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docs: Docs updates (#3459)
* docs(cli): document device-code login and config reset guidance; renumber sections * docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections) * docs: Fix webhook documentation to include meta dict in all webhook payloads - Add note explaining that meta objects from kickoff requests are included in all webhook payloads - Update webhook examples to show proper payload structure including meta field - Fix webhook examples to match actual API implementation - Apply changes to English, Korean, and Portuguese documentation Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API. * WIP: CrewAI docs theme, changelog, GEO, localization * docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko) * docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
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title: Arize Phoenix
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description: Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference
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icon: magnifying-glass-chart
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mode: "wide"
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---
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# Arize Phoenix Integration
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title: LangDB Integration
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description: Govern, secure, and optimize your CrewAI workflows with LangDB AI Gateway—access 350+ models, automatic routing, cost optimization, and full observability.
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icon: database
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mode: "wide"
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---
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# Introduction
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title: Langfuse Integration
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description: Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit
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icon: vials
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mode: "wide"
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---
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# Integrate Langfuse with CrewAI
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title: Langtrace Integration
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description: How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.
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icon: chart-line
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mode: "wide"
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---
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# Langtrace Overview
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title: "Maxim Integration"
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description: "Start Agent monitoring, evaluation, and observability"
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icon: "infinity"
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mode: "wide"
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---
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# Maxim Overview
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title: MLflow Integration
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description: Quickly start monitoring your Agents with MLflow.
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icon: bars-staggered
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mode: "wide"
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---
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# MLflow Overview
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title: Neatlogs Integration
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description: Understand, debug, and share your CrewAI agent runs
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icon: magnifying-glass-chart
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mode: "wide"
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---
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# Introduction
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title: OpenLIT Integration
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description: Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.
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icon: magnifying-glass-chart
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mode: "wide"
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---
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# OpenLIT Overview
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title: Opik Integration
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description: Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.
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icon: meteor
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mode: "wide"
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---
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# Opik Overview
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title: "Overview"
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description: "Monitor, evaluate, and optimize your CrewAI agents with comprehensive observability tools"
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icon: "face-smile"
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mode: "wide"
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---
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## Observability for CrewAI
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title: Patronus AI Evaluation
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description: Monitor and evaluate CrewAI agent performance using Patronus AI's comprehensive evaluation platform for LLM outputs and agent behaviors.
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icon: shield-check
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mode: "wide"
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---
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# Patronus AI Evaluation
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title: Portkey Integration
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description: How to use Portkey with CrewAI
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icon: key
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mode: "wide"
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---
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<img src="https://raw.githubusercontent.com/siddharthsambharia-portkey/Portkey-Product-Images/main/Portkey-CrewAI.png" alt="Portkey CrewAI Header Image" width="70%" />
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---
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title: TrueFoundry Integration
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icon: chart-line
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mode: "wide"
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---
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TrueFoundry provides an enterprise-ready [AI Gateway](https://www.truefoundry.com/ai-gateway) which can integrate with agentic frameworks like CrewAI and provides governance and observability for your AI Applications. TrueFoundry AI Gateway serves as a unified interface for LLM access, providing:
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title: Weave Integration
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description: Learn how to use Weights & Biases (W&B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.
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icon: radar
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mode: "wide"
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---
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# Weave Overview
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