refactor(ai): rename llm package
This commit is contained in:
Dax Raad
parent
b6ccb66610
commit
bb15b16499
238 changed files with 209 additions and 210 deletions
16
bun.lock
16
bun.lock
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@ -338,7 +338,7 @@
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"@opencode-ai/codemode": "workspace:*",
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"@opencode-ai/effect-drizzle-sqlite": "workspace:*",
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"@opencode-ai/effect-sqlite-node": "workspace:*",
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"@opencode-ai/llm": "workspace:*",
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"@opencode-ai/ai": "workspace:*",
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"@opencode-ai/plugin": "workspace:*",
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"@opencode-ai/schema": "workspace:*",
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"@openrouter/ai-sdk-provider": "2.9.0",
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@ -561,8 +561,8 @@
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"@typescript/native-preview": "catalog:",
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},
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},
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"packages/llm": {
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"name": "@opencode-ai/llm",
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"packages/ai": {
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"name": "@opencode-ai/ai",
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"version": "1.17.20",
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"dependencies": {
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"@opencode-ai/schema": "workspace:*",
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@ -623,7 +623,7 @@
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"@opencode-ai/cli": "workspace:*",
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"@opencode-ai/client": "workspace:*",
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"@opencode-ai/codemode": "workspace:*",
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"@opencode-ai/llm": "workspace:*",
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"@opencode-ai/ai": "workspace:*",
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"@opencode-ai/plugin": "workspace:*",
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"@opencode-ai/protocol": "workspace:*",
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"@opencode-ai/schema": "workspace:*",
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@ -884,7 +884,7 @@
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"@fontsource/commit-mono": "5.2.5",
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"@napi-rs/canvas": "1.0.2",
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"@opencode-ai/core": "workspace:*",
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"@opencode-ai/llm": "workspace:*",
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"@opencode-ai/ai": "workspace:*",
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"@opentui/core": "catalog:",
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"effect": "catalog:",
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},
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@ -2204,7 +2204,7 @@
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"@opencode-ai/httpapi-codegen": ["@opencode-ai/httpapi-codegen@workspace:packages/httpapi-codegen"],
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"@opencode-ai/llm": ["@opencode-ai/llm@workspace:packages/llm"],
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"@opencode-ai/ai": ["@opencode-ai/ai@workspace:packages/ai"],
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"@opencode-ai/plugin": ["@opencode-ai/plugin@workspace:packages/plugin"],
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@ -6862,9 +6862,9 @@
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"@opencode-ai/desktop/typescript": ["typescript@5.6.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-hjcS1mhfuyi4WW8IWtjP7brDrG2cuDZukyrYrSauoXGNgx0S7zceP07adYkJycEr56BOUTNPzbInooiN3fn1qw=="],
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"@opencode-ai/llm/@smithy/eventstream-codec": ["@smithy/eventstream-codec@4.2.14", "", { "dependencies": { "@aws-crypto/crc32": "5.2.0", "@smithy/types": "^4.14.1", "@smithy/util-hex-encoding": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-erZq0nOIpzfeZdCyzZjdJb4nVSKLUmSkaQUVkRGQTXs30gyUGeKnrYEg+Xe1W5gE3aReS7IgsvANwVPxSzY6Pw=="],
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"@opencode-ai/ai/@smithy/eventstream-codec": ["@smithy/eventstream-codec@4.2.14", "", { "dependencies": { "@aws-crypto/crc32": "5.2.0", "@smithy/types": "^4.14.1", "@smithy/util-hex-encoding": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-erZq0nOIpzfeZdCyzZjdJb4nVSKLUmSkaQUVkRGQTXs30gyUGeKnrYEg+Xe1W5gE3aReS7IgsvANwVPxSzY6Pw=="],
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"@opencode-ai/llm/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
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"@opencode-ai/ai/@smithy/util-utf8": ["@smithy/util-utf8@4.2.2", "", { "dependencies": { "@smithy/util-buffer-from": "^4.2.2", "tslib": "^2.6.2" } }, "sha512-75MeYpjdWRe8M5E3AW0O4Cx3UadweS+cwdXjwYGBW5h/gxxnbeZ877sLPX/ZJA9GVTlL/qG0dXP29JWFCD1Ayw=="],
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"@opencode-ai/script/semver": ["semver@7.8.5", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA=="],
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@ -1,4 +1,4 @@
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# LLM Package Guide
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# AI Package Guide
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## Effect
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@ -115,10 +115,10 @@ Keep provider facades small and explicit:
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### Provider Package Entrypoints
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Catalog-selected native providers use package-like export paths from `@opencode-ai/llm`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
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Catalog-selected native providers use package-like export paths from `@opencode-ai/ai`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
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```ts
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import { model } from "@opencode-ai/llm/providers/openai/responses"
