fix(proxy): harden Anthropic request transformation semantics

- enforce strict tool_result ordering and pairing against assistant tool_use ids
- reject tool_result image payloads that cannot map to OpenAI tool messages
- preserve raw tool schemas on the /v1/messages proxy path instead of silently tightening them
- forward Anthropic tool_choice semantics and cover adaptive routing plus upstream payload checks

src/proxy/transformers/request-transformer.ts

@@ -1,5 +1,3 @@
-import { normalizeSchemaForOpenAI } from '../../utils/schema-sanitizer';
-
 interface AnthropicThinking {
   type?: 'enabled' | 'disabled' | 'adaptive' | string;
   budget_tokens?: number;
@@ -50,6 +48,12 @@ interface AnthropicOutputConfig {
   effort?: 'low' | 'medium' | 'high' | 'max' | string;
 }
 
+interface AnthropicToolChoice {
+  type?: 'auto' | 'any' | 'tool' | 'none' | string;
+  name?: string;
+  disable_parallel_tool_use?: boolean;
+}
+
 interface AnthropicProxyRequestShape {
   model?: unknown;
   system?: unknown;
@@ -60,6 +64,7 @@ interface AnthropicProxyRequestShape {
   stop_sequences?: unknown;
   metadata?: unknown;
   tools?: unknown;
+  tool_choice?: AnthropicToolChoice;
   stream?: unknown;
   thinking?: AnthropicThinking;
   output_config?: AnthropicOutputConfig;
@@ -109,6 +114,17 @@ export interface ProxyOpenAIRequest {
       parameters: Record<string, unknown>;
     };
   }>;
+  tool_choice?:
+    | 'auto'
+    | 'none'
+    | 'required'
+    | {
+        type: 'function';
+        function: {
+          name: string;
+        };
+      };
+  parallel_tool_calls?: boolean;
   messages: OpenAIMessage[];
   max_tokens?: number;
   temperature?: number;
@@ -181,10 +197,7 @@ function flattenTextContent(content: unknown, label: string): string {
  * Handles strings, arrays with text/image blocks, and error prefixing.
  * Ported from openclaude's convertToolResultContent.
  */
-function convertToolResultContent(
+function convertToolResultContent(content: unknown, isError: boolean, label: string): string {
-  content: unknown,
-  isError: boolean
-): string | OpenAIContentPart[] {
   if (content === undefined) {
     return '';
   }
@@ -196,43 +209,32 @@ function convertToolResultContent(
     return isError ? `Error: ${text}` : text;
   }
 
-  const parts: OpenAIContentPart[] = [];
+  const parts: string[] = [];
-  for (const block of content) {
+  for (const [index, block] of content.entries()) {
-    if (block?.type === 'text' && typeof block.text === 'string') {
+    const parsed = assertObject(block, `${label}[${index}]`);
-      parts.push({ type: 'text', text: block.text });
+
+    if (parsed.type === 'text' && typeof parsed.text === 'string') {
+      parts.push(parsed.text);
       continue;
     }
 
-    if (block?.type === 'image') {
+    if (parsed.type === 'image') {
-      const source = block.source;
+      throw new Error(`${label}[${index}].type "image" is not supported in tool_result content`);
-      if (source?.type === 'url' && source.url) {
+    }
-        parts.push({ type: 'image_url', image_url: { url: source.url } });
+
-      } else if (source?.type === 'base64' && source.media_type && source.data) {
+    if (typeof parsed.text === 'string') {
-        parts.push({
+      parts.push(parsed.text);
-          type: 'image_url',
-          image_url: { url: `data:${source.media_type};base64,${source.data}` },
-        });
-      }
       continue;
     }
 
-    if (typeof block?.text === 'string') {
+    throw new Error(`${label}[${index}].type "${String(parsed.type)}" is not supported`);
-      parts.push({ type: 'text', text: block.text });
-    }
   }
 
