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Explicit compaction (`LanguageModel::compact`) was previously implemented only for OpenAI-routed cloud models, which use a dedicated compact operation proxied through `/completions/compact`. Anthropic models only compacted automatically when a request's `compact_at_tokens` trigger was crossed, leaving consumers without a provider-backed way to request compaction immediately. Anthropic has no compact-on-demand operation, but the `compact_20260112` context-management edit provides the necessary pieces: the lowest trigger the API accepts, 50,000 input tokens, combined with `pause_after_compaction`, which stops the response after the compaction block. Explicit compaction requests remove tools so the internal summarizer must produce replacement context while retaining Anthropic's default summarization prompt. The resulting readable summary, optional opaque provider state, and usage are collected consistently. This implements explicit compaction for both direct and hosted Anthropic models. Hosted requests use the normal `/completions` endpoint; gateway support for forwarding the compaction fields landed in zed-industries/cloud#3216. Models expose the 50,000-token minimum so callers can disable explicit compaction below the provider's floor. Calls made below that floor still fail if the stream produces no finalized compaction context. The existing OpenAI compact operation is moved into a provider-specific helper without changing its request, endpoint, response handling, or provider-state ownership. Testing: - `cargo nextest run -p anthropic -p language_models_cloud -p language_models` - `./script/clippy -p anthropic -p language_model -p language_models_cloud -p language_models` - `cargo fmt --all --check` - `git diff --check` Release Notes: - N/A --------- Co-authored-by: Anant Goel <anant@zed.dev> |
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