fix(llm): omit stateless response item ids (#34027)

packages/llm/src/protocols/openai-responses.ts

@@ -53,7 +53,7 @@ const OpenAIResponsesReasoningSummaryText = Schema.Struct({
 
 const OpenAIResponsesReasoningItem = Schema.Struct({
   type: Schema.tag("reasoning"),
-  id: Schema.String,
+  id: Schema.optionalKey(Schema.String),
   summary: Schema.Array(OpenAIResponsesReasoningSummaryText),
   encrypted_content: optionalNull(Schema.String),
 })
@@ -101,6 +101,7 @@ type OpenAIResponsesReasoningInput = {
   summary: Array<{ type: "summary_text"; text: string }>
   encrypted_content?: string | null
 }
+type OpenAIResponsesReasoningReplay = Omit<OpenAIResponsesReasoningInput, "id">
 
 const OpenAIResponsesTool = Schema.Struct({
   type: Schema.tag("function"),
@@ -366,7 +367,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
 
     if (message.role === "assistant") {
       const content: TextPart[] = []
-      const reasoningItems: Record<string, OpenAIResponsesReasoningInput> = {}
+      const reasoningItems: Record<string, OpenAIResponsesReasoningReplay> = {}
       const reasoningReferences = new Set<string>()
       const hostedToolReferences = new Set<string>()
       const flushText = () => {
@@ -383,7 +384,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
           flushText()
           const reasoning = lowerReasoning(part)
           if (!reasoning) continue
-          if (store !== false && reasoning.id) {
+          if (store !== false) {
             if (!reasoningReferences.has(reasoning.id)) input.push({ type: "item_reference", id: reasoning.id })
             reasoningReferences.add(reasoning.id)
             continue
@@ -395,8 +396,13 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
               existing.encrypted_content = reasoning.encrypted_content
             continue
           }
-          reasoningItems[reasoning.id] = reasoning
-          input.push(reasoning)
+          const replay = {
+            type: reasoning.type,
+            summary: reasoning.summary,
+            encrypted_content: reasoning.encrypted_content,
+          }
+          reasoningItems[reasoning.id] = replay
+          input.push(replay)
           continue
         }
         if (part.type === "tool-call") {
@@ -974,6 +980,7 @@ export const route = Route.make({
   endpoint,
   auth,
   transport: httpTransport,
+  defaults: { providerOptions: { openai: { store: false } } },
 })
 
 const decodeWebSocketMessage = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIResponsesWebSocketMessage))
@@ -1001,6 +1008,7 @@ export const webSocketRoute = Route.make({
   endpoint,
   auth,
   transport: webSocketTransport,
+  defaults: { providerOptions: { openai: { store: false } } },
 })
 
 export * as OpenAIResponses from "./openai-responses"

packages/llm/test/fixtures/recordings/openai-responses/openai-responses-gpt-5-5-reasoning-continuation.json

