diff --git a/CHANGELOG.md b/CHANGELOG.md
index 94559d8..c743513 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,20 @@
 # @copilotkit/aimock
 
+## 1.14.0
+
+### Minor Changes
+
+- Response template merging — override `id`, `created`, `model`, `usage`, `finishReason`, `role`, `systemFingerprint` on fixture responses across all 4 provider formats (OpenAI, Claude, Gemini, Responses API) (#111)
+- JSON auto-stringify — fixture `arguments` and `content` fields accept objects that are auto-stringified by the loader, eliminating escaped JSON pain (#111)
+- Migration guide from openai-responses-python (#111)
+- All fixture examples and docs converted to object syntax (#111)
+
+### Patch Changes
+
+- Fix `onTranscription` docs to show correct 1-argument signature
+- Fix `validateFixtures` to recognize ContentWithToolCalls and multimedia response types
+- Add `ResponseOverrides` field validation in `validateFixtures` — catches invalid types for `id`, `created`, `model`, `usage`, `finishReason`, `role`, `systemFingerprint`
+
 ## 1.13.0
 
 ### Minor Changes
diff --git a/README.md b/README.md
index 982b679..2a6df7a 100644
--- a/README.md
+++ b/README.md
@@ -52,6 +52,7 @@ Run them all on one port with `npx aimock --config aimock.json`, or use the prog
 - **[Prometheus Metrics](https://aimock.copilotkit.dev/metrics)** — Request counts, latencies, fixture match rates
 - **[Docker + Helm](https://aimock.copilotkit.dev/docker)** — Container image and Helm chart for CI/CD
 - **[Vitest & Jest Plugins](https://aimock.copilotkit.dev/test-plugins)** — Zero-config `useAimock()` with auto lifecycle and env patching
+- **[Response Overrides](https://aimock.copilotkit.dev/fixtures)** — Control `id`, `model`, `usage`, `finishReason` in fixture responses
 - **Zero dependencies** — Everything from Node.js builtins
 
 ## GitHub Action
@@ -94,7 +95,7 @@ Test your AI agents with aimock — no API keys, no network calls: [LangChain](h
 
 ## Switching from other tools?
 
-Step-by-step migration guides: [MSW](https://aimock.copilotkit.dev/migrate-from-msw) · [VidaiMock](https://aimock.copilotkit.dev/migrate-from-vidaimock) · [mock-llm](https://aimock.copilotkit.dev/migrate-from-mock-llm) · [piyook/llm-mock](https://aimock.copilotkit.dev/migrate-from-piyook) · [Python mocks](https://aimock.copilotkit.dev/migrate-from-python-mocks) · [Mokksy](https://aimock.copilotkit.dev/migrate-from-mokksy)
+Step-by-step migration guides: [MSW](https://aimock.copilotkit.dev/migrate-from-msw) · [VidaiMock](https://aimock.copilotkit.dev/migrate-from-vidaimock) · [mock-llm](https://aimock.copilotkit.dev/migrate-from-mock-llm) · [piyook/llm-mock](https://aimock.copilotkit.dev/migrate-from-piyook) · [Python mocks](https://aimock.copilotkit.dev/migrate-from-python-mocks) · [openai-responses](https://aimock.copilotkit.dev/migrate-from-openai-responses) · [Mokksy](https://aimock.copilotkit.dev/migrate-from-mokksy)
 
 ## Documentation
 
diff --git a/docs/aws-bedrock/index.html b/docs/aws-bedrock/index.html
index 1d6c73e..b37c979 100644
--- a/docs/aws-bedrock/index.html
+++ b/docs/aws-bedrock/index.html
@@ -214,7 +214,7 @@ <h2>Fixture Examples</h2>
       <span class="prop">"response"</span>: {
         <span class="prop">"toolCalls"</span>: [{
           <span class="prop">"name"</span>: <span class="str">"get_weather"</span>,
-          <span class="prop">"arguments"</span>: <span class="str">"{\"city\":\"SF\"}"</span>
+          <span class="prop">"arguments"</span>: { <span class="prop">"city"</span>: <span class="str">"SF"</span> }
         }]
       }
     }
diff --git a/docs/chat-completions/index.html b/docs/chat-completions/index.html
index 1a689bb..3dbc84f 100644
--- a/docs/chat-completions/index.html
+++ b/docs/chat-completions/index.html
@@ -120,9 +120,10 @@ <h2>Unit Test: Tool Calls</h2>
         <div class="code-block">
           <div class="code-block-header">tool-calls.test.ts <span class="lang-tag">ts</span></div>
           <pre><code><span class="fn">it</span>(<span class="str">"returns tool call in streaming mode"</span>, <span class="kw">async</span> () <span class="kw">=&gt;</span> {
+  <span class="cm">// arguments accepts objects (auto-stringified) or JSON strings</span>
   <span class="op">mock</span>.<span class="fn">on</span>(
     { <span class="prop">userMessage</span>: <span class="str">"weather"</span> },
-    { <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: <span class="str">'{"city":"SF"}'</span> }] }
+    { <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: { <span class="prop">city</span>: <span class="str">"SF"</span> } }] }
   );
 
   <span class="kw">const</span> <span class="op">res</span> = <span class="kw">await</span> <span class="fn">fetch</span>(<span class="str">`${mock.url}/v1/chat/completions`</span>, {
@@ -147,7 +148,7 @@ <h2>Integration Test: Streaming SSE</h2>
           <div class="code-block-header">
             streaming-integration.test.ts <span class="lang-tag">ts</span>
           </div>
-          <pre><code><span class="kw">import</span> { <span class="fn">createServer</span>, <span class="kw">type</span> <span class="type">ServerInstance</span> } <span class="kw">from</span> <span class="str">"@copilotkit/aimock/server"</span>;
+          <pre><code><span class="kw">import</span> { <span class="fn">createServer</span>, <span class="kw">type</span> <span class="type">ServerInstance</span> } <span class="kw">from</span> <span class="str">"@copilotkit/aimock"</span>;
 
 <span class="kw">const</span> <span class="op">instance</span> = <span class="kw">await</span> <span class="fn">createServer</span>(
   [{ <span class="prop">match</span>: { <span class="prop">userMessage</span>: <span class="str">"hello"</span> }, <span class="prop">response</span>: { <span class="prop">content</span>: <span class="str">"Hello! How can I help?"</span> } }],
@@ -192,7 +193,7 @@ <h2>JSON Fixture</h2>
       <span class="key">"response"</span>: {
         <span class="key">"toolCalls"</span>: [{
           <span class="key">"name"</span>: <span class="str">"get_weather"</span>,
-          <span class="key">"arguments"</span>: <span class="str">"{\"city\":\"SF\"}"</span>
+          <span class="key">"arguments"</span>: { <span class="key">"city"</span>: <span class="str">"SF"</span> }
         }]
       }
     }
diff --git a/docs/claude-messages/index.html b/docs/claude-messages/index.html
index 5c97580..58c2841 100644
--- a/docs/claude-messages/index.html
+++ b/docs/claude-messages/index.html
@@ -106,7 +106,7 @@ <h2>Unit Test: Tool Use</h2>
           <pre><code><span class="kw">const</span> <span class="op">toolFixture</span> = {
   <span class="prop">match</span>: { <span class="prop">userMessage</span>: <span class="str">"weather"</span> },
   <span class="prop">response</span>: {
-    <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: <span class="str">'{"city":"NYC"}'</span> }]
+    <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: { <span class="prop">city</span>: <span class="str">"NYC"</span> } }]
   },
 };
 
diff --git a/docs/cohere/index.html b/docs/cohere/index.html
index 539791b..9491470 100644
--- a/docs/cohere/index.html
+++ b/docs/cohere/index.html
@@ -188,7 +188,7 @@ <h2>Fixture Examples</h2>
         "toolCalls": [
           {
             "name": "web_search",
-            "arguments": "{\"query\":\"latest news\"}"
+            "arguments": { "query": "latest news" }
           }
         ]
       }
diff --git a/docs/docs/index.html b/docs/docs/index.html
index 7863533..10a3488 100644
--- a/docs/docs/index.html
+++ b/docs/docs/index.html
@@ -362,6 +362,8 @@ <h2>Switching from other tools?</h2>
           <a href="/migrate-from-mock-llm">mock-llm</a> <span class="sep">&middot;</span>
           <a href="/migrate-from-piyook">piyook/llm-mock</a> <span class="sep">&middot;</span>
           <a href="/migrate-from-python-mocks">Python mocks</a> <span class="sep">&middot;</span>
+          <a href="/migrate-from-openai-responses">openai-responses</a>
+          <span class="sep">&middot;</span>
           <a href="/migrate-from-mokksy">Mokksy</a>
         </div>
       </main>
diff --git a/docs/fixtures/index.html b/docs/fixtures/index.html
index b023802..c2d0e34 100644
--- a/docs/fixtures/index.html
+++ b/docs/fixtures/index.html
@@ -123,6 +123,13 @@ <h2>Match Fields</h2>
               <td>number</td>
               <td>Match on the Nth occurrence of this pattern</td>
             </tr>
+            <tr>
+              <td>endpoint</td>
+              <td>string</td>
+              <td>
+                Restrict to endpoint type: chat, image, speech, transcription, video, embedding
+              </td>
+            </tr>
             <tr>
               <td>predicate</td>
               <td>function</td>
@@ -152,6 +159,11 @@ <h2>Response Types</h2>
               <td>toolCalls[], finishReason?</td>
               <td>Function call(s) with name + arguments</td>
             </tr>
+            <tr>
+              <td>Content + Tool Calls</td>
+              <td>content, toolCalls[], reasoning?, finishReason?</td>
+              <td>Text and tool calls in a single response</td>
+            </tr>
             <tr>
               <td>Error</td>
               <td>error.message, error.type?, status?</td>
@@ -179,12 +191,99 @@ <h2>Response Types</h2>
             </tr>
             <tr>
               <td>Video</td>
-              <td>video.url, video.duration?</td>
+              <td>video.id, video.status, video.url?</td>
               <td>Generated video URL with async polling</td>
             </tr>
           </tbody>
         </table>
 
+        <div class="info-box">
+          <p>
+            <strong>Override fields:</strong> Text, Tool Call, and Content + Tool Calls responses
+            also accept the override fields listed below (<code>id</code>, <code>model</code>,
+            <code>usage</code>, <code>finishReason</code>, <code>role</code>,
+            <code>systemFingerprint</code>, <code>created</code>).
+          </p>
+        </div>
+
+        <div class="info-box">
+          <p>
+            <strong>JSON auto-stringify:</strong> In fixture files and programmatic API,
+            <code>arguments</code> and <code>content</code> fields accept both objects and strings.
+            Objects are automatically stringified via <code>JSON.stringify()</code>. Use the object
+            form for readability &mdash; no more escaped JSON strings.
+          </p>
+        </div>
+
+        <h2>Response Override Fields</h2>
+        <p>
+          Fixture responses can include optional fields to override auto-generated envelope values.
+          These map correctly across all provider formats (OpenAI, Claude, Gemini, Responses API).
+        </p>
+        <table class="endpoint-table">
+          <thead>
+            <tr>
+              <th>Field</th>
+              <th>Type</th>
+              <th>Description</th>
+            </tr>
+          </thead>
+          <tbody>
+            <tr>
+              <td>id</td>
+              <td>string</td>
+              <td>Override auto-generated response ID</td>
+            </tr>
+            <tr>
+              <td>created</td>
+              <td>number</td>
+              <td>Override Unix timestamp</td>
+            </tr>
+            <tr>
+              <td>model</td>
+              <td>string</td>
+              <td>Override model name in response</td>
+            </tr>
+            <tr>
+              <td>usage</td>
+              <td>object</td>
+              <td>
+                Override token counts:
+                <code>{ prompt_tokens, completion_tokens, total_tokens }</code>. Also accepts
+                Anthropic field names (<code>input_tokens</code>, <code>output_tokens</code>) and
+                Gemini field names (<code>promptTokenCount</code>,
+                <code>candidatesTokenCount</code>, <code>totalTokenCount</code>). OpenAI Chat
+                Completions includes usage in the response body; the Responses API uses a separate
+                <code>response.usage</code> object. When omitted, token counts are auto-computed
+                from content length
+              </td>
+            </tr>
+            <tr>
+              <td>finishReason</td>
+              <td>string</td>
+              <td>
+                Override finish reason (default: "stop" or "tool_calls"). Provider mappings:
+                <code>stop</code> &rarr; <code>end_turn</code> (Claude), <code>STOP</code> (Gemini);
+                <code>tool_calls</code> &rarr; <code>tool_use</code> (Claude),
+                <code>FUNCTION_CALL</code> (Gemini); <code>length</code> &rarr;
+                <code>max_tokens</code> (Claude), <code>MAX_TOKENS</code> (Gemini);
+                <code>content_filter</code> &rarr; <code>SAFETY</code> (Gemini),
+                <code>failed</code> (Responses API)
+              </td>
+            </tr>
+            <tr>
+              <td>role</td>
+              <td>string</td>
+              <td>Override message role (default: "assistant")</td>
+            </tr>
+            <tr>
+              <td>systemFingerprint</td>
+              <td>string</td>
+              <td>Add system_fingerprint to response</td>
+            </tr>
+          </tbody>
+        </table>
+
         <h2>Fixture Options</h2>
 
         <table class="endpoint-table">
@@ -199,7 +298,7 @@ <h2>Fixture Options</h2>
             <tr>
               <td>latency</td>
               <td>number</td>
-              <td>Milliseconds delay before first chunk</td>
+              <td>Milliseconds delay between SSE chunks (streaming)</td>
             </tr>
             <tr>
               <td>chunkSize</td>
@@ -220,7 +319,7 @@ <h2>Fixture Options</h2>
               <td>streamingProfile</td>
               <td>object</td>
               <td>
-                Streaming physics profile: <code>{ ttftMs, tps, jitter }</code>. See
+                Streaming physics profile: <code>{ ttft, tps, jitter }</code>. See
                 <a href="/streaming-physics">Streaming Physics</a>
               </td>
             </tr>
@@ -228,7 +327,8 @@ <h2>Fixture Options</h2>
               <td>chaos</td>
               <td>object</td>
               <td>
-                Per-fixture chaos config: <code>{ errorRate, latencyMs, ... }</code>. See
+                Per-fixture chaos config: <code>{ dropRate, malformedRate, disconnectRate }</code>.
+                See
                 <a href="/chaos-testing">Chaos Testing</a>
               </td>
             </tr>
@@ -261,8 +361,8 @@ <h3>Programmatically</h3>
 <span class="op">mock</span>.<span class="fn">onEmbedding</span>(<span class="str">"my text"</span>, { <span class="prop">embedding</span>: [<span class="num">0.1</span>, <span class="num">0.2</span>] });
 <span class="op">mock</span>.<span class="fn">onImage</span>(<span class="str">"sunset"</span>, { <span class="prop">image</span>: { <span class="prop">url</span>: <span class="str">"https://example.com/sunset.png"</span> } });
 <span class="op">mock</span>.<span class="fn">onSpeech</span>(<span class="str">"hello"</span>, { <span class="prop">audio</span>: <span class="str">"SGVsbG8="</span> });
-<span class="op">mock</span>.<span class="fn">onTranscription</span>(<span class="str">"audio.mp3"</span>, { <span class="prop">transcription</span>: { <span class="prop">text</span>: <span class="str">"Hello"</span> } });
-<span class="op">mock</span>.<span class="fn">onVideo</span>(<span class="str">"cats"</span>, { <span class="prop">video</span>: { <span class="prop">url</span>: <span class="str">"https://example.com/cats.mp4"</span> } });
+<span class="op">mock</span>.<span class="fn">onTranscription</span>({ <span class="prop">transcription</span>: { <span class="prop">text</span>: <span class="str">"Hello"</span> } });
+<span class="op">mock</span>.<span class="fn">onVideo</span>(<span class="str">"cats"</span>, { <span class="prop">video</span>: { <span class="prop">id</span>: <span class="str">"vid-1"</span>, <span class="prop">status</span>: <span class="str">"completed"</span>, <span class="prop">url</span>: <span class="str">"https://example.com/cats.mp4"</span> } });
 <span class="op">mock</span>.<span class="fn">onJsonOutput</span>(<span class="str">"data"</span>, { <span class="prop">key</span>: <span class="str">"value"</span> });
 <span class="op">mock</span>.<span class="fn">onToolResult</span>(<span class="str">"call_123"</span>, { <span class="prop">content</span>: <span class="str">"Done"</span> });
 
