match codex

packages/core/src/session/compaction.ts

@@ -173,18 +173,6 @@ export const buildPrompt = (input: { readonly previousSummary?: string; readonly
   ].join("\n\n")
 }
 
-export const buildReplayPrompt = (previousSummary?: string) => {
-  const instruction =
-    "Create a new anchored summary from the conversation messages above so another coding agent can continue the work."
-  if (!previousSummary) return [instruction, SUMMARY_TEMPLATE].join("\n\n")
-  return [
-    instruction,
-    `Here is the summary of the conversation before the messages above:\n\n<prior-summary>\n${previousSummary}\n</prior-summary>`,
-    SUMMARY_UPDATE_INSTRUCTIONS,
-    SUMMARY_TEMPLATE,
-  ].join("\n\n")
-}
-
 export const make = (dependencies: Dependencies) => {
   const config = settings(dependencies.config)
   const compactAfterOverflow = Effect.fn("SessionCompaction.compactAfterOverflow")(function* (input: Input) {

packages/opencode/src/agent/agent.ts

@@ -216,6 +216,21 @@ const layer = Layer.effect(
             mode: "subagent",
             native: true,
           },
+          compaction: {
+            name: "compaction",
+            mode: "primary",
+            native: true,
+            hidden: true,
+            prompt: PROMPT_COMPACTION,
+            permission: Permission.merge(
+              defaults,
+              Permission.fromConfig({
+                "*": "deny",
+              }),
+              user,
+            ),
+            options: {},
+          },
           title: {
             name: "title",
             mode: "primary",
@@ -255,26 +270,6 @@ const layer = Layer.effect(
             continue
           }
           let item = agents[key]
-          // The compaction agent is not registered by default: compaction inherits
-          // the session's active agent so its request stays prefix-identical for
-          // prompt caching. An explicit `agent.compaction` config opts into the
-          // legacy dedicated agent, seeded here so overrides merge as before.
-          if (!item && key === "compaction")
-            item = agents[key] = {
-              name: "compaction",
-              mode: "primary",
-              native: true,
-              hidden: true,
-              prompt: PROMPT_COMPACTION,
-              permission: Permission.merge(
-                defaults,
-                Permission.fromConfig({
-                  "*": "deny",
-                }),
-                user,
-              ),
-              options: {},
-            }
           if (!item)
             item = agents[key] = {
               name: key,

packages/opencode/src/plugin/openai/codex.ts

@@ -37,10 +37,12 @@ function base64UrlEncode(buffer: ArrayBuffer): string {
 
 export interface IdTokenClaims {
   chatgpt_account_id?: string
+  chatgpt_compute_residency?: string
   organizations?: Array<{ id: string }>
   email?: string
   "https://api.openai.com/auth"?: {
     chatgpt_account_id?: string
+    chatgpt_compute_residency?: string
   }
 }
 
@@ -75,6 +77,14 @@ export function extractAccountId(tokens: TokenResponse): string | undefined {
   return undefined
 }
 
+export function extractResidency(token: string): string | undefined {
+  const claims = parseJwtClaims(token)
+  const residency =
+    claims?.["https://api.openai.com/auth"]?.chatgpt_compute_residency ?? claims?.chatgpt_compute_residency
+  if (!residency || residency === "no_constraint") return undefined
+  return residency
+}
+
 function buildAuthorizeUrl(redirectUri: string, pkce: PkceCodes, state: string): string {
   const params = new URLSearchParams({
     response_type: "code",
@@ -411,10 +421,12 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
               requestInput instanceof URL
                 ? requestInput
                 : new URL(typeof requestInput === "string" ? requestInput : requestInput.url)
-            const url =
-              parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
-                ? new URL(codexApiEndpoint)
-                : parsed
+            const rewrite = parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
+            const url = rewrite ? new URL(codexApiEndpoint) : parsed
+            if (rewrite) {
+              const residency = extractResidency(currentAuth.access)
+              if (residency) headers.set("x-openai-internal-codex-residency", residency)
+            }
 
             const requestInit = {
               ...init,

packages/opencode/src/session/compaction.ts

@@ -20,7 +20,7 @@ import { RuntimeFlags } from "@/effect/runtime-flags"
 import { EventV2Bridge } from "@/event-v2-bridge"
 import { ProviderV2 } from "@opencode-ai/core/provider"
 import { ModelV2 } from "@opencode-ai/core/model"
-import { buildPrompt, buildReplayPrompt } from "@opencode-ai/core/session/compaction"
+import { buildPrompt } from "@opencode-ai/core/session/compaction"
 import { SessionCompactionEvent } from "@opencode-ai/schema/session-compaction-event"
 
 export const Event = SessionCompactionEvent
@@ -162,15 +162,6 @@ function splitTurn(input: {
   })
 }
 
