{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-unofficial-api-in-python","slug":"unofficial-api-in-python","name":"Unofficial API in Python","type":"repo","url":"https://github.com/acheong08/ChatGPT","page_url":"https://unfragile.ai/unofficial-api-in-python","categories":["llm-apis"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-unofficial-api-in-python__cap_0","uri":"capability://text.generation.language.reverse.engineered.chatgpt.web.interface.access.via.tls.interception","name":"reverse-engineered chatgpt web interface access via tls interception","description":"Implements direct HTTP client access to ChatGPT's web interface by circumventing Cloudflare protection through TLS-based request spoofing and session management. The V1 API constructs authenticated requests that mimic browser behavior, handling cookie persistence, CSRF tokens, and Cloudflare challenge responses to maintain stateful conversations without relying on OpenAI's official API endpoints. This approach enables free access to ChatGPT models by reusing existing web session credentials.","intents":["Access ChatGPT without paying for API credits","Integrate ChatGPT into applications using existing free accounts","Bypass API rate limits by using web interface directly","Access ChatGPT features not available in the official API (plugins, web browsing)"],"best_for":["Developers building proof-of-concepts or MVPs without budget for API costs","Teams in regions with limited OpenAI API access","Hobbyists and open-source projects requiring free LLM access"],"limitations":["Violates OpenAI's Terms of Service — accounts can be banned without warning","Fragile to ChatGPT UI changes — requires constant maintenance as OpenAI updates endpoints","Cloudflare protection circumvention may fail intermittently, requiring manual captcha solving","No official support or SLA — breaking changes can occur at any time","Slower than official API due to browser-like overhead and potential rate limiting"],"requires":["Python 3.7+","Valid ChatGPT account with email/password or access token","Network access to OpenAI's ChatGPT web domain","Optional: Captcha solver service (e.g., 2captcha) for automated captcha handling"],"input_types":["text (user messages)","conversation_id (string UUID for multi-turn conversations)","parent_id (string UUID for conversation threading)"],"output_types":["text (streamed or buffered model responses)","conversation metadata (conversation_id, message_id, timestamps)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_1","uri":"capability://text.generation.language.official.openai.api.wrapper.with.conversation.state.management","name":"official openai api wrapper with conversation state management","description":"Provides a structured Python wrapper around OpenAI's official ChatGPT API (gpt-3.5-turbo, gpt-4) with built-in conversation history management, automatic context truncation, and streaming response handling. The V3 API maintains conversation state in memory or via external storage, automatically manages token limits by truncating older messages, and abstracts away raw API request/response formatting. This enables developers to build multi-turn conversational applications without manually managing conversation context or token counting.","intents":["Build production-grade chatbot applications with conversation memory","Manage token budgets automatically by truncating old messages","Stream responses for real-time user feedback in web/mobile apps","Switch between GPT-3.5-turbo and GPT-4 models without code changes"],"best_for":["Production applications requiring reliability and official support","Teams with OpenAI API budget and compliance requirements","Developers building customer-facing chatbots with SLA guarantees"],"limitations":["Requires paid OpenAI API subscription — no free tier for production use","Conversation state stored in-memory by default — no built-in persistence to database","Automatic context truncation may lose important conversation history for long sessions","No plugin support — limited to base model capabilities","API rate limits apply — requires backoff/retry logic for high-volume applications"],"requires":["Python 3.7+","OpenAI API key (from https://platform.openai.com/account/api-keys)","Active OpenAI account with billing enabled","Network access to api.openai.com"],"input_types":["text (user messages)","conversation_id (string identifier for multi-turn sessions)","model (string: 'gpt-3.5-turbo', 'gpt-4', etc.)","temperature (float: 0.0-2.0 for response randomness)"],"output_types":["text (streamed or buffered model responses)","usage metadata (prompt_tokens, completion_tokens, total_tokens)","conversation state (message history, token counts)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_10","uri":"capability://memory.knowledge.conversation.threading.and.message.id.tracking","name":"conversation threading and message id tracking","description":"Implements conversation threading using message IDs and parent IDs to track conversation structure and enable branching conversations. Each message has a unique ID and references a parent message ID, allowing the system to reconstruct conversation trees and support multiple conversation branches from a single parent. This enables features like conversation forking, editing