@@ -305,6 +405,102 @@ <h2>Routing Rules</h2>
             programmatic registration for predicate-based routing.
           </p>
         </div>
+
+        <h2>Provider Support Matrix</h2>
+        <table class="endpoint-table">
+          <thead>
+            <tr>
+              <th>Feature</th>
+              <th>OpenAI Chat</th>
+              <th>OpenAI Responses</th>
+              <th>Claude</th>
+              <th>Gemini</th>
+              <th>Bedrock</th>
+              <th>Azure</th>
+              <th>Ollama</th>
+              <th>Cohere</th>
+            </tr>
+          </thead>
+          <tbody>
+            <tr>
+              <td>Text</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+            </tr>
+            <tr>
+              <td>Tool Calls</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+            </tr>
+            <tr>
+              <td>Content + Tool Calls</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+            </tr>
+            <tr>
+              <td>Streaming</td>
+              <td>SSE</td>
+              <td>SSE</td>
+              <td>SSE</td>
+              <td>SSE</td>
+              <td>Binary EventStream</td>
+              <td>SSE</td>
+              <td>NDJSON</td>
+              <td>SSE</td>
+            </tr>
+            <tr>
+              <td>Reasoning</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+            </tr>
+            <tr>
+              <td>Web Searches</td>
+              <td>&mdash;</td>
+              <td>Yes</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+            </tr>
+            <tr>
+              <td>Response Overrides</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>Yes</td>
+              <td>&mdash;</td>
+              <td>Yes</td>
+              <td>&mdash;</td>
+              <td>&mdash;</td>
+            </tr>
+          </tbody>
+        </table>
       </main>
       <aside class="page-toc" id="page-toc"></aside>
     </div>
diff --git a/docs/gemini/index.html b/docs/gemini/index.html
index 672e803..5fc6368 100644
--- a/docs/gemini/index.html
+++ b/docs/gemini/index.html
@@ -122,7 +122,7 @@ <h2>Unit Test: Tool Call</h2>
           <pre><code><span class="kw">const</span> <span class="op">toolFixture</span> = {
   <span class="prop">match</span>: { <span class="prop">userMessage</span>: <span class="str">"weather"</span> },
   <span class="prop">response</span>: {
-    <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: <span class="str">'{"city":"NYC"}'</span> }]
+    <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: { <span class="prop">city</span>: <span class="str">"NYC"</span> } }]
   },
 };
 
diff --git a/docs/integrate-adk/index.html b/docs/integrate-adk/index.html
index 17ace3b..a785a12 100644
--- a/docs/integrate-adk/index.html
+++ b/docs/integrate-adk/index.html
@@ -138,7 +138,7 @@ <h2>Function Calling</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"get_weather"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"city\":\"San Francisco\",\"unit\":\"fahrenheit\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"city"</span>: <span class="str">"San Francisco"</span>, <span class="prop">"unit"</span>: <span class="str">"fahrenheit"</span> }
           }
         ]
       }
diff --git a/docs/integrate-crewai/index.html b/docs/integrate-crewai/index.html
index d6e3a13..5171b39 100644
--- a/docs/integrate-crewai/index.html
+++ b/docs/integrate-crewai/index.html
@@ -249,7 +249,7 @@ <h2>Tool Calls</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"web_search"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"query\": \"LLM testing frameworks 2025\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"query"</span>: <span class="str">"LLM testing frameworks 2025"</span> }
           }
         ]
       }
diff --git a/docs/integrate-langchain/index.html b/docs/integrate-langchain/index.html
index 35c96cc..bf5bdaf 100644
--- a/docs/integrate-langchain/index.html
+++ b/docs/integrate-langchain/index.html
@@ -121,7 +121,7 @@ <h2>Multi-Turn Agent Loops (LangGraph)</h2>
       <span class="prop">"match"</span>: { <span class="prop">"userMessage"</span>: <span class="str">"plan a trip"</span>, <span class="prop">"sequenceIndex"</span>: <span class="num">1</span> },
       <span class="prop">"response"</span>: {
         <span class="prop">"toolCalls"</span>: [
-          { <span class="prop">"name"</span>: <span class="str">"search_flights"</span>, <span class="prop">"arguments"</span>: <span class="str">"{\"origin\":\"SFO\",\"dest\":\"NRT\"}"</span> }
+          { <span class="prop">"name"</span>: <span class="str">"search_flights"</span>, <span class="prop">"arguments"</span>: { <span class="prop">"origin"</span>: <span class="str">"SFO"</span>, <span class="prop">"dest"</span>: <span class="str">"NRT"</span> } }
         ]
       }
     },
@@ -159,7 +159,7 @@ <h2>Tool Call Fixtures</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"get_weather"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"location\":\"San Francisco\",\"unit\":\"fahrenheit\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"location"</span>: <span class="str">"San Francisco"</span>, <span class="prop">"unit"</span>: <span class="str">"fahrenheit"</span> }
           }
         ]
       }
diff --git a/docs/integrate-mastra/index.html b/docs/integrate-mastra/index.html
index 936d8d6..3e42e43 100644
--- a/docs/integrate-mastra/index.html
+++ b/docs/integrate-mastra/index.html
@@ -126,7 +126,7 @@ <h2>Tool Call Workflows</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"search_flights"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"origin\":\"SFO\",\"destination\":\"NRT\",\"date\":\"2025-03-15\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"origin"</span>: <span class="str">"SFO"</span>, <span class="prop">"destination"</span>: <span class="str">"NRT"</span>, <span class="prop">"date"</span>: <span class="str">"2025-03-15"</span> }
           }
         ]
       }
@@ -137,7 +137,7 @@ <h2>Tool Call Workflows</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"search_hotels"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"city\":\"Tokyo\",\"checkIn\":\"2025-03-15\",\"checkOut\":\"2025-03-22\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"city"</span>: <span class="str">"Tokyo"</span>, <span class="prop">"checkIn"</span>: <span class="str">"2025-03-15"</span>, <span class="prop">"checkOut"</span>: <span class="str">"2025-03-22"</span> }
           }
         ]
       }
diff --git a/docs/integrate-pydanticai/index.html b/docs/integrate-pydanticai/index.html
index 0dd22ce..0a8a7e4 100644
--- a/docs/integrate-pydanticai/index.html
+++ b/docs/integrate-pydanticai/index.html
@@ -136,7 +136,7 @@ <h2>Structured Output</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"final_result"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"city"</span>: <span class="str">"SF"</span>, <span class="prop">"temp"</span>: <span class="num">72</span>, <span class="prop">"unit"</span>: <span class="str">"fahrenheit"</span> }
           }
         ]
       }
@@ -163,7 +163,7 @@ <h2>Structured Output</h2>
     {
       <span class="prop">"match"</span>: { <span class="prop">"responseFormat"</span>: <span class="str">"json_object"</span> },
       <span class="prop">"response"</span>: {
-        <span class="prop">"content"</span>: <span class="str">"{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"</span>
+        <span class="prop">"content"</span>: { <span class="prop">"city"</span>: <span class="str">"SF"</span>, <span class="prop">"temp"</span>: <span class="num">72</span>, <span class="prop">"unit"</span>: <span class="str">"fahrenheit"</span> }
       }
     }
   ]
@@ -218,7 +218,7 @@ <h2>Tool Calls</h2>
         <span class="prop">"toolCalls"</span>: [
           {
             <span class="prop">"name"</span>: <span class="str">"get_weather"</span>,
-            <span class="prop">"arguments"</span>: <span class="str">"{\"city\": \"San Francisco\"}"</span>
+            <span class="prop">"arguments"</span>: { <span class="prop">"city"</span>: <span class="str">"San Francisco"</span> }
           }
         ]
       }
diff --git a/docs/migrate-from-openai-responses/index.html b/docs/migrate-from-openai-responses/index.html
new file mode 100644
index 0000000..3322aa7
--- /dev/null
+++ b/docs/migrate-from-openai-responses/index.html
@@ -0,0 +1,437 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>From openai-responses — aimock</title>
+    <meta
+      name="description"
+      content="Migrate from openai-responses to aimock — replace httpx monkey-patching with fixture-driven mocking across 11 LLM providers."
+    />
+    <link rel="icon" type="image/svg+xml" href="../favicon.svg" />
+    <link rel="preconnect" href="https://fonts.googleapis.com" />
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
+    <link
+      href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:ital,wght@0,300;0,400;0,500;0,600;0,700;1,400&family=Instrument+Sans:wght@400;500;600;700&display=swap"
+      rel="stylesheet"
+    />
+    <link rel="stylesheet" href="../style.css" />
+    <style>
+      /* ─── Side-by-side comparison grid ─────────────────────────── */
+      .compare-grid {
+        display: grid;
+        grid-template-columns: 1fr 1fr;
+        gap: 1.5rem;
+        margin: 1.5rem 0 2rem;
+      }
+      .compare-grid .code-block {
+        margin-bottom: 0;
+      }
+      @media (max-width: 900px) {
+        .compare-grid {
+          grid-template-columns: 1fr;
+        }
+      }
+
+      /* ─── Feature cards ────────────────────────────────────────── */
+      .features-grid {
+        display: grid;
+        grid-template-columns: repeat(3, 1fr);
+        gap: 1.25rem;
+        margin-top: 1.5rem;
+      }
+      .features-grid > .feature-card:last-child:nth-child(3n + 1) {
+        grid-column: 2;
+      }
+      .feature-card {
+        padding: 2rem;
+        background: var(--bg-card);
+        border: 1px solid var(--border);
+        border-radius: 8px;
+        transition:
+          border-color 0.3s,
+          transform 0.3s,
+          box-shadow 0.3s;
+      }
+      .feature-card:hover {
+        border-color: var(--border-bright);
+        transform: translateY(-2px);
+        box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3);
+      }
+      .feature-icon {
+        width: 40px;
+        height: 40px;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+        border-radius: 8px;
+        margin-bottom: 1rem;
+        font-size: 1.25rem;
+        font-weight: 700;
+      }
+      .feature-icon.green {
+        background: rgba(0, 255, 136, 0.1);
+        border: 1px solid rgba(0, 255, 136, 0.2);
+      }
+      .feature-icon.blue {
+        background: rgba(68, 136, 255, 0.1);
+        border: 1px solid rgba(68, 136, 255, 0.2);
+      }
+      .feature-icon.purple {
+        background: rgba(170, 102, 255, 0.1);
+        border: 1px solid rgba(170, 102, 255, 0.2);
+      }
+      .feature-icon.amber {
+        background: rgba(255, 170, 0, 0.1);
+        border: 1px solid rgba(255, 170, 0, 0.2);
+      }
+      .feature-icon.red {
+        background: rgba(255, 68, 102, 0.1);
+        border: 1px solid rgba(255, 68, 102, 0.2);
+      }
+      .feature-card h3 {
+        font-size: 1.05rem;
+        font-weight: 600;
+        margin-bottom: 0.5rem;
+      }
+      .feature-card p {
+        font-size: 0.9rem;
+        color: var(--text-secondary);
+        line-height: 1.6;
+      }
+      @media (max-width: 900px) {
+        .features-grid {
+          grid-template-columns: 1fr;
+        }
+        .features-grid > .feature-card:last-child:nth-child(3n + 1) {
+          grid-column: auto;
+        }
+      }
+    </style>
+  </head>
+  <body>
+    <nav class="top-nav">
+      <div class="nav-inner">
+        <div style="display: flex; align-items: center; gap: 1rem">
+          <button
+            class="sidebar-toggle"
+            onclick="document.querySelector('.sidebar').classList.toggle('open')"
+            aria-label="Toggle sidebar"
+          >
+            &#9776;
+          </button>
+          <a href="/" class="nav-brand"> <span class="prompt">$</span> aimock </a>
+        </div>
+        <ul class="nav-links">
+          <li><a href="/">Home</a></li>
+          <li><a href="/docs" style="color: var(--accent)">Docs</a></li>
+          <li>
+            <a href="https://github.com/CopilotKit/aimock" class="gh-link" target="_blank">
+              <svg width="16" height="16" viewBox="0 0 16 16" fill="currentColor">
+                <path
+                  d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"
+                />
+              </svg>
+              GitHub
+            </a>
+          </li>
+        </ul>
+      </div>
+    </nav>
+
+    <div class="docs-layout">
+      <aside class="sidebar" id="sidebar"></aside>
+
+      <main class="docs-content">
+        <h1>Switching from openai-responses to aimock</h1>
+        <p class="lead">
+          openai-responses intercepts httpx calls to mock OpenAI responses inline. aimock runs a
+          real HTTP server with fixture files&mdash;no monkey-patching, works with any framework,
+          supports streaming.
+        </p>
+
+        <!-- ─── Before / After comparison ────────────────────────── -->
+        <h2>Before / After</h2>
+        <p>Side-by-side: mocking a chat completion with openai-responses vs. aimock.</p>
+
+        <div class="compare-grid">
+          <div class="code-block">
+            <div class="code-block-header">
+              openai-responses (~14 lines) <span class="lang-tag">py</span>
+            </div>
+            <pre><code><span class="kw">import</span> openai_responses
+<span class="kw">from</span> openai <span class="kw">import</span> OpenAI
+
+<span class="op">@openai_responses.mock</span>()
+<span class="kw">def</span> <span class="fn">test_chat</span>(openai_mock):
+    openai_mock.chat.completions.create.response = {
+        <span class="str">"choices"</span>: [{
+            <span class="str">"index"</span>: <span class="num">0</span>,
+            <span class="str">"message"</span>: {<span class="str">"role"</span>: <span class="str">"assistant"</span>, <span class="str">"content"</span>: <span class="str">"Hello!"</span>},