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import { model } from "@opencode-ai/ai/providers/openai/responses"
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const selected = model("gpt-5", {
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apiKey,
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@ -133,7 +133,7 @@ Do not expose `Route` in provider package settings. Route composition stays an i
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### Folder layout
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```
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packages/llm/src/
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packages/ai/src/
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schema/ canonical Schema model, split by concern
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ids.ts branded IDs, literal types, ProviderMetadata
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options.ts Generation/Provider/Http options, Limits, Model, cache policy
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@ -143,7 +143,7 @@ packages/llm/src/
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index.ts barrel
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llm.ts request constructors and convenience helpers
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route/
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index.ts @opencode-ai/llm/route advanced barrel
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index.ts @opencode-ai/ai/route advanced barrel
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client.ts Route.make + LLMClient.prepare/stream/generate
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executor.ts RequestExecutor service + transport error mapping
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protocol.ts Protocol type + Protocol.make
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@ -1,7 +1,7 @@
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# AI Library Design
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> Discussion draft. This document describes the intended replacement for the
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> current private `@opencode-ai/llm` API. Names and exact TypeScript signatures
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> Discussion draft. This document describes an intended clean-break redesign of
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> the current private `@opencode-ai/ai` API. Names and exact TypeScript signatures
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> are illustrative until implementation, but the domain boundaries and defaults
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> are deliberate.
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@ -1074,7 +1074,6 @@ The redesign intentionally removes or changes these current concepts:
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| Current | Proposed |
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| --------------------------------------- | ----------------------------------------------------------- |
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| `@opencode-ai/llm` | `@opencode-ai/ai` |
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| Mandatory `LLM.request({ model, ... })` | Inline calls or model-free portable requests |
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| `LLM.generate` means one turn | `LLM.generate` means complete run |
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| `LLMClient.generate/stream` | `LLM.generateTurn/streamTurn` for one turn |
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@ -1,11 +1,11 @@
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# @opencode-ai/llm
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# @opencode-ai/ai
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Schema-first LLM core for opencode. One typed request, response, event, and tool language; provider quirks live in adapters, not in calling code.
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```ts
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import { Effect } from "effect"
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import { LLM, LLMClient } from "@opencode-ai/llm"
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import { OpenAI } from "@opencode-ai/llm/providers"
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import { LLM, LLMClient } from "@opencode-ai/ai"
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import { OpenAI } from "@opencode-ai/ai/providers"
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const model = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
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@ -95,7 +95,7 @@ Normalized cache usage is read back into `response.usage.cacheReadInputTokens` a
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Provider facades configure endpoint/auth/deployment details first, then expose model selectors that take only a model or deployment id. The selected model carries the executable route value used at runtime.
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```ts
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import { OpenAI, CloudflareAIGateway } from "@opencode-ai/llm/providers"
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import { OpenAI, CloudflareAIGateway } from "@opencode-ai/ai/providers"
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const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).responses("gpt-4o-mini")
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const gateway = CloudflareAIGateway.configure({
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@ -108,10 +108,10 @@ Included providers: OpenAI, Anthropic, Google (Gemini), Google Vertex Gemini and
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### Package-like entrypoints
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Native catalog integrations load provider behavior through package-like entrypoints. These are export paths from the same `@opencode-ai/llm` npm package, not independently published packages. Each entrypoint exports the same `model(modelID, settings)` contract, and `settings` contains serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
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Native catalog integrations load provider behavior through package-like entrypoints. These are export paths from the same `@opencode-ai/ai` npm package, not independently published packages. Each entrypoint exports the same `model(modelID, settings)` contract, and `settings` contains serializable provider configuration plus common `headers`, `body`, and `limits` overlays.