previous messages, and exploring alternative conversation paths. The system tracks conversation IDs for grouping related messages.","intents":["Support conversation branching where users explore alternative responses","Edit or regenerate previous messages in a conversation","Track conversation structure for logging and analysis","Implement conversation undo/redo functionality"],"best_for":["Advanced chat applications with conversation branching","Applications requiring conversation editing/regeneration","Teams building conversation analysis tools"],"limitations":["Message ID generation and tracking adds complexity","No built-in UI for visualizing conversation trees","Branching conversations can consume significant storage","Parent ID references may become invalid if messages are deleted","Threading logic not exposed in V3 API — V1 only"],"requires":["Python 3.7+","V1 API (reverse-engineered ChatGPT access)"],"input_types":["message_id (UUID string)","parent_id (UUID string of parent message)","conversation_id (UUID string grouping related messages)"],"output_types":["conversation_tree (nested structure of messages)","message_chain (linear sequence of messages in a branch)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_11","uri":"capability://automation.workflow.proxy.and.network.configuration.for.restricted.environments","name":"proxy and network configuration for restricted environments","description":"Supports configurable HTTP/HTTPS proxies and custom network settings for accessing ChatGPT in restricted network environments (corporate firewalls, VPNs, etc.). The system accepts proxy URLs in configuration, passes them to the underlying HTTP client (requests for sync, aiohttp for async), and handles proxy authentication. This enables the library to work in environments where direct internet access is blocked or monitored. Both V1 and V3 APIs support proxy configuration.","intents":["Use ChatGPT in corporate networks with proxy requirements","Route traffic through VPN or privacy-focused proxies","Bypass geographic restrictions on ChatGPT access","Monitor and log ChatGPT API traffic through corporate proxies"],"best_for":["Enterprise deployments in restricted networks","Teams in regions with geographic restrictions","Organizations requiring traffic monitoring/logging"],"limitations":["Proxy configuration must be manually specified — no auto-detection","Proxy authentication (username/password) stored in plaintext in config","Some proxies may block or throttle API traffic","Proxy latency adds overhead to all requests","HTTPS proxies (CONNECT tunneling) may not work with all configurations"],"requires":["Python 3.7+","Proxy URL (http://proxy.example.com:8080 or https://...)","Optional: Proxy credentials (username:password)"],"input_types":["proxy_url (string with proxy address and port)","proxy_auth (tuple of username, password)","proxy_type (enum: 'http', 'https', 'socks5')"],"output_types":["configured_http_client (with proxy settings applied)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_2","uri":"capability://automation.workflow.dual.mode.authentication.with.email.password.and.access.token.support","name":"dual-mode authentication with email/password and access token support","description":"Implements flexible authentication for the V1 reverse-engineered API supporting both email/password login and direct access token injection. The system handles OpenAI's authentication flow including optional captcha solving via external services (2captcha, hcaptcha), session token refresh, and credential validation. For V3, it accepts OpenAI API keys directly. This abstraction allows developers to choose authentication method based on their security posture and automation requirements.","intents":["Authenticate with ChatGPT using existing email/password credentials","Use pre-obtained access tokens to skip login flow","Automate captcha solving for headless environments","Manage API key credentials securely in production"],"best_for":["Developers building automated ChatGPT integrations without manual login","Teams deploying in headless/serverless environments","Applications requiring flexible credential management"],"limitations":["Email/password authentication may trigger captcha challenges requiring external solver service","Access tokens expire periodically — requires refresh token management","Captcha solving adds latency (5-30 seconds) and cost per authentication","OpenAI may block accounts using automated authentication if detected","No support for OAuth2 or SSO — only direct credential authentication"],"requires":["Python 3.7+","For V1: Valid ChatGPT account (email/password or access token)","For V1 with captcha: 2captcha or hcaptcha API key and account balance","For V3: OpenAI API key"],"input_types":["email (string, for V1 email/password auth)","password (string, for V1 email/password auth)","access_token (string, for V1 token-based auth)","api_key (string, for V3 official API auth)","captcha_solver_config (dict with service and API key)"],"output_types":["authenticated_session (session object with valid tokens)","access_token (string, for token-based auth)","auth_status (boolean indicating successful authentication)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_3","uri":"capability://tool.use.integration.plugin.system.for.extending.chatgpt.capabilities","name":"plugin