Whatsapp-Langgraph-Agent-Integration

Dependency freshness

Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.

What's in the stack

Framework

FastAPI

Database / ORM

PostgreSQL (psycopg)

AI

LangGraph

API layer

Pydantic, Uvicorn

Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.

What the README says you get

• AI
  Whisper transcriptionTranscribe voice messages using Whisper
• AI
  Groq LLM responsesPowered by Groq's LLMs
• AI
  Contextual conversation flowContextual responses maintaining conversation flow
• AI
  Customizable system promptCustomizable system prompt for different personalities
• API
  FastAPI webhook endpointProvides the webhook endpoint and API infrastructure
• Data
  PostgreSQL conversation statePersistent conversation state using PostgreSQL
• i18n
  Multiple language supportSupport for multiple languages
• Other
  Text and voice messagesProcess both text and voice messages
• Other
  Synthesized voice repliesRespond with synthesized voice
• Other
  Message aggregation wait timeMessage aggregation with configurable wait time
• Other
  LangGraph agent workflowsEnables sophisticated, stateful agent workflows
• Other
  WPPConnect WhatsApp integrationHandles WhatsApp integration
• Other
  gTTS text to speechConverts text responses to speech

Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.