When I run with deepseek-reasoner for the reasoner_agent, and gpt-4o-mini for the other agents, the context window always goes > 128k, so it results in an "exceeded tokens" error. The test was done with the example prompt "search the web" agent.
And when I replace gpt-4o-mini with gemini-2.0-flash (which has much larger context window), it manages to generate an answer. However, I get incorrect and not so long answers. The code for the pydanticAI agent that it tries to form is completely incorrect and not as all as good as the answers generated in the youtube video for Archon.
Do I have to use the o3-mini as reasoner to make this work as good as in the youtube video? Or what can the issue stem from?
When I run with deepseek-reasoner for the reasoner_agent, and gpt-4o-mini for the other agents, the context window always goes > 128k, so it results in an "exceeded tokens" error. The test was done with the example prompt "search the web" agent.
And when I replace gpt-4o-mini with gemini-2.0-flash (which has much larger context window), it manages to generate an answer. However, I get incorrect and not so long answers. The code for the pydanticAI agent that it tries to form is completely incorrect and not as all as good as the answers generated in the youtube video for Archon.
Do I have to use the o3-mini as reasoner to make this work as good as in the youtube video? Or what can the issue stem from?