-export type Run = (input: {
-  user: SessionV1.User
-  agent: Agent.Info
-  model: Provider.Model
-  processor: SessionProcessor.Handle
-  messages: SessionV1.WithParts[]
-  prompt: string
-}) => Effect.Effect<SessionProcessor.Result>
-
 export interface Interface {
   readonly isOverflow: (input: {
     tokens: SessionV1.Assistant["tokens"]
@@ -183,7 +174,6 @@ export interface Interface {
     sessionID: SessionID
     auto: boolean
     overflow?: boolean
-    run?: Run
   }) => Effect.Effect<"continue" | "stop">
   readonly create: (input: {
     sessionID: SessionID
@@ -332,7 +322,6 @@ const layer = Layer.effect(
       sessionID: SessionID
       auto: boolean
       overflow?: boolean
-      run?: Run
     }) {
       const parent = input.messages.findLast((m) => m.info.id === input.parentID)
       if (!parent || parent.info.role !== "user") {
@@ -366,13 +355,11 @@ const layer = Layer.effect(
         }
       }
 
+      const agent = yield* agents.get("compaction")
+      const model = agent.model
+        ? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
+        : yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
       const cfg = yield* config.get()
-      const configured = cfg.agent?.compaction !== undefined
-      const agent = yield* agents.get(configured ? "compaction" : userMessage.agent)
-      const model =
-        configured && agent.model
-          ? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
-          : yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
       const history = compactionPart && messages.at(-1)?.info.id === input.parentID ? messages.slice(0, -1) : messages
       const prior = completedCompactions(history)
       const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
@@ -390,16 +377,18 @@ const layer = Layer.effect(
       )
       const msgs = structuredClone(selected.head)
       yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
-      // A configured compaction agent keeps the legacy serialized-transcript path.
-      const run = configured ? undefined : input.run
-      const conversation = run ? "" : msgs.map(serialize).filter(Boolean).join("\n\n")
-      const nextPrompt = [
+      const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
+      const nextPrompt =
         compacting.prompt ??
-          (run ? buildReplayPrompt(previousSummary) : buildPrompt({ previousSummary, context: [conversation] })),
-        ...compacting.context,
-      ]
-        .filter(Boolean)
-        .join("\n\n")
+        [
+          buildPrompt({
+            previousSummary,
+            context: [conversation],
+          }),
+          ...compacting.context,
+        ]
+          .filter(Boolean)
+          .join("\n\n")
       const ctx = yield* InstanceState.context
       const msg: SessionV1.Assistant = {
         id: MessageID.ascending(),
@@ -433,43 +422,30 @@ const layer = Layer.effect(
         sessionID: input.sessionID,
         model,
       })
-      // The synthetic compaction marker carries no per-turn system/tools settings.
-      const active = msgs.findLast(
-        (message) => message.info.role === "user" && !message.parts.some((part) => part.type === "compaction"),
-      )
-      const result = run
-        ? yield* run({
-            user: active?.info.role === "user" ? active.info : userMessage,
-            agent,
-            model,
-            processor,
-            messages: msgs,
-            prompt: nextPrompt,
-          })
-        : yield* processor.process({
-            user: userMessage,
-            agent,
-            sessionID: input.sessionID,
-            tools: {},
-            system: [],
-            messages: [
+      const result = yield* processor.process({
+        user: userMessage,
+        agent,
+        sessionID: input.sessionID,
+        tools: {},
+        system: [],
+        messages: [
+          {
+            role: "user",
+            content: [
               {
-                role: "user",
-                content: [
-                  {
-                    type: "text",
-                    text: [
-                      nextPrompt,
-                      ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
-                    ]
-                      .filter(Boolean)
-                      .join("\n\n"),
-                  },
-                ],
+                type: "text",
+                text: [
+                  nextPrompt,
+                  ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
+                ]
+                  .filter(Boolean)
+                  .join("\n\n"),
               },
             ],
-            model,
-          })
+          },
+        ],
+        model,
+      })
 
       if (result === "compact") {
         processor.message.error = new SessionV1.ContextOverflowError({

packages/opencode/src/session/prompt.ts

@@ -149,45 +149,6 @@ const layer = Layer.effect(
       } satisfies TaskPromptOps
     })
 
