{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-serverless-telegram-bot","slug":"serverless-telegram-bot","name":"Serverless Telegram bot","type":"repo","url":"https://github.com/franalgaba/chatgpt-telegram-bot-serverless","page_url":"https://unfragile.ai/serverless-telegram-bot","categories":["automation"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-serverless-telegram-bot__cap_0","uri":"capability://tool.use.integration.webhook.based.telegram.message.ingestion","name":"webhook-based telegram message ingestion","description":"Receives incoming Telegram messages via HTTP webhooks registered with Telegram Bot API, parsing message payloads (text, media, user metadata) and routing them to processing pipelines without maintaining persistent connections. Uses serverless function triggers (AWS Lambda, Google Cloud Functions, or Azure Functions) to handle incoming updates asynchronously, eliminating the need for long-polling or persistent bot processes.","intents":["Set up a Telegram bot that responds to user messages without running a persistent server","Integrate Telegram messaging into a serverless architecture without managing infrastructure","Handle multiple concurrent user conversations across Telegram without scaling concerns"],"best_for":["Developers building cost-optimized chatbots on AWS Lambda, Google Cloud Functions, or Azure Functions","Teams wanting to avoid managing bot server uptime and scaling","Rapid prototyping of Telegram-based conversational AI without DevOps overhead"],"limitations":["Webhook endpoint must be publicly accessible with HTTPS — cannot work behind corporate firewalls or NAT without tunneling","Telegram webhook delivery is at-least-once semantics; duplicate message handling required in application logic","Cold start latency (100-500ms) on serverless platforms may cause perceived bot unresponsiveness on first message after idle period","No built-in message ordering guarantees across concurrent invocations — requires external state management for conversation continuity"],"requires":["Telegram Bot API token (obtained from @BotFather)","Publicly accessible HTTPS endpoint (self-signed certs not supported by Telegram)","Serverless platform account (AWS Lambda, Google Cloud Functions, Azure Functions, or Vercel)","Network access to Telegram Bot API endpoints (api.telegram.org)"],"input_types":["JSON webhook payload from Telegram (message text, user ID, chat ID, media file IDs)","Telegram update objects containing message metadata"],"output_types":["Telegram Bot API method calls (sendMessage, sendPhoto, editMessageText)","HTTP 200 response to acknowledge webhook delivery"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_1","uri":"capability://text.generation.language.openai.api.integration.with.streaming.response.handling","name":"openai api integration with streaming response handling","description":"Sends user messages to OpenAI's Chat Completions API (GPT-3.5-turbo or GPT-4) with configurable system prompts and parameters, handling streaming responses to enable real-time message updates in Telegram. Manages API authentication via environment variables, constructs conversation context from message history, and handles rate limiting and error responses from OpenAI.","intents":["Send Telegram messages to ChatGPT and receive AI-generated responses","Stream ChatGPT responses back to Telegram users in real-time as tokens are generated","Configure bot personality and behavior via system prompts without code changes"],"best_for":["Developers building ChatGPT-powered Telegram bots with minimal setup","Teams wanting to leverage OpenAI's models without building custom LLM infrastructure","Prototyping conversational AI experiences that need production-grade language models"],"limitations":["OpenAI API costs scale with token usage — no built-in rate limiting or quota management; runaway conversations can incur unexpected charges","Streaming responses require managing partial message updates in Telegram (editMessageText calls), adding complexity vs simple send-once patterns","No built-in conversation memory persistence — requires external database to maintain chat history across sessions","Dependent on OpenAI API availability and rate limits (3,500 RPM for free tier); no fallback to alternative LLM providers in this implementation"],"requires":["OpenAI API key with Chat Completions access","Python 3.7+ or Node.js 14+ (depending on implementation language)","Network access to api.openai.com","Sufficient OpenAI account credits or billing setup"],"input_types":["Plain text messages from Telegram users","Conversation history (array of role/content message objects)"],"output_types":["Streamed text tokens from OpenAI API","Formatted Telegram messages (plain text or Markdown)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_2","uri":"capability://memory.knowledge.stateless.conversation.context.management","name":"stateless conversation context management","description":"Maintains conversation history by storing message exchanges in a simple in-memory cache or external key-value store (Redis, DynamoDB) keyed by Telegram user/chat ID, reconstructing context for each API call