refactor(ai): make OpenAI Responses extend Open Responses (#38681)

packages/ai/test/exports.test.ts

@@ -11,7 +11,13 @@ import {
   XAI,
 } from "@opencode-ai/ai/providers"
 import * as GitHubCopilot from "@opencode-ai/ai/providers/github-copilot"
-import { OpenAIChat, OpenAICompatibleChat, OpenAICompatibleResponses, OpenAIResponses } from "@opencode-ai/ai/protocols"
+import {
+  OpenAIChat,
+  OpenAICompatibleChat,
+  OpenAICompatibleResponses,
+  OpenAIResponses,
+  OpenResponses,
+} from "@opencode-ai/ai/protocols"
 import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
 
 describe("public exports", () => {
@@ -74,7 +80,9 @@ describe("public exports", () => {
   test("protocol barrels expose supported low-level routes", () => {
     expect(OpenAIChat.route.id).toBe("openai-chat")
     expect(OpenAICompatibleChat.route.id).toBe("openai-compatible-chat")
+    expect(OpenResponses.protocol.id).toBe("open-responses")
     expect(OpenAICompatibleResponses.route.id).toBe("openai-compatible-responses")
+    expect(OpenAICompatibleResponses.route.protocol).toBe("open-responses")
     expect(OpenAIResponses.route.id).toBe("openai-responses")
     expect(OpenAIResponses.webSocketRoute.id).toBe("openai-responses-websocket")
     expect(AnthropicMessages.route.id).toBe("anthropic-messages")

packages/ai/test/provider-package.test.ts

@@ -59,7 +59,7 @@ describe("provider package entrypoints", () => {
       headers: { "x-application": "opencode" },
       body: { service_tier: "priority" },
       limits: { context: 200_000, output: 64_000 },
-      providerOptions: { openai: { reasoningEffort: "low", store: true } },
+      providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
     })
 
     expect(String(selected.provider)).toBe("example")
@@ -72,7 +72,7 @@ describe("provider package entrypoints", () => {
     expect(selected.route.defaults.http?.body).toEqual({ service_tier: "priority" })
     expect(selected.route.defaults.limits).toEqual({ context: 200_000, output: 64_000 })
     expect(selected.route.defaults.providerOptions).toEqual({
-      openai: { reasoningEffort: "low", store: true },
+      openresponses: { reasoningEffort: "low", store: true },
     })
   })
 
@@ -235,12 +235,12 @@ describe("provider package entrypoints", () => {
       path: "/chat/completions",
     })
     expect(responses.route.id).toBe("google-vertex-responses")
-    expect(responses.route.protocol).toBe("openai-responses")
+    expect(responses.route.protocol).toBe("open-responses")
     expect(responses.route.endpoint).toMatchObject({
       baseURL: "https://aiplatform.googleapis.com/v1/projects/vertex-project/locations/global/endpoints/openapi",
       path: "/responses",
     })
-    expect(responses.route.defaults.providerOptions).toEqual({ openai: { store: false } })
+    expect(responses.route.defaults.providerOptions).toEqual({ openresponses: { store: false } })
   })
 
   test("rejects conflicting Vertex auth settings at runtime", async () => {

packages/ai/test/provider/openai-compatible-responses.test.ts

@@ -1,17 +1,22 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM } from "../../src"
+import { LLM, LLMEvent } from "../../src"
 import { configure } from "../../src/providers/openai-compatible-responses"
+import { OpenAI } from "../../src/providers"
+import { OpenResponses } from "../../src/protocols/open-responses"
 import { OpenAICompatibleResponses } from "../../src/protocols/openai-compatible-responses"
 import { OpenAIResponses } from "../../src/protocols/openai-responses"
 import { LLMClient } from "../../src/route"
 import { it } from "../lib/effect"
+import { fixedResponse } from "../lib/http"
+import { sseEvents } from "../lib/sse"
 
-describe("OpenAI-compatible Responses route", () => {
-  it.effect("reuses the OpenAI Responses protocol for a configured deployment", () =>
+describe("Open Responses-compatible route", () => {
+  it.effect("uses the Open Responses baseline for a configured deployment", () =>
     Effect.gen(function* () {
-      expect(OpenAICompatibleResponses.route.body).toBe(OpenAIResponses.protocol.body)
-      expect(OpenAICompatibleResponses.route.transport).toBe(OpenAIResponses.httpTransport)
+      expect(OpenAICompatibleResponses.route.body).toBe(OpenResponses.protocol.body)
+      expect(OpenAICompatibleResponses.route.transport).toBe(OpenResponses.httpTransport)
+      expect(OpenAICompatibleResponses.route.body).not.toBe(OpenAIResponses.protocol.body)
 
       const model = configure({
         apiKey: "test-key",
@@ -27,7 +32,7 @@ describe("OpenAI-compatible Responses route", () => {
       )
 
       expect(prepared.route).toBe("openai-compatible-responses")
-      expect(prepared.protocol).toBe("openai-responses")
+      expect(prepared.protocol).toBe("open-responses")
       expect(prepared.model).toMatchObject({
         id: "example-model",
         provider: "example",
@@ -45,9 +50,67 @@ describe("OpenAI-compatible Responses route", () => {
           { role: "system", content: "You are concise." },
           { role: "user", content: [{ type: "input_text", text: "Say hello." }] },
         ],
-        store: false,
         stream: true,
       })
     }),
   )
+
+  it.effect("rejects OpenAI-native tools", () =>
+    Effect.gen(function* () {
+      const model = configure({
+        apiKey: "test-key",
+        baseURL: "https://responses.example.test/v1",
+      }).model("example-model")
+      const error = yield* LLMClient.prepare(
+        LLM.request({ model, prompt: "Draw.", tools: [OpenAI.imageGeneration()] }),
+      ).pipe(Effect.flip)
+
+      expect(error.reason._tag).toBe("InvalidRequest")
+      expect(error.message).toContain("Open Responses does not support provider-native tool image_generation")
+    }),
+  )
+
+  it.effect("reads standard options from the Open Responses namespace", () =>
+    Effect.gen(function* () {
+      const model = configure({
+        apiKey: "test-key",
+        baseURL: "https://responses.example.test/v1",
+        providerOptions: { openresponses: { reasoningEffort: "low", store: true } },
+      }).model("example-model")
+      const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Think." }))
+
+      expect(prepared.body).toMatchObject({
+        reasoning: { effort: "low" },
+        store: true,
+      })
+    }),
+  )
+
+  it.effect("does not interpret OpenAI hosted-tool items", () =>
+    Effect.gen(function* () {
+      const model = configure({
+        apiKey: "test-key",
+        baseURL: "https://responses.example.test/v1",
+        provider: "example",
+      }).model("example-model")
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Search." })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              {
+                type: "response.output_item.done",
+                item: { type: "web_search_call", id: "ws_1", status: "completed", action: { query: "news" } },
+              },
+              { type: "response.completed", response: { id: "resp_1" } },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.toolCalls).toEqual([])
+      expect(response.events.find(LLMEvent.is.finish)).toMatchObject({
+        providerMetadata: { openresponses: { responseId: "resp_1" } },
+      })
+    }),
+  )
 })