test(core): verify Mistral image requests

packages/core/test/aisdk.test.ts

@@ -1,5 +1,6 @@
 import { APICallError } from "@ai-sdk/provider"
 import type { LanguageModelV3, LanguageModelV3StreamPart } from "@ai-sdk/provider"
+import { createMistral } from "@ai-sdk/mistral"
 import { AISDK } from "@opencode-ai/core/aisdk"
 import { SessionRunnerRetry } from "@opencode-ai/core/session/runner/retry"
 import { toSessionError } from "@opencode-ai/core/session/to-session-error"
@@ -341,6 +342,66 @@ it.effect("preserves multimodal messages in AI SDK prompts", () =>
   }),
 )
 
+it.effect("sends images through the real Mistral AI SDK provider", () =>
+  Effect.gen(function* () {
+    const aisdk = yield* AISDK.Service
+    let body: { messages?: unknown[] } | undefined
+    const mockFetch = Object.assign(
+      async (_input: Parameters<typeof fetch>[0], init?: RequestInit) => {
+        body = JSON.parse(String(init?.body))
+        const chunks = [
+          {
+            id: "response-1",
+            created: 0,
+            model: "pixtral-large-latest",
+            choices: [{ index: 0, delta: { content: [{ type: "text", text: "I see it." }] } }],
+          },
+          {
+            id: "response-1",
+            created: 0,
+            model: "pixtral-large-latest",
+            choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+            usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+          },
+        ]
+        return new Response(chunks.map((chunk) => `data: ${JSON.stringify(chunk)}\n\n`).join(""), {
+          headers: { "Content-Type": "text/event-stream" },
+        })
+      },
+      { preconnect: fetch.preconnect },
+    )
+    yield* aisdk.hook.sdk((event) => {
+      event.sdk = createMistral({ apiKey: "test", fetch: mockFetch })
+    })
+
+    const resolved = yield* aisdk.model({
+      ...model("@ai-sdk/mistral"),
+      modelID: Model.ID.make("pixtral-large-latest"),
+    })
+    yield* LLMClient.generate(
+      LLM.request({
+        model: resolved,
+        messages: [
+          Message.user([
+            { type: "text", text: "What is in this image?" },
+            { type: "media", mediaType: "image/png", data: "AAAA", filename: "pixel.png" },
+          ]),
+        ],
+      }),
+    ).pipe(Effect.provide(client))
+
+    expect(body?.messages).toEqual([
+      {
+        role: "user",
+        content: [
+          { type: "text", text: "What is in this image?" },
+          { type: "image_url", image_url: "data:image/png;base64,AAAA" },
+        ],
+      },
+    ])
+  }),
+)
+
 it.effect("preserves tool result content in AI SDK prompts", () =>
   Effect.gen(function* () {
     const aisdk = yield* AISDK.Service