Spaces:
Paused
Paused
Invalid JSON:
Expected double-quoted property name in JSON
at line 12, column 29
| { | |
| "feConfigs": { | |
| "lafEnv": "https://laf.dev" | |
| }, | |
| "systemEnv": { | |
| "vectorMaxProcess": 15, | |
| "qaMaxProcess": 15, | |
| "pgHNSWEfSearch": 100 | |
| }, | |
| "llmModels": [ | |
| { | |
| "provider": "OpenAI", // 模型提供商，主要用于分类展示，目前已经内置提供商包括：https://github.com/labring/FastGPT/blob/main/packages/global/core/ai/provider.ts, 可 pr 提供新的提供商，或直接填写 Other | |
| "model": "gpt-4o-mini", // 模型名(对应OneAPI中渠道的模型名) | |
| "name": "gpt-4o-mini", // 模型别名 | |
| "maxContext": 125000, // 最大上下文 | |
| "maxResponse": 16000, // 最大回复 | |
| "quoteMaxToken": 120000, // 最大引用内容 | |
| "maxTemperature": 1.2, // 最大温度 | |
| "charsPointsPrice": 0, // n积分/1k token（商业版） | |
| "censor": false, // 是否开启敏感校验（商业版） | |
| "vision": true, // 是否支持图片输入 | |
| "datasetProcess": true, // 是否设置为文本理解模型（QA），务必保证至少有一个为true，否则知识库会报错 | |
| "usedInClassify": true, // 是否用于问题分类（务必保证至少有一个为true） | |
| "usedInExtractFields": true, // 是否用于内容提取（务必保证至少有一个为true） | |
| "usedInToolCall": true, // 是否用于工具调用（务必保证至少有一个为true） | |
| "usedInQueryExtension": true, // 是否用于问题优化（务必保证至少有一个为true） | |
| "toolChoice": true, // 是否支持工具选择（分类，内容提取，工具调用会用到。） | |
| "functionCall": false, // 是否支持函数调用（分类，内容提取，工具调用会用到。会优先使用 toolChoice，如果为false，则使用 functionCall，如果仍为 false，则使用提示词模式） | |
| "customCQPrompt": "", // 自定义文本分类提示词（不支持工具和函数调用的模型 | |
| "customExtractPrompt": "", // 自定义内容提取提示词 | |
| "defaultSystemChatPrompt": "", // 对话默认携带的系统提示词 | |
| "defaultConfig": {}, // 请求API时，挟带一些默认配置（比如 GLM4 的 top_p） | |
| "fieldMap": {} // 字段映射（o1 模型需要把 max_tokens 映射为 max_completion_tokens） | |
| }, | |
| { | |
| "provider": "OpenAI", | |
| "model": "gpt-4o", | |
| "name": "gpt-4o", | |
| "maxContext": 125000, | |
| "maxResponse": 4000, | |
| "quoteMaxToken": 120000, | |
| "maxTemperature": 1.2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": false, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {}, | |
| "fieldMap": {} | |
| }, | |
| { | |
| "provider": "OpenAI", | |
| "model": "gpt-4-turbo", | |
| "name": "gpt-4-turbo", | |
| "avatar": "/imgs/model/openai.svg", | |
| "maxContext": 125000, | |
| "maxResponse": 4000, | |
| "quoteMaxToken": 120000, | |
| "maxTemperature": 1.2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": false, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": false, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Gemini", | |
| "model": "gemini-1.5-pro-latest", | |
| "name": "gemini-1.5-pro-latest", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 2105344, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Gemini", | |
| "model": "gemini-1.5-pro-exp-0801", | |
| "name": "gemini-1.5-pro-exp-0801", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 2105344, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Gemini", | |
| "model": "gemini-1.5-flash-latest", | |
| "name": "gemini-1.5-flash-latest", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 2105344, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Other", | |
| "model": "deepseek-ai/DeepSeek-V2.5", | |
| "name": "deepseek-ai/DeepSeek-V2.5", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 409600, | |
| "maxResponse": 4000, | |
| "quoteMaxToken": 2100000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Other", // 模型提供商，主要用于分类展示，目前已经内置提供商包括：https://github.com/labring/FastGPT/blob/main/packages/global/core/ai/provider.ts, 可 pr 提供新的提供商，或直接填写 Other | |
| "model": "Qwen/Qwen2.5-72B-Instruct", // 模型名(对应OneAPI中渠道的模型名) | |
| "name": "Qwen2.5-72B-Instruct", // 模型别名 | |
| "maxContext": 32000, // 最大上下文 | |
| "maxResponse": 4000, // 最大回复 | |
| "quoteMaxToken": 30000, // 最大引用内容 | |
| "maxTemperature": 1, // 最大温度 | |
| "charsPointsPrice": 0, // n积分/1k token（商业版） | |
| "censor": false, // 是否开启敏感校验（商业版） | |
| "vision": false, // 是否支持图片输入 | |
| "datasetProcess": true, // 是否设置为文本理解模型（QA），务必保证至少有一个为true，否则知识库会报错 | |
| "usedInClassify": true, // 是否用于问题分类（务必保证至少有一个为true） | |
| "usedInExtractFields": true, // 是否用于内容提取（务必保证至少有一个为true） | |
| "usedInToolCall": true, // 是否用于工具调用（务必保证至少有一个为true） | |
| "usedInQueryExtension": true, // 是否用于问题优化（务必保证至少有一个为true） | |
| "toolChoice": true, // 是否支持工具选择（分类，内容提取，工具调用会用到。） | |
| "functionCall": false, // 是否支持函数调用（分类，内容提取，工具调用会用到。会优先使用 toolChoice，如果为false，则使用 functionCall，如果仍为 false，则使用提示词模式） | |
| "customCQPrompt": "", // 自定义文本分类提示词（不支持工具和函数调用的模型 | |
| "customExtractPrompt": "", // 自定义内容提取提示词 | |
| "defaultSystemChatPrompt": "", // 对话默认携带的系统提示词 | |
| "defaultConfig": {}, // 请求API时，挟带一些默认配置（比如 GLM4 的 top_p） | |
| "fieldMap": {} // 字段映射（o1 模型需要把 max_tokens 映射为 max_completion_tokens） | |
| }, | |
| { | |
| "provider": "Other", | |
| "model": "Qwen/Qwen2-VL-72B-Instruct", | |
| "name": "Qwen2-VL-72B-Instruct", | |
| "maxContext": 32000, | |
| "maxResponse": 4000, | |
| "quoteMaxToken": 30000, | |
| "maxTemperature": 1, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": false, | |
| "usedInClassify": false, | |
| "usedInExtractFields": false, | |
| "usedInToolCall": false, | |
| "usedInQueryExtension": false, | |
| "toolChoice": false, | |
| "functionCall": false, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Other", | |
| "model": "01-ai/Yi-1.5-34B-Chat-16K", | |
| "name": "01-ai/Yi-1.5-34B-Chat-16K", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 4096, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Other", | |
| "model": "THUDM/glm-4-9b-chat", | |
| "name": "THUDM/glm-4-9b-chat", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 4096, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Claude", | |
| "model": "claude-3-5-sonnet-20240620", | |
| "name": "claude-3-5-sonnet-20240620", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 2105344, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| }, | |
| { | |
| "provider": "Other", | |
| "model": "grok-beta", | |
| "name": "grok-beta", | |
| "avatar": "/imgs/model/google.svg", | |
| "maxContext": 2105344, | |
| "maxResponse": 270000, | |
| "quoteMaxToken": 1800000, | |
| "maxTemperature": 2, | |
| "charsPointsPrice": 0, | |
| "censor": false, | |
| "vision": true, | |
| "datasetProcess": true, | |
| "usedInClassify": true, | |
| "usedInExtractFields": true, | |
| "usedInToolCall": true, | |
| "usedInQueryExtension": true, | |
| "toolChoice": true, | |
| "functionCall": true, | |
| "customCQPrompt": "", | |
| "customExtractPrompt": "", | |
| "defaultSystemChatPrompt": "", | |
| "defaultConfig": {} | |
| } | |
| ], | |
| "vectorModels": [ | |
| { | |
| "provider": "Other", | |
| "model": "BAAI/bge-m3", | |
| "name": "BAAI/bge-m3", | |
| "charsPointsPrice": 0, | |
| "defaultToken": 512, | |
| "maxToken": 5000, | |
| "weight": 100 | |
| }, | |
| { | |
| "provider": "OpenAI", | |
| "model": "text-embedding-3-large", | |
| "name": "text-embedding-3-large", | |
| "charsPointsPrice": 0, | |
| "defaultToken": 512, | |
| "maxToken": 3000, | |
| "weight": 100, | |
| "defaultConfig": { | |
| "dimensions": 1024 | |
| } | |
| }, | |
| { | |
| "provider": "OpenAI", | |
| "model": "text-embedding-ada-002", // 模型名（与OneAPI对应） | |
| "name": "text-embedding-ada-002", // 模型展示名 | |
| "charsPointsPrice": 0, // n积分/1k token | |
| "defaultToken": 700, // 默认文本分割时候的 token | |
| "maxToken": 3000, // 最大 token | |
| "weight": 100, // 优先训练权重 | |
| "defaultConfig": {}, // 自定义额外参数。例如，如果希望使用 embedding3-large 的话，可以传入 dimensions:1024，来返回1024维度的向量。（目前必须小于1536维度） | |
| "dbConfig": {}, // 存储时的额外参数（非对称向量模型时候需要用到） | |
| "queryConfig": {} // 参训时的额外参数 | |
| } | |
| ], | |
| "reRankModels": [ | |
| { | |
| "model": "BAAI/bge-reranker-v2-m3", // 这里的model需要对应 siliconflow 的模型名 | |
| "name": "BAAI/bge-reranker-v2-m3", | |
| "requestUrl": "https://api.siliconflow.cn/v1/rerank", | |
| "requestAuth": "sk-xogywwnoxivnwhhbouzbtqrixaioqpfhiouuundsmmlztjaq" | |
| } | |
| ], | |
| "audioSpeechModels": [ | |
| { | |
| "model": "tts-1", | |
| "name": "OpenAI TTS1", | |
| "charsPointsPrice": 0, | |
| "voices": [ | |
| { | |
| "label": "Alloy", | |
| "value": "alloy", | |
| "bufferId": "openai-Alloy" | |
| }, | |
| { | |
| "label": "Echo", | |
| "value": "echo", | |
| "bufferId": "openai-Echo" | |
| }, | |
| { | |
| "label": "Fable", | |
| "value": "fable", | |
| "bufferId": "openai-Fable" | |
| }, | |
| { | |
| "label": "Onyx", | |
| "value": "onyx", | |
| "bufferId": "openai-Onyx" | |
| }, | |
| { | |
| "label": "Nova", | |
| "value": "nova", | |
| "bufferId": "openai-Nova" | |
| }, | |
| { | |
| "label": "Shimmer", | |
| "value": "shimmer", | |
| "bufferId": "openai-Shimmer" | |
| } | |
| ] | |
| } | |
| ], | |
| "whisperModel": { | |
| "model": "whisper-1", | |
| "name": "Whisper1", | |
| "charsPointsPrice": 0 | |
| } | |
| } |