support for context caching

[jheym]

root_agent = LlmAgent(
    name="question_answer_agent",
    model="gemini-2.0-flash-001",
    description=(
        "QA Agent Answers Questions about cached content. Its system instructions have already been cached."
    ),
    generate_content_config=types.GenerateContentConfig(
        cached_content=cache.name
    )
)

google.genai.errors.ClientError: 400 INVALID_ARGUMENT. {'error': {'code': 400, 'message': 'Tool config, tools and system instruction should not be set in therequest when using cached content.', 'status': 'INVALID_ARGUMENT

:(

[hangfei]

@jheym could you share a full example to reproduce the issue?

[jheym]

@hangfei This is a feature request. I'm hoping to be able to use context caching out of the box, in a similar manner as the sample code above.

The method shown in the OP isn't supposed to work (I assume), it's just something I wanted to try out. If this is possible another way, please do let me know!

[boyangsvl]

content caching can not be used in agents currently due to how we format the request. This is in our backlog to tackle.

[gisdakis]

Any ETA for this feature?

[heyphat]

I have been looking for this too. Hope it will be available soon.

[arneyjfs]

Also would love this feature for very long system instructions. Glad to see it on the feature roadmap. Is there a plan to add any expected dates to the feature tickets?

[ypenn21]

I have been looking for this feature as well.

[jhammarstedt]

+1