without persistent database schemas. Each serverless invocation retrieves prior messages, appends the new user message, sends the full context to OpenAI, and stores the response for future invocations.","intents":["Keep track of multi-turn conversations so the bot remembers previous messages in the same chat","Provide conversation context to OpenAI so responses are coherent and reference earlier messages","Reset conversation history when users request a fresh start without manual database cleanup"],"best_for":["Developers building multi-turn chatbots without complex state management","Teams using serverless architectures where persistent database connections are expensive","Rapid prototypes where conversation history doesn't need to survive bot restarts"],"limitations":["In-memory storage is lost on serverless function termination — conversation history disappears unless persisted to external store","No automatic conversation pruning — context window grows unbounded, eventually exceeding OpenAI token limits and increasing API costs","Race conditions possible if multiple messages arrive concurrently for same user — last-write-wins semantics without distributed locking","No built-in conversation expiration — old chats remain in storage indefinitely unless manually cleaned up"],"requires":["External key-value store (Redis, DynamoDB, Firestore) for persistence across invocations, OR acceptance of losing history on function termination","Unique user/chat identifier from Telegram (user_id or chat_id)","Serialization mechanism for storing message arrays (JSON)"],"input_types":["Telegram user ID or chat ID (integer)","New user message (text string)"],"output_types":["Array of conversation messages (role: 'user'|'assistant', content: string)","Updated conversation state stored in key-value store"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_3","uri":"capability://tool.use.integration.telegram.bot.api.method.invocation.with.error.handling","name":"telegram bot api method invocation with error handling","description":"Wraps Telegram Bot API calls (sendMessage, editMessageText, sendPhoto, etc.) with HTTP client abstractions, handling authentication via bot token, constructing properly-formatted request payloads, and implementing retry logic for transient failures. Parses Telegram API error responses and maps them to application-level exceptions for graceful degradation.","intents":["Send text responses back to Telegram users from serverless functions","Edit previously sent messages to update bot responses in real-time","Handle Telegram API errors (rate limits, invalid chat IDs) without crashing the bot"],"best_for":["Developers building Telegram bots who want abstracted API interaction without raw HTTP calls","Teams needing reliable message delivery with automatic retry on transient failures","Rapid prototyping where Telegram API error handling shouldn't require boilerplate"],"limitations":["Telegram API rate limits (30 messages per second per bot) are not enforced client-side — application must implement throttling to avoid 429 responses","No built-in message queuing — if Telegram API is temporarily unavailable, messages are lost unless application implements persistence","Retry logic may cause duplicate messages if Telegram API succeeds but response is lost — idempotency keys not supported by Telegram Bot API","Message formatting (Markdown, HTML) must be manually constructed; no built-in template system for common patterns"],"requires":["Telegram Bot API token (obtained from @BotFather)","HTTP client library (requests in Python, axios in Node.js, etc.)","Network access to api.telegram.org"],"input_types":["Telegram API method name (string: 'sendMessage', 'editMessageText', etc.)","Method parameters (chat_id, message_id, text, parse_mode, etc.)","Bot token (string)"],"output_types":["Telegram API response JSON (ok: boolean, result: object)","Application-level success/failure status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_4","uri":"capability://automation.workflow.serverless.function.deployment.and.environment.configuration","name":"serverless function deployment and environment configuration","description":"Packages bot code and dependencies for deployment to serverless platforms (AWS Lambda, Google Cloud Functions, Azure Functions, or Vercel), managing environment variables for API keys (OpenAI token, Telegram bot token), and configuring function triggers to respond to HTTP requests. Handles platform-specific deployment manifests (CloudFormation, Terraform, serverless.yml) and runtime selection.","intents":["Deploy a Telegram bot to production without managing servers or containers","Configure API keys and secrets securely without hardcoding them in source code","Set up automatic scaling so the bot handles traffic spikes without manual intervention"],"best_for":["Developers familiar with serverless platforms (AWS Lambda, GCP, Azure) who want to deploy bots quickly","Teams wanting to minimize infrastructure management overhead","Cost-conscious projects where per-invocation billing is preferable to always-on servers"],"limitations":["Cold start latency (100-500ms on AWS Lambda, 1-2s on GCP) causes