-    // One assembly path keeps compaction requests prefix-identical to normal turns for prompt caching.
-    const prepare = Effect.fn("SessionPrompt.prepare")(function* (input: {
-      session: Session.Info
-      agent: Agent.Info
-      model: Provider.Model
-      processor: SessionProcessor.Handle
-      messages: SessionV1.WithParts[]
-    }) {
-      const lastUserMsg = input.messages.findLast((message) => message.info.role === "user")
-      const tools = yield* SessionTools.resolve({
-        agent: input.agent,
-        session: input.session,
-        model: input.model,
-        processor: input.processor,
-        bypassAgentCheck: lastUserMsg?.parts.some((part) => part.type === "agent") ?? false,
-        messages: input.messages,
-        promptOps: yield* ops(),
-      }).pipe(
-        Effect.provideService(Plugin.Service, plugin),
-        Effect.provideService(Permission.Service, permission),
-        Effect.provideService(ToolRegistry.Service, registry),
-        Effect.provideService(MCP.Service, mcp),
-        Effect.provideService(Truncate.Service, truncate),
-        Effect.provideService(RuntimeFlags.Service, flags),
-      )
-      const [skills, env, instructions, mcpInstructions, modelMessages] = yield* Effect.all([
-        sys.skills(input.agent),
-        sys.environment(input.model),
-        instruction.system().pipe(Effect.orDie),
-        sys.mcp(input.agent, input.session.permission),
-        MessageV2.toModelMessagesEffect(input.messages, input.model),
-      ])
-      return {
-        tools,
-        modelMessages,
-        system: [...env, ...instructions, ...(mcpInstructions ? [mcpInstructions] : []), ...(skills ? [skills] : [])],
-      }
-    })
-
     const cancel = Effect.fn("SessionPrompt.cancel")(function* (sessionID: SessionID) {
       yield* Effect.logInfo("cancel", { "session.id": sessionID })
       yield* state.cancel(sessionID)
@@ -1192,21 +1153,6 @@ const layer = Layer.effect(
               sessionID,
               auto: task.auto,
               overflow: task.overflow,
-              run: ({ user, agent, model, processor, messages, prompt }) =>
-                Effect.gen(function* () {
-                  const prepared = yield* prepare({ session, agent, model, processor, messages })
-                  return yield* processor.process({
-                    user,
-                    agent,
-                    permission: session.permission,
-                    sessionID,
-                    parentSessionID: session.parentID,
-                    system: prepared.system,
-                    messages: [...prepared.modelMessages, { role: "user", content: prompt }],
-                    tools: prepared.tools,
-                    model,
-                  })
-                }),
             })
             if (result === "stop") break
             continue
@@ -1273,34 +1219,68 @@ const layer = Layer.effect(
             .pipe(Effect.onInterrupt(() => finalizeInterruptedAssistant))
 
           const outcome: "break" | "continue" = yield* Effect.gen(function* () {
-            if (step === 1)
-              yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
+            const lastUserMsg = msgs.findLast((m) => m.info.role === "user")
+            const bypassAgentCheck = lastUserMsg?.parts.some((p) => p.type === "agent") ?? false
+            const promptOps = yield* ops()
 
-            yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
+            const tools = yield* SessionTools.resolve({
+              agent,
+              session,
+              model,
+              processor: handle,
+              bypassAgentCheck,
+              messages: msgs,
+              promptOps,
+            }).pipe(
+              Effect.provideService(Plugin.Service, plugin),
+              Effect.provideService(Permission.Service, permission),
+              Effect.provideService(ToolRegistry.Service, registry),
+              Effect.provideService(MCP.Service, mcp),
+              Effect.provideService(Truncate.Service, truncate),
+              Effect.provideService(RuntimeFlags.Service, flags),
+            )
 
