hack/tools/scripts/llm-key-hunter/results/_cache/content/caokai1073_rivus.json

{"repo": "caokai1073/rivus", "files": {"config.py": {"c6978986e7c0bbc434b6d32e9dd5caad33d7bebd": {"t": 1785746632.2289705, "n": 5965, "h": "b96d7d18954efe4f", "c": "\"\"\"\nconfig.py — Application configuration persistence (API keys, etc.)\n\"\"\"\nAPP_VERSION = \"1.0.1\"\nUPDATE_CHECK_URL = \"https://api.github.com/repos/caokai1073/Rivus/releases/latest\"\n\nimport json\nimport os\nfrom pathlib import Path\n\n_data_dir = os.environ.get(\"MEMORYVAULT_DATA_DIR\")\nCONFIG_PATH = (\n    Path(_data_dir) / \"config.json\" if _data_dir\n    else Path(__file__).parent / \"config.json\"\n)\n\n# Cloud provider metadata\nCLOUD_PROVIDERS = {\n    \"openai\": {\n        \"name\": \"OpenAI / ChatGPT\",\n        \"base_url\": \"https://api.openai.com/v1\",\n        \"models\": [\n            {\"id\": \"gpt-5.5\",      \"label\": \"GPT-5.5 · Flagship\"},\n            {\"id\": \"gpt-5.4\",      \"label\": \"GPT-5.4\"},\n            {\"id\": \"gpt-5.4-mini\", \"label\": \"GPT-5.4 mini\"},\n            {\"id\": \"gpt-4.1\",      \"label\": \"GPT-4.1\"},\n            {\"id\": \"o3\",           \"label\": \"o3 · Reasoning\"},\n        ],\n    },\n    \"anthropic\": {\n        \"name\": \"Anthropic / Claude\",\n        \"base_url\": \"https://api.anthropic.com\",\n        \"models\": [\n            {\"id\": \"claude-fable-5\",           \"label\": \"Claude Fable 5 · Flagship\"},\n            {\"id\": \"claude-opus-4-8\",          \"label\": \"Claude Opus 4.8\"},\n            {\"id\": \"claude-sonnet-4-6\",        \"label\": \"Claude Sonnet 4.6\"},\n            {\"id\": \"claude-haiku-4-5-20251001\",\"label\": \"Claude Haiku 4.5\"},\n        ],\n    },\n    \"qwen\": {\n        \"name\": \"Qwen / 通义千问\",\n        \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n        \"models\": [\n            {\"id\": \"qwen3-235b-a22b\", \"label\": \"Qwen3 235B · Flagship\"},\n            {\"id\": \"qwen3-72b\",       \"label\": \"Qwen3 72B\"},\n            {\"id\": \"qwen-max\",        \"label\": \"Qwen Max\"},\n            {\"id\": \"qwen-plus\",       \"label\": \"Qwen Plus\"},\n            {\"id\": \"qwen-turbo\",      \"label\": \"Qwen Turbo\"},\n        ],\n    },\n    \"nvidia\": {\n        \"name\": \"NVIDIA NIM\",\n        \"base_url\": \"https://integrate.api.nvidia.com/v1\",\n        \"models\": [\n            {\"id\": \"nvidia/llama-3.1-nemotron-ultra-253b-v1\", \"label\": \"Nemotron Ultra 253B · Flagship\"},\n            {\"id\": \"meta/llama-3.3-70b-instruct\",             \"label\": \"Llama 3.3 70B\"},\n            {\"id\": \"mistralai/mistral-large-2-instruct\",      \"label\": \"Mistral Large 2\"},\n        ],\n    },\n    \"deepseek\": {\n        \"name\": \"DeepSeek\",\n        \"base_url\": \"https://api.deepseek.com/v1\",\n        \"models\": [\n            {\"id\": \"deepseek-v4-flash\", \"label\": \"DeepSeek V4 Flash\"},\n            {\"id\": \"deepseek-v4-pro\",   \"label\": \"DeepSeek V4 Pro\"},\n        ],\n    },\n    \"minimax\": {\n        \"name\": \"MiniMax\",\n        \"base_url\": \"https://api.minimax.chat/v1\",\n        \"models\": [\n            {\"id\": \"MiniMax-M1\",       \"label\": \"MiniMax M1 · Flagship\"},\n            {\"id\": \"MiniMax-Text-01\",  \"label\": \"MiniMax Text-01\"},\n        ],\n    },\n    \"glm\": {\n        \"name\": \"GLM\",\n        \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n        \"models\": [\n            {\"id\": \"glm-4-plus\",   \"label\": \"GLM-4-Plus\"},\n            {\"id\": \"glm-4-flash\",  \"label\": \"GLM-4-Flash · Free\"},\n            {\"id\": \"glm-z1-plus\",  \"label\": \"GLM-Z1-Plus · Reasoning\"},\n        ],\n    },\n}\n\n\ndef load_config() -> dict:\n    if CONFIG_PATH.exists():\n        try:\n            return json.loads(CONFIG_PATH.read_text(encoding=\"utf-8\"))\n        except Exception:\n            pass\n    return {}\n\n\ndef save_config(config: dict):\n    CONFIG_PATH.write_text(\n        json.dumps(config, ensure_ascii=False, indent=2),\n        encoding=\"utf-8\",\n    )\n\n\nOLLAMA_OPTIONS_DEFAULTS = {\n    \"num_ctx\":        8192,   # context window (token count)\n    \"temperature\":    0.8,    # randomness (higher = more creative)\n    \"top_p\":          0.9,    # nucleus sampling\n    \"repeat_penalty\": 1.1,    # repetition penalty\n    \"num_predict\":    -1,     # max output tokens (-1 = unlimited)\n}\n\n\ndef get_ollama_options() -> dict:\n    return {**OLLAMA_OPTIONS_DEFAULTS,\n            **load_config().get(\"ollama_options\", {})}\n\n\ndef set_ollama_options(options: dict):\n    config = load_config()\n    # Only save valid keys with basic type validation\n    validated = {}\n    for k, default in OLLAMA_OPTIONS_DEFAULTS.items():\n        if k in options:\n            try:\n                validated[k] = type(default)(options[k])\n            except (ValueError, TypeError):\n                validated[k] = default\n    config[\"ollama_options\"] = validated\n    save_config(config)\n\n\ndef get_cloud_keys() -> dict:\n    \"\"\"Returns {provider: {api_key, enabled}}\"\"\"\n    return load_config().get(\"cloud_keys\", {})\n\n\ndef set_cloud_keys(keys: dict):\n    config = load_config()\n    config[\"cloud_keys\"] = keys\n    save_config(config)\n\n\nREMOTE_SERVER_DEFAULTS = {\n    \"host\":        \"\",\n    \"user\":        \"\",\n    \"ssh_port\":    22,\n    \"auth_mode\":   \"key\",          # \"key\" | \"password\"\n    \"key_path\":    \"~/.ssh/id_rsa\",\n    \"remote_port\": 11434,\n    \"local_port\":  11435,\n}\n\n\ndef get_remote_config() -> dict:\n    return {**REMOTE_SERVER_DEFAULTS,\n            **load_config().get(\"remote_server\", {})}\n\n\ndef set_remote_config(cfg: dict):\n    config = load_config()\n    validated = {}\n    for k, default in REMOTE_SERVER_DEFAULTS.items():\n        if k in cfg:\n            try:\n                validated[k] = type(default)(cfg[k])\n            except (ValueError, TypeError):\n                validated[k] = default\n    config[\"remote_server\"] = validated\n    save_config(config)\n\n\ndef get_enabled_cloud_models() -> list[dict]:\n    \"\"\"Returns list of cloud models with configured API keys, same format as Ollama models\"\"\"\n    keys = get_cloud_keys()\n    models = []\n    for provider, meta in CLOUD_PROVIDERS.items():\n        entry = keys.get(provider, {})\n        if entry.get(\"api_key\") and entry.get(\"enabled\", True):\n            for m in meta[\"models\"]:\n                models.append({\n                    \"id\": f\"cloud:{provider}:{m['id']}\",\n                    \"label\": f\"☁️ {m['label']}\",\n                    \"provider\": provider,\n                })\n    return models\n"}, "a5dc9bc9b764c87348c58368f918e234663b8e6d": {"t": 1785766413.9012713, "n": 5965, "h": "b96d7d18954efe4f", "c": "\"\"\"\nconfig.py — Application configuration persistence (API keys, etc.)