hack/tools/scripts/llm-key-hunter/results/_cache/content/achieveai_lmdotnettools.json

{"repo": "achieveai/lmdotnettools", "files": {"example/LmConfigUsageExample/OpenAiGrokAgenticExample.cs": {"5df9a37e189f520689e30ebef085dd06c50d907c": {"t": 1785745808.2934623, "n": 17722, "h": "362d5ae78d9ce7a6", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = stringArray[Random.Shared.Next(4)],\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(weather));\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(time));\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return ToolHandlerResult.FromText(JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression }));\n                }\n                catch (Exception ex)\n                {\n                    return ToolHandlerResult.FromError(JsonSerializer.Serialize(new { error = ex.Message }));\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n\n                    default:\n                        // Ignore other message types\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, ToolHandler> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result.ResultText,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "26335e3cc6208c4d2aec959abf40b43d4a60047c": {"t": 1785756728.6472123, "n": 17722, "h": "362d5ae78d9ce7a6", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = stringArray[Random.Shared.Next(4)],\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(weather));\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(time));\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return ToolHandlerResult.FromText(JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression }));\n                }\n                catch (Exception ex)\n                {\n                    return ToolHandlerResult.FromError(JsonSerializer.Serialize(new { error = ex.Message }));\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n\n                    default:\n                        // Ignore other message types\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, ToolHandler> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result.ResultText,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "56588f18cc14eb718666114e86024ad32c2b7a6d": {"t": 1785756730.2002761, "n": 18173, "h": "77c43f364c259cca", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(weather));\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(time));\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return ToolHandlerResult.FromText(JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression }));\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return ToolHandlerResult.FromError(JsonSerializer.Serialize(new { error = ex.Message }));\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, ToolHandler> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\r\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result.ResultText,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "f7662cabb85b75d89939f274482822aa22c3113f": {"t": 1785756731.7211182, "n": 18060, "h": "b06dc06feecc4a8b", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return JsonSerializer.Serialize(weather);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return JsonSerializer.Serialize(time);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _, _) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return JsonSerializer.Serialize(new { error = ex.Message });\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, ToolHandler> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\r\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result.ResultText,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "274826859b8a5fca8b68a12e8d83e762390ca0aa": {"t": 1785756733.3940406, "n": 18027, "h": "25ca1fc6d9afe726", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return JsonSerializer.Serialize(weather);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return JsonSerializer.Serialize(time);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args, _) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return JsonSerializer.Serialize(new { error = ex.Message });\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, ToolHandler> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\r\n                var result = await handler(functionArgs, ctx);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result.ResultText,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "5e0ab63291333a85068466185c71ee6d9d2a9c64": {"t": 1785756734.7543228, "n": 17954, "h": "4df478a19f30dcdf", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return JsonSerializer.Serialize(weather);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return JsonSerializer.Serialize(time);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return JsonSerializer.Serialize(new { error = ex.Message });\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, Func<string, Task<ToolHandlerResult>>> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var result = await handler(functionArgs);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result.ResultText,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "7d6fbf36d4f47012f995e306cfb47494fe174abc": {"t": 1785756736.4656126, "n": 17935, "h": "d15755920836bbbd", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return JsonSerializer.Serialize(weather);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return JsonSerializer.Serialize(time);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return JsonSerializer.Serialize(new { error = ex.Message });\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers, _) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, Func<string, Task<string>>> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var result = await handler(functionArgs);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "f6fbc09259cc79ab57c0060c74e0e8c3dfb6a1cc": {"t": 1785756737.8071604, "n": 17932, "h": "d73298ad311ea5a9", "c": "using System.Text.Json;\r\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\r\nusing AchieveAi.LmDotnetTools.LmCore.Core;\r\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\r\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\r\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\r\nusing Microsoft.Extensions.Logging;\r\n\r\nnamespace LmConfigUsageExample;\r\n\r\n/// <summary>\r\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\r\n/// with the new middleware chain architecture.\r\n///\r\n/// Middleware Chain:\r\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\r\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\r\n///\r\n/// Agentic Loop:\r\n/// 1. Call middleware chain (streaming)\r\n/// 2. Collect all messages from the stream\r\n/// 3. Find ToolsCallMessage in the messages\r\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\r\n/// 5. Add ToolsCallResultMessage to conversation\r\n/// 6. Loop again\r\n/// 7. If no ToolsCallMessage, end the loop\r\n/// </summary>\r\npublic class OpenAiGrokAgenticExample\r\n{\r\n    private readonly IModelResolver _modelResolver;\r\n    private readonly IProviderAgentFactory _agentFactory;\r\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\r\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\r\n\r\n    public OpenAiGrokAgenticExample(\r\n        IModelResolver modelResolver,\r\n        IProviderAgentFactory agentFactory,\r\n        ILogger<OpenAiGrokAgenticExample> logger\r\n    )\r\n    {\r\n        _modelResolver = modelResolver;\r\n        _agentFactory = agentFactory;\r\n        _logger = logger;\r\n    }\r\n\r\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\r\n    {\r\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\r\n\r\n        // ===== Step 1: Resolve the specified model =====\r\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\r\n        if (resolution == null)\r\n        {\r\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\r\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Required API keys by model:\");\r\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\r\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\r\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\r\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\r\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\r\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\r\n            _logger.LogWarning(\"\");\r\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\r\n            return;\r\n        }\r\n\r\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\r\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\r\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\r\n\r\n        // ===== Step 3: Define Tools using FunctionRegistry =====\r\n        var registry = new FunctionRegistry();\r\n\r\n        // get_weather\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_weather\",\r\n                Description = \"Get the current weather for a location\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"location\",\r\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"unit\",\r\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = false,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var weather = new\r\n                {\r\n                    location = weatherArgs?.Location,\r\n                    temperature = Random.Shared.Next(60, 85),\r\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\r\n                    condition = stringArray[Random.Shared.Next(4)],\r\n                };\r\n\r\n                return JsonSerializer.Serialize(weather);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // get_time\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"get_time\",\r\n                Description = \"Get the current time for a timezone\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"timezone\",\r\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\r\n\r\n                await Task.Delay(100); // Simulate API call\r\n\r\n                var time = new\r\n                {\r\n                    timezone = timeArgs?.Timezone,\r\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\r\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\r\n                };\r\n\r\n                return JsonSerializer.Serialize(time);\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // calculate\r\n        _ = registry.AddFunction(\r\n            new FunctionContract\r\n            {\r\n                Name = \"calculate\",\r\n                Description = \"Perform a mathematical calculation\",\r\n                Parameters =\r\n                [\r\n                    new FunctionParameterContract\r\n                    {\r\n                        Name = \"expression\",\r\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\r\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\r\n                        IsRequired = true,\r\n                    },\r\n                ],\r\n            },\r\n            async (args) =>\r\n            {\r\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\r\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\r\n\r\n                await Task.Delay(50); // Simulate processing\r\n\r\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\r\n                try\r\n                {\r\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\r\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\r\n                }\r\n                catch (Exception ex)\r\n                {\r\n                    return JsonSerializer.Serialize(new { error = ex.Message });\r\n                }\r\n            },\r\n            providerName: \"Example\"\r\n        );\r\n\r\n        // Build middleware and handlers from registry\r\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\r\n\r\n        // ===== Step 4: Create Provider Agent =====\r\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\r\n            .WithMessageTransformation()\r\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\r\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\r\n            .WithMiddleware(toolCallMiddleware);\r\n\r\n        // ===== Step 6: Start Conversation =====\r\n        var conversationHistory = new List<IMessage>\r\n        {\r\n            new TextMessage { Text = prompt, Role = Role.User },\r\n        };\r\n\r\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\r\n\r\n        // ===== Step 7: Agentic Loop =====\r\n        var turnCount = 0;\r\n\r\n        while (turnCount < maxTurns)\r\n        {\r\n            turnCount++;\r\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\r\n\r\n            // Call LLM through middleware chain (streaming)\r\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\r\n                conversationHistory,\r\n                new GenerateReplyOptions\r\n                {\r\n                    ModelId = modelId,\r\n                    // Temperature = temperature,\r\n                    RunId = Guid.NewGuid().ToString(),\r\n                    ParentRunId = null,\r\n                    ThreadId = Guid.NewGuid().ToString(),\r\n                }\r\n            );\r\n\r\n            // Collect messages from stream and execute tool calls in parallel as they arrive\r\n            var messages = new List<IMessage>();\r\n            var textContent = new System.Text.StringBuilder();\r\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\r\n\r\n            await foreach (var message in streamTask)\r\n            {\r\n                messages.Add(message);\r\n\r\n                // Display streaming content in real-time and handle tool calls\r\n                switch (message)\r\n                {\r\n                    case ReasoningMessage reasoningMsg:\r\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\r\n                        {\r\n                            Console.Write(reasoningMsg.Reasoning);\r\n                            _ = textContent.Append(reasoningMsg.Reasoning);\r\n                        }\r\n                        break;\r\n\r\n                    case TextMessage textMsg:\r\n                        if (!string.IsNullOrEmpty(textMsg.Text))\r\n                        {\r\n                            Console.Write(textMsg.Text);\r\n                            _ = textContent.Append(textMsg.Text);\r\n                        }\r\n                        break;\r\n\r\n                    case ToolCallMessage toolCall:\r\n                        // Start executing tool call immediately when we receive it\r\n                        _logger.LogInformation(\r\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\r\n                            toolCall.FunctionName,\r\n                            toolCall.ToolCallId\r\n                        );\r\n\r\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\r\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\r\n                        break;\r\n\r\n                    case UsageMessage usage:\r\n                        _logger.LogDebug(\r\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\r\n                            usage.Usage.PromptTokens,\r\n                            usage.Usage.CompletionTokens\r\n                        );\r\n                        break;\r\n\r\n                    default:\r\n                        // Ignore other message types\r\n                        break;\r\n                }\r\n            }\r\n\r\n            Console.WriteLine(); // New line after streaming\r\n\r\n            // Add all messages to conversation history\r\n            conversationHistory.AddRange(messages);\r\n\r\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\r\n\r\n            // ===== Step 8: Check for Tool Calls and Await Results =====\r\n            if (pendingToolCalls.Count == 0)\r\n            {\r\n                // No tool calls, conversation complete\r\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\r\n\r\n                if (textContent.Length > 0)\r\n                {\r\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\r\n                }\r\n\r\n                break;\r\n            }\r\n\r\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\r\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\r\n\r\n            try\r\n            {\r\n                // Await all pending tool executions\r\n                _ = await Task.WhenAll(pendingToolCalls.Values);\r\n\r\n                // Collect results and add to conversation\r\n                foreach (var kvp in pendingToolCalls)\r\n                {\r\n                    var result = await kvp.Value;\r\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\r\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\r\n\r\n                    // Add each tool result to conversation history\r\n                    conversationHistory.Add(result);\r\n                }\r\n\r\n                _logger.LogInformation(\"Tool execution completed.