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31 Commits

Author SHA1 Message Date
Brandon Hancock
e6e2944454 add in 2 small improvements based on joao feedback 2024-08-28 16:43:14 -04:00
Eduardo Chiarotti
f777c1c2e0 fix: All files pre commit (#1249) 2024-08-23 10:52:36 -03:00
Paul Nugent
782ce22d99 Update LLM-Connections.md (#1190)
Added missing quotes around os.environ

Co-authored-by: Eduardo Chiarotti <dudumelgaco@hotmail.com>
2024-08-23 10:39:06 -03:00
Eduardo Chiarotti
f5246039e5 Feat/cli deploy (#1240)
* feat: set basic structure deploy commands

* feat: add first iteration of CLI Deploy

* feat: some minor refactor

* feat: Add api, Deploy command and update cli

* feat: Remove test token

* feat: add auth0 lib, update cli and improve code

* feat: update code and decouple auth

* fix: parts of the code

* feat: Add token manager to encrypt access token and get and save tokens

* feat: add audience to costants

* feat: add subsystem saving credentials and remove comment of type hinting

* feat: add get crew version to send on header of request

* feat: add docstrings

* feat: add tests for authentication module

* feat: add tests for utils

* feat: add unit tests for cl

* feat: add tests

* feat: add deploy man tests

* feat: fix type checking issue

* feat: rename tests to pass ci

* feat: fix pr issues

* feat: fix get crewai versoin

* fix: add timeout for tests.yml
2024-08-23 10:20:03 -03:00
Rip&Tear
4736604b4d Merge pull request #1239 from ShuHuang/patch-1
Bugfix: Update LLM-Connections.md
2024-08-23 09:49:46 +08:00
Shu Huang
09cba0135e Bugfix: Update LLM-Connections.md
The original code doesn't work due to a comma
2024-08-22 14:39:15 +01:00
Brandon Hancock (bhancock_ai)
8119edb495 Brandon/cre 211 fix agent and task config for yaml based projects (#1211)
* Fixed agents. Now need to fix tasks.

* Add type fixes and fix task decorator

* Clean up logs

* fix more type errors

* Revert back to required

* Undo changes.

* Remove default none for properties that cannot be none

* Clean up comments

* Implement all of Guis feedback
2024-08-20 09:31:02 -04:00
William Espegren
17bffb0803 docs: add spider docs (#1165)
* docs: add spider docs

* chore: add "Spider scraper" to mkdocs.yml
2024-08-20 07:53:04 -03:00
Rip&Tear
cbe139fced Merge pull request #1216 from theCyberTech/main 2024-08-20 18:32:04 +08:00
Eduardo Chiarotti
946d8567fe feat: Add only on release to deploy docs (#1212) 2024-08-20 07:26:50 -03:00
Rip&Tear
7b5d5bdeef Merge pull request #2 from theCyberTech/theCyberTech-operations-per-run
Update operations-per-run in stale.yml
2024-08-20 12:54:55 +08:00
Rip&Tear
a1551bcf2b Update operations-per-run in stale.yml
operations-per-run: 1200

this will allow for complete cleanup of all exiting issues
2024-08-20 12:54:26 +08:00
Rip&Tear
5495825b1d Merge pull request #1206 from theCyberTech/main
Create Cli.md
2024-08-17 21:51:13 +08:00
Rip&Tear
6e36f84cc6 Update Cli.md 2024-08-17 20:55:46 +08:00
Rip&Tear
cddf2d8f7c Create Cli.md
Added initial Cli.md to help users get info on Cli commands
2024-08-17 20:06:31 +08:00
Rip&Tear
5f17e35c5a Merge pull request #1205 from theCyberTech/theCyberTech-stale-fix
Update stale.yml
2024-08-17 20:00:43 +08:00
Eduardo Chiarotti
231a833ad0 feat: Add crewai install CLI command (#1203)
* feat: Add crewai install CLI command

* feat: Add crewai install to the docs and force now crewai run
2024-08-17 08:41:53 -03:00
Rip&Tear
a870295d42 Update stale.yml
Added  
operations-per-run: 500
2024-08-17 19:16:31 +08:00
Rip&Tear
ddda8f6bda Merge pull request #1194 from crewAIInc/docs_update
Updated Documentation to fix minor issues + minor .github fixes
2024-08-17 08:14:17 +08:00
Brandon Hancock (bhancock_ai)
bf7372fefa Adding Autocomplete to OSS (#1198)
* Cleaned up model_config

* Fix pydantic issues

* 99% done with autocomplete

* fixed test issues

* Fix type checking issues
2024-08-16 15:04:21 -04:00
Brandon Hancock (bhancock_ai)
3451b6fc7a Clean up pipeline (#1187)
* Clean up pipeline

* Make versioning dynamic in templates

* fix .env issues when openai is trying to use invalid keys

* Fix type checker issue in pipeline

* Fix tests.
2024-08-16 14:47:28 -04:00
Vini Brasil
dbf2570353 Add name and expected_output to TaskOutput (#1199)
* Add name and expected_output to TaskOutput

This commit adds task information to the TaskOutput class. This is
useful to provide extra context to callbacks.

* Populate task name from function names

This commit populates task name from function names when using
annotations.
2024-08-15 22:24:41 +01:00
Eduardo Chiarotti
d0707fac91 feat: Add bandit ci pipeline (#1200)
* feat: Add bandit ci pipeline

* feat: add useforsecurty false for bandit pipeline

* feat: Add report only for High severity issues
2024-08-15 18:19:57 -03:00
theCyberTech
35ebdd6022 Updated Documentaion to fix navigation link for pipelin feature, removed legacy md fiel from .github & added missing config.yml config to remove custom issues from user access 2024-08-15 16:35:05 +08:00
Rip&Tear
92a77e5cac Merge pull request #1183 from crewAIInc/feature-templates
Feature templates
2024-08-15 11:29:36 +08:00
Rip&Tear
a2922c9ad5 Merge pull request #1182 from crewAIInc/git-temaplates
updated bug report template to yml for more control
2024-08-15 11:28:31 +08:00
Eduardo Chiarotti
9f9b52dd26 fix: Fix planning_llm issue (#1189)
* fix: Fix planning_llm issue

* fix: add poetry.lock updated version

* fix: type checking issues

* fix: tests
2024-08-14 18:54:53 -03:00
theCyberTech
2482c7ab68 Addded feature request template in YAML format
Added config .yml to remove blank template
2024-08-14 15:49:55 +08:00
theCyberTech
7fdabda97e updated bug report template to yml for more control 2024-08-14 15:08:59 +08:00
Eduardo Chiarotti
7306414de7 docs: fix references to annotations (#1176) 2024-08-13 12:58:12 -03:00
Eduardo Chiarotti
97d7bfb52a docs: Update Dalle, FileWrite, Nl2Sql and Side menu Tools (#1175)
* docs: Update Dalle, FileWrite, Nl2Sql and Side menu Tools

* docs: remove unused phrase

* docs: fix identation
2024-08-13 12:29:34 -03:00
78 changed files with 2605 additions and 483 deletions

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@@ -1,35 +0,0 @@
---
name: Bug report
about: Create a report to help us improve CrewAI
title: "[BUG]"
labels: bug
assignees: ''
---
**Description**
Provide a clear and concise description of what the bug is.
**Steps to Reproduce**
Provide a step-by-step process to reproduce the behavior:
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots/Code snippets**
If applicable, add screenshots or code snippets to help explain your problem.
**Environment Details:**
- **Operating System**: [e.g., Ubuntu 20.04, macOS Catalina, Windows 10]
- **Python Version**: [e.g., 3.8, 3.9, 3.10]
- **crewAI Version**: [e.g., 0.30.11]
- **crewAI Tools Version**: [e.g., 0.2.6]
**Logs**
Include relevant logs or error messages if applicable.
**Possible Solution**
Have a solution in mind? Please suggest it here, or write "None".
**Additional context**
Add any other context about the problem here.

116
.github/ISSUE_TEMPLATE/bug_report.yml vendored Normal file
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@@ -0,0 +1,116 @@
name: Bug report
description: Create a report to help us improve CrewAI
title: "[BUG]"
labels: ["bug"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Description
description: Provide a clear and concise description of what the bug is.
validations:
required: true
- type: textarea
id: steps-to-reproduce
attributes:
label: Steps to Reproduce
description: Provide a step-by-step process to reproduce the behavior.
placeholder: |
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
validations:
required: true
- type: textarea
id: expected-behavior
attributes:
label: Expected behavior
description: A clear and concise description of what you expected to happen.
validations:
required: true
- type: textarea
id: screenshots-code
attributes:
label: Screenshots/Code snippets
description: If applicable, add screenshots or code snippets to help explain your problem.
validations:
required: true
- type: dropdown
id: os
attributes:
label: Operating System
description: Select the operating system you're using
options:
- Ubuntu 20.04
- Ubuntu 22.04
- Ubuntu 24.04
- macOS Catalina
- macOS Big Sur
- macOS Monterey
- macOS Ventura
- macOS Sonoma
- Windows 10
- Windows 11
- Other (specify in additional context)
validations:
required: true
- type: dropdown
id: python-version
attributes:
label: Python Version
description: Version of Python your Crew is running on
options:
- '3.10'
- '3.11'
- '3.12'
- '3.13'
validations:
required: true
- type: input
id: crewai-version
attributes:
label: crewAI Version
description: What version of CrewAI are you using
validations:
required: true
- type: input
id: crewai-tools-version
attributes:
label: crewAI Tools Version
description: What version of CrewAI Tools are you using
validations:
required: true
- type: dropdown
id: virtual-environment
attributes:
label: Virtual Environment
description: What Virtual Environment are you running your crew in.
options:
- Venv
- Conda
- Poetry
validations:
required: true
- type: textarea
id: evidence
attributes:
label: Evidence
description: Include relevant information, logs or error messages. These can be screenshots.
validations:
required: true
- type: textarea
id: possible-solution
attributes:
label: Possible Solution
description: Have a solution in mind? Please suggest it here, or write "None".
validations:
required: true
- type: textarea
id: additional-context
attributes:
label: Additional context
description: Add any other context about the problem here.
validations:
required: true

1
.github/ISSUE_TEMPLATE/config.yml vendored Normal file
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@@ -0,0 +1 @@
blank_issues_enabled: false

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@@ -1,24 +0,0 @@
---
name: Custom issue template
about: Describe this issue template's purpose here.
title: "[DOCS]"
labels: documentation
assignees: ''
---
## Documentation Page
<!-- Provide a link to the documentation page that needs improvement -->
## Description
<!-- Describe what needs to be changed or improved in the documentation -->
## Suggested Changes
<!-- If possible, provide specific suggestions for how to improve the documentation -->
## Additional Context
<!-- Add any other context about the documentation issue here -->
## Checklist
- [ ] I have searched the existing issues to make sure this is not a duplicate
- [ ] I have checked the latest version of the documentation to ensure this hasn't been addressed

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@@ -0,0 +1,65 @@
name: Feature request
description: Suggest a new feature for CrewAI
title: "[FEATURE]"
labels: ["feature-request"]
assignees: []
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill out this feature request!
- type: dropdown
id: feature-area
attributes:
label: Feature Area
description: Which area of CrewAI does this feature primarily relate to?
options:
- Core functionality
- Agent capabilities
- Task management
- Integration with external tools
- Performance optimization
- Documentation
- Other (please specify in additional context)
validations:
required: true
- type: textarea
id: problem
attributes:
label: Is your feature request related to a an existing bug? Please link it here.
description: A link to the bug or NA if not related to an existing bug.
validations:
required: true
- type: textarea
id: solution
attributes:
label: Describe the solution you'd like
description: A clear and concise description of what you want to happen.
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Describe alternatives you've considered
description: A clear and concise description of any alternative solutions or features you've considered.
validations:
required: false
- type: textarea
id: context
attributes:
label: Additional context
description: Add any other context, screenshots, or examples about the feature request here.
validations:
required: false
- type: dropdown
id: willingness-to-contribute
attributes:
label: Willingness to Contribute
description: Would you be willing to contribute to the implementation of this feature?
options:
- Yes, I'd be happy to submit a pull request
- I could provide more detailed specifications
- I can test the feature once it's implemented
- No, I'm just suggesting the idea
validations:
required: true

View File

@@ -1,10 +1,8 @@
name: Deploy MkDocs
on:
workflow_dispatch:
push:
branches:
- main
release:
types: [published]
permissions:
contents: write

23
.github/workflows/security-checker.yml vendored Normal file
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@@ -0,0 +1,23 @@
name: Security Checker
on: [pull_request]
jobs:
security-check:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.11.9"
- name: Install dependencies
run: pip install bandit
- name: Run Bandit
run: bandit -c pyproject.toml -r src/ -lll

View File

@@ -24,3 +24,4 @@ jobs:
stale-pr-message: 'This PR is stale because it has been open for 45 days with no activity.'
days-before-pr-stale: 45
days-before-pr-close: -1
operations-per-run: 1200

View File

@@ -11,6 +11,7 @@ env:
jobs:
deploy:
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- name: Checkout code

142
docs/core-concepts/Cli.md Normal file
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@@ -0,0 +1,142 @@
# CrewAI CLI Documentation
The CrewAI CLI provides a set of commands to interact with CrewAI, allowing you to create, train, run, and manage crews and pipelines.
## Installation
To use the CrewAI CLI, make sure you have CrewAI & Poetry installed:
```
pip install crewai poetry
```
## Basic Usage
The basic structure of a CrewAI CLI command is:
```
crewai [COMMAND] [OPTIONS] [ARGUMENTS]
```
## Available Commands
### 1. create
Create a new crew or pipeline.
```
crewai create [OPTIONS] TYPE NAME
```
- `TYPE`: Choose between "crew" or "pipeline"
- `NAME`: Name of the crew or pipeline
- `--router`: (Optional) Create a pipeline with router functionality
Example:
```
crewai create crew my_new_crew
crewai create pipeline my_new_pipeline --router
```
### 2. version
Show the installed version of CrewAI.
```
crewai version [OPTIONS]
```
- `--tools`: (Optional) Show the installed version of CrewAI tools
Example:
```
crewai version
crewai version --tools
```
### 3. train
Train the crew for a specified number of iterations.
```
crewai train [OPTIONS]
```
- `-n, --n_iterations INTEGER`: Number of iterations to train the crew (default: 5)
- `-f, --filename TEXT`: Path to a custom file for training (default: "trained_agents_data.pkl")
Example:
```
crewai train -n 10 -f my_training_data.pkl
```
### 4. replay
Replay the crew execution from a specific task.
```
crewai replay [OPTIONS]
```
- `-t, --task_id TEXT`: Replay the crew from this task ID, including all subsequent tasks
Example:
```
crewai replay -t task_123456
```
### 5. log_tasks_outputs
Retrieve your latest crew.kickoff() task outputs.
```
crewai log_tasks_outputs
```
### 6. reset_memories
Reset the crew memories (long, short, entity, latest_crew_kickoff_outputs).
```
crewai reset_memories [OPTIONS]
```
- `-l, --long`: Reset LONG TERM memory
- `-s, --short`: Reset SHORT TERM memory
- `-e, --entities`: Reset ENTITIES memory
- `-k, --kickoff-outputs`: Reset LATEST KICKOFF TASK OUTPUTS
- `-a, --all`: Reset ALL memories
Example:
```
crewai reset_memories --long --short
crewai reset_memories --all
```
### 7. test
Test the crew and evaluate the results.
```
crewai test [OPTIONS]
```
- `-n, --n_iterations INTEGER`: Number of iterations to test the crew (default: 3)
- `-m, --model TEXT`: LLM Model to run the tests on the Crew (default: "gpt-4o-mini")
Example:
```
crewai test -n 5 -m gpt-3.5-turbo
```
### 8. run
Run the crew.
```
crewai run
```
## Note
Make sure to run these commands from the directory where your CrewAI project is set up. Some commands may require additional configuration or setup within your project structure.