noticeable delays on first message after idle periods","Deployment process varies significantly across platforms — code written for AWS Lambda requires refactoring for Google Cloud Functions","Environment variable size limits (4KB on AWS Lambda) restrict complexity of configuration","Debugging serverless functions is harder than local development — requires platform-specific logging and monitoring tools","Vendor lock-in risk — migrating between serverless providers requires rewriting deployment configuration and adapting to platform-specific APIs"],"requires":["Serverless platform account (AWS, Google Cloud, Azure, or Vercel)","Deployment tool (AWS SAM, Serverless Framework, Terraform, or platform CLI)","Python 3.9+ or Node.js 18+ runtime support on chosen platform","IAM permissions to create functions, set environment variables, and configure HTTP triggers"],"input_types":["Bot source code (Python or JavaScript)","Dependencies file (requirements.txt or package.json)","Environment variable configuration (API keys, tokens)"],"output_types":["Deployed function URL (HTTPS endpoint)","Function logs and metrics in platform console"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_5","uri":"capability://text.generation.language.message.formatting.and.telegram.ui.integration","name":"message formatting and telegram ui integration","description":"Formats AI-generated responses as Telegram-compatible messages using Markdown or HTML parsing modes, constructs inline keyboards for user interactions (buttons, callbacks), and handles media attachments (photos, documents). Manages message length limits (4096 characters) by splitting long responses across multiple messages automatically.","intents":["Display formatted AI responses with bold, italic, and code blocks in Telegram","Add interactive buttons to Telegram messages so users can trigger actions without typing","Send images or documents alongside text responses"],"best_for":["Developers building rich interactive Telegram bots with formatted output","Teams wanting to provide better UX than plain text responses","Prototyping conversational interfaces that need visual hierarchy and interactivity"],"limitations":["Telegram message length limit (4096 characters) requires manual splitting for long responses — no automatic pagination UI","Inline keyboard callbacks are stateless — button presses don't automatically maintain conversation context; application must track state","Markdown parsing is strict — malformed markdown breaks message formatting; no fallback to plain text rendering","Media attachments require file IDs or URLs — no built-in support for generating images or documents from AI responses","Message editing is limited to 48 hours after creation — cannot update old messages in conversation history"],"requires":["Telegram Bot API token","Understanding of Telegram message formatting (Markdown or HTML)","Knowledge of Telegram inline keyboard structure for interactive buttons"],"input_types":["Plain text AI response from OpenAI","Structured data for keyboard buttons (text, callback_data)"],"output_types":["Telegram-formatted message text (Markdown or HTML)","Inline keyboard JSON structure","Media file URLs or Telegram file IDs"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_6","uri":"capability://memory.knowledge.user.identification.and.multi.chat.conversation.isolation","name":"user identification and multi-chat conversation isolation","description":"Extracts user and chat identifiers from Telegram webhook payloads (user_id, chat_id, message_id) to isolate conversations per user or group, preventing cross-contamination of conversation history. Implements per-user conversation namespacing in the context store, ensuring that messages from User A don't appear in User B's conversation history.","intents":["Support multiple concurrent users without their conversations interfering with each other","Handle group chats where multiple users interact with the bot in the same chat","Maintain separate conversation history for private chats vs group chats with the same user"],"best_for":["Developers building bots that serve multiple users simultaneously","Teams supporting both private and group chat scenarios","Applications requiring strict conversation isolation for privacy or data integrity"],"limitations":["Group chat support requires additional logic to attribute messages to specific users — Telegram provides user_id but context store must key by (chat_id, user_id) tuple","No built-in access control — bot cannot distinguish between authorized and unauthorized users; application must implement allowlisting if needed","Conversation isolation is application-level only — if context store is compromised, all user conversations are exposed","No automatic conversation cleanup when users leave groups or delete chats — orphaned conversation history remains in storage"],"requires":["Telegram webhook payload parsing to extract user_id and chat_id","Key-value store supporting composite keys (chat_id + user_id) or string concatenation","Logic to distinguish private chats (user_id == chat_id) from group chats"],"input_types":["Telegram update object with from.id (user_id) and chat.id (chat_id)","Message text and metadata"],"output_types":["Namespaced conversation key (e.g., 'chat_123_user_456')","Isolated conversation history for that user/chat pair"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-serverless-telegram-bot__cap_7","uri":"capability://automation.workflow.asynchronous.message.processing.with.serverless.concurrency","name":"asynchronous message processing with serverless concurrency","description":"Processes incoming Telegram messages asynchronously using serverless function invocations, enabling multiple concurrent conversations without blocking. Each webhook invocation spawns an independent function execution, allowing the bot to handle traffic spikes by automatically scaling function instances on the serverless platform.","intents":["Handle multiple users sending messages simultaneously without one user's request blocking another","Scale bot capacity automatically during traffic spikes without manual intervention","Reduce perceived latency by processing messages in parallel rather than sequentially"],"best_for":["Developers building bots that need to handle concurrent user traffic","Teams wanting automatic scaling without managing load balancers or auto-scaling groups","Applications where message processing latency is critical"],"limitations":["Concurrent function invocations increase API costs proportionally — no built-in rate limiting or cost controls","Serverless platforms have concurrency limits (1000 concurrent executions on AWS Lambda by default) — exceeding limits causes request throttling","Asynchronous processing complicates error handling — failures in one invocation don't propagate to the user unless explicitly logged and monitored","No guaranteed message ordering across concurrent invocations — if User A sends two messages rapidly, they may be processed out of order","Cold starts are amplified with high concurrency — many simultaneous invocations may all experience cold start latency"],"requires":["Serverless platform with automatic scaling (AWS Lambda, Google Cloud Functions, Azure Functions)","Webhook endpoint that can accept concurrent requests","Monitoring/logging to track concurrent execution and errors"],"input_types":["HTTP webhook requests from Telegram (one per incoming message)"],"output_types":["Independent function executions, each returning HTTP 200 to Telegram"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["Telegram Bot API token (obtained from @BotFather)","Publicly accessible HTTPS endpoint (self-signed certs not supported by Telegram)","Serverless platform account (AWS Lambda, Google Cloud Functions, Azure Functions, or Vercel)","Network access to Telegram Bot API endpoints (api.telegram.org)","OpenAI API key with Chat Completions access","Python 3.7+ or Node.js 14+ (depending on implementation language)","Network access to api.openai.com","Sufficient OpenAI account credits or billing setup","External key-value store (Redis, DynamoDB, Firestore) for persistence across invocations, OR acceptance of losing history on function termination","Unique user/chat identifier from Telegram (user_id or chat_id)"],"failure_modes":["Webhook endpoint must be publicly accessible with HTTPS — cannot work behind corporate firewalls or NAT without tunneling","Telegram webhook delivery is at-least-once semantics; duplicate message handling required in application logic","Cold start latency (100-500ms) on serverless platforms may cause perceived bot unresponsiveness on first message after idle period","No built-in message ordering guarantees across concurrent invocations — requires external state management for conversation continuity","OpenAI API costs scale with token usage — no built-in rate limiting or quota management; runaway conversations can incur unexpected charges","Streaming responses require managing partial message updates in Telegram (editMessageText calls), adding complexity vs simple send-once patterns","No built-in conversation memory persistence — requires external database to maintain chat history across sessions","Dependent on OpenAI API availability and rate limits (3,500 RPM for free tier); no fallback to alternative LLM providers in this implementation","In-memory storage is lost on serverless function termination — conversation history disappears unless persisted to external store","No automatic conversation pruning — context window grows unbounded, eventually exceeding OpenAI token limits and increasing API costs","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"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":"2026-06-17T09:51:04.049Z","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=serverless-telegram-bot","compare_url":"https://unfragile.ai/compare?artifact=serverless-telegram-bot"}},"signature":"N6odSEqyFyKQ+bgRyx/zqJ6jo+tpFbSuJSj95w94eqQ4mkcmgGlNSg0SWmb4DGI294bn8cfxWV98bnrALWSuAA==","signedAt":"2026-06-21T14:11:56.849Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/serverless-telegram-bot","artifact":"https://unfragile.ai/serverless-telegram-bot","verify":"https://unfragile.ai/api/v1/verify?slug=serverless-telegram-bot","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"}}