-  if (parts.length === 0) return '';
+  const text = parts.join('\n');
-  if (parts.length === 1 && parts[0].type === 'text') {
+  if (!text) {
-    const text = (parts[0] as OpenAITextPart).text;
+    return isError ? 'Error:' : '';
-    return isError ? `Error: ${text}` : text;
   }
-  if (isError && parts[0]?.type === 'text') {
+  return isError ? `Error: ${text}` : text;
-    parts[0] = { ...parts[0], text: `Error: ${(parts[0] as OpenAITextPart).text}` };
-  } else if (isError) {
-    parts.unshift({ type: 'text', text: 'Error:' });
-  }
-
-  return parts;
 }
 
 function createFallbackToolId(messageIndex: number, blockIndex: number): string {
@@ -310,7 +312,7 @@ function transformTools(value: unknown): ProxyOpenAIRequest['tools'] {
         function: {
           name: typeof entry.name === 'string' ? entry.name : 'tool',
           ...(typeof entry.description === 'string' ? { description: entry.description } : {}),
-          parameters: normalizeSchemaForOpenAI(rawSchema),
+          parameters: rawSchema,
         },
       };
     });
@@ -318,6 +320,45 @@ function transformTools(value: unknown): ProxyOpenAIRequest['tools'] {
   return tools.length > 0 ? tools : undefined;
 }
 
+function transformToolChoice(
+  value: AnthropicToolChoice | undefined,
+  hasTools: boolean
+): Pick<ProxyOpenAIRequest, 'tool_choice' | 'parallel_tool_calls'> {
+  if (!value) {
+    return hasTools ? { tool_choice: 'auto' } : {};
+  }
+
+  if (!hasTools) {
+    throw new Error('tool_choice requires tools');
+  }
+
+  const parallelToolCalls =
+    value.disable_parallel_tool_use === true ? { parallel_tool_calls: false } : {};
+
+  switch (value.type) {
+    case undefined:
+    case 'auto':
+      return { tool_choice: 'auto', ...parallelToolCalls };
+    case 'none':
+      return { tool_choice: 'none' };
+    case 'any':
+      return { tool_choice: 'required', ...parallelToolCalls };
+    case 'tool':
+      if (typeof value.name !== 'string' || value.name.trim().length === 0) {
+        throw new Error('tool_choice.name must be a non-empty string when type is "tool"');
+      }
+      return {
+        tool_choice: {
+          type: 'function',
+          function: { name: value.name.trim() },
+        },
+        ...parallelToolCalls,
+      };
+    default:
+      throw new Error('tool_choice.type must be "auto", "any", "tool", or "none"');
+  }
+}
+
 function mapThinkingToReasoning(
   thinking: AnthropicThinking | undefined,
   outputConfig: AnthropicOutputConfig | undefined
@@ -384,6 +425,8 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
   }
 
   const translatedMessages: OpenAIMessage[] = [];
+  let pendingToolUseIds: Set<string> | null = null;
+  let hasPendingToolUseIds = false;
 
   messagesValue.forEach((message, messageIndex) => {
     const parsedMessage = assertObject(message, `messages[${messageIndex}]`) as AnthropicMessage;
@@ -392,8 +435,19 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
       throw new Error(`messages[${messageIndex}].role must be "user" or "assistant"`);
     }
 
+    if (pendingToolUseIds && pendingToolUseIds.size > 0 && role !== 'user') {
+      throw new Error(
+        `messages[${messageIndex}].role must be "user" with tool_result blocks after assistant tool_use`
+      );
+    }
+
     const content = parsedMessage.content;
     if (typeof content === 'string') {
+      if (pendingToolUseIds && pendingToolUseIds.size > 0) {
+        throw new Error(
+          `messages[${messageIndex}].content must start with tool_result blocks for pending tool_use ids`
+        );
+      }
       translatedMessages.push({ role, content });
       return;
     }
@@ -405,6 +459,7 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
     if (role === 'user') {
       const userParts: OpenAIContentPart[] = [];
       let sawToolResult = false;
+      const resolvedToolUseIds = new Set<string>();
 