View File

@@ -32,8 +32,8 @@ Each input creates its own run, flowing through all stages of the pipeline. Mult
## Pipeline Attributes
| Attribute | Parameters | Description |
| :--------- | :--------- | :------------------------------------------------------------------------------------ |
| Attribute | Parameters | Description |
| :--------- | :--------- | :---------------------------------------------------------------------------------------------- |
| **Stages** | `stages` | A list of crews, lists of crews, or routers representing the stages to be executed in sequence. |
## Creating a Pipeline
@@ -239,7 +239,7 @@ email_router = Router(
pipeline=normal_pipeline
)
},
default=Pipeline(stages=[normal_pipeline]) # Default to just classification if no urgency score
default=Pipeline(stages=[normal_pipeline]) # Default to just normal if no urgency score
)
# Use the router in a main pipeline

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@@ -0,0 +1,129 @@
# Creating a CrewAI Pipeline Project
Welcome to the comprehensive guide for creating a new CrewAI pipeline project. This document will walk you through the steps to create, customize, and run your CrewAI pipeline project, ensuring you have everything you need to get started.
To learn more about CrewAI pipelines, visit the [CrewAI documentation](https://docs.crewai.com/core-concepts/Pipeline/).
## Prerequisites
Before getting started with CrewAI pipelines, make sure that you have installed CrewAI via pip:
```shell
$ pip install crewai crewai-tools
```
The same prerequisites for virtual environments and Code IDEs apply as in regular CrewAI projects.
## Creating a New Pipeline Project
To create a new CrewAI pipeline project, you have two options:
1. For a basic pipeline template:
```shell
$ crewai create pipeline <project_name>
```
2. For a pipeline example that includes a router:
```shell
$ crewai create pipeline --router <project_name>
```
These commands will create a new project folder with the following structure:
```
<project_name>/
├── README.md
├── poetry.lock
├── pyproject.toml
├── src/
│ └── <project_name>/
│ ├── __init__.py
│ ├── main.py
│ ├── crews/
│ │ ├── crew1/
│ │ │ ├── crew1.py
│ │ │ └── config/
│ │ │ ├── agents.yaml
│ │ │ └── tasks.yaml
│ │ ├── crew2/
│ │ │ ├── crew2.py
│ │ │ └── config/
│ │ │ ├── agents.yaml
│ │ │ └── tasks.yaml
│ ├── pipelines/
│ │ ├── __init__.py
│ │ ├── pipeline1.py
│ │ └── pipeline2.py
│ └── tools/
│ ├── __init__.py
│ └── custom_tool.py
└── tests/
```
## Customizing Your Pipeline Project
To customize your pipeline project, you can:
1. Modify the crew files in `src/<project_name>/crews/` to define your agents and tasks for each crew.
2. Modify the pipeline files in `src/<project_name>/pipelines/` to define your pipeline structure.
3. Modify `src/<project_name>/main.py` to set up and run your pipelines.
4. Add your environment variables into the `.env` file.
### Example: Defining a Pipeline
Here's an example of how to define a pipeline in `src/<project_name>/pipelines/normal_pipeline.py`:
```python
from crewai import Pipeline
from crewai.project import PipelineBase
from ..crews.normal_crew import NormalCrew
@PipelineBase
class NormalPipeline:
def __init__(self):
# Initialize crews
self.normal_crew = NormalCrew().crew()
def create_pipeline(self):
return Pipeline(
stages=[
self.normal_crew
]
)
async def kickoff(self, inputs):
pipeline = self.create_pipeline()
results = await pipeline.kickoff(inputs)
return results
```
### Annotations
The main annotation you'll use for pipelines is `@PipelineBase`. This annotation is used to decorate your pipeline classes, similar to how `@CrewBase` is used for crews.
## Installing Dependencies
To install the dependencies for your project, use Poetry:
```shell
$ cd <project_name>
$ crewai install
```
## Running Your Pipeline Project
To run your pipeline project, use the following command:
```shell
$ crewai run
```
This will initialize your pipeline and begin task execution as defined in your `main.py` file.
## Deploying Your Pipeline Project
Pipelines can be deployed in the same way as regular CrewAI projects. The easiest way is through [CrewAI+](https://www.crewai.com/crewaiplus), where you can deploy your pipeline in a few clicks.
Remember, when working with pipelines, you're orchestrating multiple crews to work together in a sequence or parallel fashion. This allows for more complex workflows and information processing tasks.