@@ -44,7 +44,7 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"gpt-5.5\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Think briefly, then reply exactly with: Hello!\"}]},{\"type\":\"reasoning\",\"id\":\"rs_0a0794dab3b8ec7d016a1235e7ce3881958a5eca32a36a14c5\",\"summary\":[],\"encrypted_content\":\"gAAAAABqEjXoGMCw3WDXpoD9151PEr2Lt8raW7KBKefQhZJGWx5f8jy152bApO6oE-Mr1BhUtfZNq3OPBVfSL4ioQ9bHREfujIBXgk9LUDBAz2Sle7KjOr9HaUV16A4HBiaFIRFjsHPS9G8yEySp1m6F1CD_WR6apyUGgugRh_y39EcOJmxPOzmiac5DVM6fraA1VpcGbqrZ1x2ANHFDOfnYTycPtPNTgzE7LjkYjDDWbT03uN1YxfP4pqjDVRzY14pA8bSZ8ys-pDv5kUFCAsw-OlU4jYKUXp-M8_6KTaRQP71LPwppt__zG_NJPfy-qUil4pOU8_NoxtxerHgLLXbfExZdzfpoGinoEjn7nj7BJDEtl-LNeNEb5c-1ZymNfVMp-Cs3fLEPkAV8rtHFtZ0MhE_07GKbGo7hTrOmkM4DydxmHsdWGNbXAG35cprslEA5P7p3GHFKnRs5hGs2eq-XcZ3yki64ZBOU_Tv6UR7nUH09gF1rdrJo3dpre6M00COwwdZ02zUP5KxCuI8FKu2jsZu9zgMVXDALsdtM5orTCVLXsn4rddWd111zE-vMjNmMMmktW2cHMjH7j1ooA-9P083koNVYiLi4UhMA64gTqgyl8MxkZekl7eFSMa7qk295NaHOKtFxzYYcZ9jdioCwSPSZ0ZZWLoNgrK7SWfRh0uaTHNcMZ3wq8ae6CguktIeVTCPTQAqJLQqd7AU0oOCKCJ7BWnC-L8UC6m7Pm9ZS958uUVeWBhgKHzMAGq9UeQB7IEeAcbMn3EDgOSfd8qCb8iwU9iG9dcu9axQwWU7pd7kd-T-He61W7z5wWgpx1KehWCxrN6kuKSo6p-uUfwVnJukreOn8BJNAzADQgz68bhmN9VGih7YcKVnLgwDwKditrjSd6-tfE0Baarj3jWENvT6ohY17R9FDrKS-2v8IIX6tGjoKJw8SRhaWLNv4vWlmxRgR0gdac3qumd0GKqsWSveNz01naA==\"},{\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Now reply exactly with: Done.\"}]}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"reasoning\":{\"effort\":\"low\",\"summary\":\"auto\"},\"text\":{\"verbosity\":\"low\"},\"max_output_tokens\":40,\"stream\":true}"
+        "body": "{\"model\":\"gpt-5.5\",\"input\":[{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Think briefly, then reply exactly with: Hello!\"}]},{\"type\":\"reasoning\",\"summary\":[],\"encrypted_content\":\"gAAAAABqEjXoGMCw3WDXpoD9151PEr2Lt8raW7KBKefQhZJGWx5f8jy152bApO6oE-Mr1BhUtfZNq3OPBVfSL4ioQ9bHREfujIBXgk9LUDBAz2Sle7KjOr9HaUV16A4HBiaFIRFjsHPS9G8yEySp1m6F1CD_WR6apyUGgugRh_y39EcOJmxPOzmiac5DVM6fraA1VpcGbqrZ1x2ANHFDOfnYTycPtPNTgzE7LjkYjDDWbT03uN1YxfP4pqjDVRzY14pA8bSZ8ys-pDv5kUFCAsw-OlU4jYKUXp-M8_6KTaRQP71LPwppt__zG_NJPfy-qUil4pOU8_NoxtxerHgLLXbfExZdzfpoGinoEjn7nj7BJDEtl-LNeNEb5c-1ZymNfVMp-Cs3fLEPkAV8rtHFtZ0MhE_07GKbGo7hTrOmkM4DydxmHsdWGNbXAG35cprslEA5P7p3GHFKnRs5hGs2eq-XcZ3yki64ZBOU_Tv6UR7nUH09gF1rdrJo3dpre6M00COwwdZ02zUP5KxCuI8FKu2jsZu9zgMVXDALsdtM5orTCVLXsn4rddWd111zE-vMjNmMMmktW2cHMjH7j1ooA-9P083koNVYiLi4UhMA64gTqgyl8MxkZekl7eFSMa7qk295NaHOKtFxzYYcZ9jdioCwSPSZ0ZZWLoNgrK7SWfRh0uaTHNcMZ3wq8ae6CguktIeVTCPTQAqJLQqd7AU0oOCKCJ7BWnC-L8UC6m7Pm9ZS958uUVeWBhgKHzMAGq9UeQB7IEeAcbMn3EDgOSfd8qCb8iwU9iG9dcu9axQwWU7pd7kd-T-He61W7z5wWgpx1KehWCxrN6kuKSo6p-uUfwVnJukreOn8BJNAzADQgz68bhmN9VGih7YcKVnLgwDwKditrjSd6-tfE0Baarj3jWENvT6ohY17R9FDrKS-2v8IIX6tGjoKJw8SRhaWLNv4vWlmxRgR0gdac3qumd0GKqsWSveNz01naA==\"},{\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Now reply exactly with: Done.\"}]}],\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"reasoning\":{\"effort\":\"low\",\"summary\":\"auto\"},\"text\":{\"verbosity\":\"low\"},\"max_output_tokens\":40,\"stream\":true}"
       },
       "response": {
         "status": 200,

packages/llm/test/provider/openai-responses.test.ts

@@ -50,6 +50,7 @@ describe("OpenAI Responses route", () => {
           { role: "system", content: "You are concise." },
           { role: "user", content: [{ type: "input_text", text: "Say hello." }] },
         ],
+        store: false,
         stream: true,
         max_output_tokens: 20,
         temperature: 0,
@@ -161,16 +162,16 @@ describe("OpenAI Responses route", () => {
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare(
         LLM.updateRequest(request, {
-          model: OpenAI.configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).responsesWebSocket(
-            "gpt-4.1-mini",
-          ),
+          model: OpenAIResponses.webSocketRoute
+            .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
+            .model({ id: "gpt-4.1-mini" }),
         }),
       )
 
       expect(prepared.route).toBe("openai-responses-websocket")
       expect(prepared.protocol).toBe("openai-responses")
       expect(prepared.metadata).toEqual({ transport: "websocket-json" })
-      expect(prepared.body).toMatchObject({ model: "gpt-4.1-mini", stream: true })
+      expect(prepared.body).toMatchObject({ model: "gpt-4.1-mini", store: false, stream: true })
     }),
   )
 
