What latency and cost budget is right for agent systems?
Why This Question Matters
Agent systems turn inference into a product constraint: latency, throughput, routing, local versus hosted execution, and token cost shape what can be shipped.
Current Working Answer
This page is a first-pass research question, not a final recommendation. Use the linked evidence to refine the answer as more exact session recordings, transcripts, and reviewed slide readings become available.
Source Evidence
- inference engineering — Topic synthesis
- vllm — Tool inventory
- modal — Tool inventory
- openrouter — Tool inventory
- tokenspeed — Tool inventory
- 2026 06 29 charles frye what is an inference engine anyway — Official schedule
- 2026 06 29 du an lightfoot agents that own their inference building production ai agents on dedicated gpus — Official schedule
- 2026 07 01 qianru lao routing llm inference in production from engine signals to policy — Official schedule
- 2026 06 30 jesse hall latency is a budget humanlike is the goal — Official schedule
- 2026 07 01 sujee maniyam optimizing open models for production grade inference — Official schedule
- youtube DeFF3J8T5Pk slides — Slide/OCR evidence
- youtube ESbWpPT_9 o slides — Slide/OCR evidence
- youtube sRpqPgKeXNk slides — Slide/OCR evidence
Follow-Up
- Extract specific claims from the linked source pages.
- Separate official schedule evidence from supporting YouTube, transcript, and OCR evidence.
- Convert stable answers into playbooks, harnesses, or evaluations where appropriate.