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LlmReply carried a bare `microjoules`, and charge_llm_step tagged every model step Estimated. A backend that ran a model in this process and read it on a live counter (an eoc-local backend's MeterSpan, now backed by the per-process counter) had no way to say so. Its measured figure was recorded as an estimate. - LlmReply carries a JouleCost. LlmReply::new is the provider's estimate, as before, and LlmReply::with_cost gives a figure with its grade. - charge_llm_step records the provider's cost as graded and charges the budget that figure. - NeuralProvider wraps any in-process NeuralBackend as an LlmProvider. The reply's energy is the backend's own JouleCost. Tokens are counted from the text (approx_tokens, or the model's tokenizer through with_token_counter) and feed only the token budget. A model served over the network still reports an estimate: it ran on hardware no counter here reads. Tests: an MlcBackend metered by an advancing counter gives a measured span, and a held, failed or stub counter gives the estimate. A whole ReAct run records the model step measured. Reverting charge_llm_step to always-estimated fails both end-to-end tests. Co-Authored-By: Claude Opus 5.5 <[email protected]> |
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| eoc | ||
| eoc-agent | ||
| eoc-cache | ||
| eoc-carbon | ||
| eoc-cascade | ||
| eoc-core | ||
| eoc-distributed | ||
| eoc-embeddings | ||
| eoc-eval | ||
| eoc-graph | ||
| eoc-kv | ||
| eoc-local | ||
| eoc-memory | ||
| eoc-meter | ||
| eoc-multimodal | ||
| eoc-neural | ||
| eoc-observability | ||
| eoc-quantize | ||
| eoc-rag | ||
| eoc-rerank | ||
| eoc-route-learned | ||
| eoc-safety | ||
| eoc-spec-decode | ||
| eoc-streaming | ||
| eoc-tools | ||
| eoc-vendor-api | ||
| eoc-wasm | ||