Files
anomalyco_opencode/packages/opencode
Kit Langton 5f08d6cbd6 feat(llm): cachePromptHints patch with first-2 system / last-2 messages policy
Lift the prompt-cache policy out of OpenCode's bridge and into the
LLM package as a typed, gated patch. The policy mirrors the AI-SDK
applyCaching path (packages/opencode/src/provider/transform.ts:229):
mark the first 2 system parts and the last 2 messages with an
ephemeral cache hint, gated on `model.capabilities.cache.prompt`.

Adapters lower the hint structurally — Anthropic emits
`cache_control: { type: "ephemeral" }` on the marked block,
Bedrock emits a positional `cachePoint: { type: "default" }`
after the marked block (added in 9d7d518ac). The capability gate
keeps non-cache adapters (OpenAI Responses, Gemini, OpenAI-compat
Chat) hint-free.

Why a Patch and not bridge code:
- packages/llm/AGENTS.md TODO explicitly calls for cache hint patches
- Other consumers of @opencode-ai/llm get caching for free
- The bridge stays focused on shape conversion (MessageV2 \u2192 LLMRequest)
- Patches compose via ProviderPatch.defaults (now includes this one)
- The capability gate is a typed predicate, not provider-name matching

Implementation:
- New `cachePromptHints` patch in provider/patch.ts. The
  `withCacheOnLastText` helper uses Array.findLastIndex (codebase
  idiom) and short-circuits when no text part exists so messages
  with only tool-result content are returned identity-equal.
- `EPHEMERAL_CACHE` is a single shared CacheHint instance — no
  per-request allocation, preserves `instanceof` for any consumer
  that checks class identity.
- Added to `ProviderPatch.defaults` so existing callers that pass
  `defaults` get cache support automatically.

Tests (5 new in patch.test.ts):
- Marks first 2 system parts on cache-capable models.
- Marks last text part of last 2 messages.
- Targets the last text part when a message has trailing
  non-text content (assistant text + tool-call).
- Returns content unchanged (identity-equal) when no text part
  exists, so pure tool-result messages don't allocate.
- No-op when the model does not advertise prompt caching.

Bridge cleanup:
- Removed `applyCachePolicy`, `withCacheOnLastText`,
  `updateMessageContent`, `EPHEMERAL_CACHE` from llm-native.ts
  (-30 lines of bridge-side cache code).
- Dropped now-unused `CacheHint`, `LLMRequest`, `Message` imports.
- The bridge's only responsibility is now MessageV2 lowering;
  callers wire `patches: ProviderPatch.defaults` at client
  construction.

OpenCode tests rewritten:
- Old: assert on `request.system[N].cache` (bridge internals).
- New: assert on `prepared.target` after running through
  `LLMClient.make({ adapters, patches: ProviderPatch.defaults })
  .prepare(request)` — verifies the full lowering end-to-end.
- Anthropic: target.system[0..1] carry `cache_control: ephemeral`,
  target.messages[1..2] carry it on the final text block.
- Bedrock: target has `cachePoint` markers after each cached block.
- Non-cache (OpenAI Responses): JSON.stringify(target) contains
  none of `cache_control` / `cachePoint` / `ephemeral`.

Verified: bun typecheck clean across both packages, 120/0/0 in LLM
package (was 113; +7 from new patch tests counting parameter
variations), 21/0/0 in OpenCode native+bridge tests.
2026-05-01 08:12:34 -04:00
..
2026-05-01 08:11:27 -04:00
2026-02-25 01:48:10 -05:00
2026-03-27 15:00:26 +01:00
2026-02-14 04:19:02 +00:00
2025-05-30 20:48:36 -04:00
2026-02-18 13:54:23 -05:00

js

To install dependencies:

bun install

To run:

bun run index.ts

This project was created using bun init in bun v1.2.12. Bun is a fast all-in-one JavaScript runtime.