-            const prepared = yield* prepare({ session, agent, model, processor: handle, messages: msgs })
-            const format = lastUser.format ?? { type: "text" as const }
-            if (format.type === "json_schema") {
-              prepared.system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
-              prepared.tools["StructuredOutput"] = createStructuredOutputTool({
-                schema: format.schema,
+            if (lastUser.format?.type === "json_schema") {
+              tools["StructuredOutput"] = createStructuredOutputTool({
+                schema: lastUser.format.schema,
                 onSuccess(output) {
                   structured = output
                 },
               })
             }
+
+            if (step === 1)
+              yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
+
+            yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
+
+            const [skills, env, instructions, mcpInstructions, modelMsgs] = yield* Effect.all([
+              sys.skills(agent),
+              sys.environment(model),
+              instruction.system().pipe(Effect.orDie),
+              sys.mcp(agent, session.permission),
+              MessageV2.toModelMessagesEffect(msgs, model),
+            ])
+            const system = [
+              ...env,
+              ...instructions,
+              ...(mcpInstructions ? [mcpInstructions] : []),
+              ...(skills ? [skills] : []),
+            ]
+            const format = lastUser.format ?? { type: "text" as const }
+            if (format.type === "json_schema") system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
             const result = yield* handle.process({
               user: lastUser,
               agent,
               permission: session.permission,
               sessionID,
               parentSessionID: session.parentID,
-              system: prepared.system,
+              system,
               messages: [
-                ...prepared.modelMessages,
+                ...modelMsgs,
                 ...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
               ],
-              tools: prepared.tools,
+              tools,
               model,
               toolChoice: format.type === "json_schema" ? "required" : undefined,
             })

packages/opencode/test/agent/agent.test.ts

@@ -52,7 +52,7 @@ it.instance("returns default native agents when no config", () =>
     expect(names).toContain("plan")
     expect(names).toContain("general")
     expect(names).toContain("explore")
-    expect(names).not.toContain("compaction")
+    expect(names).toContain("compaction")
     expect(names).toContain("title")
     expect(names).toContain("summary")
   }),
@@ -170,34 +170,17 @@ it.instance("general agent denies todo tools", () =>
   }),
 )
 
-it.instance("compaction agent is absent without configuration", () =>
+it.instance("compaction agent denies all permissions", () =>
   Effect.gen(function* () {
     const compaction = yield* load((svc) => svc.get("compaction"))
-    expect(compaction).toBeUndefined()
+    expect(compaction).toBeDefined()
+    expect(compaction?.hidden).toBe(true)
+    expect(evalPerm(compaction, "bash")).toBe("deny")
+    expect(evalPerm(compaction, "edit")).toBe("deny")
+    expect(evalPerm(compaction, "read")).toBe("deny")
   }),
 )
 
-it.instance(
-  "configured compaction agent keeps native defaults",
-  () =>
-    Effect.gen(function* () {
-      const compaction = yield* load((svc) => svc.get("compaction"))
-      expect(compaction).toBeDefined()
-      expect(compaction?.native).toBe(true)
-      expect(compaction?.hidden).toBe(true)
-      expect(evalPerm(compaction, "bash")).toBe("deny")
-      expect(evalPerm(compaction, "edit")).toBe("deny")
-      expect(evalPerm(compaction, "read")).toBe("deny")
-    }),
-  {
-    config: {
-      agent: {
-        compaction: {},
-      },
-    },
-  },
-)
-
 it.instance(
   "custom agent from config creates new agent",
   () =>
@@ -727,9 +710,6 @@ it.instance(
   {
     config: {
       default_agent: "compaction",
-      agent: {
-        compaction: {},
-      },
     },
   },
 )

packages/opencode/test/plugin/codex.test.ts

@@ -1,9 +1,13 @@
 import { describe, expect, test } from "bun:test"
+import { createServer, type IncomingMessage } from "node:http"
+import { type AddressInfo } from "node:net"
+import { WebSocketServer } from "ws"
 import {
   CodexAuthPlugin,
   parseJwtClaims,
   extractAccountIdFromClaims,
   extractAccountId,
+  extractResidency,
   renderOAuthError,
   type IdTokenClaims,
 } from "../../src/plugin/openai/codex"
@@ -131,6 +135,69 @@ describe("plugin.codex", () => {
     })
   })
 
