feat: implement official LangChain integration (Pattern B) #2#10
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vinamradev wants to merge 2 commits into
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feat: implement official LangChain integration (Pattern B) #2#10vinamradev wants to merge 2 commits into
vinamradev wants to merge 2 commits into
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📝 WalkthroughWalkthroughAdds a new ChangesLangChain Workflow Example
Estimated code review effort: 3 (Moderate) | ~20 minutes Sequence Diagram(s)sequenceDiagram
participant Main as __main__
participant Workflow as run(state)
participant Agent as AgentExecutor
participant LLM as ChatOpenAI
Main->>Workflow: run(initial State)
Workflow->>LLM: construct ChatOpenAI
Workflow->>Agent: create_openai_tools_agent + AgentExecutor
Workflow->>Agent: invoke({"input": state.query}) via run_in_executor
Agent->>LLM: process query with calculate_square tool
LLM-->>Agent: output
Agent-->>Workflow: agent output
Workflow-->>Main: State with result
Possibly related PRs
🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (2)
main.py (2)
1-1: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low valueOptional: replace the ambiguous
×in the docstring.Ruff flags the
×(U+00D7 MULTIPLICATION SIGN) as ambiguous (RUF002). If you want a clean lint run, use an ASCIIxor reword (e.g. "LangChain + JamJet").🤖 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 `@main.py` at line 1, The module docstring uses the ambiguous `×` character, which triggers Ruff’s RUF002 warning. Update the top-level docstring in `main.py` to use an ASCII alternative such as `x` or rephrase it (for example, using `+`) so the import-level documentation stays lint-clean.Source: Linters/SAST tools
59-65: 🚀 Performance & Scalability | 🔵 Trivial | ⚡ Quick winUse
ainvokehere instead ofrun_in_executor
AgentExecutorsupports async execution directly, so this can await the agent without the extra thread hop orasyncio.get_event_loop()call.♻️ Proposed refactor
- # Execute the agent synchronously inside the async thread pool wrapper - # (Since LangChain invoke runs synchronously by default here) - loop = asyncio.get_event_loop() - response = await loop.run_in_executor( - None, - lambda: agent_executor.invoke({"input": state.query}) - ) + # Execute the agent using LangChain's native async interface + response = await agent_executor.ainvoke({"input": state.query})🤖 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 `@main.py` around lines 59 - 65, The async execution in the agent flow still uses `asyncio.get_event_loop()` and `run_in_executor` in the `AgentExecutor.invoke` path, which adds an unnecessary thread hop. Update this call site to use `AgentExecutor.ainvoke` directly and await it with the same input payload, keeping the surrounding async flow in `main.py` unchanged.
🤖 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.
Inline comments:
In `@integrations/_template/python/README.md`:
- Around line 61-62: The attribution text in the README has malformed markdown,
so the profile link is not rendered correctly. Update the integration
attribution in the README template so the author handle is written with valid
link syntax and the “JamJet × {{Framework}} integration” text remains plain
readable text. Use the unique placeholder block around the attribution near the
{{Framework}} integration heading to find and correct it.
---
Nitpick comments:
In `@main.py`:
- Line 1: The module docstring uses the ambiguous `×` character, which triggers
Ruff’s RUF002 warning. Update the top-level docstring in `main.py` to use an
ASCII alternative such as `x` or rephrase it (for example, using `+`) so the
import-level documentation stays lint-clean.
- Around line 59-65: The async execution in the agent flow still uses
`asyncio.get_event_loop()` and `run_in_executor` in the `AgentExecutor.invoke`
path, which adds an unnecessary thread hop. Update this call site to use
`AgentExecutor.ainvoke` directly and await it with the same input payload,
keeping the surrounding async flow in `main.py` unchanged.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Pro
Run ID: 6adfe022-03d1-474b-992f-9e0d8efc6d7e
📒 Files selected for processing (2)
integrations/_template/python/README.mdmain.py
Comment on lines
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| [(https://github.com/vinamradev) — first JamJet × | ||
| {{Framework}} integration. |
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Fix the broken markdown link.
The attribution renders as malformed markdown here, so the profile won’t be clickable and the text will look odd in the README.
Suggested fix
-[(https://github.com/vinamradev) — first JamJet ×
-{{Framework}} integration.
+[vinamradev](https://github.com/vinamradev) — first JamJet ×
+{{Framework}} integration.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| [(https://github.com/vinamradev) — first JamJet × | |
| {{Framework}} integration. | |
| [vinamradev](https://github.com/vinamradev) — first JamJet × | |
| {{Framework}} integration. |
🤖 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 `@integrations/_template/python/README.md` around lines 61 - 62, The
attribution text in the README has malformed markdown, so the profile link is
not rendered correctly. Update the integration attribution in the README
template so the author handle is written with valid link syntax and the “JamJet
× {{Framework}} integration” text remains plain readable text. Use the unique
placeholder block around the attribution near the {{Framework}} integration
heading to find and correct it.
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Closes #2
What does this PR do?
This PR adds the official LangChain integration for JamJet using Pattern B. It wraps the LangChain AgentExecutor inside a JamJet workflow step using Pydantic state models to ensure full durability and checkpointing on process restarts.
Deliverables included:
main.pyimplementation with sample LangChain tools.README.mdas per the python integration template.Summary by CodeRabbit
New Features
Documentation