\");\r\n                Console.WriteLine(); // Spacing\r\n            }\r\n            catch (Exception ex)\r\n            {\r\n                _logger.LogError(ex, \"Tool execution failed\");\r\n\r\n                // Add error message to conversation\r\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\r\n                conversationHistory.Add(errorMessage);\r\n            }\r\n        }\r\n\r\n        if (turnCount >= maxTurns)\r\n        {\r\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\r\n        }\r\n\r\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\r\n    }\r\n\r\n    // ===== Helper Methods =====\r\n\r\n    /// <summary>\r\n    /// Executes a single tool call and returns the result message.\r\n    /// </summary>\r\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\r\n        ToolCallMessage toolCall,\r\n        IDictionary<string, Func<string, Task<string>>> handlers\r\n    )\r\n    {\r\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\r\n        var functionName = toolCall.FunctionName ?? \"unknown\";\r\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\r\n\r\n        try\r\n        {\r\n            if (handlers.TryGetValue(functionName, out var handler))\r\n            {\r\n                var result = await handler(functionArgs);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = result,\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n            else\r\n            {\r\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\r\n                return new ToolCallResultMessage\r\n                {\r\n                    ToolCallId = toolCallId,\r\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\r\n                    Role = Role.User,\r\n                    FromAgent = toolCall.FromAgent,\r\n                    GenerationId = toolCall.GenerationId,\r\n                };\r\n            }\r\n        }\r\n        catch (Exception ex)\r\n        {\r\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\r\n            return new ToolCallResultMessage\r\n            {\r\n                ToolCallId = toolCallId,\r\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\r\n                Role = Role.User,\r\n                FromAgent = toolCall.FromAgent,\r\n                GenerationId = toolCall.GenerationId,\r\n            };\r\n        }\r\n    }\r\n\r\n    // ===== Helper Classes =====\r\n\r\n    private class WeatherArgs\r\n    {\r\n        public string? Location { get; set; }\r\n        public string? Unit { get; set; }\r\n    }\r\n\r\n    private class TimeArgs\r\n    {\r\n        public string? Timezone { get; set; }\r\n    }\r\n\r\n    private class CalculateArgs\r\n    {\r\n        public string? Expression { get; set; }\r\n    }\r\n\r\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\r\n    private static double EvaluateSimpleExpression(string expression)\r\n    {\r\n        expression = expression.Replace(\" \", \"\");\r\n\r\n        // Very basic calculator - only handles +, -, *, /\r\n        if (expression.Contains('+'))\r\n        {\r\n            var parts = expression.Split('+');\r\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('-'))\r\n        {\r\n            var parts = expression.Split('-');\r\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('*'))\r\n        {\r\n            var parts = expression.Split('*');\r\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\r\n        }\r\n        if (expression.Contains('/'))\r\n        {\r\n            var parts = expression.Split('/');\r\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\r\n        }\r\n\r\n        return double.Parse(expression);\r\n    }\r\n}\r\n"}, "03bb4344e55549129a4e557c4ee5443fba7e6a90": {"t": 1785756739.5514913, "n": 17482, "h": "97402165d2b8d8fe", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = stringArray[Random.Shared.Next(4)],\n                };\n\n                return JsonSerializer.Serialize(weather);\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return JsonSerializer.Serialize(time);\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\n                }\n                catch (Exception ex)\n                {\n                    return JsonSerializer.Serialize(new { error = ex.Message });\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n\n                    default:\n                        // Ignore other message types\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, Func<string, Task<string>>> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var result = await handler(functionArgs);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "256b7b69ce737c03b0d8b71dfdfe48640140eabd": {"t": 1785756741.2986786, "n": 17356, "h": "337d65351e93f18b", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = new[] { \"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\" }[Random.Shared.Next(4)],\n                };\n\n                return JsonSerializer.Serialize(weather);\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return JsonSerializer.Serialize(time);\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\n                }\n                catch (Exception ex)\n                {\n                    return JsonSerializer.Serialize(new { error = ex.Message });\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, Func<string, Task<string>>> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var result = await handler(functionArgs);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "e0a2749ec68628b6e6b3026f258b8d8451deea67": {"t": 1785756742.7041762, "n": 17313, "h": "e9fca20009040825", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = new[] { \"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\" }[Random.Shared.Next(4)],\n                };\n\n                return JsonSerializer.Serialize(weather);\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return JsonSerializer.Serialize(time);\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\n                }\n                catch (Exception ex)\n                {\n                    return JsonSerializer.Serialize(new { error = ex.Message });\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, Func<string, Task<string>>> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var result = await handler(functionArgs);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "0830e654192e285f2269a0e39a8d0683c3019c8a": {"t": 1785756744.4616446, "n": 15316, "h": "410ae0460f177633", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Services;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"grok-4.1\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools =====\n        var functions = new[]\n        {\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n        };\n\n        var functionMap = new Dictionary<string, Func<string, Task<string>>>\n        {\n            [\"get_weather\"] = async (args) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = new[] { \"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\" }[Random.Shared.Next(4)],\n                };\n\n                return JsonSerializer.Serialize(weather);\n            },\n            [\"get_time\"] = async (args) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return JsonSerializer.Serialize(time);\n            },\n            [\"calculate\"] = async (args) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\n                }\n                catch (Exception ex)\n                {\n                    return JsonSerializer.Serialize(new { error = ex.Message });\n                }\n            },\n        };\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution);\n\n        // ===== Step 5: Build Middleware Chain =====\n        // Chain structure (innermost to outermost):\n        // Provider Agent -> ToolCallInjectionMiddleware -> MessageUpdateJoinerMiddleware\n        // -> JsonFragmentUpdateMiddleware -> MessageTransformationMiddleware\n\n        // Build middleware chain by wrapping one at a time (innermost first)\n        IStreamingAgent agentWithMiddleware = providerAgent;\n\n        // 1. ToolCallInjectionMiddleware (innermost - closest to provider)\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new ToolCallInjectionMiddleware(functions: functions, name: \"ToolCallInjection\")\n        );\n\n        // 2. MessageUpdateJoinerMiddleware\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\")\n        );\n\n        // 3. JsonFragmentUpdateMiddleware\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new JsonFragmentUpdateMiddleware()\n        );\n\n        // 4. MessageTransformationMiddleware (outermost)\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new MessageTransformationMiddleware(name: \"MessageTransformation\")\n        );\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        int turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await agentWithMiddleware.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions { ModelId = modelId, Temperature = temperature }\n            );\n\n            // Collect messages from stream\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time\n                switch (message)\n                {\n                    case TextUpdateMessage textUpdate:\n                        Console.Write(textUpdate.Text);\n                        textContent.Append(textUpdate.Text);\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ReasoningUpdateMessage reasoningUpdate:\n                        // Optionally display reasoning\n                        break;\n\n                    case ToolCallUpdateMessage toolCallUpdate:\n                        // Display tool call progress\n                        if (!string.IsNullOrEmpty(toolCallUpdate.FunctionName))\n                        {\n                            _logger.LogDebug(\n                                \"[Tool Update] {FunctionName}: {Args}\",\n                                toolCallUpdate.FunctionName,\n                                toolCallUpdate.FunctionArgs\n                            );\n                        }\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls =====\n            // Look for ToolsCallMessage (plural) in the messages\n            var toolCallMessage = messages.OfType<ToolsCallMessage>().FirstOrDefault();\n\n            if (toolCallMessage == null)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Execute Tools =====\n            _logger.LogInformation(\"Executing {Count} tool call(s)...\", toolCallMessage.ToolCalls.Count);\n\n            foreach (var toolCall in toolCallMessage.ToolCalls)\n            {\n                _logger.LogInformation(\n                    \"  [{Idx}] {Name} with args: {Args}\",\n                    toolCall.ToolCallIdx,\n                    toolCall.FunctionName,\n                    toolCall.FunctionArgs\n                );\n            }\n\n            try\n            {\n                // Execute tools using ToolCallExecutor\n                var toolResult = await ToolCallExecutor.ExecuteAsync(toolCallMessage, functionMap, logger: _logger);\n\n                // Log tool results\n                _logger.LogInformation(\"Tool execution completed:\");\n                foreach (var result in toolResult.ToolCallResults)\n                {\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", result.ToolCallId, resultPreview);\n                }\n\n                // Add tool results to conversation\n                conversationHistory.Add(toolResult);\n\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "f5a5da908baf1680e1c826a97888e7cc787823fc": {"t": 1785756746.1042001, "n": 15816, "h": "b062e03e322d8aa2", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Services;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt)\n    {\n        _logger.LogInformation(\"=== OpenAI Grok4.1 Agentic Loop Example ===\\n\");\n\n        // ===== Step 1: Check Grok4.1 availability =====\n        var isAvailable = await _modelResolver.IsProviderAvailableAsync(\"xAI\");\n        if (!isAvailable)\n        {\n            _logger.LogWarning(\"xAI provider is not available. Set XAI_API_KEY environment variable.