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Fix MultiStepAgent docstring (#336) 

* Fix MultiStepAgent docstring

* Force PR doc build
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Albert Villanova del Moral 2025-01-23 17:38:09 +01:00 committed by GitHub
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docs/source/en/reference/agents.md
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@ -35,17 +35,14 @@ We provide two types of agents, based on the main [`Agent`] class.
Both require arguments `model` and list of tools `tools` at initialization.
### Classes of agents
[[autodoc]] MultiStepAgent
[[autodoc]] CodeAgent
[[autodoc]] ToolCallingAgent
### ManagedAgent
[[autodoc]] ManagedAgent

8
src/smolagents/agents.py
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@ -164,8 +164,8 @@ class MultiStepAgent:
While the objective is not reached, the agent will perform a cycle of action (given by the LLM) and observation (obtained from the environment).
Args:
tools (`list[[`Tool`]]`): List of tools that the agent can use.
model (Callable[[list[dict[str, str]]], [`ChatMessage`]]): Model that will generate the agent's actions.
tools (`list[Tool]`): [`Tool`]s that the agent can use.
model (`Callable[[list[dict[str, str]]], ChatMessage]`): Model that will generate the agent's actions.
system_prompt (`str`, *optional*): System prompt that will be used to generate the agent's actions.
tool_description_template (`str`, *optional*): Template used to describe the tools in the system prompt.
max_steps (`int`, default `6`): Maximum number of steps the agent can take to solve the task.
@ -173,8 +173,8 @@ class MultiStepAgent:
add_base_tools (`bool`, default `False`): Whether to add the base tools to the agent's tools.
verbosity_level (`int`, default `1`): Level of verbosity of the agent's logs.
grammar (`dict[str, str]`, *optional*): Grammar used to parse the LLM output.
managed_agents (`list`, *optional*): List of managed agents that the agent can call.
step_callbacks (`list[Callable]`, *optional*): List of callbacks that will be called at each step.
managed_agents (`list`, *optional*): Managed agents that the agent can call.
step_callbacks (`list[Callable]`, *optional*): Callbacks that will be called at each step.
planning_interval (`int`, *optional*): Interval at which the agent will run a planning step.
"""