View File

@@ -154,15 +154,15 @@ email_summarizer_task:
Use the annotations to properly reference the agent and task in the crew.py file.
### Annotations include:
* @agent
* @task
* @crew
* @llm
* @tool
* @callback
* @output_json
* @output_pydantic
* @cache_handler
* [@agent](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L17)
* [@task](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L4)
* [@crew](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L69)
* [@llm](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L23)
* [@tool](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L39)
* [@callback](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L44)
* [@output_json](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L29)
* [@output_pydantic](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L34)
* [@cache_handler](https://github.com/crewAIInc/crewAI/blob/97d7bfb52ad49a9f04db360e1b6612d98c91971e/src/crewai/project/annotations.py#L49)
crew.py
```py
@@ -191,8 +191,7 @@ To install the dependencies for your project, you can use Poetry. First, navigat
```shell
$ cd my_project
$ poetry lock
$ poetry install
$ crewai install
```
This will install the dependencies specified in the `pyproject.toml` file.
@@ -233,11 +232,6 @@ To run your project, use the following command:
```shell
$ crewai run
```
or
```shell
$ poetry run my_project
```
This will initialize your crew of AI agents and begin task execution as defined in your configuration in the `main.py` file.
### Replay Tasks from Latest Crew Kickoff

View File

@@ -88,7 +88,7 @@ There are a couple of different ways you can use HuggingFace to host your LLM.
### Your own HuggingFace endpoint
```python
from langchain_huggingface import HuggingFaceEndpoint,
from langchain_huggingface import HuggingFaceEndpoint
llm = HuggingFaceEndpoint(
repo_id="microsoft/Phi-3-mini-4k-instruct",
@@ -112,30 +112,30 @@ Switch between APIs and models seamlessly using environment variables, supportin
### Configuration Examples
#### FastChat
```sh
os.environ[OPENAI_API_BASE]="http://localhost:8001/v1"
os.environ[OPENAI_MODEL_NAME]='oh-2.5m7b-q51'
os.environ[OPENAI_API_KEY]=NA
os.environ["OPENAI_API_BASE"]='http://localhost:8001/v1'
os.environ["OPENAI_MODEL_NAME"]='oh-2.5m7b-q51'
os.environ[OPENAI_API_KEY]='NA'
```
#### LM Studio
Launch [LM Studio](https://lmstudio.ai) and go to the Server tab. Then select a model from the dropdown menu and wait for it to load. Once it's loaded, click the green Start Server button and use the URL, port, and API key that's shown (you can modify them). Below is an example of the default settings as of LM Studio 0.2.19:
```sh
os.environ[OPENAI_API_BASE]="http://localhost:1234/v1"
os.environ[OPENAI_API_KEY]="lm-studio"
os.environ["OPENAI_API_BASE"]='http://localhost:1234/v1'
os.environ["OPENAI_API_KEY"]='lm-studio'
```
#### Groq API
```sh
os.environ[OPENAI_API_KEY]=your-groq-api-key
os.environ[OPENAI_MODEL_NAME]='llama3-8b-8192'
os.environ[OPENAI_API_BASE]=https://api.groq.com/openai/v1
os.environ["OPENAI_API_KEY"]='your-groq-api-key'
os.environ["OPENAI_MODEL_NAME"]='llama3-8b-8192'
os.environ["OPENAI_API_BASE"]='https://api.groq.com/openai/v1'
```
#### Mistral API
```sh
os.environ[OPENAI_API_KEY]=your-mistral-api-key
os.environ[OPENAI_API_BASE]=https://api.mistral.ai/v1
os.environ[OPENAI_MODEL_NAME]="mistral-small"
os.environ["OPENAI_API_KEY"]='your-mistral-api-key'
os.environ["OPENAI_API_BASE"]='https://api.mistral.ai/v1'
os.environ["OPENAI_MODEL_NAME"]='mistral-small'
```
### Solar
@@ -143,8 +143,8 @@ os.environ[OPENAI_MODEL_NAME]="mistral-small"
from langchain_community.chat_models.solar import SolarChat
```
```sh
os.environ[SOLAR_API_BASE]="https://api.upstage.ai/v1/solar"
os.environ[SOLAR_API_KEY]="your-solar-api-key"
os.environ["SOLAR_API_BASE"]='https://api.upstage.ai/v1/solar'
os.environ["SOLAR_API_KEY"]='your-solar-api-key'
```
# Free developer API key available here: https://console.upstage.ai/services/solar
@@ -155,7 +155,7 @@ os.environ[SOLAR_API_KEY]="your-solar-api-key"
```python
from langchain_cohere import ChatCohere
# Initialize language model
os.environ["COHERE_API_KEY"] = "your-cohere-api-key"
os.environ["COHERE_API_KEY"]='your-cohere-api-key'
llm = ChatCohere()
# Free developer API key available here: https://cohere.com/
@@ -166,10 +166,10 @@ llm = ChatCohere()
For Azure OpenAI API integration, set the following environment variables:
```sh
os.environ[AZURE_OPENAI_DEPLOYMENT] = "Your deployment"
os.environ["OPENAI_API_VERSION"] = "2023-12-01-preview"
os.environ["AZURE_OPENAI_ENDPOINT"] = "Your Endpoint"
os.environ["AZURE_OPENAI_API_KEY"] = "<Your API Key>"
os.environ["AZURE_OPENAI_DEPLOYMENT"]='Your deployment'
os.environ["OPENAI_API_VERSION"]='2023-12-01-preview'
os.environ["AZURE_OPENAI_ENDPOINT"]='Your Endpoint'
os.environ["AZURE_OPENAI_API_KEY"]='Your API Key'
```
### Example Agent with Azure LLM
@@ -194,4 +194,4 @@ azure_agent = Agent(
```
## Conclusion
Integrating CrewAI with different LLMs expands the framework's versatility, allowing for customized, efficient AI solutions across various domains and platforms.
Integrating CrewAI with different LLMs expands the framework's versatility, allowing for customized, efficient AI solutions across various domains and platforms.

View File

@@ -8,13 +8,20 @@ Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By
<div style="width:25%">
<h2>Getting Started</h2>
<ul>
<li><a href='./getting-started/Installing-CrewAI'>
<li>
<a href='./getting-started/Installing-CrewAI'>
Installing CrewAI
</a>
</a>
</li>
<li><a href='./getting-started/Start-a-New-CrewAI-Project-Template-Method'>
<li>
<a href='./getting-started/Start-a-New-CrewAI-Project-Template-Method'>
Start a New CrewAI Project: Template Method
</a>
</a>
</li>
<li>
<a href='./getting-started/Create-a-New-CrewAI-Pipeline-Template-Method'>
Create a New CrewAI Pipeline: Template Method
</a>
</li>
</ul>
</div>

View File

@@ -27,10 +27,10 @@ If needed you can also tweak the parameters of the DALL-E model by passing them
```python
from crewai_tools import DallETool
dalle_tool = DallETool(model: str = "dall-e-3",
size: str = "1024x1024",
quality: str = "standard",
n: int = 1)
dalle_tool = DallETool(model="dall-e-3",
size="1024x1024",
quality="standard",
n=1)
Agent(
...
@@ -38,4 +38,4 @@ Agent(
)
```
The parameter are based on the `client.images.generate` method from the OpenAI API. For more information on the parameters, please refer to the [OpenAI API documentation](https://platform.openai.com/docs/guides/images/introduction?lang=python).
The parameters are based on the `client.images.generate` method from the OpenAI API. For more information on the parameters, please refer to the [OpenAI API documentation](https://platform.openai.com/docs/guides/images/introduction?lang=python).

View File

@@ -0,0 +1,33 @@
# FileWriterTool Documentation
## Description
The `FileWriterTool` is a component of the crewai_tools package, designed to simplify the process of writing content to files. It is particularly useful in scenarios such as generating reports, saving logs, creating configuration files, and more. This tool supports creating new directories if they don't exist, making it easier to organize your output.
## Installation
Install the crewai_tools package to use the `FileWriterTool` in your projects:
```shell
pip install 'crewai[tools]'
```
## Example
To get started with the `FileWriterTool`:
```python
from crewai_tools import FileWriterTool
# Initialize the tool
file_writer_tool = FileWriterTool()
# Write content to a file in a specified directory
result = file_writer_tool._run('example.txt', 'This is a test content.', 'test_directory')
print(result)
```
## Arguments
- `filename`: The name of the file you want to create or overwrite.
- `content`: The content to write into the file.
- `directory` (optional): The path to the directory where the file will be created. Defaults to the current directory (`.`). If the directory does not exist, it will be created.
## Conclusion
By integrating the `FileWriterTool` into your crews, the agents can execute the process of writing content to files and creating directories. This tool is essential for tasks that require saving output data, creating structured file systems, and more. By adhering to the setup and usage guidelines provided, incorporating this tool into projects is straightforward and efficient.

View File

@@ -47,8 +47,8 @@ The primary task goal was:
So the Agent tried to get information from the DB, the first one is wrong so the Agent tries again and gets the correct information and passes to the next agent.
![alt text](images/image-2.png)
![alt text](images/image-3.png)
![alt text](https://github.com/crewAIInc/crewAI-tools/blob/main/crewai_tools/tools/nl2sql/images/image-2.png?raw=true)
![alt text](https://github.com/crewAIInc/crewAI-tools/raw/main/crewai_tools/tools/nl2sql/images/image-3.png)
The second task goal was:
@@ -58,11 +58,11 @@ Include information on the average, maximum, and minimum monthly revenue for eac
Now things start to get interesting, the Agent generates the SQL query to not only create the table but also insert the data into the table. And in the end the Agent still returns the final report which is exactly what was in the database.
![alt text](images/image-4.png)
![alt text](images/image-5.png)
![alt text](https://github.com/crewAIInc/crewAI-tools/raw/main/crewai_tools/tools/nl2sql/images/image-4.png)
![alt text](https://github.com/crewAIInc/crewAI-tools/raw/main/crewai_tools/tools/nl2sql/images/image-5.png)
![alt text](images/image-9.png)
![alt text](images/image-7.png)
![alt text](https://github.com/crewAIInc/crewAI-tools/raw/main/crewai_tools/tools/nl2sql/images/image-9.png)
![alt text](https://github.com/crewAIInc/crewAI-tools/raw/main/crewai_tools/tools/nl2sql/images/image-7.png)
This is a simple example of how the NL2SQLTool can be used to interact with the database and generate reports based on the data in the database.

81
docs/tools/SpiderTool.md Normal file
View File

@@ -0,0 +1,81 @@
# SpiderTool
## Description
[Spider](https://spider.cloud/?ref=crewai) is the [fastest](https://github.com/spider-rs/spider/blob/main/benches/BENCHMARKS.md#benchmark-results) open source scraper and crawler that returns LLM-ready data. It converts any website into pure HTML, markdown, metadata or text while enabling you to crawl with custom actions using AI.
## Installation
To use the Spider API you need to download the [Spider SDK](https://pypi.org/project/spider-client/) and the crewai[tools] SDK too:
```python
pip install spider-client 'crewai[tools]'
```
## Example
This example shows you how you can use the Spider tool to enable your agent to scrape and crawl websites. The data returned from the Spider API is already LLM-ready, so no need to do any cleaning there.
```python
from crewai_tools import SpiderTool
def main():
spider_tool = SpiderTool()
searcher = Agent(
role="Web Research Expert",
goal="Find related information from specific URL's",
backstory="An expert web researcher that uses the web extremely well",
tools=[spider_tool],
verbose=True,
)
return_metadata = Task(
description="Scrape https://spider.cloud with a limit of 1 and enable metadata",
expected_output="Metadata and 10 word summary of spider.cloud",
agent=searcher
)
crew = Crew(
agents=[searcher],
tasks=[
return_metadata,
],
verbose=2
)
crew.kickoff()
if __name__ == "__main__":
main()
```
## Arguments
- `api_key` (string, optional): Specifies Spider API key. If not specified, it looks for `SPIDER_API_KEY` in environment variables.
- `params` (object, optional): Optional parameters for the request. Defaults to `{"return_format": "markdown"}` to return the website's content in a format that fits LLMs better.
- `request` (string): The request type to perform. Possible values are `http`, `chrome`, and `smart`. Use `smart` to perform an HTTP request by default until JavaScript rendering is needed for the HTML.
- `limit` (int): The maximum number of pages allowed to crawl per website. Remove the value or set it to `0` to crawl all pages.
- `depth` (int): The crawl limit for maximum depth. If `0`, no limit will be applied.
- `cache` (bool): Use HTTP caching for the crawl to speed up repeated runs. Default is `true`.
- `budget` (object): Object that has paths with a counter for limiting the amount of pages example `{"*":1}` for only crawling the root page.
- `locale` (string): The locale to use for request, example `en-US`.
- `cookies` (string): Add HTTP cookies to use for request.
- `stealth` (bool): Use stealth mode for headless chrome request to help prevent being blocked. The default is `true` on chrome.
- `headers` (object): Forward HTTP headers to use for all request. The object is expected to be a map of key value pairs.
- `metadata` (bool): Boolean to store metadata about the pages and content found. This could help improve AI interopt. Defaults to `false` unless you have the website already stored with the configuration enabled.
- `viewport` (object): Configure the viewport for chrome. Defaults to `800x600`.
- `encoding` (string): The type of encoding to use like `UTF-8`, `SHIFT_JIS`, or etc.
- `subdomains` (bool): Allow subdomains to be included. Default is `false`.
- `user_agent` (string): Add a custom HTTP user agent to the request. By default this is set to a random agent.
- `store_data` (bool): Boolean to determine if storage should be used. If set this takes precedence over `storageless`. Defaults to `false`.
- `gpt_config` (object): Use AI to generate actions to perform during the crawl. You can pass an array for the `"prompt"` to chain steps.
- `fingerprint` (bool): Use advanced fingerprint for chrome.
- `storageless` (bool): Boolean to prevent storing any type of data for the request including storage and AI vectors embedding. Defaults to `false` unless you have the website already stored.
- `readability` (bool): Use [readability](https://github.com/mozilla/readability) to pre-process the content for reading. This may drastically improve the content for LLM usage.
`return_format` (string): The format to return the data in. Possible values are `markdown`, `raw`, `text`, and `html2text`. Use `raw` to return the default format of the page like HTML etc.
- `proxy_enabled` (bool): Enable high performance premium proxies for the request to prevent being blocked at the network level.
- `query_selector` (string): The CSS query selector to use when extracting content from the markup.
- `full_resources` (bool): Crawl and download all the resources for a website.
- `request_timeout` (int): The timeout to use for request. Timeouts can be from `5-60`. The default is `30` seconds.
- `run_in_background` (bool): Run the request in the background. Useful if storing data and wanting to trigger crawls to the dashboard. This has no effect if storageless is set.

View File

@@ -129,6 +129,7 @@ nav:
- Processes: 'core-concepts/Processes.md'
- Crews: 'core-concepts/Crews.md'
- Collaboration: 'core-concepts/Collaboration.md'
- Pipeline: 'core-concepts/Pipeline.md'
- Training: 'core-concepts/Training-Crew.md'
- Memory: 'core-concepts/Memory.md'
- Planning: 'core-concepts/Planning.md'
@@ -152,36 +153,38 @@ nav:
- Agent Monitoring with AgentOps: 'how-to/AgentOps-Observability.md'
- Agent Monitoring with LangTrace: 'how-to/Langtrace-Observability.md'
- Tools Docs:
- Firecrawl Scrape Website Tool: 'tools/FirecrawlScrapeWebsiteTool.md'
- Firecrawl Crawl Website Tool: 'tools/FirecrawlCrawlWebsiteTool.md'
- Firecrawl Search Tool: 'tools/FirecrawlSearchTool.md'
- Google Serper Search: 'tools/SerperDevTool.md'
- Browserbase Web Loader: 'tools/BrowserbaseLoadTool.md'
- Composio Tools: 'tools/ComposioTool.md'
- Code Docs RAG Search: 'tools/CodeDocsSearchTool.md'
- Code Interpreter: 'tools/CodeInterpreterTool.md'
- Scrape Website: 'tools/ScrapeWebsiteTool.md'
- Directory Read: 'tools/DirectoryReadTool.md'
- Exa Serch Web Loader: 'tools/EXASearchTool.md'
- File Read: 'tools/FileReadTool.md'
- Selenium Scraper: 'tools/SeleniumScrapingTool.md'
- Directory RAG Search: 'tools/DirectorySearchTool.md'
- DALL-E Tool: 'tools/DALL-ETool.md'
- PDF RAG Search: 'tools/PDFSearchTool.md'
- TXT RAG Search: 'tools/TXTSearchTool.md'
- Composio Tools: 'tools/ComposioTool.md'
- CSV RAG Search: 'tools/CSVSearchTool.md'
- XML RAG Search: 'tools/XMLSearchTool.md'
- JSON RAG Search: 'tools/JSONSearchTool.md'
- DALL-E Tool: 'tools/DALL-ETool.md'
- Directory RAG Search: 'tools/DirectorySearchTool.md'
- Directory Read: 'tools/DirectoryReadTool.md'
- Docx Rag Search: 'tools/DOCXSearchTool.md'
- EXA Serch Web Loader: 'tools/EXASearchTool.md'
- File Read: 'tools/FileReadTool.md'
- File Write: 'tools/FileWriteTool.md'
- Firecrawl Crawl Website Tool: 'tools/FirecrawlCrawlWebsiteTool.md'
- Firecrawl Scrape Website Tool: 'tools/FirecrawlScrapeWebsiteTool.md'
- Firecrawl Search Tool: 'tools/FirecrgstawlSearchTool.md'
- Github RAG Search: 'tools/GitHubSearchTool.md'
- Google Serper Search: 'tools/SerperDevTool.md'
- JSON RAG Search: 'tools/JSONSearchTool.md'
- MDX RAG Search: 'tools/MDXSearchTool.md'
- MySQL Tool: 'tools/MySQLTool.md'
- NL2SQL Tool: 'tools/NL2SQLTool.md'
- PDF RAG Search: 'tools/PDFSearchTool.md'
- PG RAG Search: 'tools/PGSearchTool.md'
- Scrape Website: 'tools/ScrapeWebsiteTool.md'
- Selenium Scraper: 'tools/SeleniumScrapingTool.md'
- Spider Scraper: 'tools/SpiderTool.md'
- TXT RAG Search: 'tools/TXTSearchTool.md'
- Vision Tool: 'tools/VisionTool.md'
- Website RAG Search: 'tools/WebsiteSearchTool.md'
- Github RAG Search: 'tools/GitHubSearchTool.md'
- Code Docs RAG Search: 'tools/CodeDocsSearchTool.md'
- Youtube Video RAG Search: 'tools/YoutubeVideoSearchTool.md'
- XML RAG Search: 'tools/XMLSearchTool.md'
- Youtube Channel RAG Search: 'tools/YoutubeChannelSearchTool.md'
- Youtube Video RAG Search: 'tools/YoutubeVideoSearchTool.md'
- Examples:
- Trip Planner Crew: https://github.com/joaomdmoura/crewAI-examples/tree/main/trip_planner"
- Create Instagram Post: https://github.com/joaomdmoura/crewAI-examples/tree/main/instagram_post"

174
poetry.lock generated
View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "agentops"
@@ -253,6 +253,24 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
[[package]]
name = "auth0-python"
version = "4.7.1"
description = ""
optional = false
python-versions = ">=3.8"
files = [
{file = "auth0_python-4.7.1-py3-none-any.whl", hash = "sha256:5bdbefd582171f398c2b686a19fb5e241a2fa267929519a0c02e33e5932fa7b8"},
{file = "auth0_python-4.7.1.tar.gz", hash = "sha256:5cf8be11aa807d54e19271a990eb92bea1863824e4863c7fc8493c6f15a597f1"},
]
[package.dependencies]
aiohttp = ">=3.8.5,<4.0.0"
cryptography = ">=42.0.4,<43.0.0"
pyjwt = ">=2.8.0,<3.0.0"
requests = ">=2.31.0,<3.0.0"
urllib3 = ">=2.0.7,<3.0.0"
[[package]]
name = "autoflake"
version = "2.3.1"
