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13d1df2140
`AgentExecutor` already has support for limiting the number of iterations. But the amount of time taken for each iteration can vary quite a bit, so it is difficult to place limits on the execution time. This PR adds a new field `max_execution_time` to the `AgentExecutor` model. When called asynchronously, the agent loop is wrapped in an `asyncio.timeout()` context which triggers the early stopping response if the time limit is reached. When called synchronously, the agent loop checks for both the max_iteration limit and the time limit after each iteration. When used asynchronously `max_execution_time` gives really tight control over the max time for an execution chain. When used synchronously, the chain can unfortunately exceed max_execution_time, but it still gives more control than trying to estimate the number of max_iterations needed to cap the execution time. --------- Co-authored-by: Zachary Jones <zjones@zetaglobal.com> |
1 year ago | |
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| .. | ||
| __init__.py | 1 year ago | |
| apify.py | 1 year ago | |
| asyncio.py | 1 year ago | |
| bash.py | 1 year ago | |
| bing_search.py | 1 year ago | |
| google_search.py | 1 year ago | |
| google_serper.py | 1 year ago | |
| loading.py | 1 year ago | |
| openweathermap.py | 1 year ago | |
| searx_search.py | 1 year ago | |
| serpapi.py | 1 year ago | |
| wikipedia.py | 1 year ago | |
| wolfram_alpha.py | 1 year ago | |
| zapier.py | 1 year ago | |