Adds opt-in `nativeTools?: ReadonlyArray<Tool.Def>` to `LLM.StreamInput`
so callers that route through the native path can attach typed
opencode tool definitions alongside the AI SDK `tools` record. The
gate in `runNative` widens accordingly: a session can use the native
path when it has zero tools (existing behavior) OR when it explicitly
provides `nativeTools` matching its AI SDK `tools` (new opt-in). When
`nativeTools` reaches `LLMNative.request`, the existing
`toolDefinition` converter folds each `Tool.Def` into the request's
`tools` array and the LLM core lowers it onto the wire.
This commit deliberately does NOT include the dispatch loop. A
session that opts in by setting `nativeTools` and that triggers a
`tool-call` from the model will see the call event but no
`tool-result` because the native path has no execute handler yet.
That's why no production caller populates `nativeTools`: phase 2
step 2b will land the dispatch loop and only then will real
production sessions route through here.
What this lays in place:
- `StreamInput.nativeTools` typed against `Tool.Def[]` from `@/tool`.
Aliased to `OpenCodeTool` at the import to dodge a clash with the
AI SDK `Tool` type that the same file already imports.
- The `runNative` gate flips from "no tools allowed" to "either no
tools, or `nativeTools` is supplied". An AI SDK tool count > 0
with `nativeTools` undefined still falls through, so existing
production sessions are unaffected.
- `LLMNative.request` already accepted `tools: ReadonlyArray<Tool.Def>`
and converts via `toolDefinition`. We just forward the input
through; no LLM-bridge change.
Smoke coverage: a new test in `llm-native-stream.test.ts` builds a
typed `Tool.Def` (Effect Schema parameters), routes it through
`LLMNative.request` + `LLMClient.prepare`, and asserts the prepared
Anthropic target carries the tool as an `input_schema` block with
the expected JSON Schema shape. This validates the conversion path
that phase 2 step 2b will exercise from inside `runNative`.
Verification: opencode typecheck clean; 35/0/0 across the three
bridge-area tests (`llm-native.test.ts`, `llm-native-stream.test.ts`,
`llm-bridge.test.ts`).
Kit Langton
fa8f7a1dca