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refactor(ai): name provider turn operations

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Shoubhit Dash 2026-07-24 23:42:46 +05:30
commit 16df2467fd
11 changed files with 30 additions and 26 deletions
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packages/ai/README.md
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@ -176,7 +176,7 @@ Conversational image generation remains part of the LLM interaction. OpenAI Resp
```ts
const program = Effect.gen(function* () {
const response = yield* LLM.generate(
const response = yield* LLM.generateTurn(
LLM.request({
model: OpenAI.configure({ apiKey }).responses("gpt-5"),
prompt: "Design a solarpunk rooftop garden, then show me.",
@ -193,7 +193,7 @@ The hosted result is represented as a provider-executed tool call and tool resul
## Public API
- **`LLM.request({...})`** — build a provider-neutral `LLMRequest`. Accepts ergonomic inputs (`system: string`, `prompt: string`) that normalize into the canonical Schema classes.
- **`LLM.generate` / `LLM.stream`** — re-exported from `LLMClient` for one-import use.
- **`LLM.generateTurn` / `LLM.streamTurn`** — execute exactly one provider turn, re-exported from `LLMClient` for one-import use.
- **`Message.user(...)` / `Message.assistant(...)` / `Message.tool(...)`** — message constructors from the canonical schema model.
- **`Model.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
- **`LLMClient.prepare(request)`** — compile a request through protocol body construction, validation, and HTTP preparation without sending. Useful for inspection and testing.