\");\n            return;\n        }\n\n        // ===== Step 2: Resolve Grok4.1 model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(\"grok-4.1\");\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve grok-4.1 model\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools =====\n        var functions = new[]\n        {\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false\n                    }\n                ]\n            },\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true\n                    }\n                ]\n            },\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true\n                    }\n                ]\n            }\n        };\n\n        var functionMap = new Dictionary<string, Func<string, Task<string>>>\n        {\n            [\"get_weather\"] = async (args) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = new[] { \"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\" }[Random.Shared.Next(4)]\n                };\n\n                return JsonSerializer.Serialize(weather);\n            },\n            [\"get_time\"] = async (args) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\")\n                };\n\n                return JsonSerializer.Serialize(time);\n            },\n            [\"calculate\"] = async (args) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression });\n                }\n                catch (Exception ex)\n                {\n                    return JsonSerializer.Serialize(new { error = ex.Message });\n                }\n            }\n        };\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution);\n\n        // ===== Step 5: Build Middleware Chain =====\n        // Chain structure (innermost to outermost):\n        // Provider Agent -> ToolCallInjectionMiddleware -> MessageUpdateJoinerMiddleware\n        // -> JsonFragmentUpdateMiddleware -> MessageTransformationMiddleware\n\n        // Build middleware chain by wrapping one at a time (innermost first)\n        IStreamingAgent agentWithMiddleware = providerAgent;\n\n        // 1. ToolCallInjectionMiddleware (innermost - closest to provider)\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new ToolCallInjectionMiddleware(functions: functions, name: \"ToolCallInjection\")\n        );\n\n        // 2. MessageUpdateJoinerMiddleware\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\")\n        );\n\n        // 3. JsonFragmentUpdateMiddleware\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new JsonFragmentUpdateMiddleware()\n        );\n\n        // 4. MessageTransformationMiddleware (outermost)\n        agentWithMiddleware = new MiddlewareWrappingStreamingAgent(\n            agentWithMiddleware,\n            new MessageTransformationMiddleware(name: \"MessageTransformation\")\n        );\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage\n            {\n                Text = prompt,\n                Role = Role.User\n            }\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        int turnCount = 0;\n        const int maxTurns = 10; // Safety limit\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await agentWithMiddleware.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = \"grok-4.1\",\n                    Temperature = 0.7f\n                }\n            );\n\n            // Collect messages from stream\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time\n                switch (message)\n                {\n                    case TextUpdateMessage textUpdate:\n                        Console.Write(textUpdate.Text);\n                        textContent.Append(textUpdate.Text);\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ReasoningUpdateMessage reasoningUpdate:\n                        // Optionally display reasoning\n                        break;\n\n                    case ToolCallUpdateMessage toolCallUpdate:\n                        // Display tool call progress\n                        if (!string.IsNullOrEmpty(toolCallUpdate.FunctionName))\n                        {\n                            _logger.LogDebug(\n                                \"[Tool Update] {FunctionName}: {Args}\",\n                                toolCallUpdate.FunctionName,\n                                toolCallUpdate.FunctionArgs\n                            );\n                        }\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls =====\n            // Look for ToolsCallMessage (plural) in the messages\n            var toolCallMessage = messages.OfType<ToolsCallMessage>().FirstOrDefault();\n\n            if (toolCallMessage == null)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Execute Tools =====\n            _logger.LogInformation(\n                \"Executing {Count} tool call(s)...\",\n                toolCallMessage.ToolCalls.Count\n            );\n\n            foreach (var toolCall in toolCallMessage.ToolCalls)\n            {\n                _logger.LogInformation(\n                    \"  [{Idx}] {Name} with args: {Args}\",\n                    toolCall.ToolCallIdx,\n                    toolCall.FunctionName,\n                    toolCall.FunctionArgs\n                );\n            }\n\n            try\n            {\n                // Execute tools using ToolCallExecutor\n                var toolResult = await ToolCallExecutor.ExecuteAsync(\n                    toolCallMessage,\n                    functionMap,\n                    logger: _logger\n                );\n\n                // Log tool results\n                _logger.LogInformation(\"Tool execution completed:\");\n                foreach (var result in toolResult.ToolCallResults)\n                {\n                    var resultPreview = result.Result.Length > 100\n                        ? result.Result[..100] + \"...\"\n                        : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", result.ToolCallId, resultPreview);\n                }\n\n                // Add tool results to conversation\n                conversationHistory.Add(toolResult);\n\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage\n                {\n                    Text = $\"Error executing tools: {ex.Message}\",\n                    Role = Role.User\n                };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "ddd4d029a734677e4b28624bd4663e1143d96e86": {"t": 1786067473.079505, "n": 17722, "h": "362d5ae78d9ce7a6", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = stringArray[Random.Shared.Next(4)],\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(weather));\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(time));\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return ToolHandlerResult.FromText(JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression }));\n                }\n                catch (Exception ex)\n                {\n                    return ToolHandlerResult.FromError(JsonSerializer.Serialize(new { error = ex.Message }));\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n\n                    default:\n                        // Ignore other message types\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, ToolHandler> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result.ResultText,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}, "3a25297b94f73fcda85e6e48bc8b48c2ee8e662d": {"t": 1786068324.15928, "n": 17722, "h": "362d5ae78d9ce7a6", "c": "using System.Text.Json;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Middleware;\nusing AchieveAi.LmDotnetTools.LmCore.Utils;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmConfigUsageExample;\n\n/// <summary>\n/// Example demonstrating an agentic loop using OpenAI provider connected to Grok4.1\n/// with the new middleware chain architecture.\n///\n/// Middleware Chain:\n/// Provider Agent => MessageTransformationMiddleware => JsonFragmentUpdateMiddleware\n/// => MessageUpdateJoinerMiddleware => ToolCallInjectionMiddleware\n///\n/// Agentic Loop:\n/// 1. Call middleware chain (streaming)\n/// 2. Collect all messages from the stream\n/// 3. Find ToolsCallMessage in the messages\n/// 4. If found, use ToolCallExecutor to execute tool calls asynchronously\n/// 5. Add ToolsCallResultMessage to conversation\n/// 6. Loop again\n/// 7. If no ToolsCallMessage, end the loop\n/// </summary>\npublic class OpenAiGrokAgenticExample\n{\n    private readonly IModelResolver _modelResolver;\n    private readonly IProviderAgentFactory _agentFactory;\n    private readonly ILogger<OpenAiGrokAgenticExample> _logger;\n    private static readonly string[] stringArray = [\"sunny\", \"cloudy\", \"rainy\", \"partly cloudy\"];\n\n    public OpenAiGrokAgenticExample(\n        IModelResolver modelResolver,\n        IProviderAgentFactory agentFactory,\n        ILogger<OpenAiGrokAgenticExample> logger\n    )\n    {\n        _modelResolver = modelResolver;\n        _agentFactory = agentFactory;\n        _logger = logger;\n    }\n\n    public async Task RunAsync(string prompt, string modelId = \"x-ai/grok-4.1-fast\", float temperature = 0.7f, int maxTurns = 10)\n    {\n        _logger.LogInformation(\"=== Agentic Loop Example with {ModelId} ===\\n\", modelId);\n\n        // ===== Step 1: Resolve the specified model =====\n        var resolution = await _modelResolver.ResolveProviderAsync(modelId);\n        if (resolution == null)\n        {\n            _logger.LogError(\"Failed to resolve model: {ModelId}\", modelId);\n            _logger.LogWarning(\"Make sure the model exists in models.json and the provider has an API key set.\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Required API keys by model:\");\n            _logger.LogWarning(\"  grok-4.1, x-ai/*       -> XAI_API_KEY\");\n            _logger.LogWarning(\"  gpt-4.1*, openai/*     -> OPENAI_API_KEY\");\n            _logger.LogWarning(\"  claude-3-*, anthropic/* -> ANTHROPIC_API_KEY\");\n            _logger.LogWarning(\"  openrouter/*           -> OPENROUTER_API_KEY\");\n            _logger.LogWarning(\"  deepseek/*             -> DEEPSEEK_API_KEY\");\n            _logger.LogWarning(\"  claude-sonnet-4-5      -> ClaudeAgentSDK (no API key needed if Claude Code authenticated)\");\n            _logger.LogWarning(\"\");\n            _logger.LogWarning(\"Use '--list-providers' to see provider status.\");\n            return;\n        }\n\n        _logger.LogInformation(\"✓ Resolved model: {ModelName}\", resolution.EffectiveModelName);\n        _logger.LogInformation(\"  Provider: {ProviderName}\", resolution.EffectiveProviderName);\n        _logger.LogInformation(\"  Endpoint: {Endpoint}\\n\", resolution.Connection.EndpointUrl);\n\n        // ===== Step 3: Define Tools using FunctionRegistry =====\n        var registry = new FunctionRegistry();\n\n        // get_weather\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_weather\",\n                Description = \"Get the current weather for a location\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"location\",\n                        Description = \"The city name (e.g., 'San Francisco', 'New York')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                    new FunctionParameterContract\n                    {\n                        Name = \"unit\",\n                        Description = \"Temperature unit: 'celsius' or 'fahrenheit'\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = false,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var weatherArgs = JsonSerializer.Deserialize<WeatherArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting weather for {Location}\", weatherArgs?.Location);\n\n                await Task.Delay(100); // Simulate API call\n\n                var weather = new\n                {\n                    location = weatherArgs?.Location,\n                    temperature = Random.Shared.Next(60, 85),\n                    unit = weatherArgs?.Unit ?? \"fahrenheit\",\n                    condition = stringArray[Random.Shared.Next(4)],\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(weather));\n            },\n            providerName: \"Example\"\n        );\n\n        // get_time\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"get_time\",\n                Description = \"Get the current time for a timezone\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"timezone\",\n                        Description = \"Timezone (e.g., 'PST', 'EST', 'UTC')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var timeArgs = JsonSerializer.Deserialize<TimeArgs>(args);\n                _logger.LogInformation(\"[TOOL] Getting time for {Timezone}\", timeArgs?.Timezone);\n\n                await Task.Delay(100); // Simulate API call\n\n                var time = new\n                {\n                    timezone = timeArgs?.Timezone,\n                    time = DateTime.UtcNow.ToString(\"HH:mm:ss\"),\n                    date = DateTime.UtcNow.ToString(\"yyyy-MM-dd\"),\n                };\n\n                return ToolHandlerResult.FromText(JsonSerializer.Serialize(time));\n            },\n            providerName: \"Example\"\n        );\n\n        // calculate\n        _ = registry.AddFunction(\n            new FunctionContract\n            {\n                Name = \"calculate\",\n                Description = \"Perform a mathematical calculation\",\n                Parameters =\n                [\n                    new FunctionParameterContract\n                    {\n                        Name = \"expression\",\n                        Description = \"Mathematical expression (e.g., '2 + 2', '10 * 5')\",\n                        ParameterType = SchemaHelper.CreateJsonSchemaFromType(typeof(string)),\n                        IsRequired = true,\n                    },\n                ],\n            },\n            async (args, _, _) =>\n            {\n                var calcArgs = JsonSerializer.Deserialize<CalculateArgs>(args);\n                _logger.LogInformation(\"[TOOL] Calculating: {Expression}\", calcArgs?.Expression);\n\n                await Task.Delay(50); // Simulate processing\n\n                // Simple eval-like calculation (for demo purposes only - unsafe in production)\n                try\n                {\n                    var result = EvaluateSimpleExpression(calcArgs?.Expression ?? \"0\");\n                    return ToolHandlerResult.FromText(JsonSerializer.Serialize(new { result, expression = calcArgs?.Expression }));\n                }\n                catch (Exception ex)\n                {\n                    return ToolHandlerResult.FromError(JsonSerializer.Serialize(new { error = ex.Message }));\n                }\n            },\n            providerName: \"Example\"\n        );\n\n        // Build middleware and handlers from registry\n        var (toolCallMiddleware, functionHandlers) = registry.BuildToolCallComponents(name: \"ToolCallInjection\");\n\n        // ===== Step 4: Create Provider Agent =====\n        var providerAgent = _agentFactory.CreateStreamingAgent(resolution)\n            .WithMessageTransformation()\n            .WithMiddleware(new JsonFragmentUpdateMiddleware())\n            .WithMiddleware(new MessageUpdateJoinerMiddleware(name: \"MessageJoiner\"))\n            .WithMiddleware(toolCallMiddleware);\n\n        // ===== Step 6: Start Conversation =====\n        var conversationHistory = new List<IMessage>\n        {\n            new TextMessage { Text = prompt, Role = Role.User },\n        };\n\n        _logger.LogInformation(\"User: {Prompt}\\n\", prompt);\n\n        // ===== Step 7: Agentic Loop =====\n        var turnCount = 0;\n\n        while (turnCount < maxTurns)\n        {\n            turnCount++;\n            _logger.LogInformation(\"=== Turn {Turn} ===\", turnCount);\n\n            // Call LLM through middleware chain (streaming)\n            var streamTask = await providerAgent.GenerateReplyStreamingAsync(\n                conversationHistory,\n                new GenerateReplyOptions\n                {\n                    ModelId = modelId,\n                    // Temperature = temperature,\n                    RunId = Guid.NewGuid().ToString(),\n                    ParentRunId = null,\n                    ThreadId = Guid.NewGuid().ToString(),\n                }\n            );\n\n            // Collect messages from stream and execute tool calls in parallel as they arrive\n            var messages = new List<IMessage>();\n            var textContent = new System.Text.StringBuilder();\n            var pendingToolCalls = new Dictionary<string, Task<ToolCallResultMessage>>();\n\n            await foreach (var message in streamTask)\n            {\n                messages.Add(message);\n\n                // Display streaming content in real-time and handle tool calls\n                switch (message)\n                {\n                    case ReasoningMessage reasoningMsg:\n                        if (!string.IsNullOrEmpty(reasoningMsg.Reasoning))\n                        {\n                            Console.Write(reasoningMsg.Reasoning);\n                            _ = textContent.Append(reasoningMsg.Reasoning);\n                        }\n                        break;\n\n                    case TextMessage textMsg:\n                        if (!string.IsNullOrEmpty(textMsg.Text))\n                        {\n                            Console.Write(textMsg.Text);\n                            _ = textContent.Append(textMsg.Text);\n                        }\n                        break;\n\n                    case ToolCallMessage toolCall:\n                        // Start executing tool call immediately when we receive it\n                        _logger.LogInformation(\n                            \"[Tool Call] Starting execution: {FunctionName} (id: {ToolCallId})\",\n                            toolCall.FunctionName,\n                            toolCall.ToolCallId\n                        );\n\n                        var executionTask = ExecuteToolCallAsync(toolCall, functionHandlers);\n                        pendingToolCalls[toolCall.ToolCallId ?? $\"call_{pendingToolCalls.Count}\"] = executionTask;\n                        break;\n\n                    case UsageMessage usage:\n                        _logger.LogDebug(\n                            \"[Usage] Prompt: {Prompt}, Completion: {Completion}\",\n                            usage.Usage.PromptTokens,\n                            usage.Usage.CompletionTokens\n                        );\n                        break;\n\n                    default:\n                        // Ignore other message types\n                        break;\n                }\n            }\n\n            Console.WriteLine(); // New line after streaming\n\n            // Add all messages to conversation history\n            conversationHistory.AddRange(messages);\n\n            _logger.LogInformation(\"Received {Count} message(s)\", messages.Count);\n\n            // ===== Step 8: Check for Tool Calls and Await Results =====\n            if (pendingToolCalls.Count == 0)\n            {\n                // No tool calls, conversation complete\n                _logger.LogInformation(\"✓ No tool calls - conversation complete\\n\");\n\n                if (textContent.Length > 0)\n                {\n                    _logger.LogInformation(\"Assistant: {Response}\", textContent.ToString());\n                }\n\n                break;\n            }\n\n            // ===== Step 9: Await Tool Results and Add to Conversation =====\n            _logger.LogInformation(\"Awaiting {Count} tool call result(s)...\", pendingToolCalls.Count);\n\n            try\n            {\n                // Await all pending tool executions\n                _ = await Task.WhenAll(pendingToolCalls.Values);\n\n                // Collect results and add to conversation\n                foreach (var kvp in pendingToolCalls)\n                {\n                    var result = await kvp.Value;\n                    var resultPreview = result.Result.Length > 100 ? result.Result[..100] + \"...\" : result.Result;\n                    _logger.LogInformation(\"  Result for {ToolCallId}: {Result}\", kvp.Key, resultPreview);\n\n                    // Add each tool result to conversation history\n                    conversationHistory.Add(result);\n                }\n\n                _logger.LogInformation(\"Tool execution completed.\");\n                Console.WriteLine(); // Spacing\n            }\n            catch (Exception ex)\n            {\n                _logger.LogError(ex, \"Tool execution failed\");\n\n                // Add error message to conversation\n                var errorMessage = new TextMessage { Text = $\"Error executing tools: {ex.Message}\", Role = Role.User };\n                conversationHistory.Add(errorMessage);\n            }\n        }\n\n        if (turnCount >= maxTurns)\n        {\n            _logger.LogWarning(\"⚠ Max turns reached - stopping conversation\");\n        }\n\n        _logger.LogInformation(\"\\n=== Agentic Loop Complete ===\");\n    }\n\n    // ===== Helper Methods =====\n\n    /// <summary>\n    /// Executes a single tool call and returns the result message.\n    /// </summary>\n    private async Task<ToolCallResultMessage> ExecuteToolCallAsync(\n        ToolCallMessage toolCall,\n        IDictionary<string, ToolHandler> handlers\n    )\n    {\n        var toolCallId = toolCall.ToolCallId ?? $\"call_{toolCall.Index}\";\n        var functionName = toolCall.FunctionName ?? \"unknown\";\n        var functionArgs = toolCall.FunctionArgs ?? \"{}\";\n\n        try\n        {\n            if (handlers.TryGetValue(functionName, out var handler))\n            {\n                var ctx = new ToolCallContext { ToolCallId = toolCall.ToolCallId };\n                var result = await handler(functionArgs, ctx, CancellationToken.None);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = result.ResultText,\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n            else\n            {\n                _logger.LogWarning(\"No handler found for function: {FunctionName}\", functionName);\n                return new ToolCallResultMessage\n                {\n                    ToolCallId = toolCallId,\n                    Result = JsonSerializer.Serialize(new { error = $\"Unknown function: {functionName}\" }),\n                    Role = Role.User,\n                    FromAgent = toolCall.FromAgent,\n                    GenerationId = toolCall.GenerationId,\n                };\n            }\n        }\n        catch (Exception ex)\n        {\n            _logger.LogError(ex, \"Error executing tool call: {FunctionName}\", functionName);\n            return new ToolCallResultMessage\n            {\n                ToolCallId = toolCallId,\n                Result = JsonSerializer.Serialize(new { error = ex.Message }),\n                Role = Role.User,\n                FromAgent = toolCall.FromAgent,\n                GenerationId = toolCall.GenerationId,\n            };\n        }\n    }\n\n    // ===== Helper Classes =====\n\n    private class WeatherArgs\n    {\n        public string? Location { get; set; }\n        public string? Unit { get; set; }\n    }\n\n    private class TimeArgs\n    {\n        public string? Timezone { get; set; }\n    }\n\n    private class CalculateArgs\n    {\n        public string? Expression { get; set; }\n    }\n\n    // Simple expression evaluator (for demo purposes only - unsafe in production)\n    private static double EvaluateSimpleExpression(string expression)\n    {\n        expression = expression.Replace(\" \", \"\");\n\n        // Very basic calculator - only handles +, -, *, /\n        if (expression.Contains('+'))\n        {\n            var parts = expression.Split('+');\n            return double.Parse(parts[0]) + double.Parse(parts[1]);\n        }\n        if (expression.Contains('-'))\n        {\n            var parts = expression.Split('-');\n            return double.Parse(parts[0]) - double.Parse(parts[1]);\n        }\n        if (expression.Contains('*'))\n        {\n            var parts = expression.Split('*');\n            return double.Parse(parts[0]) * double.Parse(parts[1]);\n        }\n        if (expression.Contains('/'))\n        {\n            var parts = expression.Split('/');\n            return double.Parse(parts[0]) / double.Parse(parts[1]);\n        }\n\n        return double.Parse(expression);\n    }\n}\n"}}, "tests/LmConfig.Tests/UnifiedAgentTests.cs": {"5df9a37e189f520689e30ebef085dd06c50d907c": {"t": 1785745826.36667, "n": 20653, "h": "2ac87503efdbef2b", "c": "using AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Options;\nusing Moq;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        services.AddSingleton<\n            AchieveAi.LmDotnetTools.LmConfig.Http.IHttpHandlerBuilder,\n            AchieveAi.LmDotnetTools.LmConfig.Http.HandlerBuilder>();\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = [],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = [\"reasoning\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "988e64991217e152367177f40ce7cb270d94cb51": {"t": 1785756730.171627, "n": 20653, "h": "2ac87503efdbef2b", "c": "using AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Options;\nusing Moq;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        services.AddSingleton<\n            AchieveAi.LmDotnetTools.LmConfig.Http.IHttpHandlerBuilder,\n            AchieveAi.LmDotnetTools.LmConfig.Http.HandlerBuilder>();\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = [],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = [\"reasoning\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "0646d27bed0ef761c17b4275c9662aaf3d3f271c": {"t": 1785756731.4511137, "n": 20915, "h": "22989f0bc6020378", "c": "using System.Linq;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Logging;\nusing Microsoft.Extensions.Options;\nusing Moq;\nusing Xunit;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        services.AddSingleton<\n            AchieveAi.LmDotnetTools.LmConfig.Http.IHttpHandlerBuilder,\n            AchieveAi.LmDotnetTools.LmConfig.Http.HandlerBuilder>();\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = Array.Empty<ModelConfig>(),\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = new[] { \"reasoning\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "762155ee02546d230e93f80853f42eaf287ba779": {"t": 1785756733.1412783, "n": 20744, "h": "ad702d83ebae2239", "c": "using System.Linq;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Logging;\nusing Microsoft.Extensions.Options;\nusing Moq;\nusing Xunit;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = Array.Empty<ModelConfig>(),\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = new[] { \"reasoning\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "22856bf8c6dd4e3bfcf39c580eb1dfed8a290f73": {"t": 1785756734.6593006, "n": 20701, "h": "35ac9c13e8a3a6cb", "c": "using System.Linq;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Logging;\nusing Microsoft.Extensions.Options;\nusing Moq;\nusing Xunit;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = Array.Empty<ModelConfig>(),\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = new[] { \"reasoning\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "d482ab4fa5c811072dad32d7029d2645b00a2f7c": {"t": 1785756736.0595503, "n": 21429, "h": "82d0af8169181e3a", "c": "using System.Linq;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Logging;\nusing Microsoft.Extensions.Options;\nusing Moq;\nusing Xunit;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig\n                            {\n                                PromptPerMillion = 1.0,\n                                CompletionPerMillion = 2.0,\n                            },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig\n                            {\n                                PromptPerMillion = 1.0,\n                                CompletionPerMillion = 2.0,\n                            },\n                            Tags = new[] { \"test\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = Array.Empty<ModelConfig>(),\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig\n                            {\n                                PromptPerMillion = 2.0,\n                                CompletionPerMillion = 8.0,\n                            },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models.First(),\n            Provider = config.Models.First().Providers.First(),\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory\n            .Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>()))\n            .Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig\n                            {\n                                PromptPerMillion = 3.0,\n                                CompletionPerMillion = 15.0,\n                            },\n                            Tags = new[] { \"openai-compatible\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models.First(),\n            Provider = config.Models.First().Providers.First(),\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory\n            .Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>()))\n            .Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = new[]\n            {\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers = new[]\n                    {\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig\n                            {\n                                PromptPerMillion = 0.55,\n                                CompletionPerMillion = 2.19,\n                            },\n                            Tags = new[] { \"reasoning\" },\n                        },\n                    },\n                },\n            },\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models.First(),\n            Provider = config.Models.First().Providers.First(),\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                new List<IMessage>\n                {\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                }\n            );\n\n        mockAgentFactory\n            .Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>()))\n            .Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "6bccbb7295a72505de8077a73cb38b3c70abe0e0": {"t": 1785756737.3638895, "n": 16977, "h": "ce0d5512d51ca34b", "c": "using Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Logging;\nusing Microsoft.Extensions.Options;\nusing Xunit;\nusing AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing Moq;\nusing System.Linq;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n  private static ServiceCollection CreateServices(AppConfig config)\n  {\n    var services = new ServiceCollection();\n    services.AddLogging();\n    services.AddSingleton(Options.Create(config));\n    return services;\n  }\n\n  private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n  {\n    await Task.CompletedTask; // Make it async\n    yield break; // Return empty sequence\n  }\n\n  [Fact]\n  public void UnifiedAgent_ShouldImplementIAgent()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = new[]\n      {\n        new ModelConfig\n        {\n          Id = \"test-model\",\n          Capabilities = new ModelCapabilities \n          { \n            TokenLimits = new TokenLimits \n            { \n              MaxContextTokens = 4000,\n              MaxOutputTokens = 1000,\n              RecommendedMaxPromptTokens = 3000 \n            } \n          },\n          Providers = new[]\n          {\n            new ProviderConfig\n            {\n              Name = \"TestProvider\",\n              ModelName = \"test-model-name\",\n              Priority = 1,\n              Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n              Tags = new[] { \"test\" }\n            }\n          }\n        }\n      },\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n      {\n        [\"TestProvider\"] = new ProviderConnectionInfo\n        {\n          EndpointUrl = \"https://test.example.com\",\n          ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n          Compatibility = \"OpenAI\"\n        }\n      }\n    };\n\n    var services = CreateServices(config);\n    services.AddSingleton<IModelResolver, ModelResolver>();\n    services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n    services.AddSingleton<UnifiedAgent>();\n    \n    var serviceProvider = services.BuildServiceProvider();\n\n    // Act\n    var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n    // Assert\n    Assert.NotNull(agent);\n    Assert.IsAssignableFrom<IAgent>(agent);\n    Assert.IsAssignableFrom<IStreamingAgent>(agent);\n  }\n\n  [Fact]\n  public async Task ModelResolver_ShouldResolveProvider()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = new[]\n      {\n        new ModelConfig\n        {\n          Id = \"test-model\",\n          Capabilities = new ModelCapabilities \n          { \n            TokenLimits = new TokenLimits \n            { \n              MaxContextTokens = 4000,\n              MaxOutputTokens = 1000,\n              RecommendedMaxPromptTokens = 3000 \n            } \n          },\n          Providers = new[]\n          {\n            new ProviderConfig\n            {\n              Name = \"TestProvider\",\n              ModelName = \"test-model-name\",\n              Priority = 1,\n              Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n              Tags = new[] { \"test\" }\n            }\n          }\n        }\n      },\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n      {\n        [\"TestProvider\"] = new ProviderConnectionInfo\n        {\n          EndpointUrl = \"https://test.example.com\",\n          ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n          Compatibility = \"OpenAI\"\n        }\n      }\n    };\n\n    // Set up the required environment variable for the test\n    Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n    \n    try\n    {\n      var services = CreateServices(config);\n      services.AddSingleton<IModelResolver, ModelResolver>();\n      \n      var serviceProvider = services.BuildServiceProvider();\n      var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n      // Act\n      var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n      // Assert\n      Assert.NotNull(resolution);\n      Assert.Equal(\"test-model\", resolution.Model.Id);\n      Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n      Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n      Assert.NotNull(resolution.Connection);\n      Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n    }\n    finally\n    {\n      // Clean up the environment variable\n      Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n    }\n  }\n\n  [Fact]\n  public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = Array.Empty<ModelConfig>(),\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>()\n    };\n\n    var services = CreateServices(config);\n    services.AddSingleton<IModelResolver, ModelResolver>();\n    \n    var serviceProvider = services.BuildServiceProvider();\n    var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n    // Act\n    var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n    // Assert\n    Assert.Null(resolution);\n  }\n\n  [Fact]\n  public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = new[]\n      {\n        new ModelConfig\n        {\n          Id = \"gpt-4.1\",\n          Capabilities = new ModelCapabilities \n          { \n            TokenLimits = new TokenLimits \n            { \n              MaxContextTokens = 4000,\n              MaxOutputTokens = 1000,\n              RecommendedMaxPromptTokens = 3000 \n            } \n          },\n          Providers = new[]\n          {\n            new ProviderConfig\n            {\n              Name = \"OpenRouter\",\n              ModelName = \"openai/gpt-4.1\", // Different from the model ID\n              Priority = 1,\n              Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n              Tags = new[] { \"openai-compatible\" }\n            }\n          }\n        }\n      },\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n      {\n        [\"OpenRouter\"] = new ProviderConnectionInfo\n        {\n          EndpointUrl = \"https://openrouter.ai/api/v1\",\n          ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n          Compatibility = \"OpenAI\"\n        }\n      }\n    };\n\n    var services = CreateServices(config);\n    \n    // Create a mock model resolver that returns a predefined resolution\n    var mockModelResolver = new Mock<IModelResolver>();\n    var expectedResolution = new ProviderResolution\n    {\n      Model = config.Models.First(),\n      Provider = config.Models.First().Providers.First(),\n      Connection = config.ProviderRegistry[\"OpenRouter\"]\n    };\n    \n    mockModelResolver.Setup(r => r.ResolveProviderAsync(\n        It.IsAny<string>(), \n        It.IsAny<ProviderSelectionCriteria>(), \n        It.IsAny<CancellationToken>()))\n      .ReturnsAsync(expectedResolution);\n    \n    // Create a mock agent factory that captures the options passed to it\n    var mockAgentFactory = new Mock<IProviderAgentFactory>();\n    var mockAgent = new Mock<IStreamingAgent>();\n    \n    GenerateReplyOptions? capturedOptions = null;\n    \n    mockAgent.Setup(a => a.GenerateReplyAsync(\n        It.IsAny<IEnumerable<IMessage>>(), \n        It.IsAny<GenerateReplyOptions>(), \n        It.IsAny<CancellationToken>()))\n      .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n        (messages, options, ct) => capturedOptions = options)\n      .ReturnsAsync(new List<IMessage> { new TextMessage { Role = Role.Assistant, Text = \"Test response\" } });\n\n    mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>()))\n      .Returns(mockAgent.Object);\n\n    services.AddSingleton(mockModelResolver.Object);\n    services.AddSingleton(mockAgentFactory.Object);\n    services.AddSingleton<UnifiedAgent>();\n    \n    var serviceProvider = services.BuildServiceProvider();\n    var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n    var messages = new List<IMessage>\n    {\n      new TextMessage { Role = Role.User, Text = \"Hello, world!\" }\n    };\n\n    var originalOptions = new GenerateReplyOptions\n    {\n      ModelId = \"gpt-4.1\", // User specifies the logical model ID\n      Temperature = 0.7f\n    };\n\n    // Act\n    await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n    // Assert\n    Assert.NotNull(capturedOptions);\n    Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n    Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n    \n    // Verify the mock was called\n    mockAgent.Verify(a => a.GenerateReplyAsync(\n      It.IsAny<IEnumerable<IMessage>>(), \n      It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"), \n      It.IsAny<CancellationToken>()), Times.Once);\n  }\n\n  [Fact]\n  public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = new[]\n      {\n        new ModelConfig\n        {\n          Id = \"claude-3-sonnet\",\n          Capabilities = new ModelCapabilities \n          { \n            TokenLimits = new TokenLimits \n            { \n              MaxContextTokens = 4000,\n              MaxOutputTokens = 1000,\n              RecommendedMaxPromptTokens = 3000 \n            } \n          },\n          Providers = new[]\n          {\n            new ProviderConfig\n            {\n              Name = \"OpenRouter\",\n              ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n              Priority = 1,\n              Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n              Tags = new[] { \"openai-compatible\" }\n            }\n          }\n        }\n      },\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n      {\n        [\"OpenRouter\"] = new ProviderConnectionInfo\n        {\n          EndpointUrl = \"https://openrouter.ai/api/v1\",\n          ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n          Compatibility = \"OpenAI\"\n        }\n      }\n    };\n\n    var services = CreateServices(config);\n    \n    // Create a mock model resolver that returns a predefined resolution\n    var mockModelResolver = new Mock<IModelResolver>();\n    var expectedResolution = new ProviderResolution\n    {\n      Model = config.Models.First(),\n      Provider = config.Models.First().Providers.First(),\n      Connection = config.ProviderRegistry[\"OpenRouter\"]\n    };\n    \n    mockModelResolver.Setup(r => r.ResolveProviderAsync(\n        It.IsAny<string>(), \n        It.IsAny<ProviderSelectionCriteria>(), \n        It.IsAny<CancellationToken>()))\n      .ReturnsAsync(expectedResolution);\n    \n    // Create a mock agent factory that captures the options passed to it\n    var mockAgentFactory = new Mock<IProviderAgentFactory>();\n    var mockAgent = new Mock<IStreamingAgent>();\n    \n    GenerateReplyOptions? capturedOptions = null;\n    \n    mockAgent.Setup(a => a.GenerateReplyStreamingAsync(\n        It.IsAny<IEnumerable<IMessage>>(), \n        It.IsAny<GenerateReplyOptions>(), \n        It.IsAny<CancellationToken>()))\n      .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n        (messages, options, ct) => capturedOptions = options)\n      .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n    mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>()))\n      .Returns(mockAgent.Object);\n\n    services.AddSingleton(mockModelResolver.Object);\n    services.AddSingleton(mockAgentFactory.Object);\n    services.AddSingleton<UnifiedAgent>();\n    \n    var serviceProvider = services.BuildServiceProvider();\n    var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n    var messages = new List<IMessage>\n    {\n      new TextMessage { Role = Role.User, Text = \"Hello, world!\" }\n    };\n\n    var originalOptions = new GenerateReplyOptions\n    {\n      ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n      Temperature = 0.5f,\n      MaxToken = 2000\n    };\n\n    // Act\n    await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n    // Assert\n    Assert.NotNull(capturedOptions);\n    Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n    Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n    Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n    \n    // Verify the mock was called\n    mockAgent.Verify(a => a.GenerateReplyStreamingAsync(\n      It.IsAny<IEnumerable<IMessage>>(), \n      It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"), \n      It.IsAny<CancellationToken>()), Times.Once);\n  }\n\n  [Fact]\n  public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n  {\n    // Arrange\n    var config = new AppConfig\n    {\n      Models = new[]\n      {\n        new ModelConfig\n        {\n          Id = \"deepseek-r1\",\n          Capabilities = new ModelCapabilities \n          { \n            TokenLimits = new TokenLimits \n            { \n              MaxContextTokens = 4000,\n              MaxOutputTokens = 1000,\n              RecommendedMaxPromptTokens = 3000 \n            } \n          },\n          Providers = new[]\n          {\n            new ProviderConfig\n            {\n              Name = \"DeepSeek\",\n              ModelName = \"deepseek-reasoner\", // Different from the model ID\n              Priority = 1,\n              Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n              Tags = new[] { \"reasoning\" }\n            }\n          }\n        }\n      },\n      ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n      {\n        [\"DeepSeek\"] = new ProviderConnectionInfo\n        {\n          EndpointUrl = \"https://api.deepseek.com/v1\",\n          ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n          Compatibility = \"OpenAI\"\n        }\n      }\n    };\n\n    var services = CreateServices(config);\n    \n    // Create a mock model resolver that returns a predefined resolution\n    var mockModelResolver = new Mock<IModelResolver>();\n    var expectedResolution = new ProviderResolution\n    {\n      Model = config.Models.First(),\n      Provider = config.Models.First().Providers.First(),\n      Connection = config.ProviderRegistry[\"DeepSeek\"]\n    };\n    \n    mockModelResolver.Setup(r => r.ResolveProviderAsync(\n        It.IsAny<string>(), \n        It.IsAny<ProviderSelectionCriteria>(), \n        It.IsAny<CancellationToken>()))\n      .ReturnsAsync(expectedResolution);\n    \n    // Create a mock agent factory that captures the options passed to it\n    var mockAgentFactory = new Mock<IProviderAgentFactory>();\n    var mockAgent = new Mock<IStreamingAgent>();\n    \n    GenerateReplyOptions? capturedOptions = null;\n    \n    mockAgent.Setup(a => a.GenerateReplyAsync(\n        It.IsAny<IEnumerable<IMessage>>(), \n        It.IsAny<GenerateReplyOptions>(), \n        It.IsAny<CancellationToken>()))\n      .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n        (messages, options, ct) => capturedOptions = options)\n      .ReturnsAsync(new List<IMessage> { new TextMessage { Role = Role.Assistant, Text = \"Test response\" } });\n\n    mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>()))\n      .Returns(mockAgent.Object);\n\n    services.AddSingleton(mockModelResolver.Object);\n    services.AddSingleton(mockAgentFactory.Object);\n    services.AddSingleton<UnifiedAgent>();\n    \n    var serviceProvider = services.BuildServiceProvider();\n    var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n    var messages = new List<IMessage>\n    {\n      new TextMessage { Role = Role.User, Text = \"Hello, world!