hack/tools/scripts/llm-key-hunter/results/_cache/content/byte4tide_supersonic-o.json

{"repo": "byte4tide/supersonic-o", "files": {"launchers/standalone/src/test/java/com/tencent/supersonic/util/LLMConfigUtils.java": {"97710a90c4ac5b9c0c962c84f2c2adb98a10dd4e": {"t": 1785746123.2876437, "n": 3591, "h": "c618915efed9a179", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false),\n        OPENAI_MOONSHOT(false),\n        OPENAI_DEEPSEEK(false),\n        OPENAI_QWEN(false),\n        OPENAI_GLM(false),\n        OLLAMA_LLAMA3(true),\n        OLLAMA_QWEN2(true),\n        OLLAMA_QWEN25_7B(true),\n        OLLAMA_QWEN25_14B(true),\n        OLLAMA_QWEN25_CODE_7B(true),\n        OLLAMA_QWEN25_CODE_3B(true),\n        OLLAMA_GLM4(true);\n\n\n        public boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25_7B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OLLAMA_QWEN25_14B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:14b\";\n                break;\n            case OLLAMA_QWEN25_CODE_7B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5-coder:7b\";\n                break;\n            case OLLAMA_QWEN25_CODE_3B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5-coder:3b\";\n                break;\n            case OLLAMA_GLM4:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"glm4:latest\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"OLLAMA\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"OPEN_AI\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "593597fe26db0830239defbdd982d6d91ba40f9f": {"t": 1785760016.134328, "n": 3591, "h": "c618915efed9a179", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false),\n        OPENAI_MOONSHOT(false),\n        OPENAI_DEEPSEEK(false),\n        OPENAI_QWEN(false),\n        OPENAI_GLM(false),\n        OLLAMA_LLAMA3(true),\n        OLLAMA_QWEN2(true),\n        OLLAMA_QWEN25_7B(true),\n        OLLAMA_QWEN25_14B(true),\n        OLLAMA_QWEN25_CODE_7B(true),\n        OLLAMA_QWEN25_CODE_3B(true),\n        OLLAMA_GLM4(true);\n\n\n        public boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25_7B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OLLAMA_QWEN25_14B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:14b\";\n                break;\n            case OLLAMA_QWEN25_CODE_7B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5-coder:7b\";\n                break;\n            case OLLAMA_QWEN25_CODE_3B:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5-coder:3b\";\n                break;\n            case OLLAMA_GLM4:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"glm4:latest\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"OLLAMA\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"OPEN_AI\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "2c75a6972a648ab33e377005a6535ea1fe2fbb3c": {"t": 1785760017.5820575, "n": 2822, "h": "0dba785b2cf405d1", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false),\n        OPENAI_MOONSHOT(false),\n        OPENAI_DEEPSEEK(false),\n        OPENAI_QWEN(false),\n        OPENAI_GLM(false),\n        OLLAMA_LLAMA3(true),\n        OLLAMA_QWEN2(true),\n        OLLAMA_QWEN25(true);\n\n        public boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"OLLAMA\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"OPEN_AI\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "0a728d3d5d1f50d4302ad06e59627abec442a996": {"t": 1785760018.9625142, "n": 2808, "h": "6a59fd2292ed1abe", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false), OPENAI_MOONSHOT(false), OPENAI_DEEPSEEK(false), OPENAI_QWEN(\n                false), OPENAI_GLM(\n                        false), OLLAMA_LLAMA3(true), OLLAMA_QWEN2(true), OLLAMA_QWEN25(true);\n\n        public boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"OLLAMA\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"OPEN_AI\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "cd57d2344ea46e9cff336d01c79e24fc1d642dfa": {"t": 1785760020.1795008, "n": 2809, "h": "b031af4100c27551", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false), OPENAI_MOONSHOT(false), OPENAI_DEEPSEEK(false), OPENAI_QWEN(\n                false), OPENAI_GLM(\n                        false), OLLAMA_LLAMA3(true), OLLAMA_QWEN2(true), OLLAMA_QWEN25(true);\n\n        private boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"OLLAMA\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"OPEN_AI\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "27e654a873b6e61c6d389fb49f07407a0dbd32e1": {"t": 1785760021.8121965, "n": 2809, "h": "6bc14d515b9aea9f", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false), OPENAI_MOONSHOT(false), OPENAI_DEEPSEEK(false), OPENAI_QWEN(\n                false), OPENAI_GLM(\n                        false), OLLAMA_LLAMA3(true), OLLAMA_QWEN2(true), OLLAMA_QWEN25(true);\n\n        private boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-4o\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"ollama\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"open_ai\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "71a9954be59390117935b675c79a1d9351c47a7e": {"t": 1785760023.114281, "n": 2816, "h": "123296ce2f57f160", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false), OPENAI_MOONSHOT(false), OPENAI_DEEPSEEK(false), OPENAI_QWEN(\n                false), OPENAI_GLM(\n                        false), OLLAMA_LLAMA3(true), OLLAMA_QWEN2(true), OLLAMA_QWEN25(true);\n\n        private boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-3.5-turbo\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig = ChatModelConfig.builder().provider(\"ollama\").baseUrl(baseUrl)\n                    .