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Initialize LangChain Agent with Arize Instrumentation
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build an ONDC Logistics Triage Agent with LangChain and Arize Phoenix
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Code-aware
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Linked challenge
Build an ONDC Logistics Triage Agent with LangChain and Arize Phoenix
Prompt source
Original prompt text with formatting preserved for inspection.
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Import `from langchain.agents import AgentExecutor` and configure `phoenix.trace.langchain` instrumentation. Construct a chain that accepts ONDC logistics webhook payloads, classifies network failure codes, and emits a structured fallback command.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.