@@ -356,7 +357,13 @@ describe("OpenAI Responses route", () => {
           { type: "function_call", call_id: "call_1", name: "lookup", arguments: '{"query":"weather"}' },
           { type: "function_call_output", call_id: "call_1", output: '{"forecast":"sunny"}' },
         ],
+        store: false,
         stream: true,
+        max_output_tokens: undefined,
+        temperature: undefined,
+        tool_choice: undefined,
+        tools: undefined,
+        top_p: undefined,
       })
     }),
   )
@@ -519,7 +526,6 @@ describe("OpenAI Responses route", () => {
           },
           {
             type: "reasoning",
-            id: "rs_continuation_1",
             encrypted_content: "encrypted-continuation-state",
             summary: [{ type: "summary_text", text: "I inspected the previous turn." }],
           },
@@ -864,7 +870,9 @@ describe("OpenAI Responses route", () => {
 
   it.effect("closes reasoning summary parts when storage is not disabled", () =>
     Effect.gen(function* () {
-      const response = yield* LLMClient.generate(request).pipe(
+      const response = yield* LLMClient.generate(
+        LLM.updateRequest(request, { providerOptions: { openai: { store: true } } }),
+      ).pipe(
         Effect.provide(
           fixedResponse(
             sseEvents(
@@ -925,12 +933,12 @@ describe("OpenAI Responses route", () => {
           dynamicResponse((input) =>
             Effect.gen(function* () {
               const web = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
-              expect(yield* Effect.promise(() => web.json())).toMatchObject({
+              const body = yield* Effect.promise(() => web.json())
+              expect(body).toMatchObject({
                 input: [
                   { role: "user", content: [{ type: "input_text", text: "What changed?" }] },
                   {
                     type: "reasoning",
-                    id: "rs_1",
                     encrypted_content: "encrypted-state",
                     summary: [{ type: "summary_text", text: "Checked the previous diff." }],
                   },
@@ -938,6 +946,7 @@ describe("OpenAI Responses route", () => {
                   { role: "user", content: [{ type: "input_text", text: "Summarize it." }] },
                 ],
               })
+              expect(body.input[1]).not.toHaveProperty("id")
               return input.respond(
                 sseEvents(
                   { type: "response.output_text.delta", item_id: "msg_1", delta: "Parser now round-trips reasoning." },
@@ -984,7 +993,6 @@ describe("OpenAI Responses route", () => {
         { role: "assistant", content: [{ type: "output_text", text: "Before." }] },
         {
           type: "reasoning",
-          id: "rs_1",
           encrypted_content: "encrypted-state",
           summary: [{ type: "summary_text", text: "Checked order." }],
         },
@@ -1078,7 +1086,6 @@ describe("OpenAI Responses route", () => {
       expect(prepared.body.input).toEqual([
         {
           type: "reasoning",
-          id: "rs_1",
           encrypted_content: "encrypted-state",
           summary: [
             { type: "summary_text", text: "First" },

packages/llm/test/tool-runtime.test.ts

@@ -598,7 +598,7 @@ describe("LLMClient tools", () => {
         include: ["reasoning.encrypted_content"],
         input: [
           { role: "user" },
-          { type: "reasoning", id: "rs_1", summary: [], encrypted_content: "encrypted-state" },
+          { type: "reasoning", summary: [], encrypted_content: "encrypted-state" },
           { type: "function_call", call_id: "call_1", name: "get_weather" },
           { type: "function_call_output", call_id: "call_1" },
         ],

packages/opencode/test/session/llm-native.test.ts

@@ -115,10 +115,9 @@ const storedSession = {
 const openAIResponses = {
   user: (text: string) => ({ role: "user", content: [{ type: "input_text", text }] }),
   assistant: (text: string) => ({ role: "assistant", content: [{ type: "output_text", text }] }),
-  openaiReasoning: (text: string, options: { readonly itemId: string; readonly encryptedContent: string }) => ({
+  openaiReasoning: (text: string, encryptedContent: string) => ({
     type: "reasoning",
-    id: options.itemId,
-    encrypted_content: options.encryptedContent,
+    encrypted_content: encryptedContent,
     summary: [{ type: "summary_text", text }],
   }),
 }
@@ -657,10 +656,7 @@ describe("session.llm-native.request", () => {
       expectedBody: {
         input: [
           openAIResponses.user("What changed?"),
-          openAIResponses.openaiReasoning("Checked the previous diff.", {
-            itemId: "rs_1",
-            encryptedContent: "encrypted-state",
-          }),
+          openAIResponses.openaiReasoning("Checked the previous diff.", "encrypted-state"),
           openAIResponses.assistant("The parser changed."),
           openAIResponses.user("Summarize it."),
         ],
@@ -683,7 +679,7 @@ describe("session.llm-native.request", () => {
       ],
       providerOptions: { openai: { store: false, include: ["reasoning.encrypted_content"] } },
       expectedBody: {
-        input: [{ type: "reasoning", id: "rs_1", summary: [], encrypted_content: "encrypted-state" }],
+        input: [{ type: "reasoning", summary: [], encrypted_content: "encrypted-state" }],
         include: ["reasoning.encrypted_content"],
         store: false,
       },