@@ -829,29 +847,81 @@ name = "crewai-tools"
version = "0.8.3"
description = "Set of tools for the crewAI framework"
optional = false
python-versions = ">=3.10,<=3.13"
files = []
develop = false
python-versions = "<=3.13,>=3.10"
files = [
{file = "crewai_tools-0.8.3-py3-none-any.whl", hash = "sha256:a54a10c36b8403250e13d6594bd37db7e7deb3f9fabc77e8720c081864ae6189"},
{file = "crewai_tools-0.8.3.tar.gz", hash = "sha256:f0317ea1d926221b22fcf4b816d71916fe870aa66ed7ee2a0067dba42b5634eb"},
]
[package.dependencies]
beautifulsoup4 = "^4.12.3"
chromadb = "^0.4.22"
docker = "^7.1.0"
docx2txt = "^0.8"
embedchain = "^0.1.114"
lancedb = "^0.5.4"
beautifulsoup4 = ">=4.12.3,<5.0.0"
chromadb = ">=0.4.22,<0.5.0"
docker = ">=7.1.0,<8.0.0"
docx2txt = ">=0.8,<0.9"
embedchain = ">=0.1.114,<0.2.0"
lancedb = ">=0.5.4,<0.6.0"
langchain = ">0.2,<=0.3"
openai = "^1.12.0"
pydantic = "^2.6.1"
pyright = "^1.1.350"
pytest = "^8.0.0"
pytube = "^15.0.0"
requests = "^2.31.0"
selenium = "^4.18.1"
openai = ">=1.12.0,<2.0.0"
pydantic = ">=2.6.1,<3.0.0"
pyright = ">=1.1.350,<2.0.0"
pytest = ">=8.0.0,<9.0.0"
pytube = ">=15.0.0,<16.0.0"
requests = ">=2.31.0,<3.0.0"
selenium = ">=4.18.1,<5.0.0"
[package.source]
type = "directory"
url = "../crewai-tools"
[[package]]
name = "cryptography"
version = "42.0.8"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = ">=3.7"
files = [
{file = "cryptography-42.0.8-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:81d8a521705787afe7a18d5bfb47ea9d9cc068206270aad0b96a725022e18d2e"},
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{file = "cryptography-42.0.8-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:343728aac38decfdeecf55ecab3264b015be68fc2816ca800db649607aeee648"},
{file = "cryptography-42.0.8-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:013629ae70b40af70c9a7a5db40abe5d9054e6f4380e50ce769947b73bf3caad"},
{file = "cryptography-42.0.8.tar.gz", hash = "sha256:8d09d05439ce7baa8e9e95b07ec5b6c886f548deb7e0f69ef25f64b3bce842f2"},
]
[package.dependencies]
cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
[package.extras]
docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
nox = ["nox"]
pep8test = ["check-sdist", "click", "mypy", "ruff"]
sdist = ["build"]
ssh = ["bcrypt (>=3.1.5)"]
test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
test-randomorder = ["pytest-randomly"]
[[package]]
name = "cssselect2"
@@ -1321,12 +1391,12 @@ files = [
google-auth = ">=2.14.1,<3.0.dev0"
googleapis-common-protos = ">=1.56.2,<2.0.dev0"
grpcio = [
{version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
{version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
]
grpcio-status = [
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
{version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
]
proto-plus = ">=1.22.3,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
@@ -3628,8 +3698,8 @@ files = [
[package.dependencies]
numpy = [
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
]
python-dateutil = ">=2.8.2"
@@ -4027,6 +4097,19 @@ files = [
{file = "pyarrow-17.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:392bc9feabc647338e6c89267635e111d71edad5fcffba204425a7c8d13610d7"},
{file = "pyarrow-17.0.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:af5ff82a04b2171415f1410cff7ebb79861afc5dae50be73ce06d6e870615204"},
{file = "pyarrow-17.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:edca18eaca89cd6382dfbcff3dd2d87633433043650c07375d095cd3517561d8"},
{file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c7916bff914ac5d4a8fe25b7a25e432ff921e72f6f2b7547d1e325c1ad9d155"},
{file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f553ca691b9e94b202ff741bdd40f6ccb70cdd5fbf65c187af132f1317de6145"},
{file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:0cdb0e627c86c373205a2f94a510ac4376fdc523f8bb36beab2e7f204416163c"},
{file = "pyarrow-17.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:d7d192305d9d8bc9082d10f361fc70a73590a4c65cf31c3e6926cd72b76bc35c"},
{file = "pyarrow-17.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:02dae06ce212d8b3244dd3e7d12d9c4d3046945a5933d28026598e9dbbda1fca"},
{file = "pyarrow-17.0.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:13d7a460b412f31e4c0efa1148e1d29bdf18ad1411eb6757d38f8fbdcc8645fb"},
{file = "pyarrow-17.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9b564a51fbccfab5a04a80453e5ac6c9954a9c5ef2890d1bcf63741909c3f8df"},
{file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32503827abbc5aadedfa235f5ece8c4f8f8b0a3cf01066bc8d29de7539532687"},
{file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a155acc7f154b9ffcc85497509bcd0d43efb80d6f733b0dc3bb14e281f131c8b"},
{file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:dec8d129254d0188a49f8a1fc99e0560dc1b85f60af729f47de4046015f9b0a5"},
{file = "pyarrow-17.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:a48ddf5c3c6a6c505904545c25a4ae13646ae1f8ba703c4df4a1bfe4f4006bda"},
{file = "pyarrow-17.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:42bf93249a083aca230ba7e2786c5f673507fa97bbd9725a1e2754715151a204"},
{file = "pyarrow-17.0.0.tar.gz", hash = "sha256:4beca9521ed2c0921c1023e68d097d0299b62c362639ea315572a58f3f50fd28"},
]
[package.dependencies]
@@ -4219,6 +4302,23 @@ files = [
[package.extras]
windows-terminal = ["colorama (>=0.4.6)"]
[[package]]
name = "pyjwt"
version = "2.9.0"
description = "JSON Web Token implementation in Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"},
{file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"},
]
[package.extras]
crypto = ["cryptography (>=3.4.0)"]
dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx", "sphinx-rtd-theme", "zope.interface"]
docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
[[package]]
name = "pylance"
version = "0.9.18"
@@ -5467,22 +5567,23 @@ files = [
[[package]]
name = "urllib3"
version = "1.26.19"
version = "2.2.2"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
python-versions = ">=3.8"
files = [
{file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"},
{file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"},
{file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
{file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
]
[package.dependencies]
PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
[package.extras]
brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
@@ -5556,23 +5657,20 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
[[package]]
name = "vcrpy"
version = "6.0.1"
version = "5.1.0"
description = "Automatically mock your HTTP interactions to simplify and speed up testing"
optional = false
python-versions = ">=3.8"
files = [
{file = "vcrpy-6.0.1.tar.gz", hash = "sha256:9e023fee7f892baa0bbda2f7da7c8ac51165c1c6e38ff8688683a12a4bde9278"},
{file = "vcrpy-5.1.0-py2.py3-none-any.whl", hash = "sha256:605e7b7a63dcd940db1df3ab2697ca7faf0e835c0852882142bafb19649d599e"},
{file = "vcrpy-5.1.0.tar.gz", hash = "sha256:bbf1532f2618a04f11bce2a99af3a9647a32c880957293ff91e0a5f187b6b3d2"},
]
[package.dependencies]
PyYAML = "*"
urllib3 = {version = "<2", markers = "platform_python_implementation == \"PyPy\""}
wrapt = "*"
yarl = "*"
[package.extras]
tests = ["Werkzeug (==2.0.3)", "aiohttp", "boto3", "httplib2", "httpx", "pytest", "pytest-aiohttp", "pytest-asyncio", "pytest-cov", "pytest-httpbin", "requests (>=2.22.0)", "tornado", "urllib3"]
[[package]]
name = "virtualenv"
version = "20.26.3"
@@ -6062,4 +6160,4 @@ tools = ["crewai-tools"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<=3.13"
content-hash = "fc1b510ea9c814db67ac69d2454071b718cb7f6846bd845f7f48561cb0397ce1"
content-hash = "8327a37f807d35d0851e9cc46960e8df0d06924938b2c5354b09951fa54f15e3"

View File

@@ -29,6 +29,7 @@ jsonref = "^1.1.0"
agentops = { version = "^0.3.0", optional = true }
embedchain = "^0.1.114"
json-repair = "^0.25.2"
auth0-python = "^4.7.1"
[tool.poetry.extras]
tools = ["crewai-tools"]
@@ -62,6 +63,9 @@ ignore_missing_imports = true
disable_error_code = 'import-untyped'
exclude = ["cli/templates"]
[tool.bandit]
exclude_dirs = ["src/crewai/cli/templates"]
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

View File

@@ -2,6 +2,7 @@ from crewai.agent import Agent
from crewai.crew import Crew
from crewai.pipeline import Pipeline
from crewai.process import Process
from crewai.routers import Router
from crewai.task import Task
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline"]
__all__ = ["Agent", "Crew", "Process", "Task", "Pipeline", "Router"]

View File

@@ -113,40 +113,41 @@ class Agent(BaseAgent):
description="Maximum number of retries for an agent to execute a task when an error occurs.",
)
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
__pydantic_self__.agent_ops_agent_name = __pydantic_self__.role
@model_validator(mode="after")
def set_agent_executor(self) -> "Agent":
"""Ensure agent executor and token process are set."""
def post_init_setup(self):
self.agent_ops_agent_name = self.role
if hasattr(self.llm, "model_name"):
token_handler = TokenCalcHandler(self.llm.model_name, self._token_process)
# Ensure self.llm.callbacks is a list
if not isinstance(self.llm.callbacks, list):
self.llm.callbacks = []
# Check if an instance of TokenCalcHandler already exists in the list
if not any(
isinstance(handler, TokenCalcHandler) for handler in self.llm.callbacks
):
self.llm.callbacks.append(token_handler)
if agentops and not any(
isinstance(handler, agentops.LangchainCallbackHandler)
for handler in self.llm.callbacks
):
agentops.stop_instrumenting()
self.llm.callbacks.append(agentops.LangchainCallbackHandler())
self._setup_llm_callbacks()
if not self.agent_executor:
if not self.cache_handler:
self.cache_handler = CacheHandler()
self.set_cache_handler(self.cache_handler)
self._setup_agent_executor()
return self
def _setup_llm_callbacks(self):
token_handler = TokenCalcHandler(self.llm.model_name, self._token_process)
if not isinstance(self.llm.callbacks, list):
self.llm.callbacks = []
if not any(
isinstance(handler, TokenCalcHandler) for handler in self.llm.callbacks
):
self.llm.callbacks.append(token_handler)
if agentops and not any(
isinstance(handler, agentops.LangchainCallbackHandler)
for handler in self.llm.callbacks
):
agentops.stop_instrumenting()
self.llm.callbacks.append(agentops.LangchainCallbackHandler())
def _setup_agent_executor(self):
if not self.cache_handler:
self.cache_handler = CacheHandler()
self.set_cache_handler(self.cache_handler)
def execute_task(
self,
task: Any,
@@ -213,7 +214,7 @@ class Agent(BaseAgent):
raise e
result = self.execute_task(task, context, tools)
if self.max_rpm:
if self.max_rpm and self._rpm_controller:
self._rpm_controller.stop_rpm_counter()
# If there was any tool in self.tools_results that had result_as_answer

View File

@@ -2,3 +2,5 @@ from .cache.cache_handler import CacheHandler
from .executor import CrewAgentExecutor
from .parser import CrewAgentParser
from .tools_handler import ToolsHandler
__all__ = ["CacheHandler", "CrewAgentExecutor", "CrewAgentParser", "ToolsHandler"]

View File

@@ -7,7 +7,6 @@ from typing import Any, Dict, List, Optional, TypeVar
from pydantic import (
UUID4,
BaseModel,
ConfigDict,
Field,
InstanceOf,
PrivateAttr,
@@ -20,6 +19,7 @@ from crewai.agents.agent_builder.utilities.base_token_process import TokenProces
from crewai.agents.cache.cache_handler import CacheHandler
from crewai.agents.tools_handler import ToolsHandler
from crewai.utilities import I18N, Logger, RPMController
from crewai.utilities.config import process_config
T = TypeVar("T", bound="BaseAgent")
@@ -74,21 +74,26 @@ class BaseAgent(ABC, BaseModel):
"""
__hash__ = object.__hash__ # type: ignore
_logger: Logger = PrivateAttr()
_rpm_controller: RPMController = PrivateAttr(default=None)
_logger: Logger = PrivateAttr(default_factory=lambda: Logger(verbose=False))
_rpm_controller: Optional[RPMController] = PrivateAttr(default=None)
_request_within_rpm_limit: Any = PrivateAttr(default=None)
formatting_errors: int = 0
model_config = ConfigDict(arbitrary_types_allowed=True)
_original_role: Optional[str] = PrivateAttr(default=None)
_original_goal: Optional[str] = PrivateAttr(default=None)
_original_backstory: Optional[str] = PrivateAttr(default=None)
_token_process: TokenProcess = PrivateAttr(default_factory=TokenProcess)
id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
formatting_errors: int = Field(
default=0, description="Number of formatting errors."
)
role: str = Field(description="Role of the agent")
goal: str = Field(description="Objective of the agent")
backstory: str = Field(description="Backstory of the agent")
config: Optional[Dict[str, Any]] = Field(
description="Configuration for the agent", default=None, exclude=True
)
cache: bool = Field(
default=True, description="Whether the agent should use a cache for tool usage."
)
config: Optional[Dict[str, Any]] = Field(
description="Configuration for the agent", default=None
)
verbose: bool = Field(
default=False, description="Verbose mode for the Agent Execution"
)
@@ -123,20 +128,29 @@ class BaseAgent(ABC, BaseModel):
default=None, description="Maximum number of tokens for the agent's execution."
)
_original_role: str | None = None
_original_goal: str | None = None
_original_backstory: str | None = None
_token_process: TokenProcess = TokenProcess()
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
@model_validator(mode="before")
@classmethod
def process_model_config(cls, values):
return process_config(values, cls)
@model_validator(mode="after")
def set_config_attributes(self):
if self.config:
for key, value in self.config.items():
setattr(self, key, value)
def validate_and_set_attributes(self):
# Validate required fields
for field in ["role", "goal", "backstory"]:
if getattr(self, field) is None:
raise ValueError(
f"{field} must be provided either directly or through config"
)
# Set private attributes
self._logger = Logger(verbose=self.verbose)
if self.max_rpm and not self._rpm_controller:
self._rpm_controller = RPMController(
max_rpm=self.max_rpm, logger=self._logger
)
if not self._token_process:
self._token_process = TokenProcess()
return self
@field_validator("id", mode="before")
@@ -147,14 +161,6 @@ class BaseAgent(ABC, BaseModel):
"may_not_set_field", "This field is not to be set by the user.", {}
)
@model_validator(mode="after")
def set_attributes_based_on_config(self) -> "BaseAgent":
"""Set attributes based on the agent configuration."""
if self.config:
for key, value in self.config.items():
setattr(self, key, value)
return self
@model_validator(mode="after")
def set_private_attrs(self):
"""Set private attributes."""
@@ -170,7 +176,7 @@ class BaseAgent(ABC, BaseModel):
@property
def key(self):
source = [self.role, self.goal, self.backstory]
return md5("|".join(source).encode()).hexdigest()
return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()
@abstractmethod
def execute_task(

View File

@@ -1 +1,3 @@
from .cache_handler import CacheHandler
__all__ = ["CacheHandler"]

View File

@@ -1,13 +1,12 @@
from typing import Optional
from typing import Any, Dict, Optional
from pydantic import BaseModel, PrivateAttr
class CacheHandler:
class CacheHandler(BaseModel):
"""Callback handler for tool usage."""
_cache: dict = {}
def __init__(self):
self._cache = {}
_cache: Dict[str, Any] = PrivateAttr(default_factory=dict)
def add(self, tool, input, output):
self._cache[f"{tool}-{input}"] = output

View File

@@ -1,33 +1,29 @@
import threading
import time
from typing import Any, Dict, Iterator, List, Literal, Optional, Tuple, Union
import click
from langchain.agents import AgentExecutor
from langchain.agents.agent import ExceptionTool
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.summarize import load_summarize_chain
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_core.agents import AgentAction, AgentFinish, AgentStep
from langchain_core.exceptions import OutputParserException
from langchain_core.tools import BaseTool
from langchain_core.utils.input import get_color_mapping
from pydantic import InstanceOf
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.chains.summarize import load_summarize_chain
from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
from crewai.agents.tools_handler import ToolsHandler
from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException
from crewai.utilities import I18N
from crewai.utilities.constants import TRAINING_DATA_FILE
from crewai.utilities.exceptions.context_window_exceeding_exception import (
LLMContextLengthExceededException,
)
from crewai.utilities.training_handler import CrewTrainingHandler
from crewai.utilities.logger import Logger
from crewai.utilities.training_handler import CrewTrainingHandler
class CrewAgentExecutor(AgentExecutor, CrewAgentExecutorMixin):
@@ -213,11 +209,7 @@ class CrewAgentExecutor(AgentExecutor, CrewAgentExecutorMixin):
yield step
return
yield AgentStep(
action=AgentAction("_Exception", str(e), str(e)),
observation=str(e),
)
return
raise e
# If the tool chosen is the finishing tool, then we end and return.
if isinstance(output, AgentFinish):

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@@ -0,0 +1,3 @@
from .main import AuthenticationCommand
__all__ = ["AuthenticationCommand"]

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@@ -0,0 +1,4 @@
ALGORITHMS = ["RS256"]
AUTH0_DOMAIN = "dev-jzsr0j8zs0atl5ha.us.auth0.com"
AUTH0_CLIENT_ID = "CZtyRHuVW80HbLSjk4ggXNzjg4KAt7Oe"
AUTH0_AUDIENCE = "https://dev-jzsr0j8zs0atl5ha.us.auth0.com/api/v2/"

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@@ -0,0 +1,75 @@
import time
import webbrowser
from typing import Any, Dict
import requests
from rich.console import Console
from .constants import AUTH0_AUDIENCE, AUTH0_CLIENT_ID, AUTH0_DOMAIN
from .utils import TokenManager, validate_token
console = Console()
class AuthenticationCommand:
DEVICE_CODE_URL = f"https://{AUTH0_DOMAIN}/oauth/device/code"
TOKEN_URL = f"https://{AUTH0_DOMAIN}/oauth/token"
def __init__(self):
self.token_manager = TokenManager()
def signup(self) -> None:
"""Sign up to CrewAI+"""
console.print("Signing Up to CrewAI+ \n", style="bold blue")
device_code_data = self._get_device_code()
self._display_auth_instructions(device_code_data)
return self._poll_for_token(device_code_data)
def _get_device_code(self) -> Dict[str, Any]:
"""Get the device code to authenticate the user."""
device_code_payload = {
"client_id": AUTH0_CLIENT_ID,
"scope": "openid",
"audience": AUTH0_AUDIENCE,
}
response = requests.post(url=self.DEVICE_CODE_URL, data=device_code_payload)
response.raise_for_status()
return response.json()
def _display_auth_instructions(self, device_code_data: Dict[str, str]) -> None:
"""Display the authentication instructions to the user."""
console.print("1. Navigate to: ", device_code_data["verification_uri_complete"])
console.print("2. Enter the following code: ", device_code_data["user_code"])
