feat(crewAI): add instrumentation for async API (akickoff)

[tsdaemon]

CrewAI has released an async interface akickoff which is not covered in the current instrumentation. This adds instrumentation for the new execution path. This also removes deprecated GenAiSystemValues.

• I have added tests that cover my changes.
• If adding a new instrumentation or changing an existing one, I've added screenshots from some observability platform showing the change.
• PR name follows conventional commits format: feat(instrumentation): ... or fix(instrumentation): ....
• (If applicable) I have updated the documentation accordingly.

Summary by CodeRabbit

• New Features

  • Added broader support for CrewAI’s native async execution paths, improving tracing coverage for async workflows, agent actions, task execution, and model calls.
  • Refined provider name labeling for some AI providers so trace attributes are more consistent with current naming conventions.

• Bug Fixes

  • Improved compatibility with newer CrewAI versions while safely skipping unsupported async methods on older releases.
  • Enhanced span status and error reporting for async operations.

[coderabbitai]

📝 Walkthrough

📝 Walkthrough

🚥 Pre-merge checks | ✅ 2

✅ Passed checks (2 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly reflects the main change: adding CrewAI async API instrumentation, including akickoff.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[coderabbitai]

Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In
`@packages/opentelemetry-instrumentation-crewai/opentelemetry/instrumentation/crewai/instrumentation.py`:
- Around line 27-33: The LiteLLM prefix-to-OTel provider mapping in
instrumentation.py is incomplete for CrewAI model IDs. Update
_LITELLM_PREFIX_TO_OTEL_PROVIDER in the CrewAI instrumentation to normalize
bedrock/... to the AWS provider name and add the missing azure_ai/... mapping to
the Azure AI OpenAI provider name, so get_otel_provider_name (or the lookup path
used by CrewAI spans) returns the correct gen_ai.provider.name value.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

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ℹ️ Review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 3d2f6bd3-05ca-4427-81f6-8fccfc354c8a

📥 Commits

Reviewing files that changed from the base of the PR and between 93429cf and 5508e76.

⛔ Files ignored due to path filters (1)

• packages/opentelemetry-instrumentation-crewai/uv.lock is excluded by !**/*.lock

📒 Files selected for processing (3)

• packages/opentelemetry-instrumentation-crewai/opentelemetry/instrumentation/crewai/instrumentation.py
• packages/opentelemetry-instrumentation-crewai/pyproject.toml
• packages/opentelemetry-instrumentation-crewai/tests/test_async_instrumentation.py

[coderabbitai]

🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win

🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# Verify enum availability and cross-package provider expectations.
uv run python - <<'PY'
from opentelemetry.semconv._incubating.attributes.gen_ai_attributes import GenAiProviderNameValues

for name in ("AWS_BEDROCK", "AZURE_AI_INFERENCE"):
    print(name, getattr(GenAiProviderNameValues, name).value)
PY

rg -n -C2 '("bedrock"|"azure_ai"|AWS_BEDROCK|AZURE_AI_INFERENCE)' \
  packages/opentelemetry-instrumentation-litellm \
  packages/opentelemetry-instrumentation-crewai

Repository: traceloop/openllmetry

Length of output: 3426

---

🏁 Script executed:

sed -n '1,160p' packages/opentelemetry-instrumentation-crewai/opentelemetry/instrumentation/crewai/instrumentation.py
printf '\n---\n'
rg -n -C3 'AWS_BEDROCK|AZURE_AI_INFERENCE|bedrock|azure_ai' packages/opentelemetry-instrumentation-crewai

Repository: traceloop/openllmetry

Length of output: 8219

---

Normalize Bedrock and Azure AI provider names. bedrock/... maps to AWS, and azure_ai/... has no entry, so CrewAI spans will emit incorrect or missing gen_ai.provider.name values for LiteLLM-style model IDs.

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In
`@packages/opentelemetry-instrumentation-crewai/opentelemetry/instrumentation/crewai/instrumentation.py`
around lines 27 - 33, The LiteLLM prefix-to-OTel provider mapping in
instrumentation.py is incomplete for CrewAI model IDs. Update
_LITELLM_PREFIX_TO_OTEL_PROVIDER in the CrewAI instrumentation to normalize
bedrock/... to the AWS provider name and add the missing azure_ai/... mapping to
the Azure AI OpenAI provider name, so get_otel_provider_name (or the lookup path
used by CrewAI spans) returns the correct gen_ai.provider.name value.

[tsdaemon]

Thanks — split into the two parts:

• azure_ai/: good catch, added "azure_ai": GenAiProviderNameValues.AZURE_AI_INFERENCE.value (→ azure.ai.inference). LiteLLM's azure_ai/ prefix targets Azure AI Foundry serverless deployments (Azure AI Inference API), which is distinct from azure/ → Azure OpenAI (azure.ai.openai). Previously azure_ai/... fell through to None.

• bedrock/: this one is already correct and needs no change. It maps to GenAISystem.AWS.value, whose value is "aws.bedrock" — identical to GenAiProviderNameValues.AWS_BEDROCK.value. So bedrock spans already emit gen_ai.provider.name = aws.bedrock. (The verification script above only inspected GenAiProviderNameValues, not the actual GenAISystem.AWS value.)

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