> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Run Agents • AI Agents Framework
> run_agents: Runs the agents and returns the result.
# run\_agents
Async
Function
> This function is defined in the [**chainlit\_ui**](../modules/chainlit_ui) module.
Runs the agents and returns the result.
```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#8B0000', 'primaryTextColor': '#fff', 'primaryBorderColor': '#710101', 'lineColor': '#189AB4', 'secondaryColor': '#189AB4', 'tertiaryColor': '#fff' }}}%%
graph LR
input["Input Data"] --> agent["Agent: run_agents"]
agent --> output["Output Result"]
style agent fill:#8B0000,color:#fff
style input fill:#8B0000,color:#fff
style output fill:#8B0000,color:#fff
```
## Signature
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
async def run_agents(agent_file: str, framework: str) -> Any
```
## Parameters
No description available.
No description available.
### Returns
The result of the operation.
## Uses
* `AgentsGenerator`
* `StringIO`
* `redirect_stdout`
* `agents_generator.generate_crew_and_kickoff`
* `stdout_buffer.getvalue`
* `cl.Step`
* `splitlines`
* `step.stream_token`
* `output`
* `cl.step`
## Source
`praisonai/chainlit_ui.py` at line 186
***
## Related Documentation