webbrowser.open(device_code_data["verification_uri_complete"])
def _poll_for_token(self, device_code_data: Dict[str, Any]) -> None:
"""Poll the server for the token."""
token_payload = {
"grant_type": "urn:ietf:params:oauth:grant-type:device_code",
"device_code": device_code_data["device_code"],
"client_id": AUTH0_CLIENT_ID,
}
attempts = 0
while True and attempts < 5:
response = requests.post(self.TOKEN_URL, data=token_payload)
token_data = response.json()
if response.status_code == 200:
validate_token(token_data["id_token"])
expires_in = 360000 # Token expiration time in seconds
self.token_manager.save_tokens(token_data["access_token"], expires_in)
console.print("\nWelcome to CrewAI+ !!", style="green")
return
if token_data["error"] not in ("authorization_pending", "slow_down"):
raise requests.HTTPError(token_data["error_description"])
time.sleep(device_code_data["interval"])
attempts += 1
console.print(
"Timeout: Failed to get the token. Please try again.", style="bold red"
)

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@@ -0,0 +1,144 @@
import json
import os
import sys
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional
from auth0.authentication.token_verifier import (
AsymmetricSignatureVerifier,
TokenVerifier,
)
from cryptography.fernet import Fernet
from .constants import AUTH0_CLIENT_ID, AUTH0_DOMAIN
def validate_token(id_token: str) -> None:
"""
Verify the token and its precedence
:param id_token:
"""
jwks_url = f"https://{AUTH0_DOMAIN}/.well-known/jwks.json"
issuer = f"https://{AUTH0_DOMAIN}/"
signature_verifier = AsymmetricSignatureVerifier(jwks_url)
token_verifier = TokenVerifier(
signature_verifier=signature_verifier, issuer=issuer, audience=AUTH0_CLIENT_ID
)
token_verifier.verify(id_token)
class TokenManager:
def __init__(self, file_path: str = "tokens.enc") -> None:
"""
Initialize the TokenManager class.
:param file_path: The file path to store the encrypted tokens. Default is "tokens.enc".
"""
self.file_path = file_path
self.key = self._get_or_create_key()
self.fernet = Fernet(self.key)
def _get_or_create_key(self) -> bytes:
"""
Get or create the encryption key.
:return: The encryption key.
"""
key_filename = "secret.key"
key = self.read_secure_file(key_filename)
if key is not None:
return key
new_key = Fernet.generate_key()
self.save_secure_file(key_filename, new_key)
return new_key
def save_tokens(self, access_token: str, expires_in: int) -> None:
"""
Save the access token and its expiration time.
:param access_token: The access token to save.
:param expires_in: The expiration time of the access token in seconds.
"""
expiration_time = datetime.now() + timedelta(seconds=expires_in)
data = {
"access_token": access_token,
"expiration": expiration_time.isoformat(),
}
encrypted_data = self.fernet.encrypt(json.dumps(data).encode())
self.save_secure_file(self.file_path, encrypted_data)
def get_token(self) -> Optional[str]:
"""
Get the access token if it is valid and not expired.
:return: The access token if valid and not expired, otherwise None.
"""
encrypted_data = self.read_secure_file(self.file_path)
decrypted_data = self.fernet.decrypt(encrypted_data)
data = json.loads(decrypted_data)
expiration = datetime.fromisoformat(data["expiration"])
if expiration <= datetime.now():
return None
return data["access_token"]
def get_secure_storage_path(self) -> Path:
"""
Get the secure storage path based on the operating system.
:return: The secure storage path.
"""
if sys.platform == "win32":
# Windows: Use %LOCALAPPDATA%
base_path = os.environ.get("LOCALAPPDATA")
elif sys.platform == "darwin":
# macOS: Use ~/Library/Application Support
base_path = os.path.expanduser("~/Library/Application Support")
else:
# Linux and other Unix-like: Use ~/.local/share
base_path = os.path.expanduser("~/.local/share")
app_name = "crewai/credentials"
storage_path = Path(base_path) / app_name
storage_path.mkdir(parents=True, exist_ok=True)
return storage_path
def save_secure_file(self, filename: str, content: bytes) -> None:
"""
Save the content to a secure file.
:param filename: The name of the file.
:param content: The content to save.
"""
storage_path = self.get_secure_storage_path()
file_path = storage_path / filename
with open(file_path, "wb") as f:
f.write(content)
# Set appropriate permissions (read/write for owner only)
os.chmod(file_path, 0o600)
def read_secure_file(self, filename: str) -> Optional[bytes]:
"""
Read the content of a secure file.
:param filename: The name of the file.
:return: The content of the file if it exists, otherwise None.
"""
storage_path = self.get_secure_storage_path()
file_path = storage_path / filename
if not file_path.exists():
return None
with open(file_path, "rb") as f:
return f.read()

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@@ -1,3 +1,5 @@
from typing import Optional
import click
import pkg_resources
@@ -7,7 +9,10 @@ from crewai.memory.storage.kickoff_task_outputs_storage import (
KickoffTaskOutputsSQLiteStorage,
)
from .authentication.main import AuthenticationCommand
from .deploy.main import DeployCommand
from .evaluate_crew import evaluate_crew
from .install_crew import install_crew
from .replay_from_task import replay_task_command
from .reset_memories_command import reset_memories_command
from .run_crew import run_crew
@@ -165,12 +170,83 @@ def test(n_iterations: int, model: str):
evaluate_crew(n_iterations, model)
@crewai.command()
def install():
"""Install the Crew."""
install_crew()
@crewai.command()
def run():
"""Run the crew."""
click.echo("Running the crew")
"""Run the Crew."""
click.echo("Running the Crew")
run_crew()
@crewai.command()
def signup():
"""Sign Up/Login to CrewAI+."""
AuthenticationCommand().signup()
@crewai.command()
def login():
"""Sign Up/Login to CrewAI+."""
AuthenticationCommand().signup()
# DEPLOY CREWAI+ COMMANDS
@crewai.group()
def deploy():
"""Deploy the Crew CLI group."""
pass
@deploy.command(name="create")
def deploy_create():
"""Create a Crew deployment."""
deploy_cmd = DeployCommand()
deploy_cmd.create_crew()
@deploy.command(name="list")
def deploy_list():
"""List all deployments."""
deploy_cmd = DeployCommand()
deploy_cmd.list_crews()
@deploy.command(name="push")
@click.option("-u", "--uuid", type=str, help="Crew UUID parameter")
def deploy_push(uuid: Optional[str]):
"""Deploy the Crew."""
deploy_cmd = DeployCommand()
deploy_cmd.deploy(uuid=uuid)
@deploy.command(name="status")
@click.option("-u", "--uuid", type=str, help="Crew UUID parameter")
def deply_status(uuid: Optional[str]):
"""Get the status of a deployment."""
deploy_cmd = DeployCommand()
deploy_cmd.get_crew_status(uuid=uuid)
@deploy.command(name="logs")
@click.option("-u", "--uuid", type=str, help="Crew UUID parameter")
def deploy_logs(uuid: Optional[str]):
"""Get the logs of a deployment."""
deploy_cmd = DeployCommand()
deploy_cmd.get_crew_logs(uuid=uuid)
@deploy.command(name="remove")
@click.option("-u", "--uuid", type=str, help="Crew UUID parameter")
def deploy_remove(uuid: Optional[str]):
"""Remove a deployment."""
deploy_cmd = DeployCommand()
deploy_cmd.remove_crew(uuid=uuid)
if __name__ == "__main__":
crewai()

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@@ -0,0 +1,63 @@
from os import getenv
import requests
class CrewAPI:
"""
CrewAPI class to interact with the crewAI+ API.
"""
def __init__(self, api_key: str) -> None:
self.api_key = api_key
self.headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
}
self.base_url = getenv(
"CREWAI_BASE_URL", "https://dev.crewai.com/crewai_plus/api/v1/crews"
)
def _make_request(self, method: str, endpoint: str, **kwargs) -> requests.Response:
url = f"{self.base_url}/{endpoint}"
return requests.request(method, url, headers=self.headers, **kwargs)
# Deploy
def deploy_by_name(self, project_name: str) -> requests.Response:
return self._make_request("POST", f"by-name/{project_name}/deploy")
def deploy_by_uuid(self, uuid: str) -> requests.Response:
return self._make_request("POST", f"{uuid}/deploy")
# Status
def status_by_name(self, project_name: str) -> requests.Response:
return self._make_request("GET", f"by-name/{project_name}/status")
def status_by_uuid(self, uuid: str) -> requests.Response:
return self._make_request("GET", f"{uuid}/status")
# Logs
def logs_by_name(
self, project_name: str, log_type: str = "deployment"
) -> requests.Response:
return self._make_request("GET", f"by-name/{project_name}/logs/{log_type}")
def logs_by_uuid(
self, uuid: str, log_type: str = "deployment"
) -> requests.Response:
return self._make_request("GET", f"{uuid}/logs/{log_type}")
# Delete
def delete_by_name(self, project_name: str) -> requests.Response:
return self._make_request("DELETE", f"by-name/{project_name}")
def delete_by_uuid(self, uuid: str) -> requests.Response:
return self._make_request("DELETE", f"{uuid}")
# List
def list_crews(self) -> requests.Response:
return self._make_request("GET", "")
# Create
def create_crew(self, payload) -> requests.Response:
return self._make_request("POST", "", json=payload)

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@@ -0,0 +1,289 @@
from typing import Any, Dict, List, Optional
from rich.console import Console
from .api import CrewAPI
from .utils import (
fetch_and_json_env_file,
get_auth_token,
get_git_remote_url,
get_project_name,
)
console = Console()
class DeployCommand:
"""
A class to handle deployment-related operations for CrewAI projects.
"""
def __init__(self):
"""
Initialize the DeployCommand with project name and API client.
"""
try:
access_token = get_auth_token()
except Exception:
console.print(
"Please sign up/login to CrewAI+ before using the CLI.",
style="bold red",
)
console.print("Run 'crewai signup' to sign up/login.", style="bold green")
raise SystemExit
self.project_name = get_project_name()
self.client = CrewAPI(api_key=access_token)
def _handle_error(self, json_response: Dict[str, Any]) -> None:
"""
Handle and display error messages from API responses.
Args:
json_response (Dict[str, Any]): The JSON response containing error information.
"""
error = json_response.get("error", "Unknown error")
message = json_response.get("message", "No message provided")
console.print(f"Error: {error}", style="bold red")
console.print(f"Message: {message}", style="bold red")
def _standard_no_param_error_message(self) -> None:
"""
Display a standard error message when no UUID or project name is available.
"""
console.print(
"No UUID provided, project pyproject.toml not found or with error.",
style="bold red",
)
def _display_deployment_info(self, json_response: Dict[str, Any]) -> None:
"""
Display deployment information.
Args:
json_response (Dict[str, Any]): The deployment information to display.
"""
console.print("Deploying the crew...\n", style="bold blue")
for key, value in json_response.items():
console.print(f"{key.title()}: [green]{value}[/green]")
console.print("\nTo check the status of the deployment, run:")
console.print("crewai deploy status")
console.print(" or")
console.print(f"crewai deploy status --uuid \"{json_response['uuid']}\"")
def _display_logs(self, log_messages: List[Dict[str, Any]]) -> None:
"""
Display log messages.
Args:
log_messages (List[Dict[str, Any]]): The log messages to display.
"""
for log_message in log_messages:
console.print(
f"{log_message['timestamp']} - {log_message['level']}: {log_message['message']}"
)
def deploy(self, uuid: Optional[str] = None) -> None:
"""
Deploy a crew using either UUID or project name.
Args:
uuid (Optional[str]): The UUID of the crew to deploy.
"""
console.print("Starting deployment...", style="bold blue")
if uuid:
response = self.client.deploy_by_uuid(uuid)
elif self.project_name:
response = self.client.deploy_by_name(self.project_name)
else:
self._standard_no_param_error_message()
return
json_response = response.json()
if response.status_code == 200:
self._display_deployment_info(json_response)
else:
self._handle_error(json_response)
def create_crew(self) -> None:
"""
Create a new crew deployment.
"""
console.print("Creating deployment...", style="bold blue")
env_vars = fetch_and_json_env_file()
remote_repo_url = get_git_remote_url()
self._confirm_input(env_vars, remote_repo_url)
payload = self._create_payload(env_vars, remote_repo_url)
response = self.client.create_crew(payload)
if response.status_code == 201:
self._display_creation_success(response.json())
else:
self._handle_error(response.json())
def _confirm_input(self, env_vars: Dict[str, str], remote_repo_url: str) -> None:
"""
Confirm input parameters with the user.
Args:
env_vars (Dict[str, str]): Environment variables.
remote_repo_url (str): Remote repository URL.
"""
input(f"Press Enter to continue with the following Env vars: {env_vars}")
input(
f"Press Enter to continue with the following remote repository: {remote_repo_url}\n"
)
def _create_payload(
self,
env_vars: Dict[str, str],
remote_repo_url: str,
) -> Dict[str, Any]:
"""
Create the payload for crew creation.
Args:
remote_repo_url (str): Remote repository URL.
env_vars (Dict[str, str]): Environment variables.
Returns:
Dict[str, Any]: The payload for crew creation.
"""
return {
"deploy": {
"name": self.project_name,
"repo_clone_url": remote_repo_url,
"env": env_vars,
}
}
def _display_creation_success(self, json_response: Dict[str, Any]) -> None:
"""
Display success message after crew creation.
Args:
json_response (Dict[str, Any]): The response containing crew information.
"""
console.print("Deployment created successfully!\n", style="bold green")
console.print(
f"Name: {self.project_name} ({json_response['uuid']})", style="bold green"
)
console.print(f"Status: {json_response['status']}", style="bold green")
console.print("\nTo (re)deploy the crew, run:")
console.print("crewai deploy push")
console.print(" or")
console.print(f"crewai deploy push --uuid {json_response['uuid']}")
def list_crews(self) -> None:
"""
List all available crews.
"""
console.print("Listing all Crews\n", style="bold blue")
response = self.client.list_crews()
json_response = response.json()
if response.status_code == 200:
self._display_crews(json_response)
else:
self._display_no_crews_message()
def _display_crews(self, crews_data: List[Dict[str, Any]]) -> None:
"""
Display the list of crews.
Args:
crews_data (List[Dict[str, Any]]): List of crew data to display.
"""
for crew_data in crews_data:
console.print(
f"- {crew_data['name']} ({crew_data['uuid']}) [blue]{crew_data['status']}[/blue]"
)
def _display_no_crews_message(self) -> None:
"""
Display a message when no crews are available.
"""
console.print("You don't have any Crews yet. Let's create one!", style="yellow")
console.print(" crewai create crew <crew_name>", style="green")
def get_crew_status(self, uuid: Optional[str] = None) -> None:
"""
Get the status of a crew.
Args:
uuid (Optional[str]): The UUID of the crew to check.
"""
console.print("Fetching deployment status...", style="bold blue")
if uuid:
response = self.client.status_by_uuid(uuid)
elif self.project_name:
response = self.client.status_by_name(self.project_name)
else:
self._standard_no_param_error_message()
return
json_response = response.json()
if response.status_code == 200:
self._display_crew_status(json_response)
else:
self._handle_error(json_response)
def _display_crew_status(self, status_data: Dict[str, str]) -> None:
"""
Display the status of a crew.
Args:
status_data (Dict[str, str]): The status data to display.
"""
console.print(f"Name:\t {status_data['name']}")
console.print(f"Status:\t {status_data['status']}")
def get_crew_logs(self, uuid: Optional[str], log_type: str = "deployment") -> None:
"""
Get logs for a crew.
Args:
uuid (Optional[str]): The UUID of the crew to get logs for.
log_type (str): The type of logs to retrieve (default: "deployment").
"""
console.print(f"Fetching {log_type} logs...", style="bold blue")
if uuid:
response = self.client.logs_by_uuid(uuid, log_type)
elif self.project_name:
response = self.client.logs_by_name(self.project_name, log_type)
else:
self._standard_no_param_error_message()
return
if response.status_code == 200:
self._display_logs(response.json())
else:
self._handle_error(response.json())
def remove_crew(self, uuid: Optional[str]) -> None:
"""
Remove a crew deployment.
Args:
uuid (Optional[str]): The UUID of the crew to remove.
"""
console.print("Removing deployment...", style="bold blue")
if uuid:
response = self.client.delete_by_uuid(uuid)
elif self.project_name:
response = self.client.delete_by_name(self.project_name)
else:
self._standard_no_param_error_message()
return
if response.status_code == 204:
console.print(
f"Crew '{self.project_name}' removed successfully.", style="green"
)
else:
console.print(
f"Failed to remove crew '{self.project_name}'", style="bold red"
)

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@@ -0,0 +1,117 @@
import re
import subprocess
import tomllib
from ..authentication.utils import TokenManager
def get_git_remote_url() -> str:
"""Get the Git repository's remote URL."""
try:
# Run the git remote -v command
result = subprocess.run(
["git", "remote", "-v"], capture_output=True, text=True, check=True
)
# Get the output
output = result.stdout
# Parse the output to find the origin URL
matches = re.findall(r"origin\s+(.*?)\s+\(fetch\)", output)
if matches:
return matches[0] # Return the first match (origin URL)
else:
print("No origin remote found.")
return "No remote URL found"
except subprocess.CalledProcessError as e:
return f"Error running trying to fetch the Git Repository: {e}"
except FileNotFoundError:
return "Git command not found. Make sure Git is installed and in your PATH."
def get_project_name(pyproject_path: str = "pyproject.toml"):
"""Get the project name from the pyproject.toml file."""
try:
# Read the pyproject.toml file
with open(pyproject_path, "rb") as f:
pyproject_content = tomllib.load(f)
# Extract the project name
project_name = pyproject_content["tool"]["poetry"]["name"]
if "crewai" not in pyproject_content["tool"]["poetry"]["dependencies"]:
raise Exception("crewai is not in the dependencies.")
return project_name
except FileNotFoundError:
print(f"Error: {pyproject_path} not found.")
except KeyError:
print(f"Error: {pyproject_path} is not a valid pyproject.toml file.")
except tomllib.TOMLDecodeError:
print(f"Error: {pyproject_path} is not a valid TOML file.")
except Exception as e:
print(f"Error reading the pyproject.toml file: {e}")
return None
def get_crewai_version(pyproject_path: str = "pyproject.toml") -> str:
"""Get the version number of crewai from the pyproject.toml file."""
try:
# Read the pyproject.toml file
with open("pyproject.toml", "rb") as f:
pyproject_content = tomllib.load(f)
# Extract the version number of crewai
crewai_version = pyproject_content["tool"]["poetry"]["dependencies"]["crewai"][
"version"
]
return crewai_version
except FileNotFoundError:
print(f"Error: {pyproject_path} not found.")
