feat: add Python Azure OpenAI instrumentation package#156
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Add traceai-azure-openai package for tracing Azure OpenAI API calls. This brings Python parity with the existing Java Azure OpenAI integration. - AzureOpenAIInstrumentor for auto-instrumenting AzureOpenAI/AsyncAzureOpenAI clients - Azure-specific attributes: deployment name, API version, endpoint - Chat completions, embeddings, and completions tracing - Streaming and async support - Unit tests (7 tests) and usage examples
louayboukhris
marked this pull request as draft
April 20, 2026 15:52
louayboukhris
marked this pull request as ready for review
April 20, 2026 15:54
abhijaisrivastava15
requested review from
JayaSurya-27
and removed request for
atharva-bhange
June 24, 2026 13:55
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Nice work on this the streaming and async coverage is solid. One thing I noticed in init.py: _instrument patches openai.OpenAI.request rather than openai.AzureOpenAI.request directly. Since AzureOpenAI inherits from OpenAI this works in isolation, but if someone has both OpenAIInstrumentor and AzureOpenAIInstrumentor active in the same process they'd both be patching the same method on the same base class which could cause double instrumentation or one silently overwriting the other's wrapper. Would wrapping AzureOpenAI.request directly be cleaner so each instrumentor owns its own target? Also logger = logging.getLogger(name) appears twice in init.py (before and after the try/except block) second one's redundant. |
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Add traceai-azure-openai package for tracing Azure OpenAI API calls. This brings Python parity with the existing Java Azure OpenAI integration.
Pull Request
Description
tracing Azure OpenAI API calls