       content.forEach((block, blockIndex) => {
         const parsed = assertObject(
@@ -417,28 +472,62 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
         }
 
         if (parsed.type === 'text') {
+          if (sawToolResult) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}] text is not allowed after tool_result blocks`
+            );
+          }
           const text = typeof parsed.text === 'string' ? parsed.text : '';
           userParts.push({ type: 'text', text });
           return;
         }
 
         if (isImageBlock(parsed)) {
+          if (sawToolResult) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}] image is not allowed after tool_result blocks`
+            );
+          }
           userParts.push(toImagePart(parsed, `messages[${messageIndex}].content[${blockIndex}]`));
           return;
         }
 
         if (isToolResultBlock(parsed)) {
+          if (!pendingToolUseIds || pendingToolUseIds.size === 0) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}] tool_result requires a preceding assistant tool_use`
+            );
+          }
+          if (userParts.length > 0) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}] tool_result blocks must come before other user content`
+            );
+          }
           if (typeof parsed.tool_use_id !== 'string' || parsed.tool_use_id.trim().length === 0) {
             throw new Error(
               `messages[${messageIndex}].content[${blockIndex}].tool_use_id must be a non-empty string`
             );
           }
+          if (!pendingToolUseIds.has(parsed.tool_use_id)) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}].tool_use_id "${parsed.tool_use_id}" does not match a pending tool_use`
+            );
+          }
+          if (resolvedToolUseIds.has(parsed.tool_use_id)) {
+            throw new Error(
+              `messages[${messageIndex}].content[${blockIndex}].tool_use_id "${parsed.tool_use_id}" is duplicated`
+            );
+          }
           sawToolResult = true;
-          flushUserContent(translatedMessages, userParts);
+          resolvedToolUseIds.add(parsed.tool_use_id);
           translatedMessages.push({
             role: 'tool',
             tool_call_id: parsed.tool_use_id,
-            content: convertToolResultContent(parsed.content, parsed.is_error === true),
+            content: convertToolResultContent(
+              parsed.content,
+              parsed.is_error === true,
+              `messages[${messageIndex}].content[${blockIndex}].content`
+            ),
           });
           return;
         }
@@ -454,7 +543,24 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
         );
       });
 
-      if (userParts.length > 0 || !sawToolResult) {
+      if (sawToolResult) {
+        if (resolvedToolUseIds.size !== pendingToolUseIds?.size) {
+          throw new Error(
+            `messages[${messageIndex}].content must provide tool_result blocks for all pending tool_use ids`
+          );
+        }
+        pendingToolUseIds = null;
+        hasPendingToolUseIds = false;
+        return;
+      }
+
+      if (pendingToolUseIds && pendingToolUseIds.size > 0) {
+        throw new Error(
+          `messages[${messageIndex}].content must start with tool_result blocks for pending tool_use ids`
+        );
+      }
+
+      if (userParts.length > 0) {
         flushUserContent(translatedMessages, userParts);
       }
       return;
@@ -506,12 +612,20 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
           `messages[${messageIndex}].content[${blockIndex}] tool_result requires user role`
         );
       }
+
+      throw new Error(
+        `messages[${messageIndex}].content[${blockIndex}].type "${String(parsed.type)}" is not supported`
+      );
     });
 
     if (assistantTextParts.length === 0 && toolCalls.length === 0) {
       return;
     }
 
+    pendingToolUseIds =
+      toolCalls.length > 0 ? new Set(toolCalls.map((toolCall) => toolCall.id)) : null;
+    hasPendingToolUseIds = toolCalls.length > 0;
+
     translatedMessages.push({
       role: 'assistant',
       content: assistantTextParts.join('\n'),
@@ -519,6 +633,10 @@ function transformMessages(messagesValue: unknown): OpenAIMessage[] {
     });
   });
 
+  if (hasPendingToolUseIds) {
+    throw new Error('messages must provide tool_result blocks for the latest assistant tool_use');
+  }
+
   return translatedMessages;
 }
 