+  describe("extractResidency", () => {
+    test("extracts compute residency from the namespaced auth claims", () => {
+      expect(
+        extractResidency(
+          createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
+          }),
+        ),
+      ).toBe("eu")
+    })
+
+    test("falls back to a root compute residency claim", () => {
+      expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "us" }))).toBe("us")
+    })
+
+    test("supports compute residency values without maintaining a region list", () => {
+      expect(
+        extractResidency(
+          createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "ae" },
+          }),
+        ),
+      ).toBe("ae")
+      expect(
+        extractResidency(
+          createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "future-region_1" },
+          }),
+        ),
+      ).toBe("future-region_1")
+    })
+
+    test("ignores unconstrained and data residency values", () => {
+      expect(
+        extractResidency(
+          createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
+          }),
+        ),
+      ).toBeUndefined()
+      expect(
+        extractResidency(
+          createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_data_residency: "gb" },
+          }),
+        ),
+      ).toBeUndefined()
+      expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "" }))).toBeUndefined()
+      expect(extractResidency("not-a-jwt")).toBeUndefined()
+    })
+
+    test("prefers a namespaced unconstrained value over a root residency", () => {
+      expect(
+        extractResidency(
+          createTestJwt({
+            chatgpt_compute_residency: "eu",
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
+          }),
+        ),
+      ).toBeUndefined()
+    })
+  })
+
   test("installs websocket transport only when experimental websockets are enabled", async () => {
     const disabled = await CodexAuthPlugin({} as never)
     const enabled = await CodexAuthPlugin({} as never, { experimentalWebSockets: true })
@@ -149,6 +216,73 @@ describe("plugin.codex", () => {
     await enabled.dispose?.()
   })
 
+  test("sends token residency only to the ChatGPT Codex backend", async () => {
+    const requests: Array<{ path: string; residency: string | null }> = []
+    using server = Bun.serve({
+      port: 0,
+      fetch(request) {
+        requests.push({
+          path: new URL(request.url).pathname,
+          residency: request.headers.get("x-openai-internal-codex-residency"),
+        })
+        return new Response("{}")
+      },
+    })
+    const hooks = await CodexAuthPlugin({} as never, {
+      codexApiEndpoint: new URL("/backend-api/codex/responses", server.url).toString(),
+    })
+    const loaded = await hooks.auth!.loader!(
+      async () =>
+        ({
+          type: "oauth",
+          refresh: "refresh",
+          access: createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
+          }),
+          expires: Date.now() + 60_000,
+        }) as never,
+      {} as never,
+    )
+
+    await loaded.fetch!("https://api.openai.com/v1/responses")
+    await loaded.fetch!(new URL("/other", server.url))
+
+    expect(requests).toEqual([
+      { path: "/backend-api/codex/responses", residency: "eu" },
+      { path: "/other", residency: null },
+    ])
+  })
+
+  test("sends token residency through the WebSocket transport", async () => {
+    await using server = await createCodexWebSocketServer()
+    const hooks = await CodexAuthPlugin({} as never, {
+      codexApiEndpoint: server.url,
+      experimentalWebSockets: true,
+    })
+    const loaded = await hooks.auth!.loader!(
+      async () =>
+        ({
+          type: "oauth",
+          refresh: "refresh",
+          access: createTestJwt({
+            "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
+          }),
+          expires: Date.now() + 60_000,
+        }) as never,
+      {} as never,
+    )
+
+    const response = await loaded.fetch!("https://api.openai.com/v1/responses", {
+      method: "POST",
+      headers: { "session-id": "session-1" },
+      body: JSON.stringify({ stream: true, input: "hi" }),
+    })
+
+    expect(await response.text()).toContain("data: [DONE]")
+    expect(server.headers()?.["x-openai-internal-codex-residency"]).toBe("eu")
+    await hooks.dispose?.()
+  })
+
   test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
     const hooks = await CodexAuthPlugin({} as never)
     const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
@@ -193,6 +327,9 @@ describe("plugin.codex", () => {
   })
 
   test("deduplicates concurrent Codex token refreshes", async () => {
+    const refreshedAccess = createTestJwt({
+      "https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
+    })
     let auth = {
       type: "oauth" as const,
       refresh: "refresh-old",
@@ -207,7 +344,7 @@ describe("plugin.codex", () => {
       resolveRefresh = resolve
     })
     let refreshRequests = 0
-    const apiRequests: { authorization: string | null; accountId: string | null }[] = []
+    const apiRequests: { authorization: string | null; accountId: string | null; residency: string | null }[] = []
 