+            <span class="str">"finish_reason"</span>: <span class="str">"stop"</span>
+        }]
+    }
+    client = OpenAI()
+    result = client.chat.completions.create(
+        model=<span class="str">"gpt-4o"</span>, messages=[{<span class="str">"role"</span>: <span class="str">"user"</span>, <span class="str">"content"</span>: <span class="str">"hi"</span>}]
+    )
+    <span class="kw">assert</span> result.choices[<span class="num">0</span>].message.content == <span class="str">"Hello!"</span></code></pre>
+          </div>
+
+          <div class="code-block">
+            <div class="code-block-header">aimock (6 lines) <span class="lang-tag">py</span></div>
+            <pre><code><span class="kw">from</span> openai <span class="kw">import</span> OpenAI
+
+<span class="kw">def</span> <span class="fn">test_chat</span>(aimock):
+    aimock.on_message(<span class="str">"hi"</span>, content=<span class="str">"Hello!"</span>)
+    client = OpenAI(base_url=aimock.url + <span class="str">"/v1"</span>, api_key=<span class="str">"test"</span>)
+    result = client.chat.completions.create(
+        model=<span class="str">"gpt-4o"</span>, messages=[{<span class="str">"role"</span>: <span class="str">"user"</span>, <span class="str">"content"</span>: <span class="str">"hi"</span>}]
+    )
+    <span class="kw">assert</span> result.choices[<span class="num">0</span>].message.content == <span class="str">"Hello!"</span></code></pre>
+          </div>
+        </div>
+
+        <p>Or with fixture files:</p>
+
+        <div class="compare-grid">
+          <div class="code-block">
+            <div class="code-block-header">
+              fixtures/chat.json <span class="lang-tag">json</span>
+            </div>
+            <pre><code>{
+  <span class="prop">"fixtures"</span>: [
+    {
+      <span class="prop">"match"</span>: { <span class="prop">"userMessage"</span>: <span class="str">"hi"</span> },
+      <span class="prop">"response"</span>: { <span class="prop">"content"</span>: <span class="str">"Hello!"</span> }
+    }
+  ]
+}</code></pre>
+          </div>
+
+          <div class="code-block">
+            <div class="code-block-header">test_chat.py <span class="lang-tag">py</span></div>
+            <pre><code><span class="kw">def</span> <span class="fn">test_chat</span>(aimock):
+    aimock.load_fixtures(<span class="str">"./fixtures/chat.json"</span>)
+    client = OpenAI(base_url=aimock.url + <span class="str">"/v1"</span>, api_key=<span class="str">"test"</span>)
+    result = client.chat.completions.create(
+        model=<span class="str">"gpt-4o"</span>, messages=[{<span class="str">"role"</span>: <span class="str">"user"</span>, <span class="str">"content"</span>: <span class="str">"hi"</span>}]
+    )
+    <span class="kw">assert</span> result.choices[<span class="num">0</span>].message.content == <span class="str">"Hello!"</span></code></pre>
+          </div>
+        </div>
+
+        <!-- ─── Step-by-step migration ───────────────────────────── -->
+        <h2>Step-by-step migration</h2>
+
+        <ol>
+          <li>
+            <strong>Install aimock-pytest</strong> (replaces
+            <code>pip install openai-responses</code>)
+            <div class="code-block" style="margin-top: 0.75rem">
+              <pre><code>pip install aimock-pytest</code></pre>
+            </div>
+          </li>
+          <li>
+            <strong>Convert inline mock definitions</strong> to fixture files or
+            <code>on_message()</code> calls. Instead of constructing the full response envelope
+            manually, just specify <code>content</code> or <code>toolCalls</code>&mdash;aimock
+            generates the envelope automatically.
+          </li>
+          <li>
+            <strong>Replace the decorator</strong> &mdash;
+            <code>@openai_responses.mock()</code> becomes the <code>aimock</code> pytest fixture
+            parameter (auto-provided by aimock-pytest).
+          </li>
+          <li>
+            <strong>Point the client at aimock</strong> &mdash; replace <code>OpenAI()</code> with
+            <code>OpenAI(base_url=aimock.url + "/v1", api_key="test")</code>.
+          </li>
+        </ol>
+
+        <!-- ─── Feature mapping table ────────────────────────────── -->
+        <h2>Feature mapping</h2>
+
+        <table class="comparison-table">
+          <thead>
+            <tr>
+              <th>openai-responses</th>
+              <th>aimock</th>
+            </tr>
+          </thead>
+          <tbody>
+            <tr>
+              <td><code>@openai_responses.mock()</code> decorator</td>
+              <td><code>aimock</code> pytest fixture (auto-provided)</td>
+            </tr>
+            <tr>
+              <td><code>openai_mock.chat.completions.create.response = {...}</code></td>
+              <td><code>aimock.on_message("pattern", content="...")</code></td>
+            </tr>
+            <tr>
+              <td>Partial envelope (choices required, other fields auto-filled)</td>
+              <td>
+                Just specify <code>content</code> or <code>toolCalls</code>&mdash;envelope
+                auto-generated
+              </td>
+            </tr>
+            <tr>
+              <td><code>openai_mock.chat.completions.create.route.calls</code></td>
+              <td><code>aimock.journal</code></td>
+            </tr>
+            <tr>
+              <td>Python + OpenAI only</td>
+              <td>Python, TypeScript, any LLM provider</td>
+            </tr>
+            <tr>
+              <td>Manual SSE chunk construction (<code>streaming.EventStream</code>)</td>
+              <td>Automatic SSE streaming from fixture content</td>
+            </tr>
+            <tr>
+              <td>No fixture files</td>
+              <td>JSON fixture files with match patterns</td>
+            </tr>
+            <tr>
+              <td>httpx monkey-patching</td>
+              <td>Real HTTP server&mdash;works with any HTTP client</td>
+            </tr>
+            <tr>
+              <td style="color: var(--error)">&#10007; No record/replay</td>
+              <td><code>npx aimock --record</code> captures real API calls</td>
+            </tr>
+            <tr>
+              <td style="color: var(--error)">&#10007; No CI action</td>
+              <td><code>CopilotKit/aimock@v1</code> GitHub Action</td>
+            </tr>
+            <tr>
+              <td style="color: var(--error)">&#10007; No chaos testing</td>
+              <td>Error injection, mid-stream disconnects</td>
+            </tr>
+          </tbody>
+        </table>
+
+        <!-- ─── What you gain ────────────────────────────────────── -->
+        <h2>What you gain</h2>
+
+        <div class="features-grid">
+          <div class="feature-card">
+            <div class="feature-icon green">&#127760;</div>
+            <h3>Cross-process, cross-language</h3>
+            <p>
+              Your Python tests, Node.js frontend, Go microservices, and Playwright E2E tests all
+              hit the same mock server. No per-language patching.
+            </p>
+          </div>
+          <div class="feature-card">
+            <div class="feature-icon blue">&#9889;</div>
+            <h3>Built-in SSE for 10+ providers</h3>
+            <p>
+              OpenAI, Claude, Gemini, Bedrock, Azure, Vertex AI, Ollama, Cohere. No manual chunk
+              construction.
+            </p>
+          </div>
+          <div class="feature-card">
+            <div class="feature-icon purple">&#128268;</div>
+            <h3>WebSocket APIs</h3>
+            <p>
+              OpenAI Realtime, Responses WS, Gemini Live. openai-responses cannot intercept
+              WebSocket.
+            </p>
+          </div>
+          <div class="feature-card">
+            <div class="feature-icon amber">&#9210;</div>
+            <h3>Record &amp; Replay</h3>
+            <p>
+              Proxy real APIs, save as fixtures, replay forever.
+              <code>npx aimock --record --provider-openai https://api.openai.com</code>
+            </p>
+          </div>
+          <div class="feature-card">
+            <div class="feature-icon green">&#128193;</div>
+            <h3>Fixture files</h3>
+            <p>
+              JSON files on disk. Version-controlled. Shared across tests. No hand-crafted
+              envelopes.
+            </p>
+          </div>
+          <div class="feature-card">
+            <div class="feature-icon red">&#128165;</div>
+            <h3>Chaos testing</h3>
+            <p>
+              Inject latency, drop chunks, corrupt payloads mid-stream. Test your error handling
+              under realistic failure conditions.
+            </p>
+          </div>
+        </div>
+
+        <!-- ─── CI with GitHub Action ────────────────────────────── -->
+        <h2>CI with GitHub Action</h2>
+        <p>One step replaces all the httpx monkey-patching infrastructure in CI.</p>
+
+        <div class="code-block">
+          <div class="code-block-header">
+            .github/workflows/test.yml <span class="lang-tag">yaml</span>
+          </div>
+          <pre><code><span class="prop">name</span>: Tests
+<span class="prop">on</span>: [push, pull_request]
+<span class="prop">jobs</span>:
+  <span class="prop">test</span>:
+    <span class="prop">runs-on</span>: ubuntu-latest
+    <span class="prop">steps</span>:
+      - <span class="prop">uses</span>: actions/checkout@v4
+
+      - <span class="prop">uses</span>: actions/setup-python@v5
+        <span class="prop">with</span>:
+          <span class="prop">python-version</span>: <span class="str">"3.12"</span>
+
+      - <span class="prop">name</span>: Start aimock
+        <span class="prop">uses</span>: CopilotKit/aimock@v1
+        <span class="prop">with</span>:
+          <span class="prop">fixtures</span>: ./fixtures
+
+      - <span class="prop">run</span>: pip install -r requirements.txt
+      - <span class="prop">run</span>: pytest
+        <span class="prop">env</span>:
+          <span class="prop">OPENAI_BASE_URL</span>: <span class="str">http://127.0.0.1:4010/v1</span>
+          <span class="prop">OPENAI_API_KEY</span>: <span class="str">mock-key</span></code></pre>
+        </div>
+
+        <!-- ─── CLI / Docker quick start ─────────────────────────── -->
+        <h2>CLI / Docker quick start</h2>
+
+        <div class="cli-docker-tabs">
+          <div class="tab-cli">
+            <div class="code-block">
+              <div class="code-block-header">CLI <span class="lang-tag">sh</span></div>
+              <pre><code>npx aimock -p <span class="num">4010</span> -f ./fixtures</code></pre>
+            </div>
+          </div>
+          <div class="tab-docker">
+            <div class="code-block">
+              <div class="code-block-header">Docker <span class="lang-tag">sh</span></div>
+              <pre><code>docker run -d -p <span class="num">4010</span>:<span class="num">4010</span> \
+  -v <span class="str">$(pwd)/fixtures:/fixtures</span> \
+  ghcr.io/copilotkit/aimock:latest \
+  -p <span class="num">4010</span> -f /fixtures</code></pre>
+            </div>
+          </div>
+        </div>
+      </main>
+      <aside class="page-toc" id="page-toc"></aside>
+    </div>
+
+    <footer class="docs-footer">
+      <div class="footer-inner">
+        <div class="footer-left"><span>$</span> aimock &middot; MIT License</div>
+        <ul class="footer-links">
+          <li><a href="https://github.com/CopilotKit/aimock" target="_blank">GitHub</a></li>
+          <li>
+            <a href="https://www.npmjs.com/package/@copilotkit/aimock" target="_blank">npm</a>
+          </li>
+        </ul>
+      </div>
+    </footer>
+    <script src="../sidebar.js"></script>
+    <script src="../cli-tabs.js"></script>
+  </body>
+</html>
diff --git a/docs/ollama/index.html b/docs/ollama/index.html
index 83d954a..8776726 100644
--- a/docs/ollama/index.html
+++ b/docs/ollama/index.html
@@ -182,7 +182,7 @@ <h2>Tool Calls</h2>
       "match": { "userMessage": "weather" },
       "response": {
         "toolCalls": [
-          { "name": "get_weather", "arguments": "{\"city\":\"NYC\"}" }
+          { "name": "get_weather", "arguments": { "city": "NYC" } }
         ]
       }
     }
diff --git a/docs/responses-api/index.html b/docs/responses-api/index.html
index 2dcd9d6..a396308 100644
--- a/docs/responses-api/index.html
+++ b/docs/responses-api/index.html
@@ -117,7 +117,7 @@ <h2>Unit Test: Tool Call Response</h2>
   {
     <span class="prop">match</span>: { <span class="prop">userMessage</span>: <span class="str">"weather"</span> },
     <span class="prop">response</span>: {
-      <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: <span class="str">'{"city":"NYC"}'</span> }]
+      <span class="prop">toolCalls</span>: [{ <span class="prop">name</span>: <span class="str">"get_weather"</span>, <span class="prop">arguments</span>: { <span class="prop">city</span>: <span class="str">"NYC"</span> } }]
     }
   }
 ]);
diff --git a/docs/sidebar.js b/docs/sidebar.js
index 8d092bd..c79ca3c 100644
--- a/docs/sidebar.js
+++ b/docs/sidebar.js
@@ -90,6 +90,7 @@
         { label: "From mock-llm", href: "/migrate-from-mock-llm" },
         { label: "From piyook/llm-mock", href: "/migrate-from-piyook" },
         { label: "From Python Mocks", href: "/migrate-from-python-mocks" },
+        { label: "From openai-responses", href: "/migrate-from-openai-responses" },
         { label: "From Mokksy", href: "/migrate-from-mokksy" },
       ],
     },
diff --git a/docs/structured-output/index.html b/docs/structured-output/index.html
index ffdbe7d..a4d70a1 100644
--- a/docs/structured-output/index.html
+++ b/docs/structured-output/index.html
@@ -111,13 +111,22 @@ <h2>JSON Fixture</h2>
         <span class="key">"responseFormat"</span>: <span class="str">"json_object"</span>
       },
       <span class="key">"response"</span>: {
-        <span class="key">"content"</span>: <span class="str">"{\"answer\":42,\"items\":[\"a\",\"b\"]}"</span>
+        <span class="key">"content"</span>: { <span class="key">"answer"</span>: <span class="num">42</span>, <span class="key">"items"</span>: [<span class="str">"a"</span>, <span class="str">"b"</span>] }
       }
     }
   ]
 }</code></pre>
         </div>
 
