feat: customize model provider requests

Model connections can now save bounded JSON request headers and top-level body fields. Direct requests and Continue support both; local OpenCode and DeepSeek Harness use only native header support, while the managed remote OpenCode gateway applies both.

Runtime, protocol, and authentication fields keep precedence. Custom values are ordinary connection settings, not credential storage. This migrates Runtime settings from v20 to v21 and updates the DeepSeek control and managed Runtime ACP capabilities.

Release note: 模型连接详情新增自定义请求头和请求体；直连与 Continue 支持两者，本地 OpenCode 和 DeepSeek Harness 仅应用原生支持的请求头，受管远程 OpenCode 支持两者，界面会明确提示生效范围。

src/main/agent/model-runtime.test.ts

@@ -464,6 +464,59 @@ describe('ModelAgentRuntime', () => {
     expect(fetcher).toHaveBeenCalledOnce()
   })
 
+  it('merges custom headers and body fields into a direct model request without overriding runtime fields', async () => {
+    const fetcher = vi.fn<typeof fetch>(async (_input, init) => {
+      const body = JSON.parse(init?.body as string) as {
+        messages: Array<{ content: string }>
+      }
+      const marker =
+        /GOODBUDDY_MODEL_TEST_[A-F0-9]+/u.exec(
+          body.messages[0]?.content ?? ''
+        )?.[0]
+      return Response.json({
+        choices: [
+          {
+            message: {
+              role: 'assistant',
+              content: marker
+            }
+          }
+        ]
+      })
+    })
+    const runtime = new ModelAgentRuntime({
+      apiKey: 'runtime-key',
+      baseUrl: 'https://model.example/v1',
+      model: 'runtime-model',
+      protocol: 'openai-chat-completions',
+      authentication: 'api-key',
+      requestHeaders: {
+        'x-tenant-id': 'tenant-a',
+        authorization: 'Bearer custom-key'
+      },
+      requestBody: {
+        temperature: 0.2,
+        model: 'custom-model',
+        stream: true
+      },
+      fetcher
+    })
+
+    await expect(runtime.testConnection()).resolves.toMatchObject({
+      available: true
+    })
+    const init = fetcher.mock.calls[0]?.[1]
+    const headers = new Headers(init?.headers)
+    const body = JSON.parse(String(init?.body)) as Record<string, unknown>
+    expect(headers.get('x-tenant-id')).toBe('tenant-a')
+    expect(headers.get('authorization')).toBe('Bearer runtime-key')
+    expect(body).toMatchObject({
+      model: 'runtime-model',
+      stream: false,
+      temperature: 0.2
+    })
+  })
+
   it('uses the Anthropic messages endpoint and streams text deltas', async () => {
     const fetcher = vi.fn<typeof fetch>(async () => {
       return new Response(createEventStream('真实模型回答', '先分析问题'), {
@@ -569,6 +622,8 @@ describe('ModelAgentRuntime', () => {
       model: 'sonnet-5',
       protocol: 'anthropic-messages',
       authentication: 'api-key',
+      requestHeaders: { 'x-model-route': 'summary-test' },
+      requestBody: { temperature: 0.1 },
       fetcher,
       contextCompression: {
         settings: {
@@ -622,6 +677,14 @@ describe('ModelAgentRuntime', () => {
     }
 
     expect(fetcher).toHaveBeenCalledTimes(2)
+    for (const [, init] of fetcher.mock.calls) {
+      expect(new Headers(init?.headers).get('x-model-route')).toBe(
+        'summary-test'
+      )
+      expect(JSON.parse(String(init?.body))).toMatchObject({
+        temperature: 0.1
+      })
+    }
     const summaryBody = JSON.parse(
       fetcher.mock.calls[0]![1]!.body as string
     ) as { max_tokens: number; system: string; messages: unknown[] }
@@ -5168,6 +5231,11 @@ describe('ModelAgentRuntime', () => {
       protocol: 'openai-images-generations',
       authentication: 'api-key',
       imageGenerationQuality: 'medium',
+      requestHeaders: { 'x-image-route': 'internal' },
+      requestBody: {
+        background: 'transparent',
+        quality: 'high'
+      },
       fetcher
     })
 
@@ -5185,8 +5253,14 @@ describe('ModelAgentRuntime', () => {
       model: 'gpt-image-2',
       n: 1,
       quality: 'medium',
+      background: 'transparent',
       response_format: 'b64_json'
     })
+    expect(
+      new Headers(fetcher.mock.calls[0]?.[1]?.headers).get(
+        'x-image-route'
+      )
+    ).toBe('internal')
   })
 
   it('generates a bounded image through the BigToken-compatible endpoint', async () => {