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```ts
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import { model } from "@opencode-ai/llm/providers/openai/responses"
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import { model } from "@opencode-ai/ai/providers/openai/responses"
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const selected = model("gpt-5", {
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apiKey: process.env.OPENAI_API_KEY,
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@ -123,12 +123,12 @@ const selected = model("gpt-5", {
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OpenAI Chat and OpenAI Responses are separate semantic entrypoints:
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- `@opencode-ai/llm/providers/openai/chat`
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- `@opencode-ai/llm/providers/openai/responses`
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- `@opencode-ai/llm/providers/openai-compatible/responses`
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- `@opencode-ai/llm/providers/anthropic-compatible`
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- `@opencode-ai/llm/providers/google-vertex`
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- `@opencode-ai/llm/providers/google-vertex/anthropic`
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- `@opencode-ai/ai/providers/openai/chat`
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- `@opencode-ai/ai/providers/openai/responses`
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- `@opencode-ai/ai/providers/openai-compatible/responses`
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- `@opencode-ai/ai/providers/anthropic-compatible`
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- `@opencode-ai/ai/providers/google-vertex`
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- `@opencode-ai/ai/providers/google-vertex/anthropic`
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Responses HTTP versus WebSocket is a scoped `transport` setting on the OpenAI Responses entrypoint, not another entrypoint. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; compatible Responses is separate at `providers/openai-compatible/responses`. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.
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@ -137,13 +137,13 @@ Vertex Gemini and Vertex Anthropic are separate products with separate entrypoin
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Tuned Vertex Gemini deployments use model ids shaped like `endpoints/1234567890` and require OAuth or ADC; Vertex express-mode API keys support publisher models only.
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```ts
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import { model } from "@opencode-ai/llm/providers/google-vertex"
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import { model } from "@opencode-ai/ai/providers/google-vertex"
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model("gemini-3.5-flash", { project: "my-project", location: "global" })
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```
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```ts
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import { model } from "@opencode-ai/llm/providers/google-vertex/anthropic"
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import { model } from "@opencode-ai/ai/providers/google-vertex/anthropic"
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model("claude-sonnet-4-6", { project: "my-project", location: "global" })
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```
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@ -2,14 +2,14 @@
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Last reviewed: 2026-07-15
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This file tracks the gap between the native `@opencode-ai/llm` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
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This file tracks the gap between the native `@opencode-ai/ai` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.
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## Existing Status Sources
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| File | What it tracks | Limitation |
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| ------------------------------------ | -------------------------------------------------------------------------------- | ------------------------------------------------------- |
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| `packages/llm/DESIGN.md` | Future clean-break API proposal, currently named `@opencode-ai/ai` in the draft. | Not a provider parity tracker. |
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| `packages/llm/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
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| `packages/ai/DESIGN.md` | Future clean-break API proposal for `@opencode-ai/ai`. | Not a provider parity tracker. |
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| `packages/ai/example/call-sites.md` | Route/value/provider-facade migration checklist and call-site sketches. | Architecture migration only; not AI SDK package parity. |
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## Current Implementation Snapshot
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@ -78,21 +78,21 @@ These are implementation/API slices, not separate npm packages.