+        <div class="info-box">
+          <p>
+            <strong>Auto-stringify:</strong> The <code>content</code> field accepts objects in
+            fixture files. The loader detects <code>typeof === "object"</code> and calls
+            <code>JSON.stringify()</code> automatically. The escaped-string form
+            (<code>"{\"answer\":42}"</code>) still works for backward compatibility.
+          </p>
+        </div>
+
         <h2>Match Behavior</h2>
         <table class="endpoint-table">
           <thead>
diff --git a/docs/transcription/index.html b/docs/transcription/index.html
index 0eb0653..cde8b37 100644
--- a/docs/transcription/index.html
+++ b/docs/transcription/index.html
@@ -96,7 +96,7 @@ <h2>Unit Test: Simple Transcription</h2>
 });
 
 <span class="fn">it</span>(<span class="str">"returns simple transcription text"</span>, <span class="kw">async</span> () <span class="kw">=&gt;</span> {
-  <span class="op">mock</span>.<span class="fn">onTranscription</span>(<span class="str">"audio.mp3"</span>, {
+  <span class="op">mock</span>.<span class="fn">onTranscription</span>({
     <span class="prop">transcription</span>: { <span class="prop">text</span>: <span class="str">"Hello, how are you today?"</span> },
   });
 
@@ -121,7 +121,7 @@ <h2>Unit Test: Verbose Response with Segments</h2>
             transcription-verbose.test.ts <span class="lang-tag">ts</span>
           </div>
           <pre><code><span class="fn">it</span>(<span class="str">"returns verbose transcription with words and segments"</span>, <span class="kw">async</span> () <span class="kw">=&gt;</span> {
-  <span class="op">mock</span>.<span class="fn">onTranscription</span>(<span class="str">"meeting.wav"</span>, {
+  <span class="op">mock</span>.<span class="fn">onTranscription</span>({
     <span class="prop">transcription</span>: {
       <span class="prop">text</span>: <span class="str">"Welcome to the meeting."</span>,
       <span class="prop">words</span>: [
diff --git a/docs/vertex-ai/index.html b/docs/vertex-ai/index.html
index 078ee98..0d46602 100644
--- a/docs/vertex-ai/index.html
+++ b/docs/vertex-ai/index.html
@@ -185,7 +185,7 @@ <h2>Fixture Examples</h2>
         "toolCalls": [
           {
             "name": "analyze_data",
-            "arguments": "{\"dataset\":\"sales_q4\"}"
+            "arguments": { "dataset": "sales_q4" }
           }
         ]
       }
diff --git a/fixtures/example-multi-turn.json b/fixtures/example-multi-turn.json
index 7976f60..abeb3d4 100644
--- a/fixtures/example-multi-turn.json
+++ b/fixtures/example-multi-turn.json
@@ -3,7 +3,7 @@
     {
       "match": { "userMessage": "change background to blue" },
       "response": {
-        "toolCalls": [{ "name": "change_background", "arguments": "{\"background\":\"blue\"}" }]
+        "toolCalls": [{ "name": "change_background", "arguments": { "background": "blue" } }]
       }
     },
     {
diff --git a/fixtures/example-tool-call.json b/fixtures/example-tool-call.json
index 9ad26ab..3c376d4 100644
--- a/fixtures/example-tool-call.json
+++ b/fixtures/example-tool-call.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"location\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "location": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/fixtures/examples/adk/gemini-agent.json b/fixtures/examples/adk/gemini-agent.json
index 929f125..5222d9f 100644
--- a/fixtures/examples/adk/gemini-agent.json
+++ b/fixtures/examples/adk/gemini-agent.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\":\"San Francisco\",\"unit\":\"fahrenheit\"}"
+            "arguments": { "city": "San Francisco", "unit": "fahrenheit" }
           }
         ]
       }
@@ -23,7 +23,7 @@
         "toolCalls": [
           {
             "name": "google_search",
-            "arguments": "{\"query\":\"latest AI news\"}"
+            "arguments": { "query": "latest AI news" }
           }
         ]
       }
@@ -34,11 +34,11 @@
         "toolCalls": [
           {
             "name": "get_weather",
-            "arguments": "{\"city\":\"New York\",\"unit\":\"celsius\"}"
+            "arguments": { "city": "New York", "unit": "celsius" }
           },
           {
             "name": "get_time",
-            "arguments": "{\"timezone\":\"America/New_York\"}"
+            "arguments": { "timezone": "America/New_York" }
           }
         ]
       }
diff --git a/fixtures/examples/langchain/agent-loop.json b/fixtures/examples/langchain/agent-loop.json
index 852e71f..8a4216d 100644
--- a/fixtures/examples/langchain/agent-loop.json
+++ b/fixtures/examples/langchain/agent-loop.json
@@ -12,7 +12,7 @@
         "toolCalls": [
           {
             "name": "search_flights",
-            "arguments": "{\"origin\":\"SFO\",\"dest\":\"NRT\"}"
+            "arguments": { "origin": "SFO", "dest": "NRT" }
           }
         ]
       }
diff --git a/fixtures/examples/mastra/agent-workflow.json b/fixtures/examples/mastra/agent-workflow.json
index 3ac6505..aa9a4d7 100644
--- a/fixtures/examples/mastra/agent-workflow.json
+++ b/fixtures/examples/mastra/agent-workflow.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "search_flights",
-            "arguments": "{\"origin\":\"SFO\",\"destination\":\"NRT\",\"date\":\"2025-03-15\"}"
+            "arguments": { "origin": "SFO", "destination": "NRT", "date": "2025-03-15" }
           }
         ]
       }
@@ -17,7 +17,7 @@
         "toolCalls": [
           {
             "name": "search_hotels",
-            "arguments": "{\"city\":\"Tokyo\",\"checkIn\":\"2025-03-15\",\"checkOut\":\"2025-03-22\"}"
+            "arguments": { "city": "Tokyo", "checkIn": "2025-03-15", "checkOut": "2025-03-22" }
           }
         ]
       }
diff --git a/fixtures/examples/pydanticai/structured-output.json b/fixtures/examples/pydanticai/structured-output.json
index 3cca151..c5c47d3 100644
--- a/fixtures/examples/pydanticai/structured-output.json
+++ b/fixtures/examples/pydanticai/structured-output.json
@@ -6,7 +6,7 @@
         "toolCalls": [
           {
             "name": "final_result",
-            "arguments": "{\"city\": \"SF\", \"temp\": 72, \"unit\": \"fahrenheit\"}"
+            "arguments": { "city": "SF", "temp": 72, "unit": "fahrenheit" }
           }
         ]
       }
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..1782bab
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,7134 @@
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+  "version": "1.14.0",
+  "lockfileVersion": 3,
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+      "name": "@copilotkit/aimock",
+      "version": "1.14.0",
+      "license": "MIT",
+      "bin": {
+        "aimock": "dist/aimock-cli.js",
+        "llmock": "dist/cli.js"
+      },
+      "devDependencies": {
+        "@anthropic-ai/sdk": "^0.78.0",
+        "@arethetypeswrong/cli": "^0.17.3",
+        "@commitlint/cli": "^19.8.1",
+        "@commitlint/config-conventional": "^19.8.0",
+        "@eslint/js": "^9.30.0",
+        "@google/generative-ai": "^0.24.0",
+        "@types/node": "^22.0.0",
+        "@vitest/coverage-v8": "^3.2.4",
+        "eslint": "^9.30.0",
+        "eslint-config-prettier": "^10.1.5",
+        "husky": "^9.1.7",
+        "lint-staged": "^16.3.2",
+        "openai": "^4.0.0",
+        "prettier": "^3.6.2",
+        "publint": "^0.3.12",
+        "tsdown": "^0.12.5",
+        "tsx": "^4.19.0",
+        "typescript": "^5.8.3",
+        "typescript-eslint": "^8.35.1",
+        "vitest": "^3.2.1"
+      },
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+}
diff --git a/package.json b/package.json
index 544bbfa..5ba4b46 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@copilotkit/aimock",
-  "version": "1.13.0",
+  "version": "1.14.0",
   "description": "Mock infrastructure for AI application testing — LLM APIs, image generation, text-to-speech, transcription, video generation, MCP tools, A2A agents, AG-UI event streams, vector databases, search, rerank, and moderation. One package, one port, zero dependencies.",
   "license": "MIT",
   "keywords": [
diff --git a/skills/write-fixtures/SKILL.md b/skills/write-fixtures/SKILL.md
index 066643c..c61f722 100644
--- a/skills/write-fixtures/SKILL.md
+++ b/skills/write-fixtures/SKILL.md
@@ -51,12 +51,18 @@ Multi-part content (e.g., `[{type: "text", text: "hello"}]`) is automatically ex
 ### Tool Calls
 
 ```typescript
+// Preferred: object form (auto-stringified by the fixture loader)
+{
+  toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }];
+}
+
+// Also accepted: JSON string form (backward compatible)
 {
   toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }];
 }
 ```
 
-**`arguments` MUST be a JSON string**, not an object. This is the #1 mistake.
+**Both object and string forms are accepted** for `arguments`. The fixture loader auto-stringifies objects via `JSON.stringify()`. Object form is preferred for readability.
 
 ### Embedding
 
@@ -106,7 +112,7 @@ Use `match: { endpoint: "image" }` to prevent cross-matching with chat fixtures.
 ### Video
 
 ```typescript
-{ video: { url: "https://example.com/video.mp4", duration: 10 } }
+{ video: { id: "vid-1", status: "completed", url: "https://example.com/video.mp4" } }
 ```
 
 Video uses async polling — `POST /v1/videos` creates, `GET /v1/videos/{id}` checks status.
@@ -148,7 +154,7 @@ The most common pattern. Fixture 1 triggers the tool call, fixture 2 handles the
 ```typescript
 // Step 1: User asks about weather → LLM calls tool
 mock.onMessage("weather", {
-  toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }],
+  toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }],
 });
 
 // Step 2: Tool result comes back → LLM responds with text
@@ -198,7 +204,7 @@ mock.addFixture({
 // First call returns tool call, second returns text
 mock.on(
   { userMessage: "status", sequenceIndex: 0 },
-  { toolCalls: [{ name: "check_status", arguments: "{}" }] },
+  { toolCalls: [{ name: "check_status", arguments: {} }] },
 );
 mock.on({ userMessage: "status", sequenceIndex: 1 }, { content: "All systems operational." });
 ```
@@ -233,7 +239,7 @@ mock.addFixture({
       return typeof sys === "string" && sys.includes("Flights found: false");
     },
   },
-  response: { toolCalls: [{ name: "search_flights", arguments: "{}" }] },
+  response: { toolCalls: [{ name: "search_flights", arguments: {} }] },
 });
 ```
 
@@ -307,6 +313,17 @@ mock.nextRequestError(429, { message: "Rate limited", type: "rate_limit_error" }
       "match": { "userMessage": "hello" },
       "response": { "content": "Hi!" }
     },
+    {
+      "match": { "userMessage": "weather" },
+      "response": {
+        "toolCalls": [
+          {
+            "name": "get_weather",
+            "arguments": { "city": "SF", "units": "fahrenheit" }
+          }
+        ]
+      }
+    },
     {
       "match": { "inputText": "search query" },
       "response": { "embedding": [0.1, 0.2, 0.3] }
@@ -319,6 +336,8 @@ mock.nextRequestError(429, { message: "Rate limited", type: "rate_limit_error" }
 }
 ```
 
+**JSON auto-stringify**: In JSON fixture files, `arguments` and `content` can be objects — the loader auto-stringifies them with `JSON.stringify()`. The escaped-string form (`"{\"city\":\"SF\"}"`) still works but objects are preferred for readability.
+
 JSON files cannot use `RegExp` or `predicate` — those are code-only features. `streamingProfile` is supported in JSON fixture files.
 
 Load with `mock.loadFixtureFile("./fixtures/greetings.json")` or `mock.loadFixtureDir("./fixtures/")`.
@@ -360,11 +379,64 @@ All providers share the same fixture pool — write fixtures once, they work for
 | `POST /v1/videos`                                                                        | OpenAI        | HTTP      |
 | `GET /v1/videos/{id}`                                                                    | OpenAI        | HTTP      |
 
+## Response Template Overrides
+
+Fixture responses can include optional override fields to control auto-generated envelope values. These are merged into the provider-specific response format (OpenAI, Claude, Gemini, Responses API).
+
+| Field               | Type   | Default                   | Description                                                                                                                                                                                                                                                                |
+| ------------------- | ------ | ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `id`                | string | auto-generated            | Override response ID (e.g., `chatcmpl-custom`)                                                                                                                                                                                                                             |
+| `created`           | number | `Date.now()/1000`         | Override Unix timestamp                                                                                                                                                                                                                                                    |
+| `model`             | string | echoes request            | Override model name in response                                                                                                                                                                                                                                            |
+| `usage`             | object | zeroed                    | Override token counts: `{ prompt_tokens, completion_tokens, total_tokens }`. OpenAI Chat includes usage in response body; Responses API uses `response.usage`. When omitted, auto-computed from content length                                                             |
+| `finishReason`      | string | `"stop"` / `"tool_calls"` | Override finish reason. Mappings: `stop` -> `end_turn` (Claude), `STOP` (Gemini); `tool_calls` -> `tool_use` (Claude), `FUNCTION_CALL` (Gemini); `length` -> `max_tokens` (Claude), `MAX_TOKENS` (Gemini); `content_filter` -> `SAFETY` (Gemini), `failed` (Responses API) |
+| `role`              | string | `"assistant"`             | Override message role                                                                                                                                                                                                                                                      |
+| `systemFingerprint` | string | (omitted)                 | Add `system_fingerprint` to response                                                                                                                                                                                                                                       |
+
+### Example
+
+```typescript
+mock.onMessage("hello", {
+  content: "Hi!",
+  model: "gpt-4-turbo-2024-04-09",
+  usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
+  systemFingerprint: "fp_abc123",
+});
+```
+
+### In JSON fixtures
+
+```json
+{
+  "match": { "userMessage": "hello" },
+  "response": {
+    "content": "Hi!",
+    "model": "gpt-4-turbo-2024-04-09",
+    "usage": { "prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15 },
+    "systemFingerprint": "fp_abc123"
+  }
+}
+```
+
+These fields map correctly across all provider formats — for example, `finishReason: "stop"` becomes `finish_reason: "stop"` in OpenAI, `stop_reason: "end_turn"` in Claude, and `finishReason: "STOP"` in Gemini.
+
+## Provider Support Matrix
+
+| Feature              | OpenAI Chat | OpenAI Responses | Claude | Gemini | Bedrock | Azure | Ollama | Cohere |
+| -------------------- | ----------- | ---------------- | ------ | ------ | ------- | ----- | ------ | ------ |
+| Text                 | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Tool Calls           | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Content + Tool Calls | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | Yes    | Yes    |
+| Streaming            | SSE         | SSE              | SSE    | SSE    | Binary  | SSE   | NDJSON | SSE    |
+| Reasoning            | Yes         | Yes              | Yes    | Yes    | Yes     | Yes   | --     | --     |
+| Web Searches         | --          | Yes              | --     | --     | --      | --    | --     | --     |
+| Response Overrides   | Yes         | Yes              | Yes    | Yes    | --      | Yes   | --     | --     |
+
 ## Critical Gotchas
 
 1. **Order matters** — first match wins. Specific fixtures before general ones. Use `prependFixture()` to force priority.
 
-2. **`arguments` must be a JSON string** — `"arguments": "{\"key\":\"value\"}"` not `"arguments": {"key":"value"}`. The type system enforces this but JSON fixtures can get it wrong silently.
+2. **`arguments` accepts both objects and strings** — `"arguments": {"key":"value"}` (preferred, auto-stringified) or `"arguments": "{\"key\":\"value\"}"` (legacy). The same applies to `content` fields that contain JSON. The fixture loader detects `typeof === "object"` and calls `JSON.stringify()` automatically.
 
 3. **Latency is per-chunk, not total** — `latency: 100` means 100ms between each SSE chunk, not 100ms total response time. Similarly, `truncateAfterChunks` and `disconnectAfterMs` are for simulating stream interruptions (added in v1.3.0).
 
@@ -611,7 +683,7 @@ const mock = await LLMock.create({ port: 0 }); // creates + starts in one call
 | `onModerate(pattern, result)`           | Match moderation requests by input          |
 | `onImage(pattern, response)`            | Match image generation by prompt            |
 | `onSpeech(pattern, response)`           | Match TTS by input text                     |
-| `onTranscription(match, response)`      | Match audio transcription                   |
+| `onTranscription(response)`             | Match audio transcription                   |
 | `onVideo(pattern, response)`            | Match video generation by prompt            |
 | `mount(path, handler)`                  | Mount a Mountable (VectorMock, etc.)        |
 | `url` / `baseUrl`                       | Server URL (throws if not started)          |
diff --git a/src/__tests__/content-with-toolcalls.test.ts b/src/__tests__/content-with-toolcalls.test.ts
index 54dc897..b134d6b 100644
--- a/src/__tests__/content-with-toolcalls.test.ts
+++ b/src/__tests__/content-with-toolcalls.test.ts
@@ -27,14 +27,15 @@ describe("isContentWithToolCallsResponse", () => {
     expect(isContentWithToolCallsResponse(r)).toBe(false);
   });
 
-  it("existing guards still work for combined response", () => {
+  it("existing guards are mutually exclusive with combined response", () => {
     const r = {
       content: "Hello",
       toolCalls: [{ name: "get_weather", arguments: "{}" }],
     };
-    // Both existing guards would match — that's why we check combined first
-    expect(isTextResponse(r)).toBe(true);
-    expect(isToolCallResponse(r)).toBe(true);
+    // Guards are mutually exclusive — combined response only matches isContentWithToolCallsResponse
+    expect(isTextResponse(r)).toBe(false);
+    expect(isToolCallResponse(r)).toBe(false);
+    expect(isContentWithToolCallsResponse(r)).toBe(true);
   });
 });
 
@@ -426,6 +427,139 @@ describe("Gemini — content + toolCalls", () => {
   });
 });
 
