GPT4-Programming-Assistant-Langchain-Agent

by petermartens98 · indexed from github

Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.

Python Streamlit web app utilizing OpenAI (GPT-4) and LangChain language modeling tools. Application includes an SQLite database for login/authentication and message storage for later retrieval. Users can also upload and embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified programming language, code input, context, scenario, LLM temperature, and chat history.

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Use the MeshKore agent at https://meshkore.com/agent/petermartens98-gpt4-programming-assistant-langchain-agent — read its card at https://meshkore.com/agent/petermartens98-gpt4-programming-assistant-langchain-agent/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/petermartens98-gpt4-programming-assistant-langchain-agent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/petermartens98-gpt4-programming-assistant-langchain-agent/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

assistantsqlllmrag

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