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feature: human input per task (#395)

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* feature: human input per task

* Update executor.py

* Update executor.py

* Update executor.py

* Update executor.py

* Update executor.py

* feat: change human input for unit testing
added documentation and unit test

* Create test_agent_human_input.yaml

add yaml for test

---------

Co-authored-by: João Moura <joaomdmoura@gmail.com>
This commit is contained in:
GabeKoga
2024-04-01 10:04:56 -03:00
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parent 22ab99cbd6
commit bcf701b287
7 changed files with 449 additions and 12 deletions
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docs/how-to/Human-Input-on-Execution.md
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@@ -1,6 +1,6 @@
---
title: Human Input on Execution
description: Comprehensive guide on integrating CrewAI with human input during execution in complex decision-making processes or when needed help during complex tasks.
description: Comprehensive guide on integrating CrewAI with human input during execution in complex decision-making processes or when needed help during complex tasks.
---
# Human Input in Agent Execution
@@ -9,7 +9,7 @@ Human input plays a pivotal role in several agent execution scenarios, enabling
## Using Human Input with CrewAI
Incorporating human input with CrewAI is straightforward, enhancing the agent's ability to make informed decisions. While the documentation previously mentioned using a "LangChain Tool" and a specific "DuckDuckGoSearchRun" tool from `langchain_community.tools`, it's important to clarify that the integration of such tools should align with the actual capabilities and configurations defined within your `Agent` class setup.
Incorporating human input with CrewAI is straightforward, enhancing the agent's ability to make informed decisions. While the documentation previously mentioned using a "LangChain Tool" and a specific "DuckDuckGoSearchRun" tool from `langchain_community.tools`, it's important to clarify that the integration of such tools should align with the actual capabilities and configurations defined within your `Agent` class setup. Now it is a simple flag in the task itself that needs to be turned on.
### Example:
@@ -23,14 +23,10 @@ import os
from crewai import Agent, Task, Crew
from crewai_tools import SerperDevTool
from langchain.agents import load_tools
os.environ["SERPER_API_KEY"] = "Your Key" # serper.dev API key
os.environ["OPENAI_API_KEY"] = "Your Key"
# Loading Human Tools
human_tools = load_tools(["human"])
# Loading Tools
search_tool = SerperDevTool()
# Define your agents with roles, goals, and tools
@@ -44,7 +40,7 @@ researcher = Agent(
),
verbose=True,
allow_delegation=False,
tools=[search_tool]+human_tools # Passing human tools to the agent
tools=[search_tool]
)
writer = Agent(
role='Tech Content Strategist',
@@ -67,6 +63,7 @@ task1 = Task(
),
expected_output='A comprehensive full report on the latest AI advancements in 2024, leave nothing out',
agent=researcher,
human_input=True, # setting the flag on for human input in this task
)
task2 = Task(