+describe("Gemini — multi-tool-call CWTC", () => {
+  let mock: LLMock | null = null;
+
+  afterEach(async () => {
+    if (mock) {
+      await mock.stop();
+      mock = null;
+    }
+  });
+
+  it("Gemini non-streaming multi-tool-call CWTC", async () => {
+    mock = new LLMock({ port: 0 });
+    mock.addFixture({
+      match: { userMessage: "test gemini multi-tc" },
+      response: {
+        content: "Sure, let me check.",
+        toolCalls: [
+          { name: "get_weather", arguments: '{"city":"NYC"}' },
+          { name: "get_time", arguments: '{"tz":"EST"}' },
+        ],
+      },
+    });
+    await mock.start();
+
+    const res = await fetch(`${mock.url}/v1beta/models/gemini-2.0-flash:generateContent`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({
+        contents: [{ role: "user", parts: [{ text: "test gemini multi-tc" }] }],
+      }),
+    });
+
+    const body = await res.json();
+    const parts = body.candidates[0].content.parts;
+    const fcParts = parts.filter((p: { functionCall?: unknown }) => p.functionCall !== undefined);
+    expect(fcParts).toHaveLength(2);
+    expect(fcParts[0].functionCall.name).toBe("get_weather");
+    expect(fcParts[1].functionCall.name).toBe("get_time");
+  });
+});
+
+describe("Anthropic — multi-tool-call CWTC streaming", () => {
+  let mock: LLMock | null = null;
+
+  afterEach(async () => {
+    if (mock) {
+      await mock.stop();
+      mock = null;
+    }
+  });
+
+  it("Claude streaming multi-tool-call CWTC", async () => {
+    mock = new LLMock({ port: 0 });
+    mock.addFixture({
+      match: { userMessage: "test claude multi-tc" },
+      response: {
+        content: "Checking.",
+        toolCalls: [
+          { name: "get_weather", arguments: '{"city":"NYC"}' },
+          { name: "get_time", arguments: '{"tz":"EST"}' },
+        ],
+      },
+    });
+    await mock.start();
+
+    const res = await fetch(`${mock.url}/v1/messages`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        "x-api-key": "test-key",
+        "anthropic-version": "2023-06-01",
+      },
+      body: JSON.stringify({
+        model: "claude-sonnet-4-20250514",
+        max_tokens: 1024,
+        messages: [{ role: "user", content: "test claude multi-tc" }],
+        stream: true,
+      }),
+    });
+
+    const events = parseAnthropicSSEEvents(await res.text());
+    const toolBlockStarts = events.filter(
+      (e) =>
+        e.type === "content_block_start" &&
+        (e.content_block as { type: string })?.type === "tool_use",
+    );
+    expect(toolBlockStarts).toHaveLength(2);
+  });
+});
+
+describe("OpenAI — multi-tool-call CWTC streaming indices", () => {
+  let mock: LLMock | null = null;
+
+  afterEach(async () => {
+    if (mock) {
+      await mock.stop();
+      mock = null;
+    }
+  });
+
+  it("streams content then multiple tool calls with correct indices", async () => {
+    mock = new LLMock({ port: 0 });
+    mock.addFixture({
+      match: { userMessage: "test multi-tc indices" },
+      response: {
+        content: "Here.",
+        toolCalls: [
+          { name: "fn_a", arguments: '{"a":1}' },
+          { name: "fn_b", arguments: '{"b":2}' },
+        ],
+      },
+    });
+    await mock.start();
+
+    const res = await fetch(`${mock.url}/v1/chat/completions`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json", Authorization: "Bearer test" },
+      body: JSON.stringify({
+        model: "gpt-4o",
+        messages: [{ role: "user", content: "test multi-tc indices" }],
+        stream: true,
+      }),
+    });
+
+    const chunks = parseSSEChunks(await res.text());
+    const toolChunks = chunks.filter((c) => c.choices?.[0]?.delta?.tool_calls);
+    const indices = toolChunks.map((c) => c.choices[0].delta.tool_calls![0].index);
+    // Should have both index 0 and index 1
+    expect(indices).toContain(0);
+    expect(indices).toContain(1);
+  });
+});
+
 import {
   collapseOpenAISSE,
   collapseAnthropicSSE,
diff --git a/src/__tests__/fixture-loader.test.ts b/src/__tests__/fixture-loader.test.ts
index 35cfd6b..ee82303 100644
--- a/src/__tests__/fixture-loader.test.ts
+++ b/src/__tests__/fixture-loader.test.ts
@@ -2,7 +2,13 @@ import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
 import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from "node:fs";
 import { tmpdir } from "node:os";
 import { join } from "node:path";
-import { loadFixtureFile, loadFixturesFromDir } from "../fixture-loader.js";
+import { entryToFixture, loadFixtureFile, loadFixturesFromDir } from "../fixture-loader.js";
+import type {
+  FixtureFileEntry,
+  ToolCallResponse,
+  TextResponse,
+  ContentWithToolCallsResponse,
+} from "../types.js";
 
 /* ------------------------------------------------------------------ *
  * vi.mock for node:fs — defaults to the real implementation so that  *
@@ -944,4 +950,507 @@ describe("validateFixtures", () => {
       ),
     ).toBe(true);
   });
+
+  // --- ResponseOverrides validation ---
+
+  it("error: created as a string", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", created: "2024-01-01" as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "created"')),
+    ).toBe(true);
+  });
+
+  it("error: usage as a string", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", usage: "bad" as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "usage"')),
+    ).toBe(true);
+  });
+
+  it("error: usage with non-numeric field", () => {
+    const fixtures = [
+      makeFixture({
+        response: { content: "hi", usage: { prompt_tokens: "ten" as never } },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some(
+        (r) => r.severity === "error" && r.message.includes('override "usage.prompt_tokens"'),
+      ),
+    ).toBe(true);
+  });
+
+  it("error: finishReason as a number", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", finishReason: 42 as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "finishReason"')),
+    ).toBe(true);
+  });
+
+  it("rejects non-string id", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", id: 123 as never } })];
+    const results = validateFixtures(fixtures);
+    expect(results.some((r) => r.severity === "error" && r.message.includes('override "id"'))).toBe(
+      true,
+    );
+  });
+
+  it("rejects non-string model", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", model: true as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "model"')),
+    ).toBe(true);
+  });
+
+  it("rejects non-string role", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", role: 42 as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "role"')),
+    ).toBe(true);
+  });
+
+  it("rejects non-string systemFingerprint", () => {
+    const fixtures = [
+      makeFixture({ response: { content: "hi", systemFingerprint: null as never } }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some(
+        (r) => r.severity === "error" && r.message.includes('override "systemFingerprint"'),
+      ),
+    ).toBe(true);
+  });
+
+  it("rejects negative created", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", created: -1 } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "created"')),
+    ).toBe(true);
+  });
+
+  it("rejects usage as array", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", usage: [1, 2, 3] as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "usage"')),
+    ).toBe(true);
+  });
+
+  it("rejects usage as null", () => {
+    const fixtures = [makeFixture({ response: { content: "hi", usage: null as never } })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes('override "usage"')),
+    ).toBe(true);
+  });
+
+  it("warns about unknown fields on response", () => {
+    // A response with only a typo field like "finishreason" (no content/toolCalls/error)
+    // is not recognized as any valid type
+    const fixtures = [makeFixture({ response: { finishreason: "stop" } as never })];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes("not a recognized type")),
+    ).toBe(true);
+  });
+
+  it("warns about unknown fields on ContentWithToolCallsResponse", () => {
+    // A CWTC with an extra typo field still validates the known parts
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+          finishreason: "stop",
+        } as never,
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    // No error — the CWTC is valid; extra fields are silently ignored
+    const errors = results.filter((r) => r.severity === "error");
+    expect(errors).toHaveLength(0);
+  });
+
+  it("warns on empty content in ContentWithToolCallsResponse", () => {
+    // CWTC with empty content triggers the TextResponse empty-content error
+    // since isTextResponse also matches
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "",
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+        },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(results.some((r) => r.severity === "error" && r.message.includes("empty"))).toBe(true);
+  });
+
+  it("rejects empty toolCalls in ContentWithToolCallsResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [],
+        },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(results.some((r) => r.message.includes("empty"))).toBe(true);
+  });
+
+  it("rejects missing tool name in ContentWithToolCallsResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [{ name: "", arguments: "{}" }],
+        },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(results.some((r) => r.severity === "error" && r.message.includes("name is empty"))).toBe(
+      true,
+    );
+  });
+
+  it("rejects invalid JSON arguments in ContentWithToolCallsResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [{ name: "fn", arguments: "not json" }],
+        },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some((r) => r.severity === "error" && r.message.includes("not valid JSON")),
+    ).toBe(true);
+  });
+
+  it("rejects non-string reasoning in ContentWithToolCallsResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+          reasoning: 123,
+        } as never,
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some(
+        (r) => r.severity === "error" && r.message.includes("reasoning must be a string"),
+      ),
+    ).toBe(true);
+  });
+
+  it("rejects non-array webSearches in ContentWithToolCallsResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+          webSearches: "not-array",
+        } as never,
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(
+      results.some(
+        (r) => r.severity === "error" && r.message.includes("webSearches must be an array"),
+      ),
+    ).toBe(true);
+  });
+
+  it("warns about unknown usage fields", () => {
+    // Usage with a typo field — all fields are validated as numbers, and promt_tokens
+    // is treated as a number field (just an unfamiliar name, still accepted if numeric)
+    const fixtures = [
+      makeFixture({
+        response: { content: "hi", usage: { promt_tokens: 10 } as never },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    // No error — unknown numeric fields in usage are silently accepted
+    const usageErrors = results.filter(
+      (r) => r.severity === "error" && r.message.includes("promt_tokens"),
+    );
+    expect(usageErrors).toHaveLength(0);
+  });
+
+  it("rejects non-string id on ToolCallResponse", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+          id: 123,
+        } as never,
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    expect(results.some((r) => r.severity === "error" && r.message.includes('override "id"'))).toBe(
+      true,
+    );
+  });
+
+  it("warns about unknown fields on ToolCallResponse", () => {
+    // ToolCallResponse with extra typo field — silently ignored since toolCalls is valid
+    const fixtures = [
+      makeFixture({
+        response: {
+          toolCalls: [{ name: "fn", arguments: "{}" }],
+          finishreason: "tool_calls",
+        } as never,
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    // No error — the ToolCallResponse is valid; extra fields are silently ignored
+    const errors = results.filter((r) => r.severity === "error");
+    expect(errors).toHaveLength(0);
+  });
+
+  it("accepts valid overrides without errors", () => {
+    const fixtures = [
+      makeFixture({
+        response: {
+          content: "hi",
+          id: "chatcmpl-123",
+          created: 1700000000,
+          model: "gpt-4",
+          finishReason: "stop",
+          role: "assistant",
+          systemFingerprint: "fp_abc",
+          usage: { prompt_tokens: 10, completion_tokens: 20, total_tokens: 30 },
+        },
+      }),
+    ];
+    const results = validateFixtures(fixtures);
+    // No override-related errors
+    const overrideErrors = results.filter(
+      (r) => r.severity === "error" && r.message.includes("override"),
+    );
+    expect(overrideErrors).toHaveLength(0);
+  });
+});
+
+/* ------------------------------------------------------------------ *
+ *  Auto-stringify: object arguments / content in fixture files        *
+ * ------------------------------------------------------------------ */
+
+describe("auto-stringify JSON objects in fixture entries", () => {
+  it("stringifies object arguments in toolCalls", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [{ name: "get_weather", arguments: { city: "SF", temp: 72 } }],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tc = (fixture.response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBe('{"city":"SF","temp":72}');
+  });
+
+  it("leaves string arguments unchanged (backward compat)", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [{ name: "get_weather", arguments: '{"city":"SF"}' }],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tc = (fixture.response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBe('{"city":"SF"}');
+  });
+
+  it("stringifies object content (structured output)", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        content: { result: "success", score: 42 },
+      },
+    };
+    const fixture = entryToFixture(entry);
+    expect((fixture.response as TextResponse).content).toBe('{"result":"success","score":42}');
+  });
+
+  it("leaves string content unchanged", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: { content: "Hello, world!" },
+    };
+    const fixture = entryToFixture(entry);
+    expect((fixture.response as TextResponse).content).toBe("Hello, world!");
+  });
+
+  it("stringifies nested objects in arguments", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [
+          {
+            name: "complex_call",
+            arguments: { outer: { inner: [1, 2, 3] }, flag: true },
+          },
+        ],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tc = (fixture.response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBe('{"outer":{"inner":[1,2,3]},"flag":true}');
+  });
+
+  it("handles content + toolCalls response with both object fields", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        content: { summary: "done" },
+        toolCalls: [{ name: "save", arguments: { id: 1 } }],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const resp = fixture.response as ContentWithToolCallsResponse;
+    expect(resp.content).toBe('{"summary":"done"}');
+    expect(resp.toolCalls[0].arguments).toBe('{"id":1}');
+  });
+
+  it("preserves ResponseOverrides fields through normalization", () => {
+    const entry = {
+      match: { userMessage: "test" },
+      response: {
+        content: { key: "value" },
+        id: "custom-id",
+        model: "custom-model",
+        created: 1234567890,
+        finishReason: "stop",
+        role: "assistant",
+        systemFingerprint: "fp-123",
+        usage: { prompt_tokens: 10 },
+      },
+    };
+    const fixture = entryToFixture(entry as unknown as FixtureFileEntry);
+    const r = fixture.response as Record<string, unknown>;
+    expect(r.content).toBe('{"key":"value"}'); // stringified
+    expect(r.id).toBe("custom-id");
+    expect(r.model).toBe("custom-model");
+    expect(r.created).toBe(1234567890);
+    expect(r.finishReason).toBe("stop");
+    expect(r.role).toBe("assistant");
+    expect(r.systemFingerprint).toBe("fp-123");
+    expect(r.usage).toEqual({ prompt_tokens: 10 });
+  });
+
+  it("stringifies array content", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: { content: [1, 2, 3] as never },
+    };
+    const fixture = entryToFixture(entry);
+    expect((fixture.response as TextResponse).content).toBe("[1,2,3]");
+  });
+
+  it("passes null content through unchanged", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: { content: null as never },
+    };
+    const fixture = entryToFixture(entry);
+    expect((fixture.response as TextResponse).content).toBeNull();
+  });
+
+  it("stringifies array arguments in toolCalls", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [{ name: "fn", arguments: [1, 2] as never }],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tc = (fixture.response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBe("[1,2]");
+  });
+
+  it("null arguments pass through unchanged", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [{ name: "fn", arguments: null as never }],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tc = (fixture.response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBeNull();
+  });
+
+  it("mixed string/object arguments", () => {
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [
+          { name: "fn1", arguments: '{"a":1}' },
+          { name: "fn2", arguments: { b: 2 } },
+        ],
+      },
+    };
+    const fixture = entryToFixture(entry);
+    const tcs = (fixture.response as ToolCallResponse).toolCalls;
+    expect(tcs[0].arguments).toBe('{"a":1}');
+    expect(tcs[1].arguments).toBe('{"b":2}');
+  });
+
+  it("does not mutate the original entry object", () => {
+    const args = { city: "SF" };
+    const entry: FixtureFileEntry = {
+      match: { userMessage: "test" },
+      response: {
+        toolCalls: [{ name: "get_weather", arguments: args }],
+      },
+    };
+    entryToFixture(entry);
+    // Original object should be untouched
+    expect(typeof args).toBe("object");
+    expect(args.city).toBe("SF");
+  });
+
+  it("end-to-end: JSON round-trip through serialize + parse + entryToFixture", () => {
+    // Simulate the full JSON file round-trip: author writes JSON with object
+    // arguments, it gets serialized to disk, parsed back, and loaded.
+    const fixtureData = {
+      fixtures: [
+        {
+          match: { userMessage: "weather" },
+          response: {
+            toolCalls: [{ name: "get_weather", arguments: { city: "SF", temp: 72 } }],
+          },
+        },
+        {
+          match: { userMessage: "structured" },
+          response: {
+            content: { answer: 42, nested: { key: "val" } },
+          },
+        },
+      ],
+    };
+    // Serialize -> parse (same as writing JSON to disk and reading it back)
+    const parsed = JSON.parse(JSON.stringify(fixtureData)) as { fixtures: FixtureFileEntry[] };
+    const fixtures = parsed.fixtures.map(entryToFixture);
+
+    expect(fixtures).toHaveLength(2);
+
+    const tc = (fixtures[0].response as ToolCallResponse).toolCalls[0];
+    expect(tc.arguments).toBe('{"city":"SF","temp":72}');
+
+    expect((fixtures[1].response as TextResponse).content).toBe(
+      '{"answer":42,"nested":{"key":"val"}}',
+    );
+  });
 });
diff --git a/src/__tests__/llmock.test.ts b/src/__tests__/llmock.test.ts
index 1f14188..37a7132 100644
--- a/src/__tests__/llmock.test.ts
+++ b/src/__tests__/llmock.test.ts
@@ -223,6 +223,21 @@ describe("LLMock", () => {
       expect(res.data).toContain("on response");
     });
 
