[Collection] False or problematic output
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
Research direction
No file, test, or entry point is named. Start by reviewing the required input, conversation history, model output, expected output, model, and service, then determine whether a reproducible defect and a concrete code location can be identified. Done would require an actionable scope beyond this general collection report.
Written by the indexing model from the issue text.
Description
Here you can report false or problematic output your model creates with Context Agent.
We will not be able to fix everything reported here, but we will use the information to optimize the app as much as we can.
Please include in every report
- your input (including the last 10 messages of the conversation)
- the model output
- what output you expected
- the used model and service
- Dominant language
- Python
- Stars
- 24
- Forks
- 16
- Avg merge
- 7d 15h
- Merged PRs (30d)
- 4
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.
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