Article
Building Systematic AI Agents with Open-Source LLMs
A practical blueprint using Llama, Mistral, and LangChain
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Systematic agent building requires clear objectives, deterministic tools, and robust evaluation. In this guide, we implement a production-ready pattern using LangChain orchestration, Open-source LLMs (Llama, Mistral), and tool-execution via structured functions.
Architecture
- Planner Agent: decomposes tasks
- Executor Agent: calls tools/APIs
- Memory: vector DB for context
- Supervisor: evaluates results
Key Practices
- Schema-first tools
- Deterministic retries
- Outcome scoring
- Safety checks
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