+    it("on() shorthand passes id and model overrides", async () => {
+      mock = new LLMock();
+      mock.on(
+        { userMessage: "override-test" },
+        { content: "overridden", id: "custom-id-123", model: "custom-model-456" },
+      );
+
+      await mock.start();
+      const res = await post(mock.url, chatBody("override-test", false));
+      expect(res.status).toBe(200);
+      const json = JSON.parse(res.data);
+      expect(json.id).toBe("custom-id-123");
+      expect(json.model).toBe("custom-model-456");
+    });
+
     it("on() shorthand passes latency and chunkSize opts", async () => {
       mock = new LLMock();
       mock.on({ userMessage: "opts-test" }, { content: "response" }, { latency: 0, chunkSize: 5 });
@@ -586,6 +601,67 @@ describe("LLMock", () => {
     });
   });
 
+  describe("programmatic API auto-stringification", () => {
+    it("on() auto-stringifies object arguments in toolCalls", async () => {
+      mock = new LLMock();
+      mock.on(
+        { userMessage: "weather" },
+        {
+          toolCalls: [{ name: "get_weather", arguments: { city: "SF" } }],
+        },
+      );
+      await mock.start();
+
+      const res = await post(mock.url, {
+        model: "gpt-4",
+        messages: [{ role: "user", content: "weather" }],
+        stream: false,
+      });
+
+      expect(res.status).toBe(200);
+      const json = JSON.parse(res.data);
+      const args = json.choices[0].message.tool_calls[0].function.arguments;
+      expect(typeof args).toBe("string");
+      expect(JSON.parse(args)).toEqual({ city: "SF" });
+    });
+
+    it("onMessage() auto-stringifies object content", async () => {
+      mock = new LLMock();
+      mock.onMessage("structured", { content: { answer: 42, nested: { key: "val" } } });
+      await mock.start();
+
+      const res = await post(mock.url, chatBody("structured", false));
+
+      expect(res.status).toBe(200);
+      const json = JSON.parse(res.data);
+      const content = json.choices[0].message.content;
+      expect(typeof content).toBe("string");
+      expect(JSON.parse(content)).toEqual({ answer: 42, nested: { key: "val" } });
+    });
+
+    it("on() preserves string arguments without double-stringifying", async () => {
+      mock = new LLMock();
+      mock.on(
+        { userMessage: "already-string" },
+        {
+          toolCalls: [{ name: "fn", arguments: JSON.stringify({ key: "val" }) }],
+        },
+      );
+      await mock.start();
+
+      const res = await post(mock.url, {
+        model: "gpt-4",
+        messages: [{ role: "user", content: "already-string" }],
+        stream: false,
+      });
+
+      expect(res.status).toBe(200);
+      const json = JSON.parse(res.data);
+      const args = json.choices[0].message.tool_calls[0].function.arguments;
+      expect(JSON.parse(args)).toEqual({ key: "val" });
+    });
+  });
+
   describe("onJsonOutput convenience", () => {
     it("registers a fixture with responseFormat json_object and stringified content", () => {
       mock = new LLMock();
diff --git a/src/__tests__/response-overrides.test.ts b/src/__tests__/response-overrides.test.ts
new file mode 100644
index 0000000..8e59aee
--- /dev/null
+++ b/src/__tests__/response-overrides.test.ts
@@ -0,0 +1,1377 @@
+import { describe, it, expect, afterEach } from "vitest";
+import http from "node:http";
+import { createServer, type ServerInstance } from "../server.js";
+import type {
+  Fixture,
+  SSEChunk,
+  TextResponse,
+  ToolCallResponse,
+  ContentWithToolCallsResponse,
+} from "../types.js";
+
+// ---------------------------------------------------------------------------
+// Helpers
+// ---------------------------------------------------------------------------
+
+function parseSSEResponse(body: string): SSEChunk[] {
+  return body
+    .split("\n\n")
+    .filter((line) => line.startsWith("data: ") && !line.includes("[DONE]"))
+    .map((line) => JSON.parse(line.slice(6)));
+}
+
+function parseClaudeSSE(body: string): object[] {
+  return body
+    .split("\n\n")
+    .filter((line) => line.includes("data: "))
+    .map((line) => {
+      const dataLine = line.split("\n").find((l) => l.startsWith("data: "));
+      return JSON.parse(dataLine!.slice(6));
+    });
+}
+
+function parseGeminiSSE(body: string): object[] {
+  return body
+    .split("\n\n")
+    .filter((line) => line.startsWith("data: "))
+    .map((line) => JSON.parse(line.slice(6)));
+}
+
+function parseResponsesSSE(body: string): object[] {
+  return body
+    .split("\n\n")
+    .filter((line) => line.includes("data: "))
+    .map((line) => {
+      const dataLine = line.split("\n").find((l) => l.startsWith("data: "));
+      return JSON.parse(dataLine!.slice(6));
+    });
+}
+
+async function httpPost(url: string, body: object): Promise<{ status: number; body: string }> {
+  return new Promise((resolve, reject) => {
+    const req = http.request(
+      url,
+      {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+      },
+      (res) => {
+        const chunks: Buffer[] = [];
+        res.on("data", (c) => chunks.push(c));
+        res.on("end", () =>
+          resolve({ status: res.statusCode!, body: Buffer.concat(chunks).toString() }),
+        );
+      },
+    );
+    req.on("error", reject);
+    req.write(JSON.stringify(body));
+    req.end();
+  });
+}
+
+// ---------------------------------------------------------------------------
+// Tests
+// ---------------------------------------------------------------------------
+
+let instance: ServerInstance | null = null;
+
+afterEach(async () => {
+  if (instance) {
+    await new Promise<void>((resolve) => instance!.server.close(() => resolve()));
+    instance = null;
+  }
+});
+
+describe("response overrides: OpenAI Chat Completions (non-streaming)", () => {
+  it("applies id override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", id: "chatcmpl-test123" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toBe("chatcmpl-test123");
+  });
+
+  it("applies created override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", created: 1700000000 },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.created).toBe(1700000000);
+  });
+
+  it("applies model override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", model: "gpt-4o-2024-08-06" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.model).toBe("gpt-4o-2024-08-06");
+  });
+
+  it("applies usage override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.prompt_tokens).toBe(10);
+    expect(json.usage.completion_tokens).toBe(5);
+    expect(json.usage.total_tokens).toBe(15);
+  });
+
+  it("applies finishReason override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].finish_reason).toBe("length");
+  });
+
+  it("applies role override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", role: "system" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].message.role).toBe("system");
+  });
+
+  it("applies systemFingerprint override", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", systemFingerprint: "fp_abc123" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.system_fingerprint).toBe("fp_abc123");
+  });
+
+  it("partial usage merge — only prompt_tokens set", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", usage: { prompt_tokens: 42 } },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.prompt_tokens).toBe(42);
+    expect(json.usage.completion_tokens).toBe(0);
+    expect(json.usage.total_tokens).toBe(42);
+  });
+
+  it("default behavior unchanged when no overrides specified", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toMatch(/^chatcmpl-/);
+    expect(json.model).toBe("gpt-4");
+    expect(json.choices[0].message.role).toBe("assistant");
+    expect(json.choices[0].finish_reason).toBe("stop");
+    expect(json.usage.prompt_tokens).toBe(0);
+    expect(json.system_fingerprint).toBeUndefined();
+  });
+});
+
+describe("response overrides: OpenAI Chat Completions (streaming)", () => {
+  it("overrides id/created/model on every chunk", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          id: "chatcmpl-stream-test",
+          created: 1700000000,
+          model: "gpt-4o-override",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    expect(chunks.length).toBeGreaterThan(0);
+    for (const chunk of chunks) {
+      expect(chunk.id).toBe("chatcmpl-stream-test");
+      expect(chunk.created).toBe(1700000000);
+      expect(chunk.model).toBe("gpt-4o-override");
+    }
+  });
+
+  it("overrides finishReason on final chunk only", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    const lastChunk = chunks[chunks.length - 1];
+    expect(lastChunk.choices[0].finish_reason).toBe("length");
+  });
+
+  it("overrides role on role chunk", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", role: "system" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    const roleChunk = chunks.find((c) => c.choices[0]?.delta?.role !== undefined);
+    expect(roleChunk?.choices[0].delta.role).toBe("system");
+  });
+
+  it("adds systemFingerprint to every chunk", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", systemFingerprint: "fp_stream" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    for (const chunk of chunks) {
+      expect((chunk as Record<string, unknown>).system_fingerprint).toBe("fp_stream");
+    }
+  });
+});
+
+describe("response overrides: tool call", () => {
+  it("applies role override on tool-call-only response", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          role: "system",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "weather" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].message.role).toBe("system");
+  });
+
+  it("applies finishReason on tool call response", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          finishReason: "stop",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "weather" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].finish_reason).toBe("stop");
+  });
+});
+
+describe("response overrides: content+toolCalls", () => {
+  it("applies all overrides on combined response", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "search" },
+        response: {
+          content: "Let me search",
+          toolCalls: [{ name: "search", arguments: '{"q":"test"}' }],
+          id: "chatcmpl-combo",
+          model: "gpt-4o-combo",
+          usage: { prompt_tokens: 20, completion_tokens: 10, total_tokens: 30 },
+          systemFingerprint: "fp_combo",
+          role: "system",
+          finishReason: "stop",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "search" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toBe("chatcmpl-combo");
+    expect(json.model).toBe("gpt-4o-combo");
+    expect(json.usage.prompt_tokens).toBe(20);
+    expect(json.system_fingerprint).toBe("fp_combo");
+    expect(json.choices[0].message.role).toBe("system");
+    expect(json.choices[0].finish_reason).toBe("stop");
+  });
+});
+
+describe("response overrides: Claude format", () => {
+  it("maps id to message id", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", id: "msg_test123" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toBe("msg_test123");
+  });
+
+  it("maps finishReason 'stop' to stop_reason 'end_turn'", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "stop" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.stop_reason).toBe("end_turn");
+  });
+
+  it("maps usage input_tokens/output_tokens", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { input_tokens: 15, output_tokens: 8 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.input_tokens).toBe(15);
+    expect(json.usage.output_tokens).toBe(8);
+  });
+
+  it("maps overrides in streaming mode", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          id: "msg_stream_test",
+          model: "claude-override",
+          finishReason: "tool_calls",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const events = parseClaudeSSE(res.body);
+    const msgStart = events.find((e: Record<string, unknown>) => e.type === "message_start") as
+      | Record<string, unknown>
+      | undefined;
+    const msg = msgStart?.message as Record<string, unknown>;
+    expect(msg.id).toBe("msg_stream_test");
+    expect(msg.model).toBe("claude-override");
+
+    const msgDelta = events.find((e: Record<string, unknown>) => e.type === "message_delta") as
+      | Record<string, unknown>
+      | undefined;
+    const delta = msgDelta?.delta as Record<string, unknown>;
+    expect(delta.stop_reason).toBe("tool_use");
+  });
+});
+
+describe("response overrides: Gemini format", () => {
+  it("maps finishReason 'stop' to 'STOP'", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "stop" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.candidates[0].finishReason).toBe("STOP");
+  });
+
+  it("maps usage to usageMetadata", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { promptTokenCount: 10, candidatesTokenCount: 5, totalTokenCount: 15 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usageMetadata.promptTokenCount).toBe(10);
+    expect(json.usageMetadata.candidatesTokenCount).toBe(5);
+    expect(json.usageMetadata.totalTokenCount).toBe(15);
+  });
+
+  it("id/model/created are ignored in Gemini format", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          id: "should-be-ignored",
+          model: "should-be-ignored",
+          created: 1700000000,
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    // Gemini format does not have id, model, or created at top level
+    expect(json.id).toBeUndefined();
+    expect(json.model).toBeUndefined();
+    expect(json.created).toBeUndefined();
+  });
+
+  it("auto-computes totalTokenCount in streaming mode when omitted", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { promptTokenCount: 10, candidatesTokenCount: 20 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(
+      `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`,
+      {
+        contents: [{ role: "user", parts: [{ text: "hello" }] }],
+      },
+    );
+    const chunks = parseGeminiSSE(res.body) as Array<Record<string, unknown>>;
+    // Find the last chunk that has usageMetadata
+    const chunksWithUsage = chunks.filter((c) => c.usageMetadata !== undefined);
+    expect(chunksWithUsage.length).toBeGreaterThan(0);
+    const lastWithUsage = chunksWithUsage[chunksWithUsage.length - 1];
+    const usage = lastWithUsage.usageMetadata as Record<string, number>;
+    expect(usage.totalTokenCount).toBe(30);
+  });
+
+  it("maps finishReason in streaming mode", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "tool_calls" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(
+      `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`,
+      {
+        contents: [{ role: "user", parts: [{ text: "hello" }] }],
+      },
+    );
+    const chunks = parseGeminiSSE(res.body) as Array<Record<string, unknown>>;
+    const lastChunk = chunks[chunks.length - 1];
+    const candidates = lastChunk.candidates as Array<Record<string, unknown>>;
+    expect(candidates[0].finishReason).toBe("FUNCTION_CALL");
+  });
+});
+
+describe("response overrides: Responses API", () => {
+  it("applies id/created_at/model in envelope", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          id: "resp_test123",
+          created: 1700000000,
+          model: "gpt-4o-responses",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toBe("resp_test123");
+    expect(json.created_at).toBe(1700000000);
+    expect(json.model).toBe("gpt-4o-responses");
+  });
+
+  it("maps finishReason 'stop' to status 'completed'", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "stop" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.status).toBe("completed");
+  });
+
+  it("maps finishReason 'length' to status 'incomplete'", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.status).toBe("incomplete");
+  });
+
+  it("maps usage in Responses API format", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { input_tokens: 12, output_tokens: 6, total_tokens: 18 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.input_tokens).toBe(12);
+    expect(json.usage.output_tokens).toBe(6);
+    expect(json.usage.total_tokens).toBe(18);
+  });
+
+  it("applies overrides in streaming mode", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          id: "resp_stream",
+          created: 1700000000,
+          model: "gpt-4o-stream-resp",
+          finishReason: "length",
+          usage: { input_tokens: 5, output_tokens: 3, total_tokens: 8 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: true,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const events = parseResponsesSSE(res.body) as Array<Record<string, unknown>>;
+
+    const created = events.find((e) => e.type === "response.created") as Record<string, unknown>;
+    const createdResp = created.response as Record<string, unknown>;
+    expect(createdResp.id).toBe("resp_stream");
+    expect(createdResp.created_at).toBe(1700000000);
+    expect(createdResp.model).toBe("gpt-4o-stream-resp");
+
+    const completed = events.find((e) => e.type === "response.completed") as Record<
+      string,
+      unknown
+    >;
+    const completedResp = completed.response as Record<string, unknown>;
+    expect(completedResp.status).toBe("incomplete");
+    const usage = completedResp.usage as Record<string, unknown>;
+    expect(usage.input_tokens).toBe(5);
+    expect(usage.output_tokens).toBe(3);
+    expect(usage.total_tokens).toBe(8);
+  });
+});
+
+describe("response overrides: cross-provider tool call coverage", () => {
+  it("Gemini tool call finishReason maps to FUNCTION_CALL", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          finishReason: "tool_calls",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-2.0-flash:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "weather" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.candidates[0].finishReason).toBe("FUNCTION_CALL");
+  });
+