\" }\n    };\n\n    // Pass null options but the agent should still work by getting model from context\n    // We need to test this differently since we can't pass null options and expect it to work\n    // Let's test with minimal options instead\n    var minimalOptions = new GenerateReplyOptions\n    {\n      ModelId = \"deepseek-r1\"\n    };\n\n    // Act\n    await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n    // Assert\n    Assert.NotNull(capturedOptions);\n    Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n    \n    // Verify the mock was called\n    mockAgent.Verify(a => a.GenerateReplyAsync(\n      It.IsAny<IEnumerable<IMessage>>(), \n      It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"), \n      It.IsAny<CancellationToken>()), Times.Once);\n  }\n} "}, "ddd4d029a734677e4b28624bd4663e1143d96e86": {"t": 1786067477.712407, "n": 20653, "h": "2ac87503efdbef2b", "c": "using AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Options;\nusing Moq;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        services.AddSingleton<\n            AchieveAi.LmDotnetTools.LmConfig.Http.IHttpHandlerBuilder,\n            AchieveAi.LmDotnetTools.LmConfig.Http.HandlerBuilder>();\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = [],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = [\"reasoning\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}, "3a25297b94f73fcda85e6e48bc8b48c2ee8e662d": {"t": 1786068324.5936968, "n": 20653, "h": "2ac87503efdbef2b", "c": "using AchieveAi.LmDotnetTools.LmConfig.Agents;\nusing AchieveAi.LmDotnetTools.LmConfig.Capabilities;\nusing AchieveAi.LmDotnetTools.LmConfig.Models;\nusing AchieveAi.LmDotnetTools.LmCore.Agents;\nusing AchieveAi.LmDotnetTools.LmCore.Core;\nusing AchieveAi.LmDotnetTools.LmCore.Messages;\nusing Microsoft.Extensions.DependencyInjection;\nusing Microsoft.Extensions.Options;\nusing Moq;\n\nnamespace LmConfig.Tests;\n\npublic class UnifiedAgentTests\n{\n    private static ServiceCollection CreateServices(AppConfig config)\n    {\n        var services = new ServiceCollection();\n        services.AddLogging();\n        services.AddSingleton(Options.Create(config));\n        services.AddSingleton<\n            AchieveAi.LmDotnetTools.LmConfig.Http.IHttpHandlerBuilder,\n            AchieveAi.LmDotnetTools.LmConfig.Http.HandlerBuilder>();\n        return services;\n    }\n\n    private static async IAsyncEnumerable<IMessage> CreateEmptyAsyncEnumerable()\n    {\n        await Task.CompletedTask; // Make it async\n        yield break; // Return empty sequence\n    }\n\n    [Fact]\n    public void UnifiedAgent_ShouldImplementIAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n        services.AddSingleton<IProviderAgentFactory, ProviderAgentFactory>();\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n\n        // Act\n        var agent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        // Assert\n        Assert.NotNull(agent);\n        Assert.IsAssignableFrom<IAgent>(agent);\n        Assert.IsAssignableFrom<IStreamingAgent>(agent);\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldResolveProvider()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"test-model\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"TestProvider\",\n                            ModelName = \"test-model-name\",\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 1.0, CompletionPerMillion = 2.0 },\n                            Tags = [\"test\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"TestProvider\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://test.example.com\",\n                    ApiKeyEnvironmentVariable = \"TEST_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        // Set up the required environment variable for the test\n        Environment.SetEnvironmentVariable(\"TEST_API_KEY\", \"test-api-key\");\n\n        try\n        {\n            var services = CreateServices(config);\n            services.AddSingleton<IModelResolver, ModelResolver>();\n\n            var serviceProvider = services.BuildServiceProvider();\n            var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n            // Act\n            var resolution = await resolver.ResolveProviderAsync(\"test-model\");\n\n            // Assert\n            Assert.NotNull(resolution);\n            Assert.Equal(\"test-model\", resolution.Model.Id);\n            Assert.Equal(\"TestProvider\", resolution.Provider.Name);\n            Assert.Equal(\"test-model-name\", resolution.Provider.ModelName);\n            Assert.NotNull(resolution.Connection);\n            Assert.Equal(\"https://test.example.com\", resolution.Connection.EndpointUrl);\n        }\n        finally\n        {\n            // Clean up the environment variable\n            Environment.SetEnvironmentVariable(\"TEST_API_KEY\", null);\n        }\n    }\n\n    [Fact]\n    public async Task ModelResolver_ShouldReturnNullForUnknownModel()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models = [],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>(),\n        };\n\n        var services = CreateServices(config);\n        services.AddSingleton<IModelResolver, ModelResolver>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var resolver = serviceProvider.GetRequiredService<IModelResolver>();\n\n        // Act\n        var resolution = await resolver.ResolveProviderAsync(\"unknown-model\");\n\n        // Assert\n        Assert.Null(resolution);\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdWhenForwardingToProviderAgent()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"gpt-4.1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"openai/gpt-4.1\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 2.0, CompletionPerMillion = 8.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"gpt-4.1\", // User specifies the logical model ID\n            Temperature = 0.7f,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"openai/gpt-4.1\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.7f, capturedOptions.Temperature); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"openai/gpt-4.1\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldUpdateModelIdForStreamingRequests()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"claude-3-sonnet\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"OpenRouter\",\n                            ModelName = \"anthropic/claude-3-sonnet\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 3.0, CompletionPerMillion = 15.0 },\n                            Tags = [\"openai-compatible\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"OpenRouter\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://openrouter.ai/api/v1\",\n                    ApiKeyEnvironmentVariable = \"OPENROUTER_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"OpenRouter\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(CreateEmptyAsyncEnumerable());\n\n        mockAgentFactory.Setup(f => f.CreateStreamingAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        var originalOptions = new GenerateReplyOptions\n        {\n            ModelId = \"claude-3-sonnet\", // User specifies the logical model ID\n            Temperature = 0.5f,\n            MaxToken = 2000,\n        };\n\n        // Act\n        await unifiedAgent.GenerateReplyStreamingAsync(messages, originalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"anthropic/claude-3-sonnet\", capturedOptions.ModelId); // Should be updated to provider's model name\n        Assert.Equal(0.5f, capturedOptions.Temperature); // Other properties should be preserved\n        Assert.Equal(2000, capturedOptions.MaxToken); // Other properties should be preserved\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyStreamingAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"anthropic/claude-3-sonnet\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n\n    [Fact]\n    public async Task UnifiedAgent_ShouldCreateOptionsWithEffectiveModelNameWhenNullOptions()\n    {\n        // Arrange\n        var config = new AppConfig\n        {\n            Models =\n            [\n                new ModelConfig\n                {\n                    Id = \"deepseek-r1\",\n                    Capabilities = new ModelCapabilities\n                    {\n                        TokenLimits = new TokenLimits\n                        {\n                            MaxContextTokens = 4000,\n                            MaxOutputTokens = 1000,\n                            RecommendedMaxPromptTokens = 3000,\n                        },\n                    },\n                    Providers =\n                    [\n                        new ProviderConfig\n                        {\n                            Name = \"DeepSeek\",\n                            ModelName = \"deepseek-reasoner\", // Different from the model ID\n                            Priority = 1,\n                            Pricing = new PricingConfig { PromptPerMillion = 0.55, CompletionPerMillion = 2.19 },\n                            Tags = [\"reasoning\"],\n                        },\n                    ],\n                },\n            ],\n            ProviderRegistry = new Dictionary<string, ProviderConnectionInfo>\n            {\n                [\"DeepSeek\"] = new ProviderConnectionInfo\n                {\n                    EndpointUrl = \"https://api.deepseek.com/v1\",\n                    ApiKeyEnvironmentVariable = \"DEEPSEEK_API_KEY\",\n                    Compatibility = \"OpenAI\",\n                },\n            },\n        };\n\n        var services = CreateServices(config);\n\n        // Create a mock model resolver that returns a predefined resolution\n        var mockModelResolver = new Mock<IModelResolver>();\n        var expectedResolution = new ProviderResolution\n        {\n            Model = config.Models[0],\n            Provider = config.Models[0].Providers[0],\n            Connection = config.ProviderRegistry[\"DeepSeek\"],\n        };\n\n        mockModelResolver\n            .Setup(r =>\n                r.ResolveProviderAsync(\n                    It.IsAny<string>(),\n                    It.IsAny<ProviderSelectionCriteria>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .ReturnsAsync(expectedResolution);\n\n        // Create a mock agent factory that captures the options passed to it\n        var mockAgentFactory = new Mock<IProviderAgentFactory>();\n        var mockAgent = new Mock<IStreamingAgent>();\n\n        GenerateReplyOptions? capturedOptions = null;\n\n        mockAgent\n            .Setup(a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.IsAny<GenerateReplyOptions>(),\n                    It.IsAny<CancellationToken>()\n                )\n            )\n            .Callback<IEnumerable<IMessage>, GenerateReplyOptions?, CancellationToken>(\n                (messages, options, ct) => capturedOptions = options\n            )\n            .ReturnsAsync(\n                [\n                    new TextMessage { Role = Role.Assistant, Text = \"Test response\" },\n                ]\n            );\n\n        mockAgentFactory.Setup(f => f.CreateAgent(It.IsAny<ProviderResolution>())).Returns(mockAgent.Object);\n\n        services.AddSingleton(mockModelResolver.Object);\n        services.AddSingleton(mockAgentFactory.Object);\n        services.AddSingleton<UnifiedAgent>();\n\n        var serviceProvider = services.BuildServiceProvider();\n        var unifiedAgent = serviceProvider.GetRequiredService<UnifiedAgent>();\n\n        var messages = new List<IMessage>\n        {\n            new TextMessage { Role = Role.User, Text = \"Hello, world!\" },\n        };\n\n        // Pass null options but the agent should still work by getting model from context\n        // We need to test this differently since we can't pass null options and expect it to work\n        // Let's test with minimal options instead\n        var minimalOptions = new GenerateReplyOptions { ModelId = \"deepseek-r1\" };\n\n        // Act\n        await unifiedAgent.GenerateReplyAsync(messages, minimalOptions);\n\n        // Assert\n        Assert.NotNull(capturedOptions);\n        Assert.Equal(\"deepseek-reasoner\", capturedOptions.ModelId); // Should be updated to provider's model name\n\n        // Verify the mock was called\n        mockAgent.Verify(\n            a =>\n                a.GenerateReplyAsync(\n                    It.IsAny<IEnumerable<IMessage>>(),\n                    It.Is<GenerateReplyOptions>(o => o.ModelId == \"deepseek-reasoner\"),\n                    It.IsAny<CancellationToken>()\n                ),\n            Times.Once\n        );\n    }\n}\n"}}, "tests/LmStreaming.Sample.Tests/Services/AnthropicCompatProvidersTests.cs": {"5df9a37e189f520689e30ebef085dd06c50d907c": {"t": 1785746195.086794, "n": 11524, "h": "4b39d91b2ec611a4", "c": "using LmStreaming.Sample.Services;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmStreaming.Sample.Tests.Services;\n\n/// <summary>\n/// Tests for <see cref=\"AnthropicCompatProviders.DiscoverFromEnv\" /> — the env-var-driven discovery\n/// of generic Anthropic-compatible provider families (e.g. DeepSeek). Mirrors the \"degrade to empty\n/// list, never throw\" contract of the Copilot model discovery path.\n/// </summary>\n[Collection(\"EnvironmentVariables\")]\npublic class AnthropicCompatProvidersTests\n{\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListUnset()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", null);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListBlank()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"   \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesSingleFamily_WithMultipleModels()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro,deepseek-v4-flash\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEquivalentTo(\n            [\n                new AnthropicCompatModel(\n                    \"deepseek-v4-pro\", \"deepseek-v4-pro\", \"deepseek-v4-pro\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n                new AnthropicCompatModel(\n                    \"deepseek-v4-flash\", \"deepseek-v4-flash\", \"deepseek-v4-flash\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n            ],\n            options => options.WithStrictOrdering());\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesMultipleFamilies()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"kimi-2-5\"]);\n        models.Single(m => m.FamilyKey == \"DEEPSEEK\").BaseUrl.Should().Be(\"https://api.deepseek.com/anthropic\");\n        models.Single(m => m.FamilyKey == \"KIMI\").BaseUrl.Should().Be(\"https://api.kimi.com/coding\");\n    }\n\n    [Theory]\n    [InlineData(null, \"sk-key\", \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", null, \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", \"sk-key\", null)]\n    public void DiscoverFromEnv_SkipsFamily_WhenAnyOfItsThreeVarsIsMissing(\n        string? baseUrl,\n        string? apiKey,\n        string? modelsRaw)\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"ACME\");\n        using var __ = EnvScope.Set(\"ACME_ANTHROPIC_URL\", baseUrl);\n        using var ___ = EnvScope.Set(\"ACME_APIKEY\", apiKey);\n        using var ____ = EnvScope.Set(\"ACME_MODELS\", modelsRaw);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SkipsOnlyTheIncompleteFamily_KeepsOthers()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,BROKEN\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"BROKEN_ANTHROPIC_URL\", null);\n        using var ______ = EnvScope.Set(\"BROKEN_APIKEY\", \"sk-broken\");\n        using var _______ = EnvScope.Set(\"BROKEN_MODELS\", \"broken-model\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SlugifiesNonAlphanumericCharacters_ForId_ButKeepsModelNameVerbatim()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"DeepSeek V4.Pro!\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        var model = models.Single();\n        model.Id.Should().Be(\"deepseek-v4-pro-\");\n        model.ModelName.Should().Be(\"DeepSeek V4.Pro!\");\n        model.DisplayName.Should().Be(\"DeepSeek V4.Pro!\");\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_TrimsAndIgnoresEmptyEntries_InModelsList()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \" DEEPSEEK , \");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \" deepseek-v4-pro ,, deepseek-v4-flash \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"deepseek-v4-flash\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsSameFamilySlugCollision_KeepingFirstAndWarning()\n    {\n        // \"kimi-2.5\" and \"kimi-2-5\" both slugify to \"kimi-2-5\" — a same-family collision that would\n        // otherwise let ProviderRegistry silently drop the second entry.