task: Add tok/s and model name to nightly workflow summary - #654
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* origin/main: Ship real client and serving SDKs across Swift, Kotlin, and Node.js (#634) task: Add tok/s and model name to nightly workflow summary (#654) fix(docs): restore docs.anarchai.org as Pages custom domain Update llama.cpp upstream pin Fix skippy smoke llama build directory (#655) Update pinned llama.cpp revision (#646) Normalize non-stream chat tool call IDs chore(github): Add lightweight issue templates to repo Add nightly mesh stability harness (#631) fix(moa): show real tok/s on mesh by reporting effective completion_tokens (#638)
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Priority
Low
What Changed & Why
We want to see which model runs the inference, and how fast. If we see any slowdowns (or speedups!) in the nightly build we can pinpoint when issues were introduced in mesh-llm.
Testing