except KeyError:
print(f"Error: {pyproject_path} is not a valid pyproject.toml file.")
except tomllib.TOMLDecodeError:
print(f"Error: {pyproject_path} is not a valid TOML file.")
except Exception as e:
print(f"Error reading the pyproject.toml file: {e}")
return "no-version-found"
def fetch_and_json_env_file(env_file_path: str = ".env") -> dict:
"""Fetch the environment variables from a .env file and return them as a dictionary."""
try:
# Read the .env file
with open(env_file_path, "r") as f:
env_content = f.read()
# Parse the .env file content to a dictionary
env_dict = {}
for line in env_content.splitlines():
if line.strip() and not line.strip().startswith("#"):
key, value = line.split("=", 1)
env_dict[key.strip()] = value.strip()
return env_dict
except FileNotFoundError:
print(f"Error: {env_file_path} not found.")
except Exception as e:
print(f"Error reading the .env file: {e}")
return {}
def get_auth_token() -> str:
"""Get the authentication token."""
access_token = TokenManager().get_token()
if not access_token:
raise Exception()
return access_token

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@@ -0,0 +1,21 @@
import subprocess
import click
def install_crew() -> None:
"""
Install the crew by running the Poetry command to lock and install.
"""
try:
subprocess.run(["poetry", "lock"], check=True, capture_output=False, text=True)
subprocess.run(
["poetry", "install"], check=True, capture_output=False, text=True
)
except subprocess.CalledProcessError as e:
click.echo(f"An error occurred while running the crew: {e}", err=True)
click.echo(e.output, err=True)
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)

View File

@@ -14,12 +14,9 @@ pip install poetry
Next, navigate to your project directory and install the dependencies:
1. First lock the dependencies and then install them:
1. First lock the dependencies and install them by using the CLI command:
```bash
poetry lock
```
```bash
poetry install
crewai install
```
### Customizing
@@ -37,10 +34,6 @@ To kickstart your crew of AI agents and begin task execution, run this from the
```bash
$ crewai run
```
or
```bash
poetry run {{folder_name}}
```
This command initializes the {{name}} Crew, assembling the agents and assigning them tasks as defined in your configuration.

View File

@@ -6,7 +6,8 @@ authors = ["Your Name <you@example.com>"]
[tool.poetry.dependencies]
python = ">=3.10,<=3.13"
crewai = { extras = ["tools"], version = "^0.51.0" }
crewai = { extras = ["tools"], version = ">=0.51.0,<1.0.0" }
[tool.poetry.scripts]
{{folder_name}} = "{{folder_name}}.main:run"

View File

@@ -15,12 +15,11 @@ pip install poetry
Next, navigate to your project directory and install the dependencies:
1. First lock the dependencies and then install them:
```bash
poetry lock
```
```bash
poetry install
crewai install
```
### Customizing
**Add your `OPENAI_API_KEY` into the `.env` file**
@@ -35,7 +34,7 @@ poetry install
To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:
```bash
poetry run {{folder_name}}
crewai run
```
This command initializes the {{name}} Crew, assembling the agents and assigning them tasks as defined in your configuration.
@@ -49,6 +48,7 @@ The {{name}} Crew is composed of multiple AI agents, each with unique roles, goa
## Support
For support, questions, or feedback regarding the {{crew_name}} Crew or crewAI.
- Visit our [documentation](https://docs.crewai.com)
- Reach out to us through our [GitHub repository](https://github.com/joaomdmoura/crewai)
- [Join our Discord](https://discord.com/invite/X4JWnZnxPb)

View File

@@ -6,7 +6,7 @@ authors = ["Your Name <you@example.com>"]
[tool.poetry.dependencies]
python = ">=3.10,<=3.13"
crewai = { extras = ["tools"], version = "^0.51.0" }
crewai = { extras = ["tools"], version = ">=0.51.0,<1.0.0" }
asyncio = "*"
[tool.poetry.scripts]

View File

@@ -16,10 +16,7 @@ Next, navigate to your project directory and install the dependencies:
1. First lock the dependencies and then install them:
```bash
poetry lock
```
```bash
poetry install
crewai install
```
### Customizing
@@ -35,7 +32,7 @@ poetry install
To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:
```bash
poetry run {{folder_name}}
crewai run
```
This command initializes the {{name}} Crew, assembling the agents and assigning them tasks as defined in your configuration.

View File

@@ -6,7 +6,8 @@ authors = ["Your Name <you@example.com>"]
[tool.poetry.dependencies]
python = ">=3.10,<=3.13"
crewai = { extras = ["tools"], version = "^0.51.0" }
crewai = { extras = ["tools"], version = ">=0.51.0,<1.0.0" }
[tool.poetry.scripts]
{{folder_name}} = "{{folder_name}}.main:main"

View File

@@ -1,16 +1,15 @@
import asyncio
import json
import os
import uuid
from concurrent.futures import Future
from hashlib import md5
import os
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from langchain_core.callbacks import BaseCallbackHandler
from pydantic import (
UUID4,
BaseModel,
ConfigDict,
Field,
InstanceOf,
Json,
@@ -48,11 +47,10 @@ from crewai.utilities.planning_handler import CrewPlanner
from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
from crewai.utilities.training_handler import CrewTrainingHandler
agentops = None
if os.environ.get("AGENTOPS_API_KEY"):
try:
import agentops
import agentops # type: ignore
except ImportError:
pass
@@ -106,7 +104,6 @@ class Crew(BaseModel):
name: Optional[str] = Field(default=None)
cache: bool = Field(default=True)
model_config = ConfigDict(arbitrary_types_allowed=True)
tasks: List[Task] = Field(default_factory=list)
agents: List[BaseAgent] = Field(default_factory=list)
process: Process = Field(default=Process.sequential)
@@ -364,7 +361,7 @@ class Crew(BaseModel):
source = [agent.key for agent in self.agents] + [
task.key for task in self.tasks
]
return md5("|".join(source).encode()).hexdigest()
return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()
def _setup_from_config(self):
assert self.config is not None, "Config should not be None."
@@ -541,7 +538,7 @@ class Crew(BaseModel):
)._handle_crew_planning()
for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
task.description += step_plan
task.description += step_plan.plan
def _store_execution_log(
self,

View File

@@ -1 +1,3 @@
from .crew_output import CrewOutput
__all__ = ["CrewOutput"]

View File

@@ -1,3 +1,5 @@
from .entity.entity_memory import EntityMemory
from .long_term.long_term_memory import LongTermMemory
from .short_term.short_term_memory import ShortTermMemory
__all__ = ["EntityMemory", "LongTermMemory", "ShortTermMemory"]

View File

@@ -21,7 +21,7 @@ class Memory:
if agent:
metadata["agent"] = agent
self.storage.save(value, metadata) # type: ignore # Maybe BUG? Should be self.storage.save(key, value, metadata)
self.storage.save(value, metadata)
def search(self, query: str) -> Dict[str, Any]:
return self.storage.search(query)

View File

@@ -5,13 +5,14 @@ import os
import shutil
from typing import Any, Dict, List, Optional
from crewai.memory.storage.interface import Storage
from crewai.utilities.paths import db_storage_path
from embedchain import App
from embedchain.llm.base import BaseLlm
from embedchain.models.data_type import DataType
from embedchain.vectordb.chroma import InvalidDimensionException
from crewai.memory.storage.interface import Storage
from crewai.utilities.paths import db_storage_path
@contextlib.contextmanager
def suppress_logging(
@@ -77,12 +78,12 @@ class RAGStorage(Storage):
self.app.llm = FakeLLM()
if allow_reset:
self.app.reset()
def _sanitize_role(self, role: str) -> str:
"""
Sanitizes agent roles to ensure valid directory names.
"""
return role.replace('\n', '').replace(' ', '_').replace('/', '_')
return role.replace("\n", "").replace(" ", "_").replace("/", "_")
def save(self, value: Any, metadata: Dict[str, Any]) -> None:
self._generate_embedding(value, metadata)

View File

@@ -1,3 +1,5 @@
from crewai.pipeline.pipeline import Pipeline
from crewai.pipeline.pipeline_kickoff_result import PipelineKickoffResult
from crewai.pipeline.pipeline_output import PipelineOutput
__all__ = ["Pipeline", "PipelineKickoffResult", "PipelineOutput"]

View File

@@ -1,3 +1,5 @@
from functools import wraps
from crewai.project.utils import memoize
@@ -5,13 +7,17 @@ def task(func):
if not hasattr(task, "registration_order"):
task.registration_order = []
func.is_task = True
wrapped_func = memoize(func)
@wraps(func)
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
if not result.name:
result.name = func.__name__
return result
# Append the function name to the registration order list
setattr(wrapper, "is_task", True)
task.registration_order.append(func.__name__)
return wrapped_func
return memoize(wrapper)
def agent(func):

View File

@@ -1,56 +1,45 @@
import inspect
import os
from pathlib import Path
from typing import Any, Callable, Dict
import yaml
from dotenv import load_dotenv
from pydantic import ConfigDict
load_dotenv()
def CrewBase(cls):
class WrappedClass(cls):
model_config = ConfigDict(arbitrary_types_allowed=True)
is_crew_class: bool = True # type: ignore
base_directory = None
for frame_info in inspect.stack():
if "site-packages" not in frame_info.filename:
base_directory = Path(frame_info.filename).parent.resolve()
break
# Get the directory of the class being decorated
base_directory = Path(inspect.getfile(cls)).parent
original_agents_config_path = getattr(
cls, "agents_config", "config/agents.yaml"
)
original_tasks_config_path = getattr(cls, "tasks_config", "config/tasks.yaml")
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
if self.base_directory is None:
raise Exception(
"Unable to dynamically determine the project's base directory, you must run it from the project's root directory."
)
agents_config_path = self.base_directory / self.original_agents_config_path
tasks_config_path = self.base_directory / self.original_tasks_config_path
self.agents_config = self.load_yaml(
os.path.join(self.base_directory, self.original_agents_config_path)
)
self.tasks_config = self.load_yaml(
os.path.join(self.base_directory, self.original_tasks_config_path)
)
self.agents_config = self.load_yaml(agents_config_path)
self.tasks_config = self.load_yaml(tasks_config_path)
self.map_all_agent_variables()
self.map_all_task_variables()
@staticmethod
def load_yaml(config_path: str):
with open(config_path, "r") as file:
# parsedContent = YamlParser.parse(file) # type: ignore # Argument 1 to "parse" has incompatible type "TextIOWrapper"; expected "YamlParser"
return yaml.safe_load(file)
def load_yaml(config_path: Path):
try:
with open(config_path, "r") as file:
return yaml.safe_load(file)
except FileNotFoundError:
print(f"File not found: {config_path}")
raise
def _get_all_functions(self):
return {

View File

@@ -1,24 +1,24 @@
from typing import Callable, Dict
from pydantic import ConfigDict
from typing import Any, Callable, Dict, List, Type, Union
from crewai.crew import Crew
from crewai.pipeline.pipeline import Pipeline
from crewai.routers.router import Router
PipelineStage = Union[Crew, List[Crew], Router]
# TODO: Could potentially remove. Need to check with @joao and @gui if this is needed for CrewAI+
def PipelineBase(cls):
def PipelineBase(cls: Type[Any]) -> Type[Any]:
class WrappedClass(cls):
model_config = ConfigDict(arbitrary_types_allowed=True)
is_pipeline_class: bool = True
is_pipeline_class: bool = True # type: ignore
stages: List[PipelineStage]
def __init__(self, *args, **kwargs):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.stages = []
self._map_pipeline_components()
def _get_all_functions(self):
def _get_all_functions(self) -> Dict[str, Callable[..., Any]]:
return {
name: getattr(self, name)
for name in dir(self)
@@ -26,15 +26,15 @@ def PipelineBase(cls):
}
def _filter_functions(
self, functions: Dict[str, Callable], attribute: str
) -> Dict[str, Callable]:
self, functions: Dict[str, Callable[..., Any]], attribute: str
) -> Dict[str, Callable[..., Any]]:
return {
name: func
for name, func in functions.items()
if hasattr(func, attribute)
}
def _map_pipeline_components(self):
def _map_pipeline_components(self) -> None:
all_functions = self._get_all_functions()
crew_functions = self._filter_functions(all_functions, "is_crew")
router_functions = self._filter_functions(all_functions, "is_router")

View File

@@ -1 +1,3 @@
from crewai.routers.router import Router
__all__ = ["Router"]

View File

@@ -1,32 +1,26 @@
from copy import deepcopy
from typing import Any, Callable, Dict, Generic, Tuple, TypeVar
from typing import Any, Callable, Dict, Tuple
from pydantic import BaseModel, Field, PrivateAttr
T = TypeVar("T", bound=Dict[str, Any])
U = TypeVar("U")
class Route(BaseModel):
condition: Callable[[Dict[str, Any]], bool]
pipeline: Any
class Route(Generic[T, U]):
condition: Callable[[T], bool]
pipeline: U
def __init__(self, condition: Callable[[T], bool], pipeline: U):
self.condition = condition
self.pipeline = pipeline
class Router(BaseModel, Generic[T, U]):
routes: Dict[str, Route[T, U]] = Field(
class Router(BaseModel):
routes: Dict[str, Route] = Field(
default_factory=dict,
description="Dictionary of route names to (condition, pipeline) tuples",
)
default: U = Field(..., description="Default pipeline if no conditions are met")
default: Any = Field(..., description="Default pipeline if no conditions are met")
_route_types: Dict[str, type] = PrivateAttr(default_factory=dict)
model_config = {"arbitrary_types_allowed": True}
class Config:
arbitrary_types_allowed = True
def __init__(self, routes: Dict[str, Route[T, U]], default: U, **data):
def __init__(self, routes: Dict[str, Route], default: Any, **data):
super().__init__(routes=routes, default=default, **data)
self._check_copyable(default)
for name, route in routes.items():
@@ -34,16 +28,16 @@ class Router(BaseModel, Generic[T, U]):
self._route_types[name] = type(route.pipeline)
@staticmethod
def _check_copyable(obj):
def _check_copyable(obj: Any) -> None:
if not hasattr(obj, "copy") or not callable(getattr(obj, "copy")):
raise ValueError(f"Object of type {type(obj)} must have a 'copy' method")
def add_route(
self,
name: str,
condition: Callable[[T], bool],
pipeline: U,
) -> "Router[T, U]":
condition: Callable[[Dict[str, Any]], bool],
pipeline: Any,
) -> "Router":
"""
Add a named route with its condition and corresponding pipeline to the router.
@@ -60,7 +54,7 @@ class Router(BaseModel, Generic[T, U]):
self._route_types[name] = type(pipeline)
return self
def route(self, input_data: T) -> Tuple[U, str]:
def route(self, input_data: Dict[str, Any]) -> Tuple[Any, str]:
"""
Evaluate the input against the conditions and return the appropriate pipeline.
@@ -76,15 +70,15 @@ class Router(BaseModel, Generic[T, U]):
return self.default, "default"
def copy(self) -> "Router[T, U]":
def copy(self) -> "Router":
"""Create a deep copy of the Router."""
new_routes = {
name: Route(
condition=deepcopy(route.condition),
pipeline=route.pipeline.copy(), # type: ignore
pipeline=route.pipeline.copy(),
)
for name, route in self.routes.items()
}
new_default = self.default.copy() # type: ignore
new_default = self.default.copy()
return Router(routes=new_routes, default=new_default)

View File

@@ -9,13 +9,21 @@ from hashlib import md5
from typing import Any, Dict, List, Optional, Tuple, Type, Union
from opentelemetry.trace import Span
from pydantic import UUID4, BaseModel, Field, field_validator, model_validator
from pydantic import (
UUID4,
BaseModel,
Field,
PrivateAttr,
field_validator,
model_validator,
)
from pydantic_core import PydanticCustomError
from crewai.agents.agent_builder.base_agent import BaseAgent
from crewai.tasks.output_format import OutputFormat
from crewai.tasks.task_output import TaskOutput
from crewai.telemetry.telemetry import Telemetry
from crewai.utilities.config import process_config
from crewai.utilities.converter import Converter, convert_to_model
from crewai.utilities.i18n import I18N
@@ -39,9 +47,6 @@ class Task(BaseModel):
tools: List of tools/resources limited for task execution.
"""
class Config:
arbitrary_types_allowed = True
__hash__ = object.__hash__ # type: ignore
used_tools: int = 0
tools_errors: int = 0
@@ -104,16 +109,27 @@ class Task(BaseModel):
default=None,
)
_telemetry: Telemetry
_execution_span: Span | None = None
_original_description: str | None = None
_original_expected_output: str | None = None
_thread: threading.Thread | None = None
_execution_time: float | None = None
_telemetry: Telemetry = PrivateAttr(default_factory=Telemetry)
_execution_span: Optional[Span] = PrivateAttr(default=None)
_original_description: Optional[str] = PrivateAttr(default=None)
_original_expected_output: Optional[str] = PrivateAttr(default=None)
_thread: Optional[threading.Thread] = PrivateAttr(default=None)
_execution_time: Optional[float] = PrivateAttr(default=None)
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
@model_validator(mode="before")
@classmethod
def process_model_config(cls, values):
return process_config(values, cls)
@model_validator(mode="after")
def validate_required_fields(self):
required_fields = ["description", "expected_output"]
for field in required_fields:
if getattr(self, field) is None:
raise ValueError(
f"{field} must be provided either directly or through config"
)
return self
@field_validator("id", mode="before")
@classmethod
@@ -137,12 +153,6 @@ class Task(BaseModel):
return value[1:]
return value
@model_validator(mode="after")
def set_private_attrs(self) -> "Task":
"""Set private attributes."""
self._telemetry = Telemetry()
return self
@model_validator(mode="after")
def set_attributes_based_on_config(self) -> "Task":
"""Set attributes based on the agent configuration."""
@@ -185,7 +195,7 @@ class Task(BaseModel):
expected_output = self._original_expected_output or self.expected_output
source = [description, expected_output]
return md5("|".join(source).encode()).hexdigest()
return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()
def execute_async(
self,
@@ -240,7 +250,9 @@ class Task(BaseModel):
pydantic_output, json_output = self._export_output(result)
task_output = TaskOutput(
name=self.name,
description=self.description,
expected_output=self.expected_output,
raw=result,
pydantic=pydantic_output,
json_dict=json_output,

View File

@@ -10,6 +10,10 @@ class TaskOutput(BaseModel):
"""Class that represents the result of a task."""
description: str = Field(description="Description of the task")
name: Optional[str] = Field(description="Name of the task", default=None)
expected_output: Optional[str] = Field(
description="Expected output of the task", default=None
)
summary: Optional[str] = Field(description="Summary of the task", default=None)
raw: str = Field(description="Raw output of the task", default="")
pydantic: Optional[BaseModel] = Field(

View File

@@ -1 +1,3 @@
from .telemetry import Telemetry
__all__ = ["Telemetry"]

View File

@@ -295,7 +295,7 @@ class Telemetry:
