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docs: fix typos

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Google Team Member
2025-08-01 01:31:41 -07:00
committed by Copybara-Service
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@@ -14984,16 +14984,16 @@ While you have considerable flexibility in defining your function, remember that
Designed for tasks that require a significant amount of processing time without blocking the agent's execution. This tool is a subclass of `FunctionTool`.
When using a `LongRunningFunctionTool`, your function can initiate the long-running operation and optionally return an **initial result**** (e.g. the long-running operation id). Once a long running function tool is invoked the agent runner will pause the agent run and let the agent client to decide whether to continue or wait until the long-running operation finishes. The agent client can query the progress of the long-running operation and send back an intermediate or final response. The agent can then continue with other tasks. An example is the human-in-the-loop scenario where the agent needs human approval before proceeding with a task.
When using a `LongRunningFunctionTool`, your function can initiate the long-running operation and optionally return an **initial result** (e.g. the long-running operation id). Once a long running function tool is invoked the agent runner will pause the agent run and let the agent client to decide whether to continue or wait until the long-running operation finishes. The agent client can query the progress of the long-running operation and send back an intermediate or final response. The agent can then continue with other tasks. An example is the human-in-the-loop scenario where the agent needs human approval before proceeding with a task.
### How it Works
In Python, you wrap a function with `LongRunningFunctionTool`. In Java, you pass a Method name to `LongRunningFunctionTool.create()`.
In Python, you wrap a function with `LongRunningFunctionTool`. In Java, you pass a Method name to `LongRunningFunctionTool.create()`.
1. **Initiation:** When the LLM calls the tool, your function starts the long-running operation.
2. **Initial Updates:** Your function should optionally return an initial result (e.g. the long-running operaiton id). The ADK framework takes the result and sends it back to the LLM packaged within a `FunctionResponse`. This allows the LLM to inform the user (e.g., status, percentage complete, messages). And then the agent run is ended / paused.
2. **Initial Updates:** Your function should optionally return an initial result (e.g. the long-running operation id). The ADK framework takes the result and sends it back to the LLM packaged within a `FunctionResponse`. This allows the LLM to inform the user (e.g., status, percentage complete, messages). And then the agent run is ended / paused.
3. **Continue or Wait:** After each agent run is completed. Agent client can query the progress of the long-running operation and decide whether to continue the agent run with an intermediate response (to update the progress) or wait until a final response is retrieved. Agent client should send the intermediate or final response back to the agent for the next run.