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LangChain Agent Framework Integration

Description

Integrates LangChain to compose AI agents that use tools — search, calculator, database lookup, API call — to resolve customer requests autonomously. Agents can reason over multi-step problems and select the appropriate tool for each step.

Canonical use case

A travel company's AI agent uses LangChain tool calls to look up flight availability, check baggage policy from a knowledge base, and calculate rebooking fees before presenting options to the customer.

Open Items

  • [ ] Canon alignment — populate canon_axiom_refs or confirm no existing axiom applies
  • [ ] Dependency assessment — set dependencies_assessed: true once SA has reviewed the full chain
  • [ ] effort_estimate — replace 0 with rough engineering days (order of magnitude)
  • [ ] public_description — write the public-facing description before publishing