pass
def individual_test_result_span(
self, crew: Crew, quality: int, exec_time: int, model_name: str
self, crew: Crew, quality: float, exec_time: int, model_name: str
):
if self.ready:
try:

View File

@@ -1,5 +1,5 @@
from langchain.tools import StructuredTool
from pydantic import BaseModel, ConfigDict, Field
from pydantic import BaseModel, Field
from crewai.agents.cache import CacheHandler
@@ -7,11 +7,10 @@ from crewai.agents.cache import CacheHandler
class CacheTools(BaseModel):
"""Default tools to hit the cache."""
model_config = ConfigDict(arbitrary_types_allowed=True)
name: str = "Hit Cache"
cache_handler: CacheHandler = Field(
description="Cache Handler for the crew",
default=CacheHandler(),
default_factory=CacheHandler,
)
def tool(self):

View File

@@ -1,6 +1,6 @@
import ast
from difflib import SequenceMatcher
import os
from difflib import SequenceMatcher
from textwrap import dedent
from typing import Any, List, Union
@@ -15,7 +15,7 @@ from crewai.utilities import I18N, Converter, ConverterError, Printer
agentops = None
if os.environ.get("AGENTOPS_API_KEY"):
try:
import agentops
import agentops # type: ignore
except ImportError:
pass
@@ -71,14 +71,14 @@ class ToolUsage:
self.task = task
self.action = action
self.function_calling_llm = function_calling_llm
# Handling bug (see https://github.com/langchain-ai/langchain/pull/16395): raise an error if tools_names have space for ChatOpenAI
if isinstance(self.function_calling_llm, ChatOpenAI):
if " " in self.tools_names:
raise Exception(
"Tools names should not have spaces for ChatOpenAI models."
)
# Set the maximum parsing attempts for bigger models
if (isinstance(self.function_calling_llm, ChatOpenAI)) and (
self.function_calling_llm.openai_api_base is None
@@ -118,7 +118,7 @@ class ToolUsage:
tool: BaseTool,
calling: Union[ToolCalling, InstructorToolCalling],
) -> str: # TODO: Fix this return type
tool_event = agentops.ToolEvent(name=calling.tool_name) if agentops else None
tool_event = agentops.ToolEvent(name=calling.tool_name) if agentops else None # type: ignore
if self._check_tool_repeated_usage(calling=calling): # type: ignore # _check_tool_repeated_usage of "ToolUsage" does not return a value (it only ever returns None)
try:
result = self._i18n.errors("task_repeated_usage").format(

View File

@@ -0,0 +1,40 @@
from typing import Any, Dict, Type
from pydantic import BaseModel
def process_config(
values: Dict[str, Any], model_class: Type[BaseModel]
) -> Dict[str, Any]:
"""
Process the config dictionary and update the values accordingly.
Args:
values (Dict[str, Any]): The dictionary of values to update.
model_class (Type[BaseModel]): The Pydantic model class to reference for field validation.
Returns:
Dict[str, Any]: The updated values dictionary.
"""
config = values.get("config", {})
if not config:
return values
# Copy values from config (originally from YAML) to the model's attributes.
# Only copy if the attribute isn't already set, preserving any explicitly defined values.
for key, value in config.items():
if key not in model_class.model_fields:
continue
if values.get(key) is not None:
continue
if isinstance(value, (str, int, float, bool, list)):
values[key] = value
elif isinstance(value, dict):
if isinstance(values.get(key), dict):
values[key].update(value)
else:
values[key] = value
# Remove the config from values to avoid duplicate processing
values.pop("config", None)
return values

View File

@@ -1,13 +1,13 @@
from datetime import datetime
from pydantic import BaseModel, Field, PrivateAttr
from crewai.utilities.printer import Printer
class Logger:
_printer = Printer()
def __init__(self, verbose=False):
self.verbose = verbose
class Logger(BaseModel):
verbose: bool = Field(default=False)
_printer: Printer = PrivateAttr(default_factory=Printer)
def log(self, level, message, color="bold_green"):
if self.verbose:

View File

@@ -1,5 +1,6 @@
import re
class YamlParser:
@staticmethod
def parse(file):
@@ -16,7 +17,9 @@ class YamlParser:
# Replace single { and } with doubled ones, while leaving already doubled ones intact and the other special characters {# and {%
modified_content = re.sub(r"(?<!\{){(?!\{)(?!\#)(?!\%)", "{{", content)
modified_content = re.sub(r"(?<!\})(?<!\%)(?<!\#)\}(?!})", "}}", modified_content)
modified_content = re.sub(
r"(?<!\})(?<!\%)(?<!\#)\}(?!})", "}}", modified_content
)
# Check for 'context:' not followed by '[' and raise an error
if re.search(r"context:(?!\s*\[)", modified_content):

View File

@@ -1,14 +1,25 @@
from typing import Any, List, Optional
from langchain_openai import ChatOpenAI
from pydantic import BaseModel
from pydantic import BaseModel, Field
from crewai.agent import Agent
from crewai.task import Task
class PlanPerTask(BaseModel):
task: str = Field(..., description="The task for which the plan is created")
plan: str = Field(
...,
description="The step by step plan on how the agents can execute their tasks using the available tools with mastery",
)
class PlannerTaskPydanticOutput(BaseModel):
list_of_plans_per_task: List[str]
list_of_plans_per_task: List[PlanPerTask] = Field(
...,
description="Step by step plan on how the agents can execute their tasks using the available tools with mastery",
)
class CrewPlanner:

View File

@@ -1,44 +1,50 @@
import threading
import time
from typing import Union
from typing import Optional
from pydantic import BaseModel, ConfigDict, Field, PrivateAttr, model_validator
from pydantic import BaseModel, Field, PrivateAttr, model_validator
from crewai.utilities.logger import Logger
class RPMController(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
max_rpm: Union[int, None] = Field(default=None)
logger: Logger = Field(default=None)
max_rpm: Optional[int] = Field(default=None)
logger: Logger = Field(default_factory=lambda: Logger(verbose=False))
_current_rpm: int = PrivateAttr(default=0)
_timer: threading.Timer | None = PrivateAttr(default=None)
_lock: threading.Lock = PrivateAttr(default=None)
_shutdown_flag = False
_timer: Optional[threading.Timer] = PrivateAttr(default=None)
_lock: Optional[threading.Lock] = PrivateAttr(default=None)
_shutdown_flag: bool = PrivateAttr(default=False)
@model_validator(mode="after")
def reset_counter(self):
if self.max_rpm:
if self.max_rpm is not None:
if not self._shutdown_flag:
self._lock = threading.Lock()
self._reset_request_count()
return self
def check_or_wait(self):
if not self.max_rpm:
if self.max_rpm is None:
return True
with self._lock:
if self._current_rpm < self.max_rpm:
def _check_and_increment():
if self.max_rpm is not None and self._current_rpm < self.max_rpm:
self._current_rpm += 1
return True
else:
elif self.max_rpm is not None:
self.logger.log(
"info", "Max RPM reached, waiting for next minute to start."
)
self._wait_for_next_minute()
self._current_rpm = 1
return True
return True
if self._lock:
with self._lock:
return _check_and_increment()
else:
return _check_and_increment()
def stop_rpm_counter(self):
if self._timer:
@@ -50,10 +56,18 @@ class RPMController(BaseModel):
self._current_rpm = 0
def _reset_request_count(self):
with self._lock:
def _reset():
self._current_rpm = 0
if not self._shutdown_flag:
self._timer = threading.Timer(60.0, self._reset_request_count)
self._timer.start()
if self._lock:
with self._lock:
_reset()
else:
_reset()
if self._timer:
self._shutdown_flag = True
self._timer.cancel()
self._timer = threading.Timer(60.0, self._reset_request_count)
self._timer.start()

View File

@@ -4,11 +4,6 @@ from unittest import mock
from unittest.mock import patch
import pytest
from langchain.tools import tool
from langchain_core.exceptions import OutputParserException
from langchain_openai import ChatOpenAI
from langchain.schema import AgentAction
from crewai import Agent, Crew, Task
from crewai.agents.cache import CacheHandler
from crewai.agents.executor import CrewAgentExecutor
@@ -16,6 +11,10 @@ from crewai.agents.parser import CrewAgentParser
from crewai.tools.tool_calling import InstructorToolCalling
from crewai.tools.tool_usage import ToolUsage
from crewai.utilities import RPMController
from langchain.schema import AgentAction
from langchain.tools import tool
from langchain_core.exceptions import OutputParserException
from langchain_openai import ChatOpenAI
def test_agent_creation():
@@ -817,7 +816,7 @@ def test_agent_definition_based_on_dict():
"verbose": True,
}
agent = Agent(config=config)
agent = Agent(**config)
assert agent.role == "test role"
assert agent.goal == "test goal"
@@ -837,7 +836,7 @@ def test_agent_human_input():
"backstory": "test backstory",
}
agent = Agent(config=config)
agent = Agent(**config)
task = Task(
agent=agent,

View File

@@ -0,0 +1,94 @@
import unittest
from unittest.mock import MagicMock, patch
import requests
from crewai.cli.authentication.main import AuthenticationCommand
class TestAuthenticationCommand(unittest.TestCase):
def setUp(self):
self.auth_command = AuthenticationCommand()
@patch("crewai.cli.authentication.main.requests.post")
def test_get_device_code(self, mock_post):
mock_response = MagicMock()
mock_response.json.return_value = {
"device_code": "123456",
"user_code": "ABCDEF",
"verification_uri_complete": "https://example.com",
"interval": 5,
}
mock_post.return_value = mock_response
device_code_data = self.auth_command._get_device_code()
self.assertEqual(device_code_data["device_code"], "123456")
self.assertEqual(device_code_data["user_code"], "ABCDEF")
self.assertEqual(
device_code_data["verification_uri_complete"], "https://example.com"
)
self.assertEqual(device_code_data["interval"], 5)
@patch("crewai.cli.authentication.main.console.print")
@patch("crewai.cli.authentication.main.webbrowser.open")
def test_display_auth_instructions(self, mock_open, mock_print):
device_code_data = {
"verification_uri_complete": "https://example.com",
"user_code": "ABCDEF",
}
self.auth_command._display_auth_instructions(device_code_data)
mock_print.assert_any_call("1. Navigate to: ", "https://example.com")
mock_print.assert_any_call("2. Enter the following code: ", "ABCDEF")
mock_open.assert_called_once_with("https://example.com")
@patch("crewai.cli.authentication.main.requests.post")
@patch("crewai.cli.authentication.main.validate_token")
@patch("crewai.cli.authentication.main.console.print")
def test_poll_for_token_success(self, mock_print, mock_validate_token, mock_post):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {
"id_token": "TOKEN",
"access_token": "ACCESS_TOKEN",
}
mock_post.return_value = mock_response
self.auth_command._poll_for_token({"device_code": "123456"})
mock_validate_token.assert_called_once_with("TOKEN")
mock_print.assert_called_once_with("\nWelcome to CrewAI+ !!", style="green")
@patch("crewai.cli.authentication.main.requests.post")
@patch("crewai.cli.authentication.main.console.print")
def test_poll_for_token_error(self, mock_print, mock_post):
mock_response = MagicMock()
mock_response.status_code = 400
mock_response.json.return_value = {
"error": "invalid_request",
"error_description": "Invalid request",
}
mock_post.return_value = mock_response
with self.assertRaises(requests.HTTPError):
self.auth_command._poll_for_token({"device_code": "123456"})
mock_print.assert_not_called()
@patch("crewai.cli.authentication.main.requests.post")
@patch("crewai.cli.authentication.main.console.print")
def test_poll_for_token_timeout(self, mock_print, mock_post):
mock_response = MagicMock()
mock_response.status_code = 400
mock_response.json.return_value = {
"error": "authorization_pending",
"error_description": "Authorization pending",
}
mock_post.return_value = mock_response
self.auth_command._poll_for_token({"device_code": "123456", "interval": 0.01})
mock_print.assert_called_once_with(
"Timeout: Failed to get the token. Please try again.", style="bold red"
)

View File

@@ -0,0 +1,147 @@
import json
import unittest
from datetime import datetime, timedelta
from unittest.mock import MagicMock, patch
from crewai.cli.authentication.utils import TokenManager, validate_token
from cryptography.fernet import Fernet
class TestValidateToken(unittest.TestCase):
@patch("crewai.cli.authentication.utils.AsymmetricSignatureVerifier")
@patch("crewai.cli.authentication.utils.TokenVerifier")
def test_validate_token(self, mock_token_verifier, mock_asymmetric_verifier):
mock_verifier_instance = mock_token_verifier.return_value
mock_id_token = "mock_id_token"
validate_token(mock_id_token)
mock_asymmetric_verifier.assert_called_once_with(
"https://dev-jzsr0j8zs0atl5ha.us.auth0.com/.well-known/jwks.json"
)
mock_token_verifier.assert_called_once_with(
signature_verifier=mock_asymmetric_verifier.return_value,
issuer="https://dev-jzsr0j8zs0atl5ha.us.auth0.com/",
audience="CZtyRHuVW80HbLSjk4ggXNzjg4KAt7Oe",
)
mock_verifier_instance.verify.assert_called_once_with(mock_id_token)
class TestTokenManager(unittest.TestCase):
def setUp(self):
self.token_manager = TokenManager()
@patch("crewai.cli.authentication.utils.TokenManager.read_secure_file")
@patch("crewai.cli.authentication.utils.TokenManager.save_secure_file")
@patch("crewai.cli.authentication.utils.TokenManager._get_or_create_key")
def test_get_or_create_key_existing(self, mock_get_or_create, mock_save, mock_read):
mock_key = Fernet.generate_key()
mock_get_or_create.return_value = mock_key
token_manager = TokenManager()
result = token_manager.key
self.assertEqual(result, mock_key)
@patch("crewai.cli.authentication.utils.Fernet.generate_key")
@patch("crewai.cli.authentication.utils.TokenManager.read_secure_file")
@patch("crewai.cli.authentication.utils.TokenManager.save_secure_file")
def test_get_or_create_key_new(self, mock_save, mock_read, mock_generate):
mock_key = b"new_key"
mock_read.return_value = None
mock_generate.return_value = mock_key
result = self.token_manager._get_or_create_key()
self.assertEqual(result, mock_key)
mock_read.assert_called_once_with("secret.key")
mock_generate.assert_called_once()
mock_save.assert_called_once_with("secret.key", mock_key)
@patch("crewai.cli.authentication.utils.TokenManager.save_secure_file")
def test_save_tokens(self, mock_save):
access_token = "test_token"
expires_in = 3600
self.token_manager.save_tokens(access_token, expires_in)
mock_save.assert_called_once()
args = mock_save.call_args[0]
self.assertEqual(args[0], "tokens.enc")
decrypted_data = self.token_manager.fernet.decrypt(args[1])
data = json.loads(decrypted_data)
self.assertEqual(data["access_token"], access_token)
expiration = datetime.fromisoformat(data["expiration"])
self.assertAlmostEqual(
expiration,
datetime.now() + timedelta(seconds=expires_in),
delta=timedelta(seconds=1),
)
@patch("crewai.cli.authentication.utils.TokenManager.read_secure_file")
def test_get_token_valid(self, mock_read):
access_token = "test_token"
expiration = (datetime.now() + timedelta(hours=1)).isoformat()
data = {"access_token": access_token, "expiration": expiration}
encrypted_data = self.token_manager.fernet.encrypt(json.dumps(data).encode())
mock_read.return_value = encrypted_data
result = self.token_manager.get_token()
self.assertEqual(result, access_token)
@patch("crewai.cli.authentication.utils.TokenManager.read_secure_file")
def test_get_token_expired(self, mock_read):
access_token = "test_token"
expiration = (datetime.now() - timedelta(hours=1)).isoformat()
data = {"access_token": access_token, "expiration": expiration}
encrypted_data = self.token_manager.fernet.encrypt(json.dumps(data).encode())
mock_read.return_value = encrypted_data
result = self.token_manager.get_token()
self.assertIsNone(result)
@patch("crewai.cli.authentication.utils.TokenManager.get_secure_storage_path")
@patch("builtins.open", new_callable=unittest.mock.mock_open)
@patch("crewai.cli.authentication.utils.os.chmod")
def test_save_secure_file(self, mock_chmod, mock_open, mock_get_path):
mock_path = MagicMock()
mock_get_path.return_value = mock_path
filename = "test_file.txt"
content = b"test_content"
self.token_manager.save_secure_file(filename, content)
mock_path.__truediv__.assert_called_once_with(filename)
mock_open.assert_called_once_with(mock_path.__truediv__.return_value, "wb")
mock_open().write.assert_called_once_with(content)
mock_chmod.assert_called_once_with(mock_path.__truediv__.return_value, 0o600)
@patch("crewai.cli.authentication.utils.TokenManager.get_secure_storage_path")
@patch(
"builtins.open", new_callable=unittest.mock.mock_open, read_data=b"test_content"
)
def test_read_secure_file_exists(self, mock_open, mock_get_path):
mock_path = MagicMock()
mock_get_path.return_value = mock_path
mock_path.__truediv__.return_value.exists.return_value = True
filename = "test_file.txt"
result = self.token_manager.read_secure_file(filename)
self.assertEqual(result, b"test_content")
mock_path.__truediv__.assert_called_once_with(filename)
mock_open.assert_called_once_with(mock_path.__truediv__.return_value, "rb")
@patch("crewai.cli.authentication.utils.TokenManager.get_secure_storage_path")
def test_read_secure_file_not_exists(self, mock_get_path):
mock_path = MagicMock()
mock_get_path.return_value = mock_path
mock_path.__truediv__.return_value.exists.return_value = False
filename = "test_file.txt"
result = self.token_manager.read_secure_file(filename)
self.assertIsNone(result)
mock_path.__truediv__.assert_called_once_with(filename)

View File

@@ -2,8 +2,19 @@ from unittest import mock
import pytest
from click.testing import CliRunner
from crewai.cli.cli import reset_memories, test, train, version
from crewai.cli.cli import (
deploy_create,
deploy_list,
deploy_logs,
deploy_push,
deploy_remove,
deply_status,
reset_memories,
signup,
test,
train,
version,
)
@pytest.fixture
@@ -163,3 +174,106 @@ def test_test_invalid_string_iterations(evaluate_crew, runner):
"Usage: test [OPTIONS]\nTry 'test --help' for help.\n\nError: Invalid value for '-n' / '--n_iterations': 'invalid' is not a valid integer.\n"
in result.output
)
@mock.patch("crewai.cli.cli.AuthenticationCommand")
def test_signup(command, runner):
mock_auth = command.return_value
result = runner.invoke(signup)
assert result.exit_code == 0
mock_auth.signup.assert_called_once()
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_create(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deploy_create)
assert result.exit_code == 0
mock_deploy.create_crew.assert_called_once()
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_list(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deploy_list)
assert result.exit_code == 0
mock_deploy.list_crews.assert_called_once()
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_push(command, runner):
mock_deploy = command.return_value
uuid = "test-uuid"
result = runner.invoke(deploy_push, ["-u", uuid])
assert result.exit_code == 0
mock_deploy.deploy.assert_called_once_with(uuid=uuid)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_push_no_uuid(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deploy_push)
