I will build a custom langchain ai agent


About this gig
I deliver custom AI agents in Python using LangChain and packaged in Docker for easy local or cloud deployment.
Agents can connect to Ollama via langchain-ollama or any LangChain-compatible API (OpenAI, Google PaLM, etc.).
I also develop the custom tools your LLM will call, including:
- HTTP client templates with .env-driven config
- Pydantic schemas for input/output validation
- Mapping & formatting functions for data transformation
- Retrieval-augmented pipelines (ChromaDB/FAISS)
- Web scrapers and email dispatchers
Each agent comes with:
- Channel integrations (Slack, Telegram, email via SMTP/Gmail API, Notion)
- Structured logs & unit tests
- Clean, commented code
Contact me before ordering to scope your needs and choose the perfect package.
Get to know Romain Kinoux
Building Private AI Assistants and Automation Systems
- FromFrance
- Member sinceJul 2022
- Last delivery10 months
Languages
English, French
My Portfolio
FAQ
Which LLMs can I use?
Ollama (via langchain-ollama) or any LangChain-compatible API (OpenAI, Google PaLM, etc.)—you supply the keys.
Where can I deploy the agent?
The Python code runs out-of-the-box in a Docker container, whether on your local machine or any remote server.
Is my data safe?
All processing runs in your environment; no customer data is stored on my servers.
What external integrations are supported?
Slack, Telegram, email (SMTP/Gmail API), Notion, Discord, CRM systems, custom REST/GraphQL APIs, web scrapers…
Is this a no-code solution?
No – you receive full source code (Python + Docker) with templates, Pydantic schemas, tools, and comments for future extension.
