
1,000 AI agents, 0 LLM calls?
A thousand AI agents run a marathon, and almost none of them ever call the LLM. Check out the full tutorial on our channel and learn:
- When to use an LLM vs deterministic logic
- The before_model_callback trick, keep the agent, skip the model
- Why route planning is deterministic (NP-hard + the Spine & Sprout algorithm)
- How 1,000 autopilot runners make 0 LLM calls
- Where the tokens actually go (the AI decides, the code runs)
- Scaling 1,000 stateless sessions with Redis
Speakers: Casey West, Annie Wang
Products Mentioned: Google Agent Development Kit, Gemini API, Agent Runtime, Google Cloud Pub/Sub, AlloyDB, Agent2Agent Protocol
- When to use an LLM vs deterministic logic
- The before_model_callback trick, keep the agent, skip the model
- Why route planning is deterministic (NP-hard + the Spine & Sprout algorithm)
- How 1,000 autopilot runners make 0 LLM calls
- Where the tokens actually go (the AI decides, the code runs)
- Scaling 1,000 stateless sessions with Redis
Speakers: Casey West, Annie Wang
Products Mentioned: Google Agent Development Kit, Gemini API, Agent Runtime, Google Cloud Pub/Sub, AlloyDB, Agent2Agent Protocol
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