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adding new docs and smaller fixes

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João Moura
2024-02-04 11:47:49 -08:00
parent e23773e5de
commit e2f18e4ee5
22 changed files with 372 additions and 236 deletions
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8
docs/how-to/Human-Input-on-Execution.md
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@@ -1,7 +1,7 @@
# Human Input on Execution
Human inputs is important in many agent execution use cases, humans are AGI so they can can be prompted to step in and provide extra details ins necessary.
Using it with crewAI is pretty straightforward and you can do it through a LangChain Tool.
Using it with crewAI is pretty straightforward and you can do it through a LangChain Tool.
Check [LangChain Integration](https://python.langchain.com/docs/integrations/tools/human_tools) for more details:
Example:
@@ -9,7 +9,7 @@ Example:
```python
import os
from crewai import Agent, Task, Crew, Process
from langchain.tools import DuckDuckGoSearchRun
from langchain_community.tools import DuckDuckGoSearchRun
from langchain.agents import load_tools
search_tool = DuckDuckGoSearchRun()
@@ -45,7 +45,7 @@ writer = Agent(
task1 = Task(
description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
Identify key trends, breakthrough technologies, and potential industry impacts.
Compile your findings in a detailed report.
Compile your findings in a detailed report.
Make sure to check with the human if the draft is good before returning your Final Answer.
Your final answer MUST be a full analysis report""",
agent=researcher
@@ -56,7 +56,7 @@ task2 = Task(
post that highlights the most significant AI advancements.
Your post should be informative yet accessible, catering to a tech-savvy audience.
Aim for a narrative that captures the essence of these breakthroughs and their
implications for the future.
implications for the future.
Your final answer MUST be the full blog post of at least 3 paragraphs.""",
agent=writer
)