Comments (9)
@philipchung Hey let me have a look. WHat ar eyou adding opentelemetry for?
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@philipchung I see. We're also adding tracing to Confident AI for llamaindex specifically, out next week. In the meantime feel free to make a PR on relaxing the dependencies in setup.py and poetry š
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merged gonna cut a release in the next 12 hours to include the change, thansk!
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Thank you! I have sensitive data that prohibits me from uploads to a web service, which is why I am using local tracing tools like Arize Phoenix, etc.
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@philipchung I see, well in that case you'll like our support for any offline LLMs :) Come join our discord btw: https://discord.com/invite/a3K9c8GRGt for any other questions. Also new release is out, thanks!
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I still have a conflict in deepeval release 0.21.35 because setup.py was changed to "importlib-metadata~=6.0.2" instead of "importlib-metadata>=6.0.2". This limits the compatible importlib-metadata versions to >=6.0.2,<6.1.0. Can we change it to just >=6.0.2?
Some of my other dependencies (e.g. LiteLLM) require higher version of importlib-metadata (e.g. >=6.8.0)
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@philipchung Forgot why i corrected it.. but the new release should be good! v0.21.36. Please let me know if it works, I'd like to catch after dependency bugs before the week starts!
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@penguine-ip Thank you! I am now able to install the deepeval package in my environment without any dependency conflicts.
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Related Issues (20)
- Make evaluate() run test cases concurrently
- Source Files for Synthetic Goldens not integrated with Confident
- Add browser opening flag to config HOT 1
- Implement an AnswerCorrectness Metric HOT 5
- Bug with KnowledgeRetention HOT 1
- Add Cohere command-r model support HOT 5
- Writing of any files like cache or temp to running directory - Disable or Provide Config to set location HOT 1
- Typo in faithfulness template HOT 1
- `deepeval test run` takes default pytest `addopts` with no option to override HOT 1
- Support batching for custom models HOT 4
- AttributeError for variable passed to `trimAndLoadJson` when using GEval with custom model HOT 1
- Do you support evaluation on multi-lingual model and dataset? HOT 1
- [Python 3.8] Invalid syntax for Python 3.8 HOT 2
- Documentation for Chain of Thought in GEval HOT 2
- Hallucination test is really a test for faithful summarization, not of hallucination-absence
- Show me the prompt! HOT 2
- SummarizationMetric is not cached HOT 4
- Return type of `evaluate` is not documented.
- Score is not cached
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