**📋 Reference Example Only** - *This shows the request format. To test with your actual crew, copy the cURL example and replace the URL + token with your real values.*

Retrieves the current status and results of a crew execution using its kickoff ID.

The response structure varies depending on the execution state:
- **running**: Execution in progress with current task info
- **completed**: Execution finished with full results
- **error**: Execution failed with error details


Get Execution Status

Name of the agent that executed this task

Time taken to execute this task in seconds

BearerAuth

Authentication failed - check your bearer token

Replace with your actual deployed crew URL from the CrewAI Enterprise dashboard

Example travel planning crew (replace with your URL)

Example content creation crew (replace with your URL)

Example research assistant crew (replace with your URL)

CrewAI

Build AI agent teams that work together to tackle complex tasks

Introduction

Get started with CrewAI - Install, configure, and build your first AI crew

Installation

Build your first AI agent with CrewAI in under 5 minutes.

Quickstart

Detailed guide on creating and managing agents within the CrewAI framework.

Agents

Detailed guide on managing and creating tasks within the CrewAI framework.

Tasks

Understanding and utilizing crews in the crewAI framework with comprehensive attributes and functionalities.

Crews

Learn how to create and manage AI workflows using CrewAI Flows.

Flows

What is knowledge in CrewAI and how to use it.

Knowledge

A comprehensive guide to configuring and using Large Language Models (LLMs) in your CrewAI projects

LLMs

Detailed guide on workflow management through processes in CrewAI, with updated implementation details.

Processes

How to enable agents to work together, delegate tasks, and communicate effectively within CrewAI teams.

Collaboration

Learn how to train your CrewAI agents by giving them feedback early on and get consistent results.

Training

Leveraging memory systems in the CrewAI framework to enhance agent capabilities.

Memory

Learn how to enable and use agent reasoning to improve task execution.

Reasoning

Learn how to add planning to your CrewAI Crew and improve their performance.

Planning

Learn how to test your CrewAI Crew and evaluate their performance.

Testing

Learn how to use the CrewAI CLI to interact with CrewAI.

Understanding and leveraging tools within the CrewAI framework for agent collaboration and task execution.

Tools

Tap into CrewAI events to build custom integrations and monitoring

Event Listeners

Learn how to integrate MCP servers as tools in your CrewAI agents using the `crewai-tools` library.

MCP Servers as Tools in CrewAI

Discover CrewAI's extensive library of 40+ tools to supercharge your AI agents

Tools Overview

Understanding and logging your agent performance with AgentOps.

AgentOps Integration

Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference

Arize Phoenix

Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit

Langfuse Integration

How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.

Langtrace Integration

Quickly start monitoring your Agents with MLflow.

MLflow Integration

Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.

OpenLIT Integration

Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.

Opik Integration

Portkey Integration

Learn how to use Weights & Biases (W&B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.

Weave Integration

Learn how to use conditional tasks in a crewAI kickoff

Conditional Tasks

Learn how to enable your CrewAI Agents to write and execute code, and explore advanced features for enhanced functionality.

Coding Agents

Comprehensive guide on crafting, using, and managing custom tools within the CrewAI framework, including new functionalities and error handling.

Create Custom Tools

Learn how to create custom LLM implementations in CrewAI.

Custom LLM Implementation

Learn how to set a custom agent as the manager in CrewAI, providing more control over task management and coordination.

Custom Manager Agent

A comprehensive guide to tailoring agents for specific roles, tasks, and advanced customizations within the CrewAI framework.

Customize Agents

Learn how to use DALL-E for AI-powered image generation in your CrewAI projects

Image Generation with DALL-E

Learn how to force tool output as the result in an Agent's task in CrewAI.

Force Tool Output as Result

A comprehensive guide to understanding and applying the hierarchical process within your CrewAI projects, updated to reflect the latest coding practices and functionalities.

Hierarchical Process

Learn how to implement Human-in-the-Loop workflows in CrewAI for enhanced decision-making

Human-in-the-Loop (HITL) Workflows

Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent's attributes and tools.

Human Input on Execution

Kickoff Crew Asynchronously

Kickoff Crew for Each

Comprehensive guide on integrating CrewAI with various Large Language Models (LLMs) using LiteLLM, including supported providers and configuration options.

Connect to any LLM

Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.

Using Multimodal Agents

Replay tasks from the latest crew.kickoff(...)

Replay Tasks from Latest Crew Kickoff

A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.

Sequential Processes

Learn how to use annotations to properly structure agents, tasks, and components in CrewAI

Using Annotations in crew.py

Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.