     using server = Bun.serve({
       port: 0,
@@ -219,7 +356,7 @@ describe("plugin.codex", () => {
           await refreshReady
           return Response.json({
             id_token: createTestJwt({ chatgpt_account_id: "acc-123" }),
-            access_token: "access-new",
+            access_token: refreshedAccess,
             refresh_token: "refresh-new",
             expires_in: 3600,
           })
@@ -229,6 +366,7 @@ describe("plugin.codex", () => {
           apiRequests.push({
             authorization: request.headers.get("authorization"),
             accountId: request.headers.get("ChatGPT-Account-Id"),
+            residency: request.headers.get("x-openai-internal-codex-residency"),
           })
           return new Response("{}", { status: 200 })
         }
@@ -281,11 +419,11 @@ describe("plugin.codex", () => {
     expect(refreshRequests).toBe(1)
     expect(authUpdates).toHaveLength(1)
     expect(authUpdates[0]?.body.refresh).toBe("refresh-new")
-    expect(authUpdates[0]?.body.access).toBe("access-new")
+    expect(authUpdates[0]?.body.access).toBe(refreshedAccess)
     expect(authUpdates[0]?.body.accountId).toBe("acc-123")
     expect(apiRequests).toEqual([
-      { authorization: "Bearer access-new", accountId: "acc-123" },
-      { authorization: "Bearer access-new", accountId: "acc-123" },
+      { authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
+      { authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
     ])
   })
 })
@@ -297,3 +435,29 @@ async function waitFor(predicate: () => boolean) {
     await new Promise((resolve) => setTimeout(resolve, 1))
   }
 }
+
+async function createCodexWebSocketServer() {
+  let headers: IncomingMessage["headers"] | undefined
+  const server = createServer()
+  const sockets = new WebSocketServer({ server })
+  sockets.on("connection", (socket, request) => {
+    headers = request.headers
+    socket.once("message", () => {
+      socket.send(JSON.stringify({ type: "response.completed", response: { id: "resp_123" } }))
+    })
+  })
+  await new Promise<void>((resolve, reject) => {
+    server.once("error", reject)
+    server.listen(0, "127.0.0.1", resolve)
+  })
+  const address = server.address() as AddressInfo
+  return {
+    url: `http://127.0.0.1:${address.port}/backend-api/codex/responses`,
+    headers: () => headers,
+    async [Symbol.asyncDispose]() {
+      for (const socket of sockets.clients) socket.terminate()
+      sockets.close()
+      server.close()
+    },
+  }
+}

packages/opencode/test/plugin/openai-ws.test.ts

@@ -17,13 +17,18 @@ describe("plugin.openai.ws", () => {
 
     const socket = await OpenAIWebSocket.connectResponsesWebSocket({
       url: server.wsUrl,
-      headers: { authorization: "Bearer test", "content-length": "123" },
+      headers: {
+        authorization: "Bearer test",
+        "content-length": "123",
+        "x-openai-internal-codex-residency": "eu",
+      },
     })
 
     expect(OpenAIWebSocket.toWebSocketUrl("http://example.com/v1/responses")).toBe("ws://example.com/v1/responses")
     expect(OpenAIWebSocket.toWebSocketUrl("https://example.com/v1/responses")).toBe("wss://example.com/v1/responses")
     expect(headers?.authorization).toBe("Bearer test")
     expect(headers?.["openai-beta"]).toBe(OpenAIWebSocket.PROTOCOL_HEADER)
+    expect(headers?.["x-openai-internal-codex-residency"]).toBe("eu")
     expect(headers?.["content-length"]).toBeUndefined()
     socket.terminate()
   })

packages/opencode/test/session/compaction.test.ts

@@ -222,11 +222,6 @@ function cfg(compaction?: ConfigV1.Info["compaction"]) {
   return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed({ ...base, compaction }) }))
 }
 
-function cfgAgent(agent: NonNullable<ConfigV1.Info["agent"]>) {
-  const config = Schema.decodeUnknownSync(ConfigV1.Info)({ agent }) as ConfigV1.Info
-  return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed(config) }))
-}
-
 const defaultProvider = wide()
 const compactionTestNode = LayerNode.group([
   SessionCompaction.node,
@@ -817,75 +812,6 @@ describe("session.compaction.prune", () => {
 })
 
