When running in non-streaming mode, retrieve past history during tool execution.

[SDGLBL]

Please read this first

• Have you read the docs?Agents SDK docs Yes
• Have you searched for related issues? Others may have had similar requests Yes

Describe the feature

Currently, I'm developing a tool that calls other models. It needs to read the parent agent's history to complete specific tasks, but I haven't found a good way to get this information in a non-streaming context. Right now, I have to resort to methods like this to retrieve it.

context = Context()

r = Runner.run_streamed(
    agent,
    """You are solving a Github issue in the repository.
    You must make the changes to solve, close, or address the issue, directly in the code.""",
    context=context,
    max_turns=200,
)
                                                                                               
context.run_result_streaming = r
await wait_rrs(r)

Then read context.run_result_streaming.new_items it in tool.

When I run in non-streaming mode, I haven't found a way to get new_items during the run.

await Runner.run(
    agent,
    """You are solving a Github issue in the repository.
    You must make the changes to solve, close, or address the issue, directly in the code.""",
    context=context,
    max_turns=200,
)

Q&A

• Why I need this feature

I'm developing an agent that needs to call other inference models during its operation to perform complex inferences on the agent's historical records. I considered handoff, but found that managing the transfer and return of control was quite cumbersome and unstable. Therefore, I had to use tools to call other inference models.

• Why I need to use non-streaming

The agent I'm currently developing is not human-facing, so the simplest non-streaming is sufficient. Moreover, my internal environment doesn't properly support streaming interfaces, making it difficult to use them extensively.