system for extending chatgpt capabilities","description":"Implements a plugin architecture (V1 only) that allows ChatGPT to invoke external tools and services during conversation. The system maintains a plugin registry loaded from configuration, detects when the model requests plugin execution, and routes requests to appropriate plugin handlers. Plugins can be web APIs, local functions, or external services — the framework handles serialization, error handling, and response injection back into the conversation context. This enables ChatGPT to perform actions beyond text generation (web search, calculations, database queries).","intents":["Enable ChatGPT to search the web and retrieve real-time information","Integrate ChatGPT with external APIs and services","Extend ChatGPT with custom business logic and tools","Build agentic workflows where ChatGPT orchestrates multiple services"],"best_for":["Developers building ChatGPT agents that need external tool access","Teams integrating ChatGPT with existing service ecosystems","Applications requiring real-time data (weather, stock prices, search results)"],"limitations":["Plugin support only available in V1 (reverse-engineered API), not official V3 API","Plugin registry must be manually configured — no auto-discovery mechanism","Model may not reliably invoke plugins — depends on training and prompt engineering","Error handling in plugins can break conversation flow if not carefully implemented","No built-in rate limiting or quota management for plugin calls"],"requires":["Python 3.7+","V1 API (reverse-engineered ChatGPT access)","Plugin configuration file (JSON) with plugin definitions","External services/APIs that plugins depend on"],"input_types":["plugin_config (JSON file with plugin definitions)","plugin_manifest (dict with name, description, parameters, endpoint)","model_request (plugin invocation detected in model output)"],"output_types":["plugin_response (JSON from external service)","injected_context (plugin result re-injected into conversation)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_4","uri":"capability://text.generation.language.streaming.response.handling.with.real.time.token.delivery","name":"streaming response handling with real-time token delivery","description":"Implements streaming response processing for both V1 and V3 APIs, delivering model output tokens in real-time as they are generated rather than waiting for complete response. The system parses server-sent events (SSE) or chunked HTTP responses, extracts individual tokens, and yields them to the caller. This enables responsive user interfaces with progressive text rendering, reduced perceived latency, and better user experience in web/mobile applications. Supports both synchronous iteration and asynchronous streaming.","intents":["Display ChatGPT responses progressively as they are generated","Reduce perceived latency in web/mobile chat interfaces","Build real-time streaming applications without buffering entire responses","Implement token-by-token processing for custom formatting or filtering"],"best_for":["Web and mobile applications requiring responsive chat UX","Real-time applications where latency is critical","Developers building custom response processing pipelines"],"limitations":["Streaming adds complexity to error handling — errors may occur mid-stream","Cannot calculate total token count until stream completes","Network interruptions can break stream — requires reconnection logic","Some proxies/firewalls may buffer streaming responses, defeating latency benefits","Streaming not available for all model variants or configurations"],"requires":["Python 3.7+","V1 or V3 API access","HTTP client supporting streaming/chunked responses","Async support (asyncio) for async streaming"],"input_types":["stream=True (boolean flag to enable streaming)","message (user input text)","conversation_context (prior messages)"],"output_types":["token_stream (iterator yielding individual tokens)","text_chunks (streamed text segments)","metadata (token counts, finish_reason)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_5","uri":"capability://automation.workflow.asynchronous.api.with.asyncio.support.for.concurrent.operations","name":"asynchronous api with asyncio support for concurrent operations","description":"Provides fully asynchronous Python interfaces (using asyncio) for both V1 and V3 APIs, enabling concurrent ChatGPT requests without blocking. The implementation uses async/await patterns, aiohttp for HTTP requests, and async generators for streaming responses. This allows developers to build high-concurrency applications that can handle multiple conversations simultaneously without thread overhead. Both APIs expose async variants of all core methods.","intents":["Build high-concurrency chat applications handling multiple users","Integrate ChatGPT into async web frameworks (FastAPI, aiohttp, Quart)","Perform concurrent API calls without thread management overhead","Stream responses asynchronously in real-time applications"],"best_for":["Web applications using async frameworks (FastAPI, Starlette, Quart)","High-concurrency services handling many simultaneous conversations","Developers familiar with Python asyncio