docs(sdk): add wren-langchain SDK guide for agent builders#2254
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WalkthroughAdds two new SDK documentation pages (overview and wren-langchain guide) covering setup, installation, quickstart, API reference, integration patterns, troubleshooting, compatibility, and limitations; and updates the docs sync workflow to include SDK docs in site builds. Changeswren-langchain SDK Documentation
Docs Sync Workflow Update
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Suggested reviewers
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🧹 Nitpick comments (1)
docs/core/sdk/langchain.md (1)
205-205: ⚡ Quick winConsider clarifying the async bridge behavior.
The statement "LangChain auto-bridges to a thread pool when tools run in async LangGraph" makes a specific claim about LangChain's internal threading behavior. Consider:
- Adding a reference or link to LangChain documentation that describes this behavior
- Specifying which version of LangChain introduced this behavior
- Providing guidance on how to configure the thread pool size if the default executor is insufficient
This will help users better understand the performance implications and potential workarounds for high-concurrency scenarios.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@docs/core/sdk/langchain.md` at line 205, Update the "Synchronous tools only." bullet to clarify LangChain's async-to-thread-bridge: cite a LangChain documentation link that describes the bridge behavior, state the minimum LangChain release/version where this behavior appears, and add a short note on configuring the executor (e.g., how to increase ThreadPoolExecutor max_workers or relevant LangChain/env configuration) so readers know how to avoid exhausting the default executor for high-concurrency async LangGraph workloads; keep the new text concise and targeted to the existing "Synchronous tools only." sentence referencing "LangChain auto-bridges" and "async LangGraph".
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@docs/core/sdk/langchain.md`:
- Line 205: Update the "Synchronous tools only." bullet to clarify LangChain's
async-to-thread-bridge: cite a LangChain documentation link that describes the
bridge behavior, state the minimum LangChain release/version where this behavior
appears, and add a short note on configuring the executor (e.g., how to increase
ThreadPoolExecutor max_workers or relevant LangChain/env configuration) so
readers know how to avoid exhausting the default executor for high-concurrency
async LangGraph workloads; keep the new text concise and targeted to the
existing "Synchronous tools only." sentence referencing "LangChain auto-bridges"
and "async LangGraph".
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Configuration used: Repository UI
Review profile: CHILL
Plan: Pro
Run ID: b94c8075-f4fe-4ed3-b5e3-07a1818f04ea
📒 Files selected for processing (1)
docs/core/sdk/langchain.md
New doc at docs/core/sdk/langchain.md targeting users building LangChain or LangGraph agents on top of a Wren project. Covers installation extras, three-line quickstart, API reference (toolkit methods + 6 LLM-facing tools + direct Python API), three integration patterns (read-only memory / LangGraph custom loop / multi-project federation), and a troubleshooting table. Front-loaded caution points readers at the install guide before they touch the SDK.
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This was referenced May 14, 2026
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Summary
docs/core/sdk/langchain.mdfor users building LangChain or LangGraph agents on top of a Wren projectWhat's covered
profile add→context init→set-profile→context build) with caution + install-guide linkpip installline + extras table (datasource pass-through, memory, all)langchain.agents.create_agentfrom_project(),get_tools(),system_prompt()signatures; 6 LLM-facing tools; direct Python APITest plan
../get_started/connect.md,../get_started/installation.md)🤖 Generated with Claude Code
Summary by CodeRabbit
wren-langchainSDK guide with installation, Python quickstart, API reference, integration patterns, troubleshooting, compatibility, and an SDK overview describing available integrations and access modes.