assert result.exit_code == 0
mock_deploy.deploy.assert_called_once_with(uuid=None)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_status(command, runner):
mock_deploy = command.return_value
uuid = "test-uuid"
result = runner.invoke(deply_status, ["-u", uuid])
assert result.exit_code == 0
mock_deploy.get_crew_status.assert_called_once_with(uuid=uuid)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_status_no_uuid(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deply_status)
assert result.exit_code == 0
mock_deploy.get_crew_status.assert_called_once_with(uuid=None)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_logs(command, runner):
mock_deploy = command.return_value
uuid = "test-uuid"
result = runner.invoke(deploy_logs, ["-u", uuid])
assert result.exit_code == 0
mock_deploy.get_crew_logs.assert_called_once_with(uuid=uuid)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_logs_no_uuid(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deploy_logs)
assert result.exit_code == 0
mock_deploy.get_crew_logs.assert_called_once_with(uuid=None)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_remove(command, runner):
mock_deploy = command.return_value
uuid = "test-uuid"
result = runner.invoke(deploy_remove, ["-u", uuid])
assert result.exit_code == 0
mock_deploy.remove_crew.assert_called_once_with(uuid=uuid)
@mock.patch("crewai.cli.cli.DeployCommand")
def test_deploy_remove_no_uuid(command, runner):
mock_deploy = command.return_value
result = runner.invoke(deploy_remove)
assert result.exit_code == 0
mock_deploy.remove_crew.assert_called_once_with(uuid=None)

View File

@@ -0,0 +1,102 @@
import unittest
from os import environ
from unittest.mock import MagicMock, patch
from crewai.cli.deploy.api import CrewAPI
class TestCrewAPI(unittest.TestCase):
def setUp(self):
self.api_key = "test_api_key"
self.api = CrewAPI(self.api_key)
def test_init(self):
self.assertEqual(self.api.api_key, self.api_key)
self.assertEqual(
self.api.headers,
{
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
},
)
@patch("crewai.cli.deploy.api.requests.request")
def test_make_request(self, mock_request):
mock_response = MagicMock()
mock_request.return_value = mock_response
response = self.api._make_request("GET", "test_endpoint")
mock_request.assert_called_once_with(
"GET", f"{self.api.base_url}/test_endpoint", headers=self.api.headers
)
self.assertEqual(response, mock_response)
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_deploy_by_name(self, mock_make_request):
self.api.deploy_by_name("test_project")
mock_make_request.assert_called_once_with("POST", "by-name/test_project/deploy")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_deploy_by_uuid(self, mock_make_request):
self.api.deploy_by_uuid("test_uuid")
mock_make_request.assert_called_once_with("POST", "test_uuid/deploy")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_status_by_name(self, mock_make_request):
self.api.status_by_name("test_project")
mock_make_request.assert_called_once_with("GET", "by-name/test_project/status")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_status_by_uuid(self, mock_make_request):
self.api.status_by_uuid("test_uuid")
mock_make_request.assert_called_once_with("GET", "test_uuid/status")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_logs_by_name(self, mock_make_request):
self.api.logs_by_name("test_project")
mock_make_request.assert_called_once_with(
"GET", "by-name/test_project/logs/deployment"
)
self.api.logs_by_name("test_project", "custom_log")
mock_make_request.assert_called_with(
"GET", "by-name/test_project/logs/custom_log"
)
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_logs_by_uuid(self, mock_make_request):
self.api.logs_by_uuid("test_uuid")
mock_make_request.assert_called_once_with("GET", "test_uuid/logs/deployment")
self.api.logs_by_uuid("test_uuid", "custom_log")
mock_make_request.assert_called_with("GET", "test_uuid/logs/custom_log")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_delete_by_name(self, mock_make_request):
self.api.delete_by_name("test_project")
mock_make_request.assert_called_once_with("DELETE", "by-name/test_project")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_delete_by_uuid(self, mock_make_request):
self.api.delete_by_uuid("test_uuid")
mock_make_request.assert_called_once_with("DELETE", "test_uuid")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_list_crews(self, mock_make_request):
self.api.list_crews()
mock_make_request.assert_called_once_with("GET", "")
@patch("crewai.cli.deploy.api.CrewAPI._make_request")
def test_create_crew(self, mock_make_request):
payload = {"name": "test_crew"}
self.api.create_crew(payload)
mock_make_request.assert_called_once_with("POST", "", json=payload)
@patch.dict(environ, {"CREWAI_BASE_URL": "https://custom-url.com/api"})
def test_custom_base_url(self):
custom_api = CrewAPI("test_key")
self.assertEqual(
custom_api.base_url,
"https://custom-url.com/api",
)

View File

@@ -0,0 +1,153 @@
import unittest
from io import StringIO
from unittest.mock import MagicMock, patch
from crewai.cli.deploy.main import DeployCommand
class TestDeployCommand(unittest.TestCase):
@patch("crewai.cli.deploy.main.get_auth_token")
@patch("crewai.cli.deploy.main.get_project_name")
@patch("crewai.cli.deploy.main.CrewAPI")
def setUp(self, mock_crew_api, mock_get_project_name, mock_get_auth_token):
self.mock_get_auth_token = mock_get_auth_token
self.mock_get_project_name = mock_get_project_name
self.mock_crew_api = mock_crew_api
self.mock_get_auth_token.return_value = "test_token"
self.mock_get_project_name.return_value = "test_project"
self.deploy_command = DeployCommand()
self.mock_client = self.deploy_command.client
def test_init_success(self):
self.assertEqual(self.deploy_command.project_name, "test_project")
self.mock_crew_api.assert_called_once_with(api_key="test_token")
@patch("crewai.cli.deploy.main.get_auth_token")
def test_init_failure(self, mock_get_auth_token):
mock_get_auth_token.side_effect = Exception("Auth failed")
with self.assertRaises(SystemExit):
DeployCommand()
def test_handle_error(self):
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command._handle_error(
{"error": "Test error", "message": "Test message"}
)
self.assertIn("Error: Test error", fake_out.getvalue())
self.assertIn("Message: Test message", fake_out.getvalue())
def test_standard_no_param_error_message(self):
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command._standard_no_param_error_message()
self.assertIn("No UUID provided", fake_out.getvalue())
def test_display_deployment_info(self):
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command._display_deployment_info(
{"uuid": "test-uuid", "status": "deployed"}
)
self.assertIn("Deploying the crew...", fake_out.getvalue())
self.assertIn("test-uuid", fake_out.getvalue())
self.assertIn("deployed", fake_out.getvalue())
def test_display_logs(self):
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command._display_logs(
[{"timestamp": "2023-01-01", "level": "INFO", "message": "Test log"}]
)
self.assertIn("2023-01-01 - INFO: Test log", fake_out.getvalue())
@patch("crewai.cli.deploy.main.DeployCommand._display_deployment_info")
def test_deploy_with_uuid(self, mock_display):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {"uuid": "test-uuid"}
self.mock_client.deploy_by_uuid.return_value = mock_response
self.deploy_command.deploy(uuid="test-uuid")
self.mock_client.deploy_by_uuid.assert_called_once_with("test-uuid")
mock_display.assert_called_once_with({"uuid": "test-uuid"})
@patch("crewai.cli.deploy.main.DeployCommand._display_deployment_info")
def test_deploy_with_project_name(self, mock_display):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {"uuid": "test-uuid"}
self.mock_client.deploy_by_name.return_value = mock_response
self.deploy_command.deploy()
self.mock_client.deploy_by_name.assert_called_once_with("test_project")
mock_display.assert_called_once_with({"uuid": "test-uuid"})
@patch("crewai.cli.deploy.main.fetch_and_json_env_file")
@patch("crewai.cli.deploy.main.get_git_remote_url")
@patch("builtins.input")
def test_create_crew(self, mock_input, mock_get_git_remote_url, mock_fetch_env):
mock_fetch_env.return_value = {"ENV_VAR": "value"}
mock_get_git_remote_url.return_value = "https://github.com/test/repo.git"
mock_input.return_value = ""
mock_response = MagicMock()
mock_response.status_code = 201
mock_response.json.return_value = {"uuid": "new-uuid", "status": "created"}
self.mock_client.create_crew.return_value = mock_response
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command.create_crew()
self.assertIn("Deployment created successfully!", fake_out.getvalue())
self.assertIn("new-uuid", fake_out.getvalue())
def test_list_crews(self):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = [
{"name": "Crew1", "uuid": "uuid1", "status": "active"},
{"name": "Crew2", "uuid": "uuid2", "status": "inactive"},
]
self.mock_client.list_crews.return_value = mock_response
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command.list_crews()
self.assertIn("Crew1 (uuid1) active", fake_out.getvalue())
self.assertIn("Crew2 (uuid2) inactive", fake_out.getvalue())
def test_get_crew_status(self):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = {"name": "TestCrew", "status": "active"}
self.mock_client.status_by_name.return_value = mock_response
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command.get_crew_status()
self.assertIn("TestCrew", fake_out.getvalue())
self.assertIn("active", fake_out.getvalue())
def test_get_crew_logs(self):
mock_response = MagicMock()
mock_response.status_code = 200
mock_response.json.return_value = [
{"timestamp": "2023-01-01", "level": "INFO", "message": "Log1"},
{"timestamp": "2023-01-02", "level": "ERROR", "message": "Log2"},
]
self.mock_client.logs_by_name.return_value = mock_response
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command.get_crew_logs(None)
self.assertIn("2023-01-01 - INFO: Log1", fake_out.getvalue())
self.assertIn("2023-01-02 - ERROR: Log2", fake_out.getvalue())
def test_remove_crew(self):
mock_response = MagicMock()
mock_response.status_code = 204
self.mock_client.delete_by_name.return_value = mock_response
with patch("sys.stdout", new=StringIO()) as fake_out:
self.deploy_command.remove_crew(None)
self.assertIn(
"Crew 'test_project' removed successfully", fake_out.getvalue()
)

View File

@@ -8,7 +8,6 @@ from unittest.mock import MagicMock, patch
import pydantic_core
import pytest
from crewai.agent import Agent
from crewai.agents.cache import CacheHandler
from crewai.crew import Crew

View File

@@ -25,14 +25,20 @@ def mock_crew_factory():
MockCrewClass = type("MockCrew", (MagicMock, Crew), {})
class MockCrew(MockCrewClass):
def __deepcopy__(self, memo):
def __deepcopy__(self):
result = MockCrewClass()
result.kickoff_async = self.kickoff_async
result.name = self.name
return result
def copy(
self,
):
return self
crew = MockCrew()
crew.name = name
task_output = TaskOutput(
description="Test task", raw="Task output", agent="Test Agent"
)
@@ -44,9 +50,15 @@ def mock_crew_factory():
pydantic=pydantic_output,
)
async def async_kickoff(inputs=None):
async def kickoff_async(inputs=None):
return crew_output
# Create an AsyncMock for kickoff_async
crew.kickoff_async = AsyncMock(side_effect=kickoff_async)
# Mock the synchronous kickoff method
crew.kickoff = MagicMock(return_value=crew_output)
# Add more attributes that Procedure might be expecting
crew.verbose = False
crew.output_log_file = None
@@ -56,30 +68,16 @@ def mock_crew_factory():
crew.config = None
crew.cache = True
# # Create a valid Agent instance
mock_agent = Agent(
name="Mock Agent",
role="Mock Role",
goal="Mock Goal",
backstory="Mock Backstory",
allow_delegation=False,
verbose=False,
)
# Create a valid Task instance
mock_task = Task(
description="Return: Test output",
expected_output="Test output",
agent=mock_agent,
async_execution=False,
context=None,
)
# Add non-empty agents and tasks
mock_agent = MagicMock(spec=Agent)
mock_task = MagicMock(spec=Task)
mock_task.agent = mock_agent
mock_task.async_execution = False
mock_task.context = None
crew.agents = [mock_agent]
crew.tasks = [mock_task]
crew.kickoff_async = AsyncMock(side_effect=async_kickoff)
return crew
return _create_mock_crew
@@ -477,31 +475,17 @@ async def test_pipeline_with_parallel_stages_end_in_single_stage(mock_crew_facto
"""
Test that Pipeline correctly handles parallel stages.
"""
crew1 = Crew(name="Crew 1", tasks=[task], agents=[agent])
crew2 = Crew(name="Crew 2", tasks=[task], agents=[agent])
crew3 = Crew(name="Crew 3", tasks=[task], agents=[agent])
crew4 = Crew(name="Crew 4", tasks=[task], agents=[agent])
crew1 = mock_crew_factory(name="Crew 1")
crew2 = mock_crew_factory(name="Crew 2")
crew3 = mock_crew_factory(name="Crew 3")
crew4 = mock_crew_factory(name="Crew 4")
pipeline = Pipeline(stages=[crew1, [crew2, crew3], crew4])
input_data = [{"initial": "data"}]
pipeline_result = await pipeline.kickoff(input_data)
with patch.object(Crew, "kickoff_async") as mock_kickoff:
mock_kickoff.return_value = CrewOutput(
raw="Test output",
tasks_output=[
TaskOutput(
description="Test task", raw="Task output", agent="Test Agent"
)
],
token_usage=DEFAULT_TOKEN_USAGE,
json_dict=None,
pydantic=None,
)
pipeline_result = await pipeline.kickoff(input_data)
mock_kickoff.assert_called_with(inputs={"initial": "data"})
crew1.kickoff_async.assert_called_once_with(inputs={"initial": "data"})
assert len(pipeline_result) == 1
pipeline_result_1 = pipeline_result[0]
@@ -649,33 +633,21 @@ Options:
@pytest.mark.asyncio
async def test_pipeline_data_accumulation():
crew1 = Crew(name="Crew 1", tasks=[task], agents=[agent])
crew2 = Crew(name="Crew 2", tasks=[task], agents=[agent])
async def test_pipeline_data_accumulation(mock_crew_factory):
crew1 = mock_crew_factory(name="Crew 1", output_json_dict={"key1": "value1"})
crew2 = mock_crew_factory(name="Crew 2", output_json_dict={"key2": "value2"})
pipeline = Pipeline(stages=[crew1, crew2])
input_data = [{"initial": "data"}]
results = await pipeline.kickoff(input_data)
with patch.object(Crew, "kickoff_async") as mock_kickoff:
mock_kickoff.side_effect = [
CrewOutput(
raw="Test output from Crew 1",
tasks_output=[],
token_usage=DEFAULT_TOKEN_USAGE,
json_dict={"key1": "value1"},
pydantic=None,
),
CrewOutput(
raw="Test output from Crew 2",
tasks_output=[],
token_usage=DEFAULT_TOKEN_USAGE,
json_dict={"key2": "value2"},
pydantic=None,
),
]
# Check that crew1 was called with only the initial input
crew1.kickoff_async.assert_called_once_with(inputs={"initial": "data"})
results = await pipeline.kickoff(input_data)
# Check that crew2 was called with the combined input from the initial data and crew1's output
crew2.kickoff_async.assert_called_once_with(
inputs={"initial": "data", "key1": "value1"}
)
# Check the final output
assert len(results) == 1

View File

@@ -14,6 +14,14 @@ class SimpleCrew:
def simple_task(self):
return Task(description="Simple Description", expected_output="Simple Output")
@task
def custom_named_task(self):
return Task(
description="Simple Description",
expected_output="Simple Output",
name="Custom",
)
def test_agent_memoization():
crew = SimpleCrew()
@@ -33,3 +41,15 @@ def test_task_memoization():
assert (
first_call_result is second_call_result
), "Task memoization is not working as expected"
def test_task_name():
simple_task = SimpleCrew().simple_task()
assert (
simple_task.name == "simple_task"
), "Task name is not inferred from function name as expected"
custom_named_task = SimpleCrew().custom_named_task()
assert (
custom_named_task.name == "Custom"
), "Custom task name is not being set as expected"

View File

@@ -1,8 +1,8 @@
"""Test Agent creation and execution basic functionality."""
import os
import hashlib
import json
import os
from unittest.mock import MagicMock, patch
import pytest
@@ -98,6 +98,7 @@ def test_task_callback():
task_completed = MagicMock(return_value="done")
task = Task(
name="Brainstorm",
description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
expected_output="Bullet point list of 5 interesting ideas.",
agent=researcher,
@@ -109,6 +110,10 @@ def test_task_callback():
task.execute_sync(agent=researcher)
task_completed.assert_called_once_with(task.output)
assert task.output.description == task.description
assert task.output.expected_output == task.expected_output
assert task.output.name == task.name
def test_task_callback_returns_task_output():
from crewai.tasks.output_format import OutputFormat
@@ -149,6 +154,8 @@ def test_task_callback_returns_task_output():
"json_dict": None,
"agent": researcher.role,
"summary": "Give me a list of 5 interesting ideas to explore...",
"name": None,
"expected_output": "Bullet point list of 5 interesting ideas.",
"output_format": OutputFormat.RAW,
}
assert output_dict == expected_output
@@ -696,7 +703,7 @@ def test_task_definition_based_on_dict():
"expected_output": "The score of the title.",
}
task = Task(config=config)
task = Task(**config)
assert task.description == config["description"]
assert task.expected_output == config["expected_output"]
@@ -709,7 +716,7 @@ def test_conditional_task_definition_based_on_dict():
"expected_output": "The score of the title.",
}
task = ConditionalTask(config=config, condition=lambda x: True)
task = ConditionalTask(**config, condition=lambda x: True)
assert task.description == config["description"]
assert task.expected_output == config["expected_output"]

View File

@@ -6,7 +6,11 @@ from langchain_openai import ChatOpenAI
from crewai.agent import Agent
from crewai.task import Task
from crewai.tasks.task_output import TaskOutput
from crewai.utilities.planning_handler import CrewPlanner, PlannerTaskPydanticOutput
from crewai.utilities.planning_handler import (
CrewPlanner,
PlannerTaskPydanticOutput,
PlanPerTask,
)
class TestCrewPlanner:
@@ -44,12 +48,17 @@ class TestCrewPlanner:
return CrewPlanner(tasks, planning_agent_llm)
def test_handle_crew_planning(self, crew_planner):
list_of_plans_per_task = [
PlanPerTask(task="Task1", plan="Plan 1"),
PlanPerTask(task="Task2", plan="Plan 2"),
PlanPerTask(task="Task3", plan="Plan 3"),
]
with patch.object(Task, "execute_sync") as execute:
execute.return_value = TaskOutput(
description="Description",
agent="agent",
pydantic=PlannerTaskPydanticOutput(
list_of_plans_per_task=["Plan 1", "Plan 2", "Plan 3"]
list_of_plans_per_task=list_of_plans_per_task
),
)
result = crew_planner._handle_crew_planning()
@@ -91,7 +100,9 @@ class TestCrewPlanner:
execute.return_value = TaskOutput(
description="Description",
agent="agent",
pydantic=PlannerTaskPydanticOutput(list_of_plans_per_task=["Plan 1"]),
pydantic=PlannerTaskPydanticOutput(
list_of_plans_per_task=[PlanPerTask(task="Task1", plan="Plan 1")]
),
)
result = crew_planner_different_llm._handle_crew_planning()