patterns"],"limitations":["Requires Python 3.7+ with asyncio support","Async code is more complex than synchronous equivalents — steeper learning curve","Debugging async code is harder — stack traces are less readable","All dependencies must support async — blocking calls will freeze event loop","Session management across async contexts requires careful handling"],"requires":["Python 3.7+","asyncio (standard library)","aiohttp or equivalent async HTTP client","Event loop running (e.g., in web framework or explicit asyncio.run())"],"input_types":["message (user input text)","conversation_id (string UUID)","async_context (running event loop)"],"output_types":["coroutine (awaitable returning response)","async_generator (yielding tokens in real-time)","task (asyncio.Task for concurrent execution)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_6","uri":"capability://memory.knowledge.conversation.history.management.with.automatic.context.truncation","name":"conversation history management with automatic context truncation","description":"Implements conversation state tracking and automatic context management for multi-turn interactions. The system maintains message history (user and assistant messages), tracks token counts per message, and automatically truncates older messages when approaching token limits. This prevents exceeding model context windows while preserving recent conversation context. Supports both in-memory storage and external persistence hooks. The V3 API includes token counting logic to estimate message costs before sending to OpenAI.","intents":["Maintain conversation context across multiple user turns","Prevent token limit exceeded errors by auto-truncating old messages","Track conversation history for logging and audit purposes","Estimate API costs before sending requests"],"best_for":["Multi-turn chatbot applications with long conversations","Applications with strict token budgets or cost constraints","Teams requiring conversation logging and compliance tracking"],"limitations":["In-memory storage loses history on process restart — requires external persistence","Automatic truncation may lose important context from early conversation","Token counting is approximate — actual usage may differ from estimates","No built-in database integration — developers must implement persistence","Conversation state not shared across multiple processes/servers without external store"],"requires":["Python 3.7+","V1 or V3 API access","Optional: External database or cache (Redis, PostgreSQL) for persistence"],"input_types":["message (new user message to add to history)","conversation_id (identifier for conversation session)","max_tokens (budget limit for context window)","truncation_strategy (enum: 'oldest_first', 'summarize', etc.)"],"output_types":["conversation_history (list of message dicts with role, content, tokens)","truncated_history (history after applying truncation)","token_count (total tokens in current context)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_7","uri":"capability://automation.workflow.command.line.interface.for.interactive.chatgpt.conversations","name":"command-line interface for interactive chatgpt conversations","description":"Provides a full-featured CLI application (via __main__.py) for interactive ChatGPT conversations with configuration file support, command history, and model selection. Users can start conversations, switch models, manage conversation history, and configure authentication through command-line arguments or YAML config files. The CLI supports both V1 and V3 APIs, streaming output, and readline-based input with history. This enables non-programmers and developers to interact with ChatGPT without writing code.","intents":["Use ChatGPT interactively from the terminal without writing code","Quickly test ChatGPT responses for debugging or exploration","Automate ChatGPT interactions in shell scripts","Configure and manage multiple ChatGPT accounts/models"],"best_for":["Developers and power users comfortable with CLI tools","DevOps and automation engineers integrating ChatGPT into scripts","Teams prototyping ChatGPT applications before building full applications"],"limitations":["CLI interface less discoverable than GUI — requires documentation","Configuration via YAML files can be error-prone","No persistent conversation storage — history lost on exit unless saved","Limited formatting options for long responses","Streaming output may not work well in all terminal emulators"],"requires":["Python 3.7+","revChatGPT package installed","Terminal/shell environment","Configuration file (optional, YAML format)"],"input_types":["command-line arguments (--api-version, --model, --config)","YAML config file (authentication, model settings)","stdin (user messages during interactive session)"],"output_types":["stdout (ChatGPT responses, streamed or buffered)","conversation_history (saved to file if configured)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_8","uri":"capability://automation.workflow.configuration.management.via.yaml.files.and.environment.variables","name":"configuration management via yaml files and environment variables","description":"Implements flexible configuration system supporting YAML config files and environment variables for API credentials, model selection, proxy