 describe("session.compaction.process", () => {
-  itCompaction.instance(
-    "inherits the last agent when compaction is not configured",
-    () => {
-      const stub = llm()
-      let captured: LLM.StreamInput | undefined
-      stub.push(reply("summary", (input) => (captured = input)))
-      return Effect.gen(function* () {
-        const ssn = yield* SessionNs.Service
-        const session = yield* ssn.create({})
-        const msg = yield* createUserMessage(session.id, "hello")
-        const msgs = yield* ssn.messages({ sessionID: session.id })
-
-        yield* SessionCompaction.use.process({
-          parentID: msg.id,
-          messages: msgs,
-          sessionID: session.id,
-          auto: false,
-        })
-
-        expect(captured?.agent.name).toBe("build")
-        expect(captured?.agent.prompt).toBe("custom build prompt")
-        expect(captured?.agent.temperature).toBe(0.37)
-        expect(String(captured?.model.providerID)).toBe("test")
-        expect(String(captured?.model.id)).toBe("test-model")
-      }).pipe(
-        withCompaction({
-          llm: stub.llmLayer,
-          config: cfgAgent({
-            build: { prompt: "custom build prompt", temperature: 0.37, model: "missing/missing" },
-          }),
-        }),
-      )
-    },
-    { git: true },
-  )
-
-  itCompaction.instance(
-    "preserves an explicitly configured compaction agent",
-    () => {
-      const stub = llm()
-      let captured: LLM.StreamInput | undefined
-      stub.push(reply("summary", (input) => (captured = input)))
-      return Effect.gen(function* () {
-        const ssn = yield* SessionNs.Service
-        const session = yield* ssn.create({})
-        const msg = yield* createUserMessage(session.id, "hello")
-        const msgs = yield* ssn.messages({ sessionID: session.id })
-
-        yield* SessionCompaction.use.process({
-          parentID: msg.id,
-          messages: msgs,
-          sessionID: session.id,
-          auto: false,
-        })
-
-        expect(captured?.agent.name).toBe("compaction")
-        expect(captured?.agent.prompt).toBe("custom compaction prompt")
-        expect(captured?.agent.temperature).toBe(0.81)
-        expect(captured?.agent.hidden).toBe(true)
-      }).pipe(
-        withCompaction({
-          llm: stub.llmLayer,
-          config: cfgAgent({ compaction: { prompt: "custom compaction prompt", temperature: 0.81 } }),
-        }),
-      )
-    },
-    { git: true },
-  )
-
   it.instance(
     "throws when parent is not a user message",
     Effect.gen(function* () {

packages/opencode/test/session/prompt.test.ts

@@ -444,34 +444,6 @@ const boot = Effect.fn("test.boot")(function* (input?: { title?: string }) {
 
 // Loop semantics
 
-it.instance("default compaction reuses the normal system and tools", () =>
-  Effect.gen(function* () {
-    const { llm } = yield* useServerConfig(providerCfg)
-    const { prompt, chat } = yield* boot()
-    const compact = yield* SessionCompaction.Service
-    yield* user(chat.id, "cache prefix message")
-    yield* llm.text("normal response")
-    yield* prompt.loop({ sessionID: chat.id })
-
-    yield* compact.create({ sessionID: chat.id, agent: "build", model: ref, auto: false })
-    yield* llm.text("compacted summary")
-    yield* prompt.loop({ sessionID: chat.id })
-
-    const inputs = yield* llm.inputs
-    expect(inputs).toHaveLength(2)
-    expect(inputs[1]?.tools).toEqual(inputs[0]?.tools)
-    const normalMessages = Array.isArray(inputs[0]?.messages) ? inputs[0].messages : []
-    const compactMessages = Array.isArray(inputs[1]?.messages) ? inputs[1].messages : []
-    const system = (message: unknown) =>
-      typeof message === "object" && message !== null && "role" in message && message.role === "system"
-    expect(compactMessages.find(system)).toEqual(normalMessages.find(system))
-    expect(JSON.stringify(compactMessages)).toContain("cache prefix message")
-    expect(JSON.stringify(compactMessages)).toContain("normal response")
-    expect(JSON.stringify(compactMessages)).toContain("Create a new anchored summary")
-    expect(JSON.stringify(compactMessages)).not.toContain("[User]: cache prefix message")
-  }),
-)
-
 noLLMServer.instance(
   "loop exits immediately when last assistant has stop finish",
   () =>

packages/web/src/content/docs/ar/zen.mdx

@@ -86,6 +86,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -172,6 +173,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60           | $7.50           |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10           | $1.25           |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15           | -               |
+| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15           | -               |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15           | -               |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03           | -               |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20           | -               |

packages/web/src/content/docs/bs/zen.mdx

@@ -91,6 +91,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/da/zen.mdx

@@ -91,6 +91,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/de/zen.mdx

@@ -82,6 +82,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/es/zen.mdx

@@ -91,6 +91,7 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60            | $7.50              |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10            | $1.25              |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15            | -                  |
+| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15            | -                  |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15            | -                  |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03            | -                  |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20            | -                  |