@@ -565,6 +683,7 @@ function coalesceMessages(messages: OpenAIMessage[]): OpenAIMessage[] {
 export class ProxyRequestTransformer {
   transform(raw: unknown): ProxyOpenAIRequest {
     const source = assertObject(raw || {}, 'request') as AnthropicProxyRequestShape;
+    const tools = transformTools(source.tools);
     const messages = transformMessages(source.messages);
     const system = source.system;
     const allMessages =
@@ -587,7 +706,8 @@ export class ProxyRequestTransformer {
       top_p: asNumber(source.top_p),
       stop: asStringArray(source.stop_sequences),
       metadata: asMetadata(source.metadata),
-      tools: transformTools(source.tools),
+      tools,
+      ...transformToolChoice(source.tool_choice, tools !== undefined),
       ...mapThinkingToReasoning(source.thinking, source.output_config),
     };
   }

tests/integration/proxy/messages-endpoint.test.ts

@@ -116,13 +116,63 @@ describe('openai proxy messages endpoint', () => {
 
     const parsedUpstream = upstreamBody as {
       messages?: Array<{ role: string; content: string }>;
+      tool_choice?: unknown;
       tools?: Array<{ type: string; function: { name: string } }>;
     };
     expect(parsedUpstream.messages?.[0]).toEqual({ role: 'user', content: 'Find docs' });
+    expect(parsedUpstream.tool_choice).toBe('auto');
     expect(parsedUpstream.tools?.[0]?.type).toBe('function');
     expect(parsedUpstream.tools?.[0]?.function.name).toBe('search');
   });
 
+  it('preserves tool schemas and forwards explicit tool_choice semantics upstream', async () => {
+    const response = await requestProxy({
+      model: 'hf-model',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'Search docs' }] }],
+      tools: [
+        {
+          name: 'search',
+          description: 'Search docs',
+          input_schema: {
+            type: 'object',
+            properties: {
+              q: { type: 'string', pattern: '^[a-z]+$' },
+            },
+            required: ['q'],
+            additionalProperties: true,
+          },
+        },
+      ],
+      tool_choice: {
+        type: 'tool',
+        name: 'search',
+        disable_parallel_tool_use: true,
+      },
+    });
+
+    expect(response.status).toBe(200);
+
+    const parsedUpstream = upstreamBody as {
+      tool_choice?: unknown;
+      parallel_tool_calls?: boolean;
+      tools?: Array<{ type: string; function: { parameters: Record<string, unknown> } }>;
+    };
+
+    expect(parsedUpstream.tool_choice).toEqual({
+      type: 'function',
+      function: { name: 'search' },
+    });
+    expect(parsedUpstream.parallel_tool_calls).toBe(false);
+    expect(parsedUpstream.tools?.[0]?.function.parameters).toEqual({
+      type: 'object',
+      properties: {
+        q: { type: 'string', pattern: '^[a-z]+$' },
+      },
+      required: ['q'],
+      additionalProperties: true,
+    });
+  });
+
   it('falls back to Anthropic JSON for non-streaming requests', async () => {
     const response = await requestProxy({
       model: 'hf-model',
@@ -155,6 +205,24 @@ describe('openai proxy messages endpoint', () => {
     expect(body.error?.message).toContain('Invalid JSON');
   });
 
+  it('returns invalid_request_error for orphan tool_result blocks', async () => {
+    const response = await requestProxy({
+      model: 'hf-model',
+      messages: [
+        {
+          role: 'user',
+          content: [{ type: 'tool_result', tool_use_id: 'toolu_orphan', content: 'orphan' }],
+        },
+      ],
+    });
+
+    const body = (await response.json()) as { error?: { type?: string; message?: string } };
+
+    expect(response.status).toBe(400);
+    expect(body.error?.type).toBe('invalid_request_error');
+    expect(body.error?.message).toContain('tool_result requires a preceding assistant tool_use');
+  });
+
   it('rejects requests without the local proxy auth token', async () => {
     const response = await fetch(`http://127.0.0.1:${proxyPort}/v1/messages`, {
       method: 'POST',