+  it("Claude tool call finishReason maps to tool_use", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          finishReason: "tool_calls",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "weather" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.stop_reason).toBe("tool_use");
+  });
+
+  it("Responses API tool call with id and finishReason overrides", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          id: "resp_custom_tc",
+          finishReason: "stop",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4o",
+      input: [{ role: "user", content: "weather" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.id).toBe("resp_custom_tc");
+    expect(json.status).toBe("completed");
+  });
+});
+
+describe("response overrides: finishReason cross-provider mappings", () => {
+  it("finishReason length maps to max_tokens on Claude", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.stop_reason).toBe("max_tokens");
+  });
+
+  it("finishReason length maps to MAX_TOKENS on Gemini", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.candidates[0].finishReason).toBe("MAX_TOKENS");
+  });
+
+  it("content_filter passthrough on OpenAI", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "content_filter" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].finish_reason).toBe("content_filter");
+  });
+
+  it("unknown finishReason passthrough", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "custom_reason" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.choices[0].finish_reason).toBe("custom_reason");
+  });
+
+  it("content_filter maps to SAFETY on Gemini", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "content_filter" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.candidates[0].finishReason).toBe("SAFETY");
+  });
+
+  it("content_filter maps to failed on Responses API", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "content_filter" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.status).toBe("failed");
+  });
+
+  it("content_filter passthrough on Claude", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "content_filter" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.stop_reason).toBe("content_filter");
+  });
+});
+
+describe("response overrides: total_tokens auto-sum", () => {
+  it("total_tokens auto-sum with both prompt and completion tokens", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { prompt_tokens: 10, completion_tokens: 20 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.prompt_tokens).toBe(10);
+    expect(json.usage.completion_tokens).toBe(20);
+    // total_tokens is auto-computed from prompt_tokens + completion_tokens when omitted
+    expect(json.usage.total_tokens).toBe(30);
+  });
+
+  it("Responses API total_tokens auto-sum", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { input_tokens: 10, output_tokens: 20 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.input_tokens).toBe(10);
+    expect(json.usage.output_tokens).toBe(20);
+    expect(json.usage.total_tokens).toBe(30);
+  });
+
+  it("Gemini totalTokenCount auto-sum", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { promptTokenCount: 10, candidatesTokenCount: 20 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usageMetadata.promptTokenCount).toBe(10);
+    expect(json.usageMetadata.candidatesTokenCount).toBe(20);
+    expect(json.usageMetadata.totalTokenCount).toBe(30);
+  });
+});
+
+describe("response overrides: partial usage merge for non-OpenAI", () => {
+  it("partial usage merge for Claude", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { input_tokens: 42 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.input_tokens).toBe(42);
+    expect(json.usage.output_tokens).toBe(0);
+  });
+
+  it("partial usage merge for Gemini", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { promptTokenCount: 42 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "hello" }] }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usageMetadata.promptTokenCount).toBe(42);
+    expect(json.usageMetadata.candidatesTokenCount).toBe(0);
+    expect(json.usageMetadata.totalTokenCount).toBe(42);
+  });
+
+  it("partial usage merge for Responses API", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: {
+          content: "Hi!",
+          usage: { input_tokens: 42 },
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "hello" }],
+    });
+    const json = JSON.parse(res.body);
+    expect(json.usage.input_tokens).toBe(42);
+    expect(json.usage.output_tokens).toBe(0);
+    expect(json.usage.total_tokens).toBe(42);
+  });
+});
+
+describe("response overrides: streaming CWTC overrides", () => {
+  it("streaming Claude CWTC overrides", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "search" },
+        response: {
+          content: "Let me search",
+          toolCalls: [{ name: "search", arguments: '{"q":"test"}' }],
+          id: "msg_cwtc_test",
+          model: "claude-override",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: true,
+      messages: [{ role: "user", content: "search" }],
+    });
+    const events = parseClaudeSSE(res.body);
+    const msgStart = events.find((e: Record<string, unknown>) => e.type === "message_start") as
+      | Record<string, unknown>
+      | undefined;
+    const msg = msgStart?.message as Record<string, unknown>;
+    expect(msg.id).toBe("msg_cwtc_test");
+    expect(msg.model).toBe("claude-override");
+  });
+
+  it("streaming Gemini CWTC finishReason", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "search" },
+        response: {
+          content: "Let me search",
+          toolCalls: [{ name: "search", arguments: '{"q":"test"}' }],
+          finishReason: "tool_calls",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(
+      `${instance.url}/v1beta/models/gemini-pro:streamGenerateContent?alt=sse`,
+      {
+        contents: [{ role: "user", parts: [{ text: "search" }] }],
+      },
+    );
+    const chunks = parseGeminiSSE(res.body) as Array<Record<string, unknown>>;
+    const lastChunk = chunks[chunks.length - 1];
+    const candidates = lastChunk.candidates as Array<Record<string, unknown>>;
+    expect(candidates[0].finishReason).toBe("FUNCTION_CALL");
+  });
+
+  it("streaming Responses API CWTC overrides", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "search" },
+        response: {
+          content: "Let me search",
+          toolCalls: [{ name: "search", arguments: '{"q":"test"}' }],
+          id: "resp_cwtc_test",
+          model: "gpt-4o-cwtc",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: true,
+      input: [{ role: "user", content: "search" }],
+    });
+    const events = parseResponsesSSE(res.body) as Array<Record<string, unknown>>;
+    const completed = events.find((e) => e.type === "response.completed") as Record<
+      string,
+      unknown
+    >;
+    const completedResp = completed.response as Record<string, unknown>;
+    expect(completedResp.id).toBe("resp_cwtc_test");
+    expect(completedResp.model).toBe("gpt-4o-cwtc");
+  });
+
+  it("finishReason length in Claude streaming", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "hello" },
+        response: { content: "Hi!", finishReason: "length" },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: true,
+      messages: [{ role: "user", content: "hello" }],
+    });
+    const events = parseClaudeSSE(res.body);
+    const msgDelta = events.find((e: Record<string, unknown>) => e.type === "message_delta") as
+      | Record<string, unknown>
+      | undefined;
+    const delta = msgDelta?.delta as Record<string, unknown>;
+    expect(delta.stop_reason).toBe("max_tokens");
+  });
+});
+
+describe("response overrides: reasoning in CWTC", () => {
+  it("reasoning in CWTC streaming OpenAI", async () => {
+    // OpenAI CWTC streaming does not currently include reasoning_content chunks;
+    // reasoning is only supported for text-only streaming in OpenAI format.
+    // Verify that the content and tool call chunks still appear correctly.
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "think" },
+        response: {
+          content: "The answer is 42",
+          toolCalls: [{ name: "calc", arguments: '{"x":42}' }],
+          reasoning: "Let me think about this...",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "think" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    const contentChunks = chunks.filter((c) => c.choices?.[0]?.delta?.content);
+    const toolChunks = chunks.filter((c) => c.choices?.[0]?.delta?.tool_calls);
+    expect(contentChunks.length).toBeGreaterThan(0);
+    expect(toolChunks.length).toBeGreaterThan(0);
+  });
+
+  it("reasoning in CWTC for Claude non-streaming", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "think" },
+        response: {
+          content: "The answer is 42",
+          toolCalls: [{ name: "calc", arguments: '{"x":42}' }],
+          reasoning: "Let me think about this...",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/messages`, {
+      model: "claude-3-opus-20240229",
+      max_tokens: 100,
+      stream: false,
+      messages: [{ role: "user", content: "think" }],
+    });
+    const json = JSON.parse(res.body);
+    const thinkingBlock = json.content.find((b: Record<string, unknown>) => b.type === "thinking");
+    expect(thinkingBlock).toBeDefined();
+    expect(thinkingBlock.thinking).toBe("Let me think about this...");
+  });
+
+  it("reasoning in CWTC for Gemini non-streaming", async () => {
+    // Gemini CWTC does not currently include thought parts for reasoning;
+    // reasoning is only supported for text-only responses in Gemini format.
+    // Verify that the text and functionCall parts still appear correctly.
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "think" },
+        response: {
+          content: "The answer is 42",
+          toolCalls: [{ name: "calc", arguments: '{"x":42}' }],
+          reasoning: "Let me think about this...",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1beta/models/gemini-pro:generateContent`, {
+      contents: [{ role: "user", parts: [{ text: "think" }] }],
+    });
+    const json = JSON.parse(res.body);
+    const parts = json.candidates[0].content.parts;
+    const textPart = parts.find((p: Record<string, unknown>) => p.text !== undefined && !p.thought);
+    const fcPart = parts.find((p: Record<string, unknown>) => p.functionCall !== undefined);
+    expect(textPart).toBeDefined();
+    expect(textPart.text).toBe("The answer is 42");
+    expect(fcPart).toBeDefined();
+  });
+});
+
+describe("response overrides: webSearches in CWTC", () => {
+  it("webSearches in CWTC for Responses API", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "search" },
+        response: {
+          content: "Here are results",
+          toolCalls: [{ name: "lookup", arguments: '{"q":"test"}' }],
+          webSearches: ["search query 1"],
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/responses`, {
+      model: "gpt-4",
+      stream: false,
+      input: [{ role: "user", content: "search" }],
+    });
+    const json = JSON.parse(res.body);
+    const output = json.output as Array<Record<string, unknown>>;
+    const webSearchItems = output.filter((o) => o.type === "web_search_call");
+    expect(webSearchItems.length).toBeGreaterThan(0);
+  });
+});
+
+describe("response overrides: streaming tool calls with overrides", () => {
+  it("streaming tool call chunks with overrides per-chunk", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "weather" },
+        response: {
+          toolCalls: [{ name: "get_weather", arguments: '{"city":"NYC"}' }],
+          id: "chatcmpl-tc-override",
+          model: "gpt-4o-tc-override",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "weather" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    expect(chunks.length).toBeGreaterThan(0);
+    for (const chunk of chunks) {
+      expect(chunk.id).toBe("chatcmpl-tc-override");
+      expect(chunk.model).toBe("gpt-4o-tc-override");
+    }
+  });
+
+  it("streaming content+toolCalls with overrides", async () => {
+    const fixtures: Fixture[] = [
+      {
+        match: { userMessage: "combo" },
+        response: {
+          content: "Let me check",
+          toolCalls: [{ name: "search", arguments: '{"q":"test"}' }],
+          id: "chatcmpl-combo-stream",
+          model: "gpt-4o-combo-stream",
+        },
+      },
+    ];
+    instance = await createServer(fixtures);
+    const res = await httpPost(`${instance.url}/v1/chat/completions`, {
+      model: "gpt-4",
+      stream: true,
+      messages: [{ role: "user", content: "combo" }],
+    });
+    const chunks = parseSSEResponse(res.body);
+    expect(chunks.length).toBeGreaterThan(0);
+    for (const chunk of chunks) {
+      expect(chunk.id).toBe("chatcmpl-combo-stream");
+      expect(chunk.model).toBe("gpt-4o-combo-stream");
+    }
+  });
+});
+
+describe("response overrides: extractOverrides unit tests", () => {
+  it("extractOverrides with empty usage", async () => {
+    const { extractOverrides } = await import("../helpers.js");
+    const result = extractOverrides({ content: "hi", usage: {} } as TextResponse);
+    expect(result.usage).toEqual({});
+  });
+
+  it("extractOverrides from ToolCallResponse", async () => {
+    const { extractOverrides } = await import("../helpers.js");
+    const result = extractOverrides({
+      toolCalls: [{ name: "fn", arguments: "{}" }],
+      id: "tc-1",
+      finishReason: "tool_calls",
+    } as ToolCallResponse);
+    expect(result.id).toBe("tc-1");
+    expect(result.finishReason).toBe("tool_calls");
+  });
+
+  it("extractOverrides from ContentWithToolCallsResponse", async () => {
+    const { extractOverrides } = await import("../helpers.js");
+    const result = extractOverrides({
+      content: "Hello",
+      toolCalls: [{ name: "fn", arguments: "{}" }],
+      id: "cwtc-1",
+      model: "gpt-4",
+      created: 1700000000,
+      finishReason: "tool_calls",
+      role: "assistant",
+      systemFingerprint: "fp_test",
+      usage: { prompt_tokens: 10 },
+    } as ContentWithToolCallsResponse);
+    expect(result.id).toBe("cwtc-1");
+    expect(result.model).toBe("gpt-4");
+    expect(result.created).toBe(1700000000);
+    expect(result.finishReason).toBe("tool_calls");
+    expect(result.role).toBe("assistant");
+    expect(result.systemFingerprint).toBe("fp_test");
+    expect(result.usage).toEqual({ prompt_tokens: 10 });
+  });
+});
+
+describe("response overrides: fixture file round-trip", () => {
+  it("preserves override fields from fixture file format", async () => {
+    // This tests that override fields on FixtureResponse are preserved through
+    // entryToFixture (fixture-loader) since it copies response as-is
+    const { entryToFixture } = await import("../fixture-loader.js");
+    const fixture = entryToFixture({
+      match: { userMessage: "hello" },
+      response: {
+        content: "Hi!",
+        id: "chatcmpl-file",
+        created: 1700000000,
+        model: "gpt-4o-file",
+        usage: { prompt_tokens: 10, completion_tokens: 5, total_tokens: 15 },
+        finishReason: "stop",
+        systemFingerprint: "fp_file",
+      },
+    });
+
+    const response = fixture.response as Record<string, unknown>;
+    expect(response.id).toBe("chatcmpl-file");
+    expect(response.created).toBe(1700000000);
+    expect(response.model).toBe("gpt-4o-file");
+    expect(response.finishReason).toBe("stop");
+    expect(response.systemFingerprint).toBe("fp_file");
+    const usage = response.usage as Record<string, unknown>;
+    expect(usage.prompt_tokens).toBe(10);
+  });
+});
diff --git a/src/fixture-loader.ts b/src/fixture-loader.ts
index 452ce14..40d2ddb 100644
--- a/src/fixture-loader.ts
+++ b/src/fixture-loader.ts
@@ -1,14 +1,53 @@
 import { readFileSync, readdirSync, statSync } from "node:fs";
 import { join } from "node:path";
-import type { Fixture, FixtureFile, FixtureFileEntry } from "./types.js";
+import type {
+  Fixture,
+  FixtureFile,
+  FixtureFileEntry,
+  FixtureFileResponse,
+  FixtureResponse,
+  ResponseOverrides,
+} from "./types.js";
 import {
   isTextResponse,
   isToolCallResponse,
+  isContentWithToolCallsResponse,
   isErrorResponse,
   isEmbeddingResponse,
+  isImageResponse,
+  isAudioResponse,
+  isTranscriptionResponse,
+  isVideoResponse,
 } from "./helpers.js";
 import type { Logger } from "./logger.js";
 
+/**
+ * Auto-stringify object-valued `content` and `toolCalls[].arguments` fields.
+ * This lets fixture authors write plain JSON objects instead of escaped strings.
+ * All other fields (including ResponseOverrides) pass through unmodified.
+ */
+export function normalizeResponse(raw: FixtureFileResponse): FixtureResponse {
+  // Shallow-clone so we don't mutate the parsed JSON input.
+  const response = { ...raw } as Record<string, unknown>;
+
+  // Auto-stringify object content (e.g. structured output)
+  if (typeof response.content === "object" && response.content !== null) {
+    response.content = JSON.stringify(response.content);
+  }
+
+  // Auto-stringify object arguments in toolCalls
+  if (Array.isArray(response.toolCalls)) {
+    response.toolCalls = (response.toolCalls as Array<Record<string, unknown>>).map((tc) => {
+      if (typeof tc.arguments === "object" && tc.arguments !== null) {
+        return { ...tc, arguments: JSON.stringify(tc.arguments) };
+      }
+      return tc;
+    });
+  }
+
+  return response as unknown as FixtureResponse;
+}
+
 export function entryToFixture(entry: FixtureFileEntry): Fixture {
   return {
     match: {
@@ -21,7 +60,7 @@ export function entryToFixture(entry: FixtureFileEntry): Fixture {
       endpoint: entry.match.endpoint,
       ...(entry.match.sequenceIndex !== undefined && { sequenceIndex: entry.match.sequenceIndex }),
     },
-    response: entry.response,
+    response: normalizeResponse(entry.response),
     ...(entry.latency !== undefined && { latency: entry.latency }),
     ...(entry.chunkSize !== undefined && { chunkSize: entry.chunkSize }),
     ...(entry.truncateAfterChunks !== undefined && {
@@ -120,6 +159,68 @@ export interface ValidationResult {
   message: string;
 }
 