settings, and behavior tuning. The system loads configuration hierarchically (defaults → config file → environment variables), allowing developers to manage different configurations for dev/staging/production without code changes. Supports per-API-version configuration with validation and sensible defaults. This enables secure credential management and environment-specific behavior.","intents":["Manage API credentials securely without hardcoding in source code","Configure different models/settings for dev vs production environments","Set up proxy/firewall settings for restricted networks","Tune model parameters (temperature, max_tokens) per deployment"],"best_for":["Production deployments requiring secure credential management","Teams managing multiple environments (dev, staging, prod)","Applications deployed in containerized/cloud environments"],"limitations":["YAML config files must be manually created — no auto-generation","Environment variable names not standardized — easy to misconfigure","No config validation — invalid settings fail at runtime","Config file paths hardcoded or must be specified — not auto-discovered","No support for config encryption — credentials stored in plaintext"],"requires":["Python 3.7+","PyYAML library (for YAML parsing)","YAML config file (optional, if using file-based config)"],"input_types":["config_file (YAML file path)","environment_variables (KEY=VALUE pairs)","command-line arguments (override config)"],"output_types":["config_dict (parsed configuration object)","validated_settings (after validation)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unofficial-api-in-python__cap_9","uri":"capability://safety.moderation.error.handling.and.exception.typing.for.api.failures","name":"error handling and exception typing for api failures","description":"Defines custom exception types (in typings.py) for different failure modes (authentication errors, rate limits, network errors, API errors) and implements error handling throughout both V1 and V3 APIs. The system catches low-level HTTP errors, parses API error responses, and raises typed exceptions that developers can catch and handle specifically. This enables graceful error handling, retry logic, and user-friendly error messages. Supports both synchronous and asynchronous error propagation.","intents":["Distinguish between different error types (auth vs rate limit vs network)","Implement retry logic for transient failures","Provide user-friendly error messages","Log and monitor API failures for debugging"],"best_for":["Production applications requiring robust error handling","Teams implementing retry/backoff strategies","Applications with user-facing error messages"],"limitations":["Exception types not fully documented — requires code inspection","No built-in retry logic — developers must implement backoff","Error messages from API may be cryptic or unhelpful","Network errors may not be distinguishable from API errors","Async error handling requires try/except in async contexts"],"requires":["Python 3.7+","revChatGPT package"],"input_types":["HTTP response (from failed API call)","exception (from underlying HTTP client)"],"output_types":["typed_exception (custom exception class)","error_message (string describing failure)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["Python 3.7+","Valid ChatGPT account with email/password or access token","Network access to OpenAI's ChatGPT web domain","Optional: Captcha solver service (e.g., 2captcha) for automated captcha handling","OpenAI API key (from https://platform.openai.com/account/api-keys)","Active OpenAI account with billing enabled","Network access to api.openai.com","V1 API (reverse-engineered ChatGPT access)","Proxy URL (http://proxy.example.com:8080 or https://...)","Optional: Proxy credentials (username:password)"],"failure_modes":["Violates OpenAI's Terms of Service — accounts can be banned without warning","Fragile to ChatGPT UI changes — requires constant maintenance as OpenAI updates endpoints","Cloudflare protection circumvention may fail intermittently, requiring manual captcha solving","No official support or SLA — breaking changes can occur at any time","Slower than official API due to browser-like overhead and potential rate limiting","Requires paid OpenAI API subscription — no free tier for production use","Conversation state stored in-memory by default — no built-in persistence to database","Automatic context truncation may lose important conversation history for long sessions","No plugin support — limited to base model capabilities","API rate limits apply — requires backoff/retry logic for high-volume applications","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.050Z","last_scraped_at":"2026-05-03T14:00:05.262Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=unofficial-api-in-python","compare_url":"https://unfragile.ai/compare?artifact=unofficial-api-in-python"}},"signature":"O6YKPawYPJRmYBgDfRqENyp39kVAYeXITdxM0B3H9FXe6XfKGMLoGJY8BLBXIzRaTDcngn5MY7g3E1lC43svAw==","signedAt":"2026-06-21T11:16:54.596Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/unofficial-api-in-python","artifact":"https://unfragile.ai/unofficial-api-in-python","verify":"https://unfragile.ai/api/v1/verify?slug=unofficial-api-in-python","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}