tests/integration/proxy/request-routing.test.ts

@@ -214,4 +214,75 @@ describe('openai proxy request routing', () => {
     expect(hits).toEqual(['thinker']);
     expect(bodies[0]?.body).toMatchObject({ model: 'deepseek-reasoner' });
   });
+
+  it('routes adaptive thinking requests through the configured think scenario', async () => {
+    const primaryPort = await getPort();
+    const thinkPort = await getPort();
+    const hits: string[] = [];
+    const bodies: Array<{ label: string; body: unknown }> = [];
+    await startMockUpstream(primaryPort, 'primary', hits, bodies);
+    await startMockUpstream(thinkPort, 'thinker', hits, bodies);
+
+    const primarySettings = writeSettings('hf', {
+      ANTHROPIC_BASE_URL: `http://127.0.0.1:${primaryPort}`,
+      ANTHROPIC_AUTH_TOKEN: 'hf_token',
+      ANTHROPIC_MODEL: 'hf-default',
+      CCS_DROID_PROVIDER: 'generic-chat-completion-api',
+    });
+    const thinkSettings = writeSettings('thinker', {
+      ANTHROPIC_BASE_URL: `http://127.0.0.1:${thinkPort}`,
+      ANTHROPIC_AUTH_TOKEN: 'think_token',
+      ANTHROPIC_MODEL: 'deepseek-reasoner',
+      CCS_DROID_PROVIDER: 'generic-chat-completion-api',
+    });
+
+    fs.writeFileSync(
+      path.join(tempDir, '.ccs', 'config.json'),
+      JSON.stringify(
+        {
+          profiles: { hf: primarySettings, thinker: thinkSettings },
+          proxy: {
+            routing: {
+              think: 'thinker:deepseek-reasoner',
+            },
+          },
+        },
+        null,
+        2
+      ),
+      'utf8'
+    );
+
+    const profile: OpenAICompatProfileConfig = {
+      profileName: 'hf',
+      settingsPath: primarySettings,
+      baseUrl: `http://127.0.0.1:${primaryPort}`,
+      apiKey: 'hf_token',
+      provider: 'generic-chat-completion-api',
+      model: 'hf-default',
+    };
+    proxyServer = startOpenAICompatProxyServer({
+      profile,
+      port: proxyPort,
+      authToken: 'test-proxy-token',
+    });
+
+    const response = await requestProxy({
+      model: 'hf-default',
+      thinking: { type: 'adaptive' },
+      output_config: { effort: 'max' },
+      messages: [{ role: 'user', content: 'think adaptively' }],
+    });
+
+    expect(response.status).toBe(200);
+    expect(await response.json()).toMatchObject({
+      content: [{ type: 'text', text: 'Reply from thinker' }],
+    });
+    expect(hits).toEqual(['thinker']);
+    expect(bodies[0]?.body).toMatchObject({
+      model: 'deepseek-reasoner',
+      reasoning_effort: 'high',
+      reasoning: { enabled: true, effort: 'high' },
+    });
+  });
 });

tests/unit/proxy/transformers/request-transformer-regressions.test.ts

@@ -74,8 +74,114 @@ describe('ProxyRequestTransformer regressions', () => {
     ).toThrow('tool_result requires user role');
   });
 