+function validateReasoning(
+  response: { reasoning?: unknown },
+  fixtureIndex: number,
+  results: ValidationResult[],
+): void {
+  if (response.reasoning !== undefined) {
+    if (typeof response.reasoning !== "string") {
+      results.push({
+        severity: "error",
+        fixtureIndex,
+        message: "reasoning must be a string",
+      });
+    } else if (response.reasoning === "") {
+      results.push({
+        severity: "warning",
+        fixtureIndex,
+        message: "reasoning is empty string — no reasoning events will be emitted",
+      });
+    }
+  }
+}
+
+function validateWebSearches(
+  response: { webSearches?: unknown },
+  fixtureIndex: number,
+  results: ValidationResult[],
+): void {
+  if (response.webSearches !== undefined) {
+    if (!Array.isArray(response.webSearches)) {
+      results.push({
+        severity: "error",
+        fixtureIndex,
+        message: "webSearches must be an array of strings",
+      });
+    } else if (response.webSearches.length === 0) {
+      results.push({
+        severity: "warning",
+        fixtureIndex,
+        message: "webSearches is empty array — no web search events will be emitted",
+      });
+    } else {
+      for (let j = 0; j < response.webSearches.length; j++) {
+        if (typeof response.webSearches[j] !== "string") {
+          results.push({
+            severity: "error",
+            fixtureIndex,
+            message: `webSearches[${j}] is not a string`,
+          });
+          break;
+        }
+        if (response.webSearches[j] === "") {
+          results.push({
+            severity: "warning",
+            fixtureIndex,
+            message: `webSearches[${j}] is empty string`,
+          });
+        }
+      }
+    }
+  }
+}
+
 export function validateFixtures(fixtures: Fixture[]): ValidationResult[] {
   const results: ValidationResult[] = [];
 
@@ -132,17 +233,24 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] {
     // --- Error checks ---
 
     // Response type recognition
+    // Note: isContentWithToolCallsResponse must be checked before isTextResponse
+    // and isToolCallResponse since it is a structural superset of both.
     if (
+      !isContentWithToolCallsResponse(response) &&
       !isTextResponse(response) &&
       !isToolCallResponse(response) &&
       !isErrorResponse(response) &&
-      !isEmbeddingResponse(response)
+      !isEmbeddingResponse(response) &&
+      !isImageResponse(response) &&
+      !isAudioResponse(response) &&
+      !isTranscriptionResponse(response) &&
+      !isVideoResponse(response)
     ) {
       results.push({
         severity: "error",
         fixtureIndex: i,
         message:
-          "response is not a recognized type (must have content, toolCalls, error, or embedding)",
+          "response is not a recognized type (must have content, toolCalls, error, embedding, image, audio, transcription, or video)",
       });
     }
 
@@ -155,54 +263,47 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] {
           message: "content is empty string",
         });
       }
-      if (response.reasoning !== undefined) {
-        if (typeof response.reasoning !== "string") {
+      validateReasoning(response, i, results);
+      validateWebSearches(response, i, results);
+    }
+
+    // ContentWithToolCalls response checks
+    if (isContentWithToolCallsResponse(response)) {
+      if (response.content === "") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: "content is empty string",
+        });
+      }
+      if (response.toolCalls.length === 0) {
+        results.push({
+          severity: "warning",
+          fixtureIndex: i,
+          message: "toolCalls array is empty — fixture will never produce tool calls",
+        });
+      }
+      for (let j = 0; j < response.toolCalls.length; j++) {
+        const tc = response.toolCalls[j];
+        if (!tc.name) {
           results.push({
             severity: "error",
             fixtureIndex: i,
-            message: "reasoning must be a string",
-          });
-        } else if (response.reasoning === "") {
-          results.push({
-            severity: "warning",
-            fixtureIndex: i,
-            message: "reasoning is empty string — no reasoning events will be emitted",
+            message: `toolCalls[${j}].name is empty`,
           });
         }
-      }
-      if (response.webSearches !== undefined) {
-        if (!Array.isArray(response.webSearches)) {
+        try {
+          JSON.parse(tc.arguments);
+        } catch {
           results.push({
             severity: "error",
             fixtureIndex: i,
-            message: "webSearches must be an array of strings",
-          });
-        } else if (response.webSearches.length === 0) {
-          results.push({
-            severity: "warning",
-            fixtureIndex: i,
-            message: "webSearches is empty array — no web search events will be emitted",
+            message: `toolCalls[${j}].arguments is not valid JSON: ${tc.arguments}`,
           });
-        } else {
-          for (let j = 0; j < response.webSearches.length; j++) {
-            if (typeof response.webSearches[j] !== "string") {
-              results.push({
-                severity: "error",
-                fixtureIndex: i,
-                message: `webSearches[${j}] is not a string`,
-              });
-              break;
-            }
-            if (response.webSearches[j] === "") {
-              results.push({
-                severity: "warning",
-                fixtureIndex: i,
-                message: `webSearches[${j}] is empty string`,
-              });
-            }
-          }
         }
       }
+      validateReasoning(response, i, results);
+      validateWebSearches(response, i, results);
     }
 
     // Tool call response checks
@@ -274,6 +375,78 @@ export function validateFixtures(fixtures: Fixture[]): ValidationResult[] {
       }
     }
 
+    // Validate ResponseOverrides fields
+    if (
+      isTextResponse(response) ||
+      isToolCallResponse(response) ||
+      isContentWithToolCallsResponse(response)
+    ) {
+      const r = response as ResponseOverrides;
+      if (r.id !== undefined && typeof r.id !== "string") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "id" must be a string, got ${typeof r.id}`,
+        });
+      }
+      if (r.created !== undefined && (typeof r.created !== "number" || r.created < 0)) {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "created" must be a non-negative number`,
+        });
+      }
+      if (r.model !== undefined && typeof r.model !== "string") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "model" must be a string, got ${typeof r.model}`,
+        });
+      }
+      if (r.finishReason !== undefined && typeof r.finishReason !== "string") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "finishReason" must be a string, got ${typeof r.finishReason}`,
+        });
+      }
+      if (r.role !== undefined && typeof r.role !== "string") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "role" must be a string, got ${typeof r.role}`,
+        });
+      }
+      if (r.systemFingerprint !== undefined && typeof r.systemFingerprint !== "string") {
+        results.push({
+          severity: "error",
+          fixtureIndex: i,
+          message: `override "systemFingerprint" must be a string, got ${typeof r.systemFingerprint}`,
+        });
+      }
+      if (r.usage !== undefined) {
+        if (typeof r.usage !== "object" || r.usage === null || Array.isArray(r.usage)) {
+          results.push({
+            severity: "error",
+            fixtureIndex: i,
+            message: `override "usage" must be an object`,
+          });
+        } else {
+          // Check all known usage fields are numbers if present
+          for (const key of Object.keys(r.usage)) {
+            const val = (r.usage as Record<string, unknown>)[key];
+            if (val !== undefined && typeof val !== "number") {
+              results.push({
+                severity: "error",
+                fixtureIndex: i,
+                message: `override "usage.${key}" must be a number, got ${typeof val}`,
+              });
+            }
+          }
+        }
+      }
+    }
+
     // Numeric sanity checks
     if (f.latency !== undefined && f.latency < 0) {
       results.push({
diff --git a/src/gemini.ts b/src/gemini.ts
index 3c6529d..c879a14 100644
--- a/src/gemini.ts
+++ b/src/gemini.ts
@@ -13,6 +13,7 @@ import type {
   Fixture,
   HandlerDefaults,
   RecordProviderKey,
+  ResponseOverrides,
   StreamingProfile,
   ToolCall,
   ToolDefinition,
@@ -22,6 +23,7 @@ import {
   isToolCallResponse,
   isContentWithToolCallsResponse,
   isErrorResponse,
+  extractOverrides,
   generateToolCallId,
   flattenHeaders,
   getTestId,
@@ -177,6 +179,33 @@ export function geminiToCompletionRequest(
 
 // ─── Response building: fixture → Gemini format ─────────────────────────────
 
+function geminiFinishReason(finishReason: string | undefined, defaultReason: string): string {
+  if (!finishReason) return defaultReason;
+  if (finishReason === "stop") return "STOP";
+  if (finishReason === "tool_calls") return "FUNCTION_CALL";
+  if (finishReason === "length") return "MAX_TOKENS";
+  if (finishReason === "content_filter") return "SAFETY";
+  // Pass through unrecognized values as-is
+  return finishReason;
+}
+
+function geminiUsageMetadata(overrides?: ResponseOverrides): {
+  promptTokenCount: number;
+  candidatesTokenCount: number;
+  totalTokenCount: number;
+} {
+  if (!overrides?.usage)
+    return { promptTokenCount: 0, candidatesTokenCount: 0, totalTokenCount: 0 };
+  const prompt = overrides.usage.promptTokenCount ?? 0;
+  const candidates = overrides.usage.candidatesTokenCount ?? 0;
+  const total = overrides.usage.totalTokenCount ?? prompt + candidates;
+  return {
+    promptTokenCount: prompt,
+    candidatesTokenCount: candidates,
+    totalTokenCount: total,
+  };
+}
+
 interface GeminiResponseChunk {
   candidates: {
     content: { role: string; parts: GeminiPart[] };
@@ -194,8 +223,11 @@ function buildGeminiTextStreamChunks(
   content: string,
   chunkSize: number,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): GeminiResponseChunk[] {
   const chunks: GeminiResponseChunk[] = [];
+  const effectiveFinish = geminiFinishReason(overrides?.finishReason, "STOP");
+  const usage = geminiUsageMetadata(overrides);
 
   // Reasoning chunks (thought: true)
   if (reasoning) {
@@ -212,7 +244,7 @@ function buildGeminiTextStreamChunks(
     }
   }
 
-  // Content chunks (original logic unchanged)
+  // Content chunks
   for (let i = 0; i < content.length; i += chunkSize) {
     const slice = content.slice(i, i + chunkSize);
     const isLast = i + chunkSize >= content.length;
@@ -221,37 +253,25 @@ function buildGeminiTextStreamChunks(
         {
           content: { role: "model", parts: [{ text: slice }] },
           index: 0,
-          ...(isLast ? { finishReason: "STOP" } : {}),
+          ...(isLast ? { finishReason: effectiveFinish } : {}),
         },
       ],
-      ...(isLast
-        ? {
-            usageMetadata: {
-              promptTokenCount: 0,
-              candidatesTokenCount: 0,
-              totalTokenCount: 0,
-            },
-          }
-        : {}),
+      ...(isLast ? { usageMetadata: usage } : {}),
     };
     chunks.push(chunk);
   }
 
-  // Handle empty content (original logic unchanged)
+  // Handle empty content
   if (content.length === 0) {
     chunks.push({
       candidates: [
         {
           content: { role: "model", parts: [{ text: "" }] },
-          finishReason: "STOP",
+          finishReason: effectiveFinish,
           index: 0,
         },
       ],
-      usageMetadata: {
-        promptTokenCount: 0,
-        candidatesTokenCount: 0,
-        totalTokenCount: 0,
-      },
+      usageMetadata: usage,
     });
   }
 
@@ -272,6 +292,7 @@ function parseToolCallPart(tc: ToolCall, logger: Logger): GeminiPart {
 function buildGeminiToolCallStreamChunks(
   toolCalls: ToolCall[],
   logger: Logger,
+  overrides?: ResponseOverrides,
 ): GeminiResponseChunk[] {
   const parts: GeminiPart[] = toolCalls.map((tc) => parseToolCallPart(tc, logger));
 
@@ -281,22 +302,22 @@ function buildGeminiToolCallStreamChunks(
       candidates: [
         {
           content: { role: "model", parts },
-          finishReason: "FUNCTION_CALL",
+          finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"),
           index: 0,
         },
       ],
-      usageMetadata: {
-        promptTokenCount: 0,
-        candidatesTokenCount: 0,
-        totalTokenCount: 0,
-      },
+      usageMetadata: geminiUsageMetadata(overrides),
     },
   ];
 }
 
 // Non-streaming response builders
 
-function buildGeminiTextResponse(content: string, reasoning?: string): GeminiResponseChunk {
+function buildGeminiTextResponse(
+  content: string,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
+): GeminiResponseChunk {
   const parts: GeminiPart[] = [];
   if (reasoning) {
     parts.push({ text: reasoning, thought: true });
@@ -307,34 +328,30 @@ function buildGeminiTextResponse(content: string, reasoning?: string): GeminiRes
     candidates: [
       {
         content: { role: "model", parts },
-        finishReason: "STOP",
+        finishReason: geminiFinishReason(overrides?.finishReason, "STOP"),
         index: 0,
       },
     ],
-    usageMetadata: {
-      promptTokenCount: 0,
-      candidatesTokenCount: 0,
-      totalTokenCount: 0,
-    },
+    usageMetadata: geminiUsageMetadata(overrides),
   };
 }
 
-function buildGeminiToolCallResponse(toolCalls: ToolCall[], logger: Logger): GeminiResponseChunk {
+function buildGeminiToolCallResponse(
+  toolCalls: ToolCall[],
+  logger: Logger,
+  overrides?: ResponseOverrides,
+): GeminiResponseChunk {
   const parts: GeminiPart[] = toolCalls.map((tc) => parseToolCallPart(tc, logger));
 
   return {
     candidates: [
       {
         content: { role: "model", parts },
-        finishReason: "FUNCTION_CALL",
+        finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"),
         index: 0,
       },
     ],
-    usageMetadata: {
-      promptTokenCount: 0,
-      candidatesTokenCount: 0,
-      totalTokenCount: 0,
-    },
+    usageMetadata: geminiUsageMetadata(overrides),
   };
 }
 
@@ -343,9 +360,26 @@ function buildGeminiContentWithToolCallsStreamChunks(
   toolCalls: ToolCall[],
   chunkSize: number,
   logger: Logger,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
 ): GeminiResponseChunk[] {
   const chunks: GeminiResponseChunk[] = [];
 
+  // Reasoning chunks (thought: true)
+  if (reasoning) {
+    for (let i = 0; i < reasoning.length; i += chunkSize) {
+      const slice = reasoning.slice(i, i + chunkSize);
+      chunks.push({
+        candidates: [
+          {
+            content: { role: "model", parts: [{ text: slice, thought: true }] },
+            index: 0,
+          },
+        ],
+      });
+    }
+  }
+
   if (content.length === 0) {
     chunks.push({
       candidates: [
@@ -375,15 +409,11 @@ function buildGeminiContentWithToolCallsStreamChunks(
     candidates: [
       {
         content: { role: "model", parts },
-        finishReason: "FUNCTION_CALL",
+        finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"),
         index: 0,
       },
     ],
-    usageMetadata: {
-      promptTokenCount: 0,
-      candidatesTokenCount: 0,
-      totalTokenCount: 0,
-    },
+    usageMetadata: geminiUsageMetadata(overrides),
   });
 
   return chunks;
@@ -393,25 +423,25 @@ function buildGeminiContentWithToolCallsResponse(
   content: string,
   toolCalls: ