KeyArgo
/
smolagents
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix managed agent example (#562) 

Co-authored-by: Aymeric Roucher <69208727+aymeric-roucher@users.noreply.github.com>
This commit is contained in:
Parteek 2025-02-09 21:40:51 +05:30 committed by GitHub
parent 3fc2d0e4e8
commit 881ce13635
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 5 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
docs/source/en/guided_tour.md
View File

@ -344,19 +344,18 @@ It empirically yields better performance on most benchmarks. The reason for this
You can easily build hierarchical multi-agent systems with `smolagents`.
To do so, encapsulate the agent in a [`ManagedAgent`] object. This object needs arguments `agent`, `name`, and a `description`, which will then be embedded in the manager agent's system prompt to let it know how to call this managed agent, as we also do for tools.
To create a managed agent, give your `CodeAgent` or `ToolCallingAgent` the attributes `name` and `description` - these are mandatory to make the agent callable by its manager agent. The manager agent will receive the managed agent via its managed_agents argument during initialization.
Here's an example of making an agent that managed a specific web search agent using our [`DuckDuckGoSearchTool`]:
```py
from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool, ManagedAgent
from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool, ToolCallingAgent
model = HfApiModel()
web_agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
managed_web_agent = ManagedAgent(
agent=web_agent,
managed_web_agent = CodeAgent(
tools=[DuckDuckGoSearchTool()],
model=model,
name="web_search",
description="Runs web searches for you. Give it your query as an argument."
)