-  it('translates url images and error tool results while coalescing repeated turns', () => {
+  it('rejects orphaned, incomplete, or mixed-order tool_result blocks', () => {
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'user',
+            content: [{ type: 'tool_result', tool_use_id: 'toolu_1', content: 'orphan' }],
+          },
+        ],
+      })
+    ).toThrow('tool_result requires a preceding assistant tool_use');
+
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'assistant',
+            content: [
+              { type: 'tool_use', id: 'toolu_1', name: 'search', input: { q: 'docs' } },
+              { type: 'tool_use', id: 'toolu_2', name: 'open', input: { url: 'https://example.com' } },
+            ],
+          },
+          {
+            role: 'user',
+            content: [{ type: 'tool_result', tool_use_id: 'toolu_1', content: 'partial' }],
+          },
+        ],
+      })
+    ).toThrow('must provide tool_result blocks for all pending tool_use ids');
+
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'assistant',
+            content: [{ type: 'tool_use', id: 'toolu_1', name: 'vision', input: { detail: 'high' } }],
+          },
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Here you go' },
+              { type: 'tool_result', tool_use_id: 'toolu_1', content: 'result' },
+            ],
+          },
+        ],
+      })
+    ).toThrow('tool_result blocks must come before other user content');
+
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'assistant',
+            content: [{ type: 'tool_use', id: 'toolu_1', name: 'vision', input: { detail: 'high' } }],
+          },
+          {
+            role: 'user',
+            content: 'plain follow-up',
+          },
+        ],
+      })
+    ).toThrow('must start with tool_result blocks for pending tool_use ids');
+  });
+
+  it('rejects tool_result content that cannot be represented as OpenAI tool text', () => {
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'assistant',
+            content: [{ type: 'tool_use', id: 'toolu_1', name: 'vision', input: { detail: 'high' } }],
+          },
+          {
+            role: 'user',
+            content: [
+              {
+                type: 'tool_result',
+                tool_use_id: 'toolu_1',
+                content: [{ type: 'image', source: { type: 'url', url: 'https://example.com/error.png' } }],
+              },
+            ],
+          },
+        ],
+      })
+    ).toThrow('type "image" is not supported in tool_result content');
+  });
+
+  it('rejects unsupported assistant blocks instead of silently dropping them', () => {
+    expect(() =>
+      new ProxyRequestTransformer().transform({
+        messages: [
+          {
+            role: 'assistant',
+            content: [{ type: 'server_tool_use', id: 'srv_1' }],
+          },
+        ],
+      })
+    ).toThrow('type "server_tool_use" is not supported');
+  });
+
+  it('translates url images and tool_choice while coalescing repeated turns', () => {
     const result = new ProxyRequestTransformer().transform({
+      tool_choice: {
+        type: 'tool',
+        name: 'vision',
+        disable_parallel_tool_use: true,
+      },
+      tools: [{ name: 'vision', description: 'Inspect image', input_schema: { type: 'object' } }],
       messages: [
         {
           role: 'user',
@@ -97,16 +203,19 @@ describe('ProxyRequestTransformer regressions', () => {
               type: 'tool_result',
               tool_use_id: 'toolu_1',
               is_error: true,
-              content: [
+              content: [{ type: 'text', text: 'fetch failed' }],
-                { type: 'text', text: 'fetch failed' },
-                { type: 'image', source: { type: 'url', url: 'https://example.com/error.png' } },
-              ],
             },
           ],
         },
       ],
     });
 
+    expect(result.tool_choice).toEqual({
+      type: 'function',
+      function: { name: 'vision' },
+    });
+    expect(result.parallel_tool_calls).toBe(false);
+
     expect(result.messages[0]).toEqual({
       role: 'user',
       content: [
@@ -131,10 +240,16 @@ describe('ProxyRequestTransformer regressions', () => {
     expect(result.messages[2]).toEqual({
       role: 'tool',
       tool_call_id: 'toolu_1',
-      content: [
+      content: 'Error: fetch failed',
-        { type: 'text', text: 'Error: fetch failed' },
-        { type: 'image_url', image_url: { url: 'https://example.com/error.png' } },
-      ],
     });
   });
+
+  it('defaults tools to auto tool_choice when none is specified', () => {
+    const result = new ProxyRequestTransformer().transform({
+      messages: [{ role: 'user', content: 'hello' }],
+      tools: [{ name: 'search', description: 'Search docs', input_schema: { type: 'object' } }],
+    });
+
+    expect(result.tool_choice).toBe('auto');
+  });
 });