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Docs/release 0.175.0 docs (#3441)
* docs(install): note OpenAI SDK requirement openai>=1.13.3 for 0.175.0 * docs(cli): document device-code login and config reset guidance; renumber sections * docs(flows): document conditional @start and resumable execution semantics * docs(tasks): move max_retries to deprecation note under attributes table * docs: provider-neutral RAG client config; entity memory batching; trigger payload note; tracing batch manager * docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections)
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@@ -141,6 +141,16 @@ Traces are invaluable for troubleshooting issues with your crews:
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</Step>
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</Steps>
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## Performance and batching
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CrewAI batches trace uploads to reduce overhead on high-volume runs:
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- A TraceBatchManager buffers events and sends them in batches via the Plus API client
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- Reduces network chatter and improves reliability on flaky connections
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- Automatically enabled in the default trace listener; no configuration needed
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This yields more stable tracing under load while preserving detailed task/agent telemetry.
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<Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
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Contact our support team for assistance with trace analysis or any other CrewAI Enterprise features.
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</Card>
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@@ -96,6 +96,13 @@ class MyAutomatedCrew:
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The crew will automatically receive and can access the trigger payload through the standard CrewAI context mechanisms.
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<Note>
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Crew and Flow inputs can include `crewai_trigger_payload`. CrewAI automatically injects this payload:
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- Tasks: appended to the first task's description by default ("Trigger Payload: {crewai_trigger_payload}")
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- Control via `allow_crewai_trigger_context`: set `True` to always inject, `False` to never inject
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- Flows: any `@start()` method that accepts a `crewai_trigger_payload` parameter will receive it
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</Note>
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### Integration with Flows
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For flows, you have more control over how trigger data is handled:
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