1. Install via pip
``` pip install crewai-logging-patch```
2. Add import into your main crewai file - This needs to be above any other crewai imports
``` from logger_patch import apply_monkey_patch```
3. Add the patch method to your code - This needs to be above any other crewai imports
```apply_monkey_patch()```
4. Add the following directly below your agent instances - You must use your agent names in place of <placeholder_name>
```<placeholder_name>._logger = crewai.utilities.Logger(verbose_level=<placeholder_name>.verbose)```
5. And the same below your crew instance, again you must use your crew name in place of <placeholder_name>
```<placeholder_name>._logger = crewai.utilities.Logger(verbose_level=<placeholder_name>.verbose)```
6. Ensure that verbose=True is set in your agent and crew instances
7. Below is an example crewfile with all of this implemented
```python
import os
from logger_patch import apply_monkey_patch
# Apply the monkey patch
apply_monkey_patch()
# Now use crewai and other imports as usual
from crewai import Agent, Crew, Task, Process
import crewai.utilities
# Setup LM Studio environment variables
os.environ['OPENAI_API_BASE'] = 'http://localhost:1234/v1'
os.environ['OPENAI_API_KEY'] = 'sk-111111111111111111111111111111111111111111111111'
os.environ['OPENAI_MODEL_NAME'] = 'Meta-Llama-3-8B-Instruct-imatrix'
# Create the agent
try:
researcher = Agent(
role='Researcher',
goal='Research the topic',
backstory='As an expert in the field of {topic}, you will research the topic and provide the necessary information',
max_iter=3,
max_rpm=100,
verbose=True,
allow_delegation=False,
)
# Manually set the logger to ensure it's the patched logger
researcher._logger = crewai.utilities.Logger(verbose_level=researcher.verbose)
# Create the task
research_task = Task(
description='Research the topic',
agent=researcher,
expected_output='5 paragraphs of information on the topic',
output_file='research_result.txt',
)
# Create the crew
crew = Crew(
agents=[researcher],
tasks=[research_task],
process=Process.sequential,
verbose=True,
memory=False,
cache=False,
max_rpm=100,
)
# Manually set the logger for crew to ensure it's the patched logger
crew._logger = crewai.utilities.Logger(verbose_level=crew.verbose)
# Start the crew
result = crew.kickoff(inputs={'topic': '70s, 80s and 90s Australian rock bands'})
except Exception as e:
print(f"An error occurred: {e}")
```
Raw data
{
"_id": null,
"home_page": "https://github.com/theCyberTech/CrewAI_Logger_Patch",
"name": "crewai-logging-patch",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "theCyberTech",
"author_email": "the_t3ch@pm.me",
"download_url": "https://files.pythonhosted.org/packages/4d/c4/9657b2c7fcc74b00e2ec7fcf29cc80308035a697f4f5aa7025b7e3469b4e/crewai_logging_patch-0.5.tar.gz",
"platform": null,
"description": "1. Install via pip \n``` pip install crewai-logging-patch```\n2. Add import into your main crewai file - This needs to be above any other crewai imports\n``` from logger_patch import apply_monkey_patch```\n3. Add the patch method to your code - This needs to be above any other crewai imports\n```apply_monkey_patch()```\n4. Add the following directly below your agent instances - You must use your agent names in place of <placeholder_name>\n```<placeholder_name>._logger = crewai.utilities.Logger(verbose_level=<placeholder_name>.verbose)```\n5. And the same below your crew instance, again you must use your crew name in place of <placeholder_name>\n```<placeholder_name>._logger = crewai.utilities.Logger(verbose_level=<placeholder_name>.verbose)```\n6. Ensure that verbose=True is set in your agent and crew instances\n7. Below is an example crewfile with all of this implemented\n```python\nimport os\nfrom logger_patch import apply_monkey_patch\n\n# Apply the monkey patch\napply_monkey_patch()\n\n# Now use crewai and other imports as usual\nfrom crewai import Agent, Crew, Task, Process\nimport crewai.utilities\n\n# Setup LM Studio environment variables\nos.environ['OPENAI_API_BASE'] = 'http://localhost:1234/v1'\nos.environ['OPENAI_API_KEY'] = 'sk-111111111111111111111111111111111111111111111111'\nos.environ['OPENAI_MODEL_NAME'] = 'Meta-Llama-3-8B-Instruct-imatrix'\n\n# Create the agent\ntry:\n researcher = Agent(\n role='Researcher',\n goal='Research the topic',\n backstory='As an expert in the field of {topic}, you will research the topic and provide the necessary information',\n max_iter=3,\n max_rpm=100,\n verbose=True,\n allow_delegation=False,\n )\n\n # Manually set the logger to ensure it's the patched logger\n researcher._logger = crewai.utilities.Logger(verbose_level=researcher.verbose)\n\n # Create the task\n research_task = Task(\n description='Research the topic',\n agent=researcher,\n expected_output='5 paragraphs of information on the topic',\n output_file='research_result.txt',\n )\n\n\n # Create the crew\n crew = Crew(\n agents=[researcher],\n tasks=[research_task],\n process=Process.sequential,\n verbose=True,\n memory=False,\n cache=False,\n max_rpm=100,\n )\n\n # Manually set the logger for crew to ensure it's the patched logger\n crew._logger = crewai.utilities.Logger(verbose_level=crew.verbose)\n\n # Start the crew\n result = crew.kickoff(inputs={'topic': '70s, 80s and 90s Australian rock bands'})\n\nexcept Exception as e:\n print(f\"An error occurred: {e}\")\n```\n",
"bugtrack_url": null,
"license": "MIT",
"summary": null,
"version": "0.5",
"project_urls": {
"Homepage": "https://github.com/theCyberTech/CrewAI_Logger_Patch"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4d0649746cc0930efbb9c16673e6195e082800c3ebe0df209383f862135fa41e",
"md5": "ec5f9325dba579f5029032230e371f8b",
"sha256": "be9a37f478ea50613baeb224722008f8c19c6ab1241e6d4ca3ca6d0fbe224224"
},
"downloads": -1,
"filename": "crewai_logging_patch-0.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ec5f9325dba579f5029032230e371f8b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 3808,
"upload_time": "2024-05-26T04:18:29",
"upload_time_iso_8601": "2024-05-26T04:18:29.108072Z",
"url": "https://files.pythonhosted.org/packages/4d/06/49746cc0930efbb9c16673e6195e082800c3ebe0df209383f862135fa41e/crewai_logging_patch-0.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "4dc49657b2c7fcc74b00e2ec7fcf29cc80308035a697f4f5aa7025b7e3469b4e",
"md5": "198f3ec5f2c3dd1a62bccccc5812d3cc",
"sha256": "ebefaee304cf2f6c0d75636c81f4012bf5e6fe59dc44d4bc6d5f45f7b1cc33eb"
},
"downloads": -1,
"filename": "crewai_logging_patch-0.5.tar.gz",
"has_sig": false,
"md5_digest": "198f3ec5f2c3dd1a62bccccc5812d3cc",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3268,
"upload_time": "2024-05-26T04:18:30",
"upload_time_iso_8601": "2024-05-26T04:18:30.578087Z",
"url": "https://files.pythonhosted.org/packages/4d/c4/9657b2c7fcc74b00e2ec7fcf29cc80308035a697f4f5aa7025b7e3469b4e/crewai_logging_patch-0.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-26 04:18:30",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "theCyberTech",
"github_project": "CrewAI_Logger_Patch",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "crewai-logging-patch"
}
JSON