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| API slice | Package-like entrypoint | Purpose |
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| ----------------------------- | -------------------------------------------------------- | ---------------------------------------------------------------------------- |
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| OpenAI Chat | `@opencode-ai/llm/providers/openai/chat` | OpenAI `/chat/completions` semantics. |
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| OpenAI Responses | `@opencode-ai/llm/providers/openai/responses` | OpenAI `/responses` semantics with HTTP/WebSocket selected through settings. |
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| OpenAI-compatible Chat | `@opencode-ai/llm/providers/openai-compatible` | Generic OpenAI-compatible `/chat/completions`. |
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| OpenAI-compatible Responses | `@opencode-ai/llm/providers/openai-compatible/responses` | Generic OpenAI-compatible `/responses`. |
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| Anthropic-compatible Messages | `@opencode-ai/llm/providers/anthropic-compatible` | Generic Anthropic-compatible `/messages`. |
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| Anthropic Messages | `@opencode-ai/llm/providers/anthropic` | Anthropic Messages API. |
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| Gemini Developer API | `@opencode-ai/llm/providers/google` | Google AI Studio Gemini API. |
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| Vertex Gemini | `@opencode-ai/llm/providers/google-vertex` | Vertex Gemini API. |
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| Vertex Anthropic Messages | `@opencode-ai/llm/providers/google-vertex/anthropic` | Vertex-hosted Anthropic Messages API. |
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| OpenAI Chat | `@opencode-ai/ai/providers/openai/chat` | OpenAI `/chat/completions` semantics. |
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| OpenAI Responses | `@opencode-ai/ai/providers/openai/responses` | OpenAI `/responses` semantics with HTTP/WebSocket selected through settings. |
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| OpenAI-compatible Chat | `@opencode-ai/ai/providers/openai-compatible` | Generic OpenAI-compatible `/chat/completions`. |
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| OpenAI-compatible Responses | `@opencode-ai/ai/providers/openai-compatible/responses` | Generic OpenAI-compatible `/responses`. |
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| Anthropic-compatible Messages | `@opencode-ai/ai/providers/anthropic-compatible` | Generic Anthropic-compatible `/messages`. |
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| Anthropic Messages | `@opencode-ai/ai/providers/anthropic` | Anthropic Messages API. |
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| Gemini Developer API | `@opencode-ai/ai/providers/google` | Google AI Studio Gemini API. |
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| Vertex Gemini | `@opencode-ai/ai/providers/google-vertex` | Vertex Gemini API. |
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| Vertex Anthropic Messages | `@opencode-ai/ai/providers/google-vertex/anthropic` | Vertex-hosted Anthropic Messages API. |
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| Vertex MaaS | Missing | Vertex OpenAI-compatible MaaS APIs. |
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| Vertex xAI | Missing | Vertex-hosted xAI APIs. |
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| Bedrock Converse | `@opencode-ai/llm/providers/amazon-bedrock` | AWS Bedrock Converse API. |
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| Bedrock Converse | `@opencode-ai/ai/providers/amazon-bedrock` | AWS Bedrock Converse API. |
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| Bedrock Mantle | Missing | AWS Bedrock Mantle OpenAI-compatible APIs. |
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| Azure OpenAI Chat | `@opencode-ai/llm/providers/azure/chat` | Azure specialization of OpenAI Chat. |
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| Azure OpenAI Responses | `@opencode-ai/llm/providers/azure/responses` | Azure specialization of OpenAI Responses. |
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| Azure OpenAI Chat | `@opencode-ai/ai/providers/azure/chat` | Azure specialization of OpenAI Chat. |
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| Azure OpenAI Responses | `@opencode-ai/ai/providers/azure/responses` | Azure specialization of OpenAI Responses. |
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## Suggested Next Work Slices
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@ -7,7 +7,7 @@ values directly.
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## Conversation Summary
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Kit and Aidan want provider-specific LLM behavior to move out of opencode's AI
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SDK transform path and into `packages/llm` where possible. The goal is not a big
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SDK transform path and into `packages/ai` where possible. The goal is not a big
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generic transform layer; the goal is small composable route definitions backed by
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recorded golden tests.
