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I tried many methods to make ADK output deepseek-r1 or qwen3 thinking content, but I failed. If you know how to implement it, please let me know.

Hello, got question how to return generated image during async def execution function Im using adk agent which has a tool which call imagen model to generate image. Then i would like to get back this image in my host agent All tutorials focus on Part which is Text not FileData or something

Hello there, Ive a question maybe some1 already tried: I want to create root agent who will have agent as a tool (2x) and I wondering if there is possibility to pass input audio to these tools rather then only TEXT ```python affect_alignment_agent = Agent( model="gemini-2.0-flash-exp", name="affect_alignment_agent", description="Affect alignment agent", instruction=affect_aligment, ) engagement_agent = Agent( model="gemini-2.0-flash-exp", name="engagement_agent", description="Engagement agent", instruction=engagement, affect_alignment_tool = agent_tool.AgentTool(agent=affect_alignment_agent) # Wrap the agent engagement_tool = agent_tool.AgentTool(agent=engagement_agent) # Wrap the agent root_agent = Agent( model="gemini-2.0-flash-exp", name="root_agent", description="Root agent that coordinates the affect alignment and engagement agents", instruction=""" You are responsible for coordinating the affect alignment and engagement agents tools. Send user input to the tools and wait for their responses. Combine the responses from the tools and send the final response to the user. """, tools=[affect_alignment_tool, engagement_tool], ) ``` what I can see from the log: ``` Raw response: {"candidates":[{"content":{"parts":[{"text":"```text\nDetected Emotional State: Neutral (valence = 0.5, arousal = 0.5). Delta from baseline: No significant change.\nStrategy: Maintain a neutral and friendly tone as the user's emotional state is currently stable.\n\nResponse: \"Hello! I'm doing well, thank you for asking. How can I assist you today?\"\n```\n"}],"role":"model"},"finish_reason":"STOP","avg_logprobs":-0.13121765087812376}],"model_version":"gemini-2.0-flash-exp","usage_metadata":{"candidates_token_count":78,"candidates_tokens_details":[{"modality":"TEXT","token_count":78}],"prompt_token_count":1111,"prompt_tokens_details":[{"modality":"TEXT","token_count":1111}],"total_token_count":1189},"automatic_function_calling_history":[]} ``` Im not pretty sure that these response was base on AUDIO. It looks like it is base on TEXT only.

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