deepset-ai / deepset-ai/haystack
Ensure stable, low-effort integrations
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epic
- Dominant language
- Python
- Stars
- 26.6k
- Forks
- 3.2k
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 194
Description
We plan to:
- Add several new Haystack integrations in Q1 and simplify how community members can contribute a new integration where possible
- Reduce code complexity of every LLM provider integration by reusing the implementation of ChatGenerator components in their corresponding Generator components
- Ensure that nightly tests of our integrations remain highly reliable and that test coverage is consistently high across all integrations
- Decide how to prevent duplicate code examples in a component’s documentation page and in the integration’s page
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
No files, tests, or entry points are named. Start by splitting the four goals into scoped issues and locating the existing integration implementations, nightly tests, coverage checks, and documentation pages; done is a concrete, agreed scope for each goal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, documentation, testing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100