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@ -355,7 +355,7 @@ The package-like OpenAI Responses entrypoint instead keeps transport scoped to
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Responses settings while preserving the same `model(...)` contract:
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```ts
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import { model } from "@opencode-ai/llm/providers/openai/responses"
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import { model } from "@opencode-ai/ai/providers/openai/responses"
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model("gpt-4o", { apiKey, transport: "websocket" })
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```
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@ -364,13 +364,13 @@ Vertex keeps Gemini and Anthropic Messages as separate package-like entrypoints,
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while sharing project/location resolution and ADC authentication internally:
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```ts
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import { model } from "@opencode-ai/llm/providers/google-vertex"
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import { model } from "@opencode-ai/ai/providers/google-vertex"
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model("gemini-3.5-flash", { project, location: "global" })
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```
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```ts
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import { model } from "@opencode-ai/llm/providers/google-vertex/anthropic"
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import { model } from "@opencode-ai/ai/providers/google-vertex/anthropic"
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model("claude-sonnet-4-6", { project, location: "global" })
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```
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@ -1,12 +1,12 @@
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import { Config, Effect, Formatter, Layer, Schema, Stream } from "effect"
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import { LLM, LLMClient, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/llm"
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import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor, WebSocketExecutor } from "@opencode-ai/llm/route"
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import { OpenAI } from "@opencode-ai/llm/providers"
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import { LLM, LLMClient, Message, ProviderID, Tool, ToolRuntime } from "@opencode-ai/ai"
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import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor, WebSocketExecutor } from "@opencode-ai/ai/route"
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import { OpenAI } from "@opencode-ai/ai/providers"
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/**
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* A runnable walkthrough of the LLM package use-site API.
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*
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* Run from `packages/llm` with an OpenAI key in the environment:
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* Run from `packages/ai` with an OpenAI key in the environment:
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*
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* OPENAI_API_KEY=... bun example/tutorial.ts
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*
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@ -1,7 +1,7 @@
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{
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"$schema": "https://json.schemastore.org/package.json",
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"version": "1.17.20",
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"name": "@opencode-ai/llm",
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"name": "@opencode-ai/ai",
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"type": "module",
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"license": "MIT",
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"private": true,
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@ -1,7 +1,7 @@
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import { describe, expect, test } from "bun:test"
|
||||
import { LLM, LLMClient, Provider } from "@opencode-ai/llm"
|
||||
import { Route, Protocol } from "@opencode-ai/llm/route"
|
||||
import { Provider as ProviderSubpath } from "@opencode-ai/llm/provider"
|
||||
import { LLM, LLMClient, Provider } from "@opencode-ai/ai"
|
||||
import { Route, Protocol } from "@opencode-ai/ai/route"
|
||||
import { Provider as ProviderSubpath } from "@opencode-ai/ai/provider"
|
||||
import {
|
||||
CloudflareAIGateway,
|
||||
CloudflareWorkersAI,
|
||||
|
|
@ -9,15 +9,15 @@ import {
|
|||
OpenAICompatible,
|
||||
OpenRouter,
|
||||
XAI,
|
||||
} from "@opencode-ai/llm/providers"
|
||||
import * as GitHubCopilot from "@opencode-ai/llm/providers/github-copilot"
|
||||
} from "@opencode-ai/ai/providers"
|
||||
import * as GitHubCopilot from "@opencode-ai/ai/providers/github-copilot"
|
||||
import {
|
||||
OpenAIChat,
|
||||
OpenAICompatibleChat,
|
||||
OpenAICompatibleResponses,
|
||||
OpenAIResponses,
|
||||
} from "@opencode-ai/llm/protocols"
|
||||
import * as AnthropicMessages from "@opencode-ai/llm/protocols/anthropic-messages"
|
||||
} from "@opencode-ai/ai/protocols"
|
||||
import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
|
||||
|
||||
describe("public exports", () => {
|
||||
test("root exposes app-facing runtime APIs", () => {
|
||||
|
|
@ -34,7 +34,7 @@ describe("public exports", () => {
|
|||
})
|
||||
|
||||
test("provider barrels expose user-facing facades", async () => {
|
||||
const { OpenAICompatibleResponses } = await import("@opencode-ai/llm/providers")
|
||||
const { OpenAICompatibleResponses } = await import("@opencode-ai/ai/providers")
|
||||
|
||||
expect(OpenAI.model).toBeFunction()
|
||||
expect(OpenAI.provider.responses).toBe(OpenAI.responses)
|
||||
|
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