Telemetry

Deploy, monitor, and scale your AI agent workflows

CrewAI Enterprise

Using the Tool Repository to manage your tools

Tool Repository

Using Webhook Streaming to stream events to your webhook

Webhook Streaming

Traces

Prevent and detect AI hallucinations in your CrewAI tasks

Hallucination Guardrail

A Crew is a group of agents that work together to complete a task.

Build Crew

Deploy Crew

Kickoff Crew

Update Crew

Enabling Crew Studio on CrewAI Enterprise

Enable Crew Studio

Configure Azure OpenAI with Crew Studio for enterprise LLM connections

Azure OpenAI Setup

Trigger CrewAI crews directly from HubSpot Workflows

HubSpot Trigger

Learn how to export and integrate CrewAI Enterprise React components into your applications

React Component Export

Trigger CrewAI crews from Salesforce workflows for CRM automation

Salesforce Trigger

Trigger CrewAI crews directly from Slack using slash commands

Slack Trigger

Learn how to invite and manage team members in your CrewAI Enterprise organization

Team Management

Automate CrewAI Enterprise workflows using webhooks with platforms like ActivePieces, Zapier, and Make.com

Webhook Automation

Trigger CrewAI crews from Zapier workflows to automate cross-app workflows

Zapier Trigger

Frequently asked questions about CrewAI Enterprise

FAQs

Complete reference for the CrewAI Enterprise REST API

A collection of examples that show how to use CrewAI framework to automate workflows.

CrewAI Examples

View the latest updates and changes to CrewAI

Changelog

Learn how to assess your AI application needs and choose the right approach between Crews and Flows based on complexity and precision requirements.

Evaluating Use Cases for CrewAI

Learn best practices for designing powerful, specialized AI agents that collaborate effectively to solve complex problems.

Crafting Effective Agents

Step-by-step tutorial to create a collaborative AI team that works together to solve complex problems.

Build Your First Crew

Learn how to create structured, event-driven workflows with precise control over execution.

Build Your First Flow

A comprehensive guide to managing, persisting, and leveraging state in CrewAI Flows for building robust AI applications.

Mastering Flow State Management

Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.

Customizing Prompts

Learn how to use CrewAI's fingerprinting system to uniquely identify and track components throughout their lifecycle.

Fingerprinting

Exploring the dynamics of agent collaboration within the CrewAI framework, focusing on the newly integrated features for enhanced functionality.

Learn how to integrate LangChain tools with CrewAI agents to enhance search-based queries and more.

Using LangChain Tools

Learn how to integrate LlamaIndex tools with CrewAI agents to enhance search-based queries and more.

Using LlamaIndex Tools

Create Your Own Manager Agent

Agent Monitoring with AgentOps

Agent Monitoring with Langtrace

Agent Monitoring with MLflow

Agent Monitoring with OpenLIT

Agent Monitoring with Portkey

Agent Monitoring with Langfuse

The `AIMindTool` is designed to query data sources in natural language.

AI Mind Tool

`ApifyActorsTool` lets you call Apify Actors to provide your CrewAI workflows with web scraping, crawling, data extraction, and web automation capabilities.

Apify Actors

The `BraveSearchTool` is designed to search the internet using the Brave Search API.

Brave Search

Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.

Browserbase Web Loader

The `CodeDocsSearchTool` is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.

Code Docs RAG Search

The `CodeInterpreterTool` is a powerful tool designed for executing Python 3 code within a secure, isolated environment.

Code Interpreter

Composio provides 250+ production-ready tools for AI agents with flexible authentication management.

Composio Tool

The `CSVSearchTool` is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file's content.

CSV RAG Search

The `DallETool` is a powerful tool designed for generating images from textual descriptions.

DALL-E Tool

The `DirectorySearchTool` is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory's content.

Directory RAG Search

The `DirectoryReadTool` is a powerful utility designed to provide a comprehensive listing of directory contents.

Directory Read

The `DOCXSearchTool` is a RAG tool designed for semantic searching within DOCX documents.

DOCX RAG Search

The `EXASearchTool` is designed to perform a semantic search for a specified query from a text's content across the internet.

EXA Search Web Loader

The `FileReadTool` is designed to read files from the local file system.

File Read

The `FileWriterTool` is designed to write content to files.

File Write

The `FirecrawlCrawlWebsiteTool` is designed to crawl and convert websites into clean markdown or structured data.

Getting Started

Endpoints

Get Execution Status

Authorizations

Path Parameters

Response