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"KIMI\");\n        using var __ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ___ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var ____ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5,kimi-2-5\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        // First configured entry wins; the colliding second is dropped, not silently overwritten.\n        models.Select(m => m.ModelName).Should().BeEquivalentTo([\"kimi-2.5\"]);\n        models.Single().Id.Should().Be(\"kimi-2-5\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"kimi-2-5\"));\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsCrossFamilyIdCollision_KeepingFirstAndWarning()\n    {\n        // The same model name configured under two families generates the same id — a cross-family\n        // collision. Keep the first family's entry and warn rather than silently routing the shared id\n        // through the wrong family.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"shared-model\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"shared-model\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        var model = models.Should().ContainSingle().Subject;\n        model.Id.Should().Be(\"shared-model\");\n        model.FamilyKey.Should().Be(\"DEEPSEEK\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"KIMI\"));\n    }\n\n    /// <summary>\n    /// Minimal <see cref=\"ILoggerFactory\"/> capturing every entry across all created (named) loggers,\n    /// so a test can assert the discovery path logs a clear collision warning. <c>DiscoverFromEnv</c>\n    /// resolves a non-generic named logger, which the shared <c>CapturingLogger&lt;T&gt;</c> test double\n    /// (an <c>ILogger&lt;T&gt;</c>) does not cover, so this small factory bridges the gap.\n    /// </summary>\n    private sealed class CapturingLoggerFactory : ILoggerFactory\n    {\n        private readonly List<(LogLevel Level, string Message)> _entries = [];\n\n        public IReadOnlyList<(LogLevel Level, string Message)> Entries\n        {\n            get\n            {\n                lock (_entries)\n                {\n                    return [.. _entries];\n                }\n            }\n        }\n\n        public ILogger CreateLogger(string categoryName) => new CapturingLogger(_entries);\n\n        public void AddProvider(ILoggerProvider provider) { }\n\n        public void Dispose() { }\n\n        private sealed class CapturingLogger(List<(LogLevel Level, string Message)> entries) : ILogger\n        {\n            public IDisposable BeginScope<TState>(TState state)\n                where TState : notnull => NullScope.Instance;\n\n            public bool IsEnabled(LogLevel logLevel) => true;\n\n            public void Log<TState>(\n                LogLevel logLevel,\n                EventId eventId,\n                TState state,\n                Exception? exception,\n                Func<TState, Exception?, string> formatter)\n            {\n                var message = formatter(state, exception);\n                lock (entries)\n                {\n                    entries.Add((logLevel, message));\n                }\n            }\n\n            private sealed class NullScope : IDisposable\n            {\n                public static readonly NullScope Instance = new();\n\n                public void Dispose() { }\n            }\n        }\n    }\n\n    /// <summary>\n    /// Snapshots the current value of an environment variable and restores it on dispose.\n    /// Tests that mutate env vars must use this scope to avoid polluting other tests.\n    /// </summary>\n    private sealed class EnvScope : IDisposable\n    {\n        private readonly string _name;\n        private readonly string? _previous;\n\n        private EnvScope(string name, string? previous)\n        {\n            _name = name;\n            _previous = previous;\n        }\n\n        public static EnvScope Set(string name, string? value)\n        {\n            var previous = Environment.GetEnvironmentVariable(name);\n            Environment.SetEnvironmentVariable(name, value);\n            return new EnvScope(name, previous);\n        }\n\n        public void Dispose()\n        {\n            Environment.SetEnvironmentVariable(_name, _previous);\n        }\n    }\n}\n"}, "5c7fc75b3dc6563a2a4c5b81f277d020ab247b9a": {"t": 1785756728.6091518, "n": 11524, "h": "4b39d91b2ec611a4", "c": "using LmStreaming.Sample.Services;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmStreaming.Sample.Tests.Services;\n\n/// <summary>\n/// Tests for <see cref=\"AnthropicCompatProviders.DiscoverFromEnv\" /> — the env-var-driven discovery\n/// of generic Anthropic-compatible provider families (e.g. DeepSeek). Mirrors the \"degrade to empty\n/// list, never throw\" contract of the Copilot model discovery path.\n/// </summary>\n[Collection(\"EnvironmentVariables\")]\npublic class AnthropicCompatProvidersTests\n{\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListUnset()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", null);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListBlank()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"   \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesSingleFamily_WithMultipleModels()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro,deepseek-v4-flash\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEquivalentTo(\n            [\n                new AnthropicCompatModel(\n                    \"deepseek-v4-pro\", \"deepseek-v4-pro\", \"deepseek-v4-pro\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n                new AnthropicCompatModel(\n                    \"deepseek-v4-flash\", \"deepseek-v4-flash\", \"deepseek-v4-flash\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n            ],\n            options => options.WithStrictOrdering());\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesMultipleFamilies()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"kimi-2-5\"]);\n        models.Single(m => m.FamilyKey == \"DEEPSEEK\").BaseUrl.Should().Be(\"https://api.deepseek.com/anthropic\");\n        models.Single(m => m.FamilyKey == \"KIMI\").BaseUrl.Should().Be(\"https://api.kimi.com/coding\");\n    }\n\n    [Theory]\n    [InlineData(null, \"sk-key\", \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", null, \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", \"sk-key\", null)]\n    public void DiscoverFromEnv_SkipsFamily_WhenAnyOfItsThreeVarsIsMissing(\n        string? baseUrl,\n        string? apiKey,\n        string? modelsRaw)\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"ACME\");\n        using var __ = EnvScope.Set(\"ACME_ANTHROPIC_URL\", baseUrl);\n        using var ___ = EnvScope.Set(\"ACME_APIKEY\", apiKey);\n        using var ____ = EnvScope.Set(\"ACME_MODELS\", modelsRaw);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SkipsOnlyTheIncompleteFamily_KeepsOthers()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,BROKEN\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"BROKEN_ANTHROPIC_URL\", null);\n        using var ______ = EnvScope.Set(\"BROKEN_APIKEY\", \"sk-broken\");\n        using var _______ = EnvScope.Set(\"BROKEN_MODELS\", \"broken-model\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SlugifiesNonAlphanumericCharacters_ForId_ButKeepsModelNameVerbatim()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"DeepSeek V4.Pro!\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        var model = models.Single();\n        model.Id.Should().Be(\"deepseek-v4-pro-\");\n        model.ModelName.Should().Be(\"DeepSeek V4.Pro!\");\n        model.DisplayName.Should().Be(\"DeepSeek V4.Pro!\");\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_TrimsAndIgnoresEmptyEntries_InModelsList()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \" DEEPSEEK , \");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \" deepseek-v4-pro ,, deepseek-v4-flash \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"deepseek-v4-flash\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsSameFamilySlugCollision_KeepingFirstAndWarning()\n    {\n        // \"kimi-2.5\" and \"kimi-2-5\" both slugify to \"kimi-2-5\" — a same-family collision that would\n        // otherwise let ProviderRegistry silently drop the second entry.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"KIMI\");\n        using var __ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ___ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var ____ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5,kimi-2-5\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        // First configured entry wins; the colliding second is dropped, not silently overwritten.\n        models.Select(m => m.ModelName).Should().BeEquivalentTo([\"kimi-2.5\"]);\n        models.Single().Id.Should().Be(\"kimi-2-5\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"kimi-2-5\"));\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsCrossFamilyIdCollision_KeepingFirstAndWarning()\n    {\n        // The same model name configured under two families generates the same id — a cross-family\n        // collision. Keep the first family's entry and warn rather than silently routing the shared id\n        // through the wrong family.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"shared-model\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"shared-model\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        var model = models.Should().ContainSingle().Subject;\n        model.Id.Should().Be(\"shared-model\");\n        model.FamilyKey.Should().Be(\"DEEPSEEK\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"KIMI\"));\n    }\n\n    /// <summary>\n    /// Minimal <see cref=\"ILoggerFactory\"/> capturing every entry across all created (named) loggers,\n    /// so a test can assert the discovery path logs a clear collision warning. <c>DiscoverFromEnv</c>\n    /// resolves a non-generic named logger, which the shared <c>CapturingLogger&lt;T&gt;</c> test double\n    /// (an <c>ILogger&lt;T&gt;</c>) does not cover, so this small factory bridges the gap.\n    /// </summary>\n    private sealed class CapturingLoggerFactory : ILoggerFactory\n    {\n        private readonly List<(LogLevel Level, string Message)> _entries = [];\n\n        public IReadOnlyList<(LogLevel Level, string Message)> Entries\n        {\n            get\n            {\n                lock (_entries)\n                {\n                    return [.. _entries];\n                }\n            }\n        }\n\n        public ILogger CreateLogger(string categoryName) => new CapturingLogger(_entries);\n\n        public void AddProvider(ILoggerProvider provider) { }\n\n        public void Dispose() { }\n\n        private sealed class CapturingLogger(List<(LogLevel Level, string Message)> entries) : ILogger\n        {\n            public IDisposable BeginScope<TState>(TState state)\n                where TState : notnull => NullScope.Instance;\n\n            public bool IsEnabled(LogLevel logLevel) => true;\n\n            public void Log<TState>(\n                LogLevel logLevel,\n                EventId eventId,\n                TState state,\n                Exception? exception,\n                Func<TState, Exception?, string> formatter)\n            {\n                var message = formatter(state, exception);\n                lock (entries)\n                {\n                    entries.Add((logLevel, message));\n                }\n            }\n\n            private sealed class NullScope : IDisposable\n            {\n                public static readonly NullScope Instance = new();\n\n                public void Dispose() { }\n            }\n        }\n    }\n\n    /// <summary>\n    /// Snapshots the current value of an environment variable and restores it on dispose.\n    /// Tests that mutate env vars must use this scope to avoid polluting other tests.\n    /// </summary>\n    private sealed class EnvScope : IDisposable\n    {\n        private readonly string _name;\n        private readonly string? _previous;\n\n        private EnvScope(string name, string? previous)\n        {\n            _name = name;\n            _previous = previous;\n        }\n\n        public static EnvScope Set(string name, string? value)\n        {\n            var previous = Environment.GetEnvironmentVariable(name);\n            Environment.SetEnvironmentVariable(name, value);\n            return new EnvScope(name, previous);\n        }\n\n        public void Dispose()\n        {\n            Environment.SetEnvironmentVariable(_name, _previous);\n        }\n    }\n}\n"}, "ddd4d029a734677e4b28624bd4663e1143d96e86": {"t": 1786067627.5893624, "n": 11524, "h": "4b39d91b2ec611a4", "c": "using LmStreaming.Sample.Services;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmStreaming.Sample.Tests.Services;\n\n/// <summary>\n/// Tests for <see cref=\"AnthropicCompatProviders.DiscoverFromEnv\" /> — the env-var-driven discovery\n/// of generic Anthropic-compatible provider families (e.g. DeepSeek). Mirrors the \"degrade to empty\n/// list, never throw\" contract of the Copilot model discovery path.\n/// </summary>\n[Collection(\"EnvironmentVariables\")]\npublic class AnthropicCompatProvidersTests\n{\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListUnset()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", null);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListBlank()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"   \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesSingleFamily_WithMultipleModels()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro,deepseek-v4-flash\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEquivalentTo(\n            [\n                new AnthropicCompatModel(\n                    \"deepseek-v4-pro\", \"deepseek-v4-pro\", \"deepseek-v4-pro\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n                new AnthropicCompatModel(\n                    \"deepseek-v4-flash\", \"deepseek-v4-flash\", \"deepseek-v4-flash\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n            ],\n            options => options.WithStrictOrdering());\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesMultipleFamilies()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"kimi-2-5\"]);\n        models.Single(m => m.FamilyKey == \"DEEPSEEK\").BaseUrl.Should().Be(\"https://api.deepseek.com/anthropic\");\n        models.Single(m => m.FamilyKey == \"KIMI\").BaseUrl.Should().Be(\"https://api.kimi.com/coding\");\n    }\n\n    [Theory]\n    [InlineData(null, \"sk-key\", \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", null, \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", \"sk-key\", null)]\n    public void DiscoverFromEnv_SkipsFamily_WhenAnyOfItsThreeVarsIsMissing(\n        string? baseUrl,\n        string? apiKey,\n        string? modelsRaw)\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"ACME\");\n        using var __ = EnvScope.Set(\"ACME_ANTHROPIC_URL\", baseUrl);\n        using var ___ = EnvScope.Set(\"ACME_APIKEY\", apiKey);\n        using var ____ = EnvScope.Set(\"ACME_MODELS\", modelsRaw);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SkipsOnlyTheIncompleteFamily_KeepsOthers()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,BROKEN\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"BROKEN_ANTHROPIC_URL\", null);\n        using var ______ = EnvScope.Set(\"BROKEN_APIKEY\", \"sk-broken\");\n        using var _______ = EnvScope.Set(\"BROKEN_MODELS\", \"broken-model\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SlugifiesNonAlphanumericCharacters_ForId_ButKeepsModelNameVerbatim()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"DeepSeek V4.Pro!