LLM Web API 中文文档 ChatGPT Web Page to API interface. Features Bypass Cloudflare challenge Login mode: no-login, email, google login High-speed streaming output Model switching, Dynamically display supported models Conversation support TTS support Compatible with the ChatGPT API. Usage Run with Docker docker run --name llm-web-api --rm -it -p 5000:5000 adryfish/llm-web-api Docker compose See detailed configuration below for environment variables. services: llm-web-api: image: adryfish/llm-web-api container_name: llm-web-api ports: - "5000:5000" volumes: # Browser data. Configure if you want to retain browser login information. - ./data:/app/data environment: # PROXY_SERVER: "" # Proxy server address # OPENAI_LOGIN_TYPE: "" # Login Type,nologin or email or google # OPENAI_LOGIN_EMAIL: "" # Login email # OPENAI_LOGIN_PASSWORD: "" # Login password restart: unless-stopped Environment All environment variables are optional. Variable Description Default PROXY_SERVER Proxy server address None DATA_DIR Data storage directory ./data OPENAI_LOGIN_TYPE ChatGPT login type: nologin, email, google nologin OPENAI_LOGIN_EMAIL Email account for email login None OPENAI_LOGIN_PASSWORD Password for email login None OPENAI_LOGIN_APP_PASSWORD App password for email verification None GOOGLE_LOGIN_EMAIL Google login email None GOOGLE_LOGIN_PASSWORD Google login password None GOOGLE_LOGIN_OTP_SECRET Google login 2FA secret None GOOGLE_LOGIN_RECOVERY_EMAIL Google login recovery email None How it works The system uses Playwright to control a fingerprint browser, simulating user operations to send requests to the OpenAI website and converting the responses into API interfaces. API Currently supports the OpenAI-compatible /v1/chat/completions API, which can be accessed using OpenAI or other compatible clients. Chat completion Chat completion API，compatible with OpenAI Chat Completions API。 POST /v1/chat/completions Request： { "model": "gpt-4o", "messages": [ { "role": "user", "content": "Hello" } ], // Optional: If using SSE stream, set to true, default is false "stream": false // Optional: If enabled, the response will include meta information(message_id and conversation id) // If both parent_message_id and conversation_id are provided, the request will continue within the existing conversation context. // If they are not set, the request will be treated as a new conversation. // "meta": { // "enable": true, // "parent_message_id": "5363437e-b364-4b72-b3d6-415deeed11ab", # Optional // "conversation_id": "6774f183-f70c-800b-9965-6c110d3a3485" # Optional // } } Response： { "id": "chatcmpl-fZc6l869OzRu8rp7X8Dhj0COfTsR6", "object": "chat.completion", "created": 1733726226, "model": "gpt-4o", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hi there! How can I assist you today? 😊" }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1, "completion_tokens": 11, "total_tokens": 12 }, "meta": { "message_id": "dffd63ef-63ac-4d40-b6de-e33ec40de9e2", "conversation_id": "6774f183-f70c-800b-9965-6c110d3a3485" } } Audio Create Speech Audio Speech API, compatible with OpenAI's Audio Speech API. It allows users to generate speech from text input. POST /v1/audio/speech Request: { "input": "Hello, how are you?", "voice": "cove" "model": "tts-1", // Optional: specify response format, default is "aac" "response_format": "mp3", } Response: If successful, the API returns an audio file in the requested format. Examples Using OpenAI Official Library Python import openai openai.api_key = 'anything' openai.base_url = "http://localhost:5000/v1/" completion = openai.chat.completions.create( model="gpt-4o-mini", messages=[ {"role": "user", "content": "Hello"}, ], ) print(completion.choices[0].message.content) Node.js import OpenAI from 'openai'; const openai = new OpenAI({ apiKey: "anything", baseURL: "http://localhost:5000/v1/", }); const chatCompletion = await openai.chat.completions.create({ messages: [{ role: 'user', content: 'Echo Hello' }], model: 'gpt-4o-mini', }); console.log(chatCompletion.choices[0].message.content); Similar Projects chat2api: https://github.com/lanqian528/chat2api Star History