Token budgeting controls LLM consumption to manage cost and latency in production AI systems. Articles cover token budget allocation strategies, per-agent limits, and the engineering patterns that prevent runaway LLM costs while maintaining output quality.
1 post tagged with token budgeting. ← All posts
How conversation threads replace session state; how to track token usage across agent chains.
Sessions to threads: porting multi-turn state from ADK to Microsoft Agent Framework. Token budgeting, long-term memory, and conversation audit trails.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.