fix(opencode): preserve prompt tool enables with empty agent permissions

packages/opencode/src/session/llm.ts

@@ -32,6 +32,7 @@ export namespace LLM {
     sessionID: string
     model: Provider.Model
     agent: Agent.Info
+    permission?: PermissionNext.Ruleset
     system: string[]
     abort: AbortSignal
     messages: ModelMessage[]
@@ -255,8 +256,11 @@ export namespace LLM {
     })
   }
 
-  async function resolveTools(input: Pick<StreamInput, "tools" | "agent" | "user">) {
-    const disabled = PermissionNext.disabled(Object.keys(input.tools), input.agent.permission)
+  async function resolveTools(input: Pick<StreamInput, "tools" | "agent" | "permission" | "user">) {
+    const disabled = PermissionNext.disabled(
+      Object.keys(input.tools),
+      PermissionNext.merge(input.agent.permission, input.permission ?? []),
+    )
     for (const tool of Object.keys(input.tools)) {
       if (input.user.tools?.[tool] === false || disabled.has(tool)) {
         delete input.tools[tool]

packages/opencode/src/session/prompt.ts

@@ -659,6 +659,7 @@ export namespace SessionPrompt {
       const result = await processor.process({
         user: lastUser,
         agent,
+        permission: session.permission,
         abort,
         sessionID,
         system,

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

@@ -1,6 +1,7 @@
 import { afterAll, beforeAll, beforeEach, describe, expect, test } from "bun:test"
 import path from "path"
-import type { ModelMessage } from "ai"
+import { tool, type ModelMessage } from "ai"
+import z from "zod"
 import { LLM } from "../../src/session/llm"
 import { Global } from "../../src/global"
 import { Instance } from "../../src/project/instance"
@@ -323,6 +324,95 @@ describe("session.llm.stream", () => {
     })
   })
 
+  test("keeps tools enabled by prompt permissions", async () => {
+    const server = state.server
+    if (!server) {
+      throw new Error("Server not initialized")
+    }
+
+    const providerID = "alibaba"
+    const modelID = "qwen-plus"
+    const fixture = await loadFixture(providerID, modelID)
+    const model = fixture.model
+
+    const request = waitRequest(
+      "/chat/completions",
+      new Response(createChatStream("Hello"), {
+        status: 200,
+        headers: { "Content-Type": "text/event-stream" },
+      }),
+    )
+
+    await using tmp = await tmpdir({
+      init: async (dir) => {
+        await Bun.write(
+          path.join(dir, "opencode.json"),
+          JSON.stringify({
+            $schema: "https://opencode.ai/config.json",
+            enabled_providers: [providerID],
+            provider: {
+              [providerID]: {
+                options: {
+                  apiKey: "test-key",
+                  baseURL: `${server.url.origin}/v1`,
+                },
+              },
+            },
+          }),
+        )
+      },
+    })
+
+    await Instance.provide({
+      directory: tmp.path,
+      fn: async () => {
+        const resolved = await Provider.getModel(providerID, model.id)
+        const sessionID = "session-test-tools"
+        const agent = {
+          name: "test",
+          mode: "primary",
+          options: {},
+          permission: [{ permission: "question", pattern: "*", action: "deny" }],
+        } satisfies Agent.Info
+
+        const user = {
+          id: "user-tools",
+          sessionID,
+          role: "user",
+          time: { created: Date.now() },
+          agent: agent.name,
+          model: { providerID, modelID: resolved.id },
+          tools: { question: true },
+        } satisfies MessageV2.User
+
+        const stream = await LLM.stream({
+          user,
+          sessionID,
+          model: resolved,
+          agent,
+          permission: [{ permission: "question", pattern: "*", action: "allow" }],
+          system: ["You are a helpful assistant."],
+          abort: new AbortController().signal,
+          messages: [{ role: "user", content: "Hello" }],
+          tools: {
+            question: tool({
+              description: "Ask a question",
+              inputSchema: z.object({}),
+              execute: async () => ({ output: "" }),
+            }),
+          },
+        })
+
+        for await (const _ of stream.fullStream) {
+        }
+
+        const capture = await request
+        const tools = capture.body.tools as Array<{ function?: { name?: string } }> | undefined
+        expect(tools?.some((item) => item.function?.name === "question")).toBe(true)
+      },
+    })
+  })
+
   test("sends responses API payload for OpenAI models", async () => {
     const server = state.server
     if (!server) {