\n\"\"\"\nAPP_VERSION = \"1.0.1\"\nUPDATE_CHECK_URL = \"https://api.github.com/repos/caokai1073/Rivus/releases/latest\"\n\nimport json\nimport os\nfrom pathlib import Path\n\n_data_dir = os.environ.get(\"MEMORYVAULT_DATA_DIR\")\nCONFIG_PATH = (\n    Path(_data_dir) / \"config.json\" if _data_dir\n    else Path(__file__).parent / \"config.json\"\n)\n\n# Cloud provider metadata\nCLOUD_PROVIDERS = {\n    \"openai\": {\n        \"name\": \"OpenAI / ChatGPT\",\n        \"base_url\": \"https://api.openai.com/v1\",\n        \"models\": [\n            {\"id\": \"gpt-5.5\",      \"label\": \"GPT-5.5 · Flagship\"},\n            {\"id\": \"gpt-5.4\",      \"label\": \"GPT-5.4\"},\n            {\"id\": \"gpt-5.4-mini\", \"label\": \"GPT-5.4 mini\"},\n            {\"id\": \"gpt-4.1\",      \"label\": \"GPT-4.1\"},\n            {\"id\": \"o3\",           \"label\": \"o3 · Reasoning\"},\n        ],\n    },\n    \"anthropic\": {\n        \"name\": \"Anthropic / Claude\",\n        \"base_url\": \"https://api.anthropic.com\",\n        \"models\": [\n            {\"id\": \"claude-fable-5\",           \"label\": \"Claude Fable 5 · Flagship\"},\n            {\"id\": \"claude-opus-4-8\",          \"label\": \"Claude Opus 4.8\"},\n            {\"id\": \"claude-sonnet-4-6\",        \"label\": \"Claude Sonnet 4.6\"},\n            {\"id\": \"claude-haiku-4-5-20251001\",\"label\": \"Claude Haiku 4.5\"},\n        ],\n    },\n    \"qwen\": {\n        \"name\": \"Qwen / 通义千问\",\n        \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n        \"models\": [\n            {\"id\": \"qwen3-235b-a22b\", \"label\": \"Qwen3 235B · Flagship\"},\n            {\"id\": \"qwen3-72b\",       \"label\": \"Qwen3 72B\"},\n            {\"id\": \"qwen-max\",        \"label\": \"Qwen Max\"},\n            {\"id\": \"qwen-plus\",       \"label\": \"Qwen Plus\"},\n            {\"id\": \"qwen-turbo\",      \"label\": \"Qwen Turbo\"},\n        ],\n    },\n    \"nvidia\": {\n        \"name\": \"NVIDIA NIM\",\n        \"base_url\": \"https://integrate.api.nvidia.com/v1\",\n        \"models\": [\n            {\"id\": \"nvidia/llama-3.1-nemotron-ultra-253b-v1\", \"label\": \"Nemotron Ultra 253B · Flagship\"},\n            {\"id\": \"meta/llama-3.3-70b-instruct\",             \"label\": \"Llama 3.3 70B\"},\n            {\"id\": \"mistralai/mistral-large-2-instruct\",      \"label\": \"Mistral Large 2\"},\n        ],\n    },\n    \"deepseek\": {\n        \"name\": \"DeepSeek\",\n        \"base_url\": \"https://api.deepseek.com/v1\",\n        \"models\": [\n            {\"id\": \"deepseek-v4-flash\", \"label\": \"DeepSeek V4 Flash\"},\n            {\"id\": \"deepseek-v4-pro\",   \"label\": \"DeepSeek V4 Pro\"},\n        ],\n    },\n    \"minimax\": {\n        \"name\": \"MiniMax\",\n        \"base_url\": \"https://api.minimax.chat/v1\",\n        \"models\": [\n            {\"id\": \"MiniMax-M1\",       \"label\": \"MiniMax M1 · Flagship\"},\n            {\"id\": \"MiniMax-Text-01\",  \"label\": \"MiniMax Text-01\"},\n        ],\n    },\n    \"glm\": {\n        \"name\": \"GLM\",\n        \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n        \"models\": [\n            {\"id\": \"glm-4-plus\",   \"label\": \"GLM-4-Plus\"},\n            {\"id\": \"glm-4-flash\",  \"label\": \"GLM-4-Flash · Free\"},\n            {\"id\": \"glm-z1-plus\",  \"label\": \"GLM-Z1-Plus · Reasoning\"},\n        ],\n    },\n}\n\n\ndef load_config() -> dict:\n    if CONFIG_PATH.exists():\n        try:\n            return json.loads(CONFIG_PATH.read_text(encoding=\"utf-8\"))\n        except Exception:\n            pass\n    return {}\n\n\ndef save_config(config: dict):\n    CONFIG_PATH.write_text(\n        json.dumps(config, ensure_ascii=False, indent=2),\n        encoding=\"utf-8\",\n    )\n\n\nOLLAMA_OPTIONS_DEFAULTS = {\n    \"num_ctx\":        8192,   # context window (token count)\n    \"temperature\":    0.8,    # randomness (higher = more creative)\n    \"top_p\":          0.9,    # nucleus sampling\n    \"repeat_penalty\": 1.1,    # repetition penalty\n    \"num_predict\":    -1,     # max output tokens (-1 = unlimited)\n}\n\n\ndef get_ollama_options() -> dict:\n    return {**OLLAMA_OPTIONS_DEFAULTS,\n            **load_config().get(\"ollama_options\", {})}\n\n\ndef set_ollama_options(options: dict):\n    config = load_config()\n    # Only save valid keys with basic type validation\n    validated = {}\n    for k, default in OLLAMA_OPTIONS_DEFAULTS.items():\n        if k in options:\n            try:\n                validated[k] = type(default)(options[k])\n            except (ValueError, TypeError):\n                validated[k] = default\n    config[\"ollama_options\"] = validated\n    save_config(config)\n\n\ndef get_cloud_keys() -> dict:\n    \"\"\"Returns {provider: {api_key, enabled}}\"\"\"\n    return load_config().get(\"cloud_keys\", {})\n\n\ndef set_cloud_keys(keys: dict):\n    config = load_config()\n    config[\"cloud_keys\"] = keys\n    save_config(config)\n\n\nREMOTE_SERVER_DEFAULTS = {\n    \"host\":        \"\",\n    \"user\":        \"\",\n    \"ssh_port\":    22,\n    \"auth_mode\":   \"key\",          # \"key\" | \"password\"\n    \"key_path\":    \"~/.ssh/id_rsa\",\n    \"remote_port\": 11434,\n    \"local_port\":  11435,\n}\n\n\ndef get_remote_config() -> dict:\n    return {**REMOTE_SERVER_DEFAULTS,\n            **load_config().get(\"remote_server\", {})}\n\n\ndef set_remote_config(cfg: dict):\n    config = load_config()\n    validated = {}\n    for k, default in REMOTE_SERVER_DEFAULTS.items():\n        if k in cfg:\n            try:\n                validated[k] = type(default)(cfg[k])\n            except (ValueError, TypeError):\n                validated[k] = default\n    config[\"remote_server\"] = validated\n    save_config(config)\n\n\ndef get_enabled_cloud_models() -> list[dict]:\n    \"\"\"Returns list of cloud models with configured API keys, same format as Ollama models\"\"\"\n    keys = get_cloud_keys()\n    models = []\n    for provider, meta in CLOUD_PROVIDERS.items():\n        entry = keys.get(provider, {})\n        if entry.get(\"api_key\") and entry.get(\"enabled\", True):\n            for m in meta[\"models\"]:\n                models.append({\n                    \"id\": f\"cloud:{provider}:{m['id']}\",\n                    \"label\": f\"☁️ {m['label']}\",\n                    \"provider\": provider,\n                })\n    return models\n"}, "05e33f03f624b1d6fa6af95685996771002ad29f": {"t": 1785766415.3497667, "n": 4168, "h": "1511abbaa1d55414", "c": "\"\"\"\nconfig.py — 应用配置持久化（API 密钥等）\n\"\"\"\nAPP_VERSION = \"1.0.0\"\n# 填入 GitHub releases API URL 后即可启用自动更新检测\n# 例: \"https://api.github.com/repos/yourname/rivus/releases/latest\"\nUPDATE_CHECK_URL = \"\"\n\nimport json\nimport os\nfrom pathlib import Path\n\n_data_dir = os.environ.get(\"MEMORYVAULT_DATA_DIR\")\nCONFIG_PATH = (\n    Path(_data_dir) / \"config.json\" if _data_dir\n    else Path(__file__).parent / \"config.json\"\n)\n\n# 云端提供商元数据\nCLOUD_PROVIDERS = {\n    \"deepseek\": {\n        \"name\": \"DeepSeek\",\n        \"base_url\": \"https://api.deepseek.com/v1\",\n        \"models\": [\n            {\"id\": \"deepseek-v4-flash\", \"label\": \"DeepSeek V4 Flash\"},\n            {\"id\": \"deepseek-v4-pro\",   \"label\": \"DeepSeek V4 Pro\"},\n        ],\n    },\n    \"openai\": {\n        \"name\": \"OpenAI / ChatGPT\",\n        \"base_url\": \"https://api.openai.com/v1\",\n        \"models\": [\n            {\"id\": \"gpt-5.5\",      \"label\": \"GPT-5.5 · Flagship\"},\n            {\"id\": \"gpt-5.4\",      \"label\": \"GPT-5.4\"},\n            {\"id\": \"gpt-5.4-mini\", \"label\": \"GPT-5.4 mini\"},\n            {\"id\": \"gpt-4.1\",      \"label\": \"GPT-4.1\"},\n            {\"id\": \"o3\",           \"label\": \"o3 · Reasoning\"},\n        ],\n    },\n    \"anthropic\": {\n        \"name\": \"Anthropic / Claude\",\n        \"base_url\": \"https://api.anthropic.com\",\n        \"models\": [\n            {\"id\": \"claude-fable-5\",           \"label\": \"Claude Fable 5 · Flagship\"},\n            {\"id\": \"claude-opus-4-8\",          \"label\": \"Claude Opus 4.8\"},\n            {\"id\": \"claude-sonnet-4-6\",        \"label\": \"Claude Sonnet 4.6\"},\n            {\"id\": \"claude-haiku-4-5-20251001\",\"label\": \"Claude Haiku 4.5\"},\n        ],\n    },\n    \"minimax\": {\n        \"name\": \"MiniMax\",\n        \"base_url\": \"https://api.minimax.chat/v1\",\n        \"models\": [\n            {\"id\": \"MiniMax-M1\",       \"label\": \"MiniMax M1 · Flagship\"},\n            {\"id\": \"MiniMax-Text-01\",  \"label\": \"MiniMax Text-01\"},\n        ],\n    },\n    \"glm\": {\n        \"name\": \"智谱 GLM\",\n        \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n        \"models\": [\n            {\"id\": \"glm-4-plus\",   \"label\": \"GLM-4-Plus\"},\n            {\"id\": \"glm-4-flash\",  \"label\": \"GLM-4-Flash · Free\"},\n            {\"id\": \"glm-z1-plus\",  \"label\": \"GLM-Z1-Plus · Reasoning\"},\n        ],\n    },\n}\n\n\ndef load_config() -> dict:\n    if CONFIG_PATH.exists():\n        try:\n            return json.loads(CONFIG_PATH.read_text(encoding=\"utf-8\"))\n        except Exception:\n            pass\n    return {}\n\n\ndef save_config(config: dict):\n    CONFIG_PATH.write_text(\n        json.dumps(config, ensure_ascii=False, indent=2),\n        encoding=\"utf-8\",\n    )\n\n\nOLLAMA_OPTIONS_DEFAULTS = {\n    \"num_ctx\":        4096,   # 上下文窗口（token 数）\n    \"temperature\":    0.8,    # 随机性（越高越有创意）\n    \"top_p\":          0.9,    # nucleus sampling\n    \"repeat_penalty\": 1.1,    # 重复惩罚\n    \"num_predict\":    -1,     # 最大输出 token（-1 = 不限）\n}\n\n\ndef get_ollama_options() -> dict:\n    return {**OLLAMA_OPTIONS_DEFAULTS,\n            **load_config().get(\"ollama_options\", {})}\n\n\ndef set_ollama_options(options: dict):\n    config = load_config()\n    # 只保存有效键，值做基本类型校验\n    validated = {}\n    for k, default in OLLAMA_OPTIONS_DEFAULTS.items():\n        if k in options:\n            try:\n                validated[k] = type(default)(options[k])\n            except (ValueError, TypeError):\n                validated[k] = default\n    config[\"ollama_options\"] = validated\n    save_config(config)\n\n\ndef get_cloud_keys() -> dict:\n    \"\"\"返回 {provider: {api_key, enabled}} \"\"\"\n    return load_config().get(\"cloud_keys\", {})\n\n\ndef set_cloud_keys(keys: dict):\n    config = load_config()\n    config[\"cloud_keys\"] = keys\n    save_config(config)\n\n\ndef get_enabled_cloud_models() -> list[dict]:\n    \"\"\"返回已配置 API Key 的云端模型列表，格式同 Ollama models\"\"\"\n    keys = get_cloud_keys()\n    models = []\n    for provider, meta in CLOUD_PROVIDERS.items():\n        entry = keys.get(provider, {})\n        if entry.get(\"api_key\") and entry.get(\"enabled\", True):\n            for m in meta[\"models\"]:\n                models.append({\n                    \"id\": f\"cloud:{provider}:{m['id']}\",\n                    \"label\": f\"☁️ {m['label']}\",\n                    \"provider\": provider,\n                })\n    return models\n"}}}}