packages/web/src/content/docs/fr/zen.mdx

@@ -82,6 +82,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/it/zen.mdx

@@ -91,6 +91,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/ja/zen.mdx

@@ -82,6 +82,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/ko/zen.mdx

@@ -82,6 +82,7 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/nb/zen.mdx

@@ -91,6 +91,7 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60         | $7.50           |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10         | $1.25           |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15         | -               |
+| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15         | -               |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15         | -               |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03         | -               |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20         | -               |

packages/web/src/content/docs/pl/zen.mdx

@@ -91,6 +91,7 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60          | $7.50          |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10          | $1.25          |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15          | -              |
+| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15          | -              |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15          | -              |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03          | -              |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20          | -              |

packages/web/src/content/docs/providers.mdx

@@ -1718,6 +1718,10 @@ We recommend signing up for [ChatGPT Plus or Pro](https://chatgpt.com/pricing).
    /models
    ```
 
+##### Compute residency
+
+For ChatGPT OAuth, OpenCode automatically applies a regional inference residency requirement when one is advertised by your workspace credentials. It forwards the compute residency value from the credential instead of maintaining a fixed list of regions. Data residency at rest does not imply regional inference.
+
 ##### Using API keys
 
 If you already have an API key, you can select **Manually enter API Key** and paste it in your terminal.

packages/web/src/content/docs/pt-br/zen.mdx

@@ -82,6 +82,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00   | $22.50  | $0.60            | $7.50            |
 | Claude Haiku 4.5                  | $1.00   | $5.00   | $0.10            | $1.25            |
 | Gemini 3.6 Flash                  | $1.50   | $7.50   | $0.15            | -                |
+| Gemini 3.7 Flash                  | $1.50   | $7.50   | $0.15            | -                |
 | Gemini 3.5 Flash                  | $1.50   | $9.00   | $0.15            | -                |
 | Gemini 3.5 Flash Lite             | $0.30   | $2.50   | $0.03            | -                |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20            | -                |

packages/web/src/content/docs/ru/zen.mdx

@@ -91,6 +91,7 @@ OpenCode Zen работает как любой другой провайдер
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/th/zen.mdx

@@ -84,6 +84,7 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -170,6 +171,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/tr/zen.mdx

@@ -82,6 +82,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/zen.mdx

@@ -91,6 +91,7 @@ You can also access our models through the following API endpoints.
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -179,6 +180,7 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60       | $7.50        |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10       | $1.25        |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15       | -            |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15       | -            |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15       | -            |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03       | -            |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |

packages/web/src/content/docs/zh-cn/zen.mdx

@@ -82,6 +82,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -168,6 +169,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60    | $7.50    |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10    | $1.25    |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15    | -        |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15    | -        |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03    | -        |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20    | -        |

packages/web/src/content/docs/zh-tw/zen.mdx

@@ -86,6 +86,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
 | Claude Sonnet 4.5           | claude-sonnet-4-5           | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Claude Haiku 4.5            | claude-haiku-4-5            | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
 | Gemini 3.6 Flash            | gemini-3.6-flash            | `https://opencode.ai/zen/v1/models/gemini-3.6-flash`      | `@ai-sdk/google`            |
+| Gemini 3.7 Flash            | gemini-3.7-flash            | `https://opencode.ai/zen/v1/models/gemini-3.7-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash            | gemini-3.5-flash            | `https://opencode.ai/zen/v1/models/gemini-3.5-flash`      | `@ai-sdk/google`            |
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
@@ -173,6 +174,7 @@ https://opencode.ai/zen/v1/models
 | Claude Sonnet 4.5 (> 200K tokens) | $6.00  | $22.50  | $0.60    | $7.50    |
 | Claude Haiku 4.5                  | $1.00  | $5.00   | $0.10    | $1.25    |
 | Gemini 3.6 Flash                  | $1.50  | $7.50   | $0.15    | -        |
+| Gemini 3.7 Flash                  | $1.50  | $7.50   | $0.15    | -        |
 | Gemini 3.5 Flash                  | $1.50  | $9.00   | $0.15    | -        |
 | Gemini 3.5 Flash Lite             | $0.30  | $2.50   | $0.03    | -        |
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20    | -        |