Add a LangChain chat model integration for the orchestration service
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4
- Forks
- 1
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 48
Description
Checklist
- My issue is not an AI Core service issue, but an SDK issue.
- My issue is a Python related issue, not a JS/TS or Java related issue.
- My issue is not already reported or documented.
Describe the Problem
The SDK's orchestration service (v1 gen_ai_hub/orchestration/ and v2 orchestration_v2/) has no LangChain integration, LangChain support exists only for the proxy provider clients.
Propose a Solution
Provide a LangChain BaseChatModel wrapper backed by the orchestration service (analogous to the existing proxy/langchain/ wrappers).
Describe Alternatives
No response
Affected Development Phase
Development
Impact
Impaired
Timeline
No response
Additional Context
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing proxy/langchain/ wrappers and the orchestration service implementations under v1 gen_ai_hub/orchestration/ and v2 orchestration_v2/. Define the LangChain BaseChatModel integration for both orchestration versions, then add coverage showing that the wrapper delegates chat requests and exposes the expected LangChain behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend-api-design
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100