mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-07-25 16:55:11 +00:00
b3aaaab023
Some checks are pending
Build uv cache / build-cache (3.10) (push) Waiting to run
Build uv cache / build-cache (3.11) (push) Waiting to run
Build uv cache / build-cache (3.12) (push) Waiting to run
Build uv cache / build-cache (3.13) (push) Waiting to run
CodeQL Advanced / Analyze (actions) (push) Waiting to run
CodeQL Advanced / Analyze (python) (push) Waiting to run
Check Documentation Broken Links / Check broken links (push) Waiting to run
Vulnerability Scan / pip-audit (push) Waiting to run
50 lines
2.6 KiB
Plaintext
50 lines
2.6 KiB
Plaintext
---
|
|
title: Testing
|
|
description: Learn how to test your CrewAI Crew and evaluate their performance.
|
|
icon: vial
|
|
mode: "wide"
|
|
---
|
|
|
|
## Overview
|
|
|
|
Testing is a crucial part of the development process, and it is essential to ensure that your crew is performing as expected. With crewAI, you can easily test your crew and evaluate its performance using the built-in testing capabilities.
|
|
|
|
### Using the Testing Feature
|
|
|
|
We added the CLI command `crewai test` to make it easy to test your crew. This command will run your crew for a specified number of iterations and provide detailed performance metrics. The parameters are `n_iterations` and `model`, which are optional and default to 2 and `gpt-4o-mini` respectively. For now, the only provider available is OpenAI.
|
|
|
|
```bash
|
|
crewai test
|
|
```
|
|
|
|
If you want to run more iterations or use a different model, you can specify the parameters like this:
|
|
|
|
```bash
|
|
crewai test --n_iterations 5 --model gpt-4o
|
|
```
|
|
|
|
or using the short forms:
|
|
|
|
```bash
|
|
crewai test -n 5 -m gpt-4o
|
|
```
|
|
|
|
When you run the `crewai test` command, the crew will be executed for the specified number of iterations, and the performance metrics will be displayed at the end of the run.
|
|
|
|
A table of scores at the end will show the performance of the crew in terms of the following metrics:
|
|
|
|
<center>**Tasks Scores (1-10 Higher is better)**</center>
|
|
|
|
| Tasks/Crew/Agents | Run 1 | Run 2 | Avg. Total | Agents | Additional Info |
|
|
|:------------------|:-----:|:-----:|:----------:|:------------------------------:|:---------------------------------|
|
|
| Task 1 | 9.0 | 9.5 | **9.2** | Professional Insights | |
|
|
| | | | | Researcher | |
|
|
| Task 2 | 9.0 | 10.0 | **9.5** | Company Profile Investigator | |
|
|
| Task 3 | 9.0 | 9.0 | **9.0** | Automation Insights | |
|
|
| | | | | Specialist | |
|
|
| Task 4 | 9.0 | 9.0 | **9.0** | Final Report Compiler | Automation Insights Specialist |
|
|
| Crew | 9.00 | 9.38 | **9.2** | | |
|
|
| Execution Time (s) | 126 | 145 | **135** | | |
|
|
|
|
The example above shows the test results for two runs of the crew with two tasks, with the average total score for each task and the crew as a whole.
|