A newer version of the Gradio SDK is available:
5.35.0
Agents
Smolagents is an experimental API which is subject to change at any time. Results returned by the agents can vary as the APIs or underlying models are prone to change.
To learn more about agents and tools make sure to read the introductory guide. This page contains the API docs for the underlying classes.
Agents
Our agents inherit from [MultiStepAgent
], which means they can act in multiple steps, each step consisting of one thought, then one tool call and execution. Read more in this conceptual guide.
We provide two types of agents, based on the main [Agent
] class.
- [
CodeAgent
] writes its tool calls in Python code (this is the default). - [
ToolCallingAgent
] writes its tool calls in JSON.
Both require arguments model
and list of tools tools
at initialization.
Classes of agents
[[autodoc]] MultiStepAgent
[[autodoc]] CodeAgent
[[autodoc]] ToolCallingAgent
ManagedAgent
This class is deprecated since 1.8.0: now you simply need to pass attributes name
and description
to a normal agent to make it callable by a manager agent.
stream_to_gradio
[[autodoc]] stream_to_gradio
GradioUI
You must have
gradio
installed to use the UI. Please runpip install smolagents[gradio]
if it's not the case.
[[autodoc]] GradioUI
Prompts
[[autodoc]] smolagents.agents.PromptTemplates
[[autodoc]] smolagents.agents.PlanningPromptTemplate
[[autodoc]] smolagents.agents.ManagedAgentPromptTemplate
[[autodoc]] smolagents.agents.FinalAnswerPromptTemplate
Memory
Smolagents use memory to store information across multiple steps.
[[autodoc]] smolagents.memory.AgentMemory