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder().provider(\"open_ai\").baseUrl(baseUrl).apiKey(apiKey)\n                            .modelName(modelName).temperature(temperature).timeOut(60000L).build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "26ca5300f4791c88a003dcf473a9535946f65b58": {"t": 1785760024.7129936, "n": 3177, "h": "34beb7eef2fc010a", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        OPENAI_GPT(false),\n        OPENAI_MOONSHOT(false),\n        OPENAI_DEEPSEEK(false),\n        OPENAI_QWEN(false),\n        OPENAI_GLM(false),\n        OLLAMA_LLAMA3(true),\n        OLLAMA_QWEN2(true),\n        OLLAMA_QWEN25(true);\n\n        private boolean isOllam;\n\n        LLMType(boolean isOllam) {\n            this.isOllam = isOllam;\n        }\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey = \"\";\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case OLLAMA_LLAMA3:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"llama3.1:8b\";\n                break;\n            case OLLAMA_QWEN2:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2:7b\";\n                break;\n            case OLLAMA_QWEN25:\n                baseUrl = \"http://localhost:11434\";\n                modelName = \"qwen2.5:7b\";\n                break;\n            case OPENAI_GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case OPENAI_MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case OPENAI_DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case OPENAI_QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case OPENAI_GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-3.5-turbo\";\n                temperature = 0.0;\n        }\n\n        ChatModelConfig chatModelConfig;\n        if (type.isOllam) {\n            chatModelConfig =\n                    ChatModelConfig.builder()\n                            .provider(\"ollama\")\n                            .baseUrl(baseUrl)\n                            .modelName(modelName)\n                            .temperature(temperature)\n                            .timeOut(60000L)\n                            .build();\n        } else {\n            chatModelConfig =\n                    ChatModelConfig.builder()\n                            .provider(\"open_ai\")\n                            .baseUrl(baseUrl)\n                            .apiKey(apiKey)\n                            .modelName(modelName)\n                            .temperature(temperature)\n                            .timeOut(60000L)\n                            .build();\n        }\n\n        return chatModelConfig;\n    }\n}\n"}, "10a5e485cbad307e81293da7b32c8c77c0d4b309": {"t": 1785760027.2104845, "n": 1824, "h": "b820fe0745b28483", "c": "package com.tencent.supersonic.util;\n\nimport com.tencent.supersonic.common.pojo.ChatModelConfig;\n\npublic class LLMConfigUtils {\n    public enum LLMType {\n        GPT,\n        MOONSHOT,\n        DEEPSEEK,\n        QWEN,\n        GLM\n    }\n\n    public static ChatModelConfig getLLMConfig(LLMType type) {\n        String baseUrl;\n        String apiKey;\n        String modelName;\n        double temperature = 0.0;\n\n        switch (type) {\n            case GLM:\n                baseUrl = \"https://open.bigmodel.cn/api/pas/v4/\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"glm-4\";\n                break;\n            case MOONSHOT:\n                baseUrl = \"https://api.moonshot.cn/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"moonshot-v1-8k\";\n                break;\n            case DEEPSEEK:\n                baseUrl = \"https://api.deepseek.com\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"deepseek-coder\";\n                break;\n            case QWEN:\n                baseUrl = \"https://dashscope.aliyuncs.com/compatible-mode/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"qwen-turbo\";\n                temperature = 0.01;\n                break;\n            case GPT:\n            default:\n                baseUrl = \"https://api.openai.com/v1\";\n                apiKey = \"REPLACE_WITH_YOUR_KEY\";\n                modelName = \"gpt-3.5-turbo\";\n                temperature = 0.0;\n        }\n        ChatModelConfig chatModel = new ChatModelConfig();\n        chatModel.setModelName(modelName);\n        chatModel.setBaseUrl(baseUrl);\n        chatModel.setApiKey(apiKey);\n        chatModel.setTemperature(temperature);\n        chatModel.setProvider(\"open_ai\");\n\n        return chatModel;\n    }\n}\n"}}}}