Four GitHub repos turn GPT-6 Astra into a full agent stack
LiteLLM for routing, PydanticAI for typed tools, E2B for sandboxed execution and Phoenix for tracing turn GPT-6 Astra from a chatbot into a working agent stack.
AI AGENTS ARE A F*CKING GOLDMINE 4 GitHub repos that turn GPT 6 Astra from a chatbot into a real agent stack trick: stop making one model handle routing logic tools execution and debugging by itself give every job its own layer here’s the setup: → LiteLLM routes model calls and handles fallbacks https://github.com/BerriAI/litellm → PydanticAI gives the agent typed tools and validated outputs https://github.com/pydantic/pydantic-ai → E2B gives it an isolated environment to execute real work https://github.com/e2b-dev/E2B → Phoenix traces evaluates and debugs what the agent actually does https://github.com/Arize-ai/phoenix the useful shift is simple model → router → agent logic → sandbox → evaluation you do not need 20 repos to start these four already separate the jobs that usually make basic agents collapse paste this into Claude Code ↓ “Build a working AI agent using LiteLLM PydanticAI E2B and Phoenix Use LiteLLM for model routing and fallback logic Use PydanticAI for typed tools and validated outputs Run execution inside an E2B sandbox Add Phoenix tracing and evaluation for every run Generate the architecture first Then create the smallest working implementation with error handling and clear setup instructions” bookmark this before building your next agent
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