\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        var model = models.Single();\n        model.Id.Should().Be(\"deepseek-v4-pro-\");\n        model.ModelName.Should().Be(\"DeepSeek V4.Pro!\");\n        model.DisplayName.Should().Be(\"DeepSeek V4.Pro!\");\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_TrimsAndIgnoresEmptyEntries_InModelsList()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \" DEEPSEEK , \");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \" deepseek-v4-pro ,, deepseek-v4-flash \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"deepseek-v4-flash\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsSameFamilySlugCollision_KeepingFirstAndWarning()\n    {\n        // \"kimi-2.5\" and \"kimi-2-5\" both slugify to \"kimi-2-5\" — a same-family collision that would\n        // otherwise let ProviderRegistry silently drop the second entry.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"KIMI\");\n        using var __ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ___ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var ____ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5,kimi-2-5\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        // First configured entry wins; the colliding second is dropped, not silently overwritten.\n        models.Select(m => m.ModelName).Should().BeEquivalentTo([\"kimi-2.5\"]);\n        models.Single().Id.Should().Be(\"kimi-2-5\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"kimi-2-5\"));\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsCrossFamilyIdCollision_KeepingFirstAndWarning()\n    {\n        // The same model name configured under two families generates the same id — a cross-family\n        // collision. Keep the first family's entry and warn rather than silently routing the shared id\n        // through the wrong family.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"shared-model\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"shared-model\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        var model = models.Should().ContainSingle().Subject;\n        model.Id.Should().Be(\"shared-model\");\n        model.FamilyKey.Should().Be(\"DEEPSEEK\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"KIMI\"));\n    }\n\n    /// <summary>\n    /// Minimal <see cref=\"ILoggerFactory\"/> capturing every entry across all created (named) loggers,\n    /// so a test can assert the discovery path logs a clear collision warning. <c>DiscoverFromEnv</c>\n    /// resolves a non-generic named logger, which the shared <c>CapturingLogger&lt;T&gt;</c> test double\n    /// (an <c>ILogger&lt;T&gt;</c>) does not cover, so this small factory bridges the gap.\n    /// </summary>\n    private sealed class CapturingLoggerFactory : ILoggerFactory\n    {\n        private readonly List<(LogLevel Level, string Message)> _entries = [];\n\n        public IReadOnlyList<(LogLevel Level, string Message)> Entries\n        {\n            get\n            {\n                lock (_entries)\n                {\n                    return [.. _entries];\n                }\n            }\n        }\n\n        public ILogger CreateLogger(string categoryName) => new CapturingLogger(_entries);\n\n        public void AddProvider(ILoggerProvider provider) { }\n\n        public void Dispose() { }\n\n        private sealed class CapturingLogger(List<(LogLevel Level, string Message)> entries) : ILogger\n        {\n            public IDisposable BeginScope<TState>(TState state)\n                where TState : notnull => NullScope.Instance;\n\n            public bool IsEnabled(LogLevel logLevel) => true;\n\n            public void Log<TState>(\n                LogLevel logLevel,\n                EventId eventId,\n                TState state,\n                Exception? exception,\n                Func<TState, Exception?, string> formatter)\n            {\n                var message = formatter(state, exception);\n                lock (entries)\n                {\n                    entries.Add((logLevel, message));\n                }\n            }\n\n            private sealed class NullScope : IDisposable\n            {\n                public static readonly NullScope Instance = new();\n\n                public void Dispose() { }\n            }\n        }\n    }\n\n    /// <summary>\n    /// Snapshots the current value of an environment variable and restores it on dispose.\n    /// Tests that mutate env vars must use this scope to avoid polluting other tests.\n    /// </summary>\n    private sealed class EnvScope : IDisposable\n    {\n        private readonly string _name;\n        private readonly string? _previous;\n\n        private EnvScope(string name, string? previous)\n        {\n            _name = name;\n            _previous = previous;\n        }\n\n        public static EnvScope Set(string name, string? value)\n        {\n            var previous = Environment.GetEnvironmentVariable(name);\n            Environment.SetEnvironmentVariable(name, value);\n            return new EnvScope(name, previous);\n        }\n\n        public void Dispose()\n        {\n            Environment.SetEnvironmentVariable(_name, _previous);\n        }\n    }\n}\n"}, "3a25297b94f73fcda85e6e48bc8b48c2ee8e662d": {"t": 1786068389.0838702, "n": 11524, "h": "4b39d91b2ec611a4", "c": "using LmStreaming.Sample.Services;\nusing Microsoft.Extensions.Logging;\n\nnamespace LmStreaming.Sample.Tests.Services;\n\n/// <summary>\n/// Tests for <see cref=\"AnthropicCompatProviders.DiscoverFromEnv\" /> — the env-var-driven discovery\n/// of generic Anthropic-compatible provider families (e.g. DeepSeek). Mirrors the \"degrade to empty\n/// list, never throw\" contract of the Copilot model discovery path.\n/// </summary>\n[Collection(\"EnvironmentVariables\")]\npublic class AnthropicCompatProvidersTests\n{\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListUnset()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", null);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ReturnsEmpty_WhenProvidersListBlank()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"   \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesSingleFamily_WithMultipleModels()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro,deepseek-v4-flash\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEquivalentTo(\n            [\n                new AnthropicCompatModel(\n                    \"deepseek-v4-pro\", \"deepseek-v4-pro\", \"deepseek-v4-pro\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n                new AnthropicCompatModel(\n                    \"deepseek-v4-flash\", \"deepseek-v4-flash\", \"deepseek-v4-flash\",\n                    \"https://api.deepseek.com/anthropic\", \"sk-deepseek\", \"DEEPSEEK\"),\n            ],\n            options => options.WithStrictOrdering());\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_ParsesMultipleFamilies()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"kimi-2-5\"]);\n        models.Single(m => m.FamilyKey == \"DEEPSEEK\").BaseUrl.Should().Be(\"https://api.deepseek.com/anthropic\");\n        models.Single(m => m.FamilyKey == \"KIMI\").BaseUrl.Should().Be(\"https://api.kimi.com/coding\");\n    }\n\n    [Theory]\n    [InlineData(null, \"sk-key\", \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", null, \"model-a\")]\n    [InlineData(\"https://example.com/anthropic\", \"sk-key\", null)]\n    public void DiscoverFromEnv_SkipsFamily_WhenAnyOfItsThreeVarsIsMissing(\n        string? baseUrl,\n        string? apiKey,\n        string? modelsRaw)\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"ACME\");\n        using var __ = EnvScope.Set(\"ACME_ANTHROPIC_URL\", baseUrl);\n        using var ___ = EnvScope.Set(\"ACME_APIKEY\", apiKey);\n        using var ____ = EnvScope.Set(\"ACME_MODELS\", modelsRaw);\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Should().BeEmpty();\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SkipsOnlyTheIncompleteFamily_KeepsOthers()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,BROKEN\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"deepseek-v4-pro\");\n        using var _____ = EnvScope.Set(\"BROKEN_ANTHROPIC_URL\", null);\n        using var ______ = EnvScope.Set(\"BROKEN_APIKEY\", \"sk-broken\");\n        using var _______ = EnvScope.Set(\"BROKEN_MODELS\", \"broken-model\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_SlugifiesNonAlphanumericCharacters_ForId_ButKeepsModelNameVerbatim()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"DeepSeek V4.Pro!\");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        var model = models.Single();\n        model.Id.Should().Be(\"deepseek-v4-pro-\");\n        model.ModelName.Should().Be(\"DeepSeek V4.Pro!\");\n        model.DisplayName.Should().Be(\"DeepSeek V4.Pro!\");\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_TrimsAndIgnoresEmptyEntries_InModelsList()\n    {\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \" DEEPSEEK , \");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \" deepseek-v4-pro ,, deepseek-v4-flash \");\n\n        var models = AnthropicCompatProviders.DiscoverFromEnv(NullLoggerFactory.Instance);\n\n        models.Select(m => m.Id).Should().BeEquivalentTo([\"deepseek-v4-pro\", \"deepseek-v4-flash\"]);\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsSameFamilySlugCollision_KeepingFirstAndWarning()\n    {\n        // \"kimi-2.5\" and \"kimi-2-5\" both slugify to \"kimi-2-5\" — a same-family collision that would\n        // otherwise let ProviderRegistry silently drop the second entry.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"KIMI\");\n        using var __ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ___ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var ____ = EnvScope.Set(\"KIMI_MODELS\", \"kimi-2.5,kimi-2-5\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        // First configured entry wins; the colliding second is dropped, not silently overwritten.\n        models.Select(m => m.ModelName).Should().BeEquivalentTo([\"kimi-2.5\"]);\n        models.Single().Id.Should().Be(\"kimi-2-5\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"kimi-2-5\"));\n    }\n\n    [Fact]\n    public void DiscoverFromEnv_DropsCrossFamilyIdCollision_KeepingFirstAndWarning()\n    {\n        // The same model name configured under two families generates the same id — a cross-family\n        // collision. Keep the first family's entry and warn rather than silently routing the shared id\n        // through the wrong family.\n        using var _ = EnvScope.Set(\"ANTHROPIC_COMPAT_PROVIDERS\", \"DEEPSEEK,KIMI\");\n        using var __ = EnvScope.Set(\"DEEPSEEK_ANTHROPIC_URL\", \"https://api.deepseek.com/anthropic\");\n        using var ___ = EnvScope.Set(\"DEEPSEEK_APIKEY\", \"sk-deepseek\");\n        using var ____ = EnvScope.Set(\"DEEPSEEK_MODELS\", \"shared-model\");\n        using var _____ = EnvScope.Set(\"KIMI_ANTHROPIC_URL\", \"https://api.kimi.com/coding\");\n        using var ______ = EnvScope.Set(\"KIMI_APIKEY\", \"sk-kimi\");\n        using var _______ = EnvScope.Set(\"KIMI_MODELS\", \"shared-model\");\n\n        var factory = new CapturingLoggerFactory();\n        var models = AnthropicCompatProviders.DiscoverFromEnv(factory);\n\n        var model = models.Should().ContainSingle().Subject;\n        model.Id.Should().Be(\"shared-model\");\n        model.FamilyKey.Should().Be(\"DEEPSEEK\");\n        factory.Entries\n            .Should()\n            .ContainSingle(e => e.Level == LogLevel.Warning && e.Message.Contains(\"collides\") && e.Message.Contains(\"KIMI\"));\n    }\n\n    /// <summary>\n    /// Minimal <see cref=\"ILoggerFactory\"/> capturing every entry across all created (named) loggers,\n    /// so a test can assert the discovery path logs a clear collision warning. <c>DiscoverFromEnv</c>\n    /// resolves a non-generic named logger, which the shared <c>CapturingLogger&lt;T&gt;</c> test double\n    /// (an <c>ILogger&lt;T&gt;</c>) does not cover, so this small factory bridges the gap.\n    /// </summary>\n    private sealed class CapturingLoggerFactory : ILoggerFactory\n    {\n        private readonly List<(LogLevel Level, string Message)> _entries = [];\n\n        public IReadOnlyList<(LogLevel Level, string Message)> Entries\n        {\n            get\n            {\n                lock (_entries)\n                {\n                    return [.. _entries];\n                }\n            }\n        }\n\n        public ILogger CreateLogger(string categoryName) => new CapturingLogger(_entries);\n\n        public void AddProvider(ILoggerProvider provider) { }\n\n        public void Dispose() { }\n\n        private sealed class CapturingLogger(List<(LogLevel Level, string Message)> entries) : ILogger\n        {\n            public IDisposable BeginScope<TState>(TState state)\n                where TState : notnull => NullScope.Instance;\n\n            public bool IsEnabled(LogLevel logLevel) => true;\n\n            public void Log<TState>(\n                LogLevel logLevel,\n                EventId eventId,\n                TState state,\n                Exception? exception,\n                Func<TState, Exception?, string> formatter)\n            {\n                var message = formatter(state, exception);\n                lock (entries)\n                {\n                    entries.Add((logLevel, message));\n                }\n            }\n\n            private sealed class NullScope : IDisposable\n            {\n                public static readonly NullScope Instance = new();\n\n                public void Dispose() { }\n            }\n        }\n    }\n\n    /// <summary>\n    /// Snapshots the current value of an environment variable and restores it on dispose.\n    /// Tests that mutate env vars must use this scope to avoid polluting other tests.\n    /// </summary>\n    private sealed class EnvScope : IDisposable\n    {\n        private readonly string _name;\n        private readonly string? _previous;\n\n        private EnvScope(string name, string? previous)\n        {\n            _name = name;\n            _previous = previous;\n        }\n\n        public static EnvScope Set(string name, string? value)\n        {\n            var previous = Environment.GetEnvironmentVariable(name);\n            Environment.SetEnvironmentVariable(name, value);\n            return new EnvScope(name, previous);\n        }\n\n        public void Dispose()\n        {\n            Environment.SetEnvironmentVariable(_name, _previous);\n        }\n    }\n}\n"}}}}