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Langsmith How to collect user feedback for Agent Server runs

A tutorial on implementing a user feedback loop for Agent Server runs by using feedbackkeys in request bodies to generate pre-signed URLs for associating user signals with LangSmith traces.

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Derived skill

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Viewing SKILL.md

Langsmith How to collect user feedback for Agent Server runs

A tutorial on implementing a user feedback loop for Agent Server runs by using feedbackkeys in request bodies to generate pre-signed URLs for associating user signals with LangSmith traces.

When To Use

Use when you need to implement a mechanism for users to provide thumbs up/down or custom scoring feedback that automatically links to specific agent traces in LangSmith.

Reference Files

FileContainsUse For
SKILL.mdEntry point: scope, routing table, and workflow.Start here.
docs/langsmith-agent-server-feedback-how-to-collect-user-for-runs-workflow-guide.mdA guide explaining how to collect user feedback for Agent Server runs by calling the streaming run API and handling feedback events.Questions about a guide explaining how to collect user feedback for Agent Server runs by calling the streaming run API and handling f...
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a.textA text-based example demonstrating how to implement user feedback collection for Agent Server runs using user_liked and user_disliked labels.Exact payloads, commands, or snippets shown in A text-based example demonstrating how to implement user feedback collection for Agent Server runs using userliked an...
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a-2.textA text example demonstrating how to collect and send user feedback for Agent Server runs to LangSmith using feedback token URLs.Exact payloads, commands, or snippets shown in A text example demonstrating how to collect and send user feedback for Agent Server runs to LangSmith using feedback...
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a.pythonA Python script demonstrating how to use the LangGraph SDK to stream agent runs and collect user feedback using specific feedback keys.Exact payloads, commands, or snippets shown in A Python script demonstrating how to use the LangGraph SDK to stream agent runs and collect user feedback using speci...
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a.javascriptA JavaScript example demonstrating how to use the LangGraph SDK to stream agent runs and collect user feedback using feedback keys.Exact payloads, commands, or snippets shown in A JavaScript example demonstrating how to use the LangGraph SDK to stream agent runs and collect user feedback using...
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a.bashA curl command demonstrating how to send a POST request to the Agent Server to stream runs with specific feedback keys.Exact payloads, commands, or snippets shown in A curl command demonstrating how to send a POST request to the Agent Server to stream runs with specific feedback keys.
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a-3.textA text representation of the event format used to collect user feedback for Agent Server runs in LangSmith.Exact payloads, commands, or snippets shown in A text representation of the event format used to collect user feedback for Agent Server runs in LangSmith.
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a-2.bashA curl command demonstrating how to post user feedback scores and comments to the LangSmith API for Agent Server runs.Exact payloads, commands, or snippets shown in A curl command demonstrating how to post user feedback scores and comments to the LangSmith API for Agent Server runs.
examples/langsmith-agent-server-feedback-how-to-collect-user-for-runs-langsmith-a-3.bashA curl command demonstrating how to send user feedback scores and comments to the LangSmith API for Agent Server runs.Exact payloads, commands, or snippets shown in A curl command demonstrating how to send user feedback scores and comments to the LangSmith API for Agent Server runs.

What This Skill Covers

  • Documentation Index Fetch the complete documentation index at: https://docs.langchain.com/llms.txt Use this file to discover all available pages before ex...

  • Main sections: How it works, Call the streaming run API with feedbackkeys, Handle the streamed feedback event, Submit feedback with the generated URL, Optimize feedback data model.

Workflow

  1. Open the most relevant file under docs/ for the exact documented workflow and wording.
  2. Open schemas/ files for exact structured contracts.
  3. Open examples/ files for concrete requests, commands, snippets, and manifests.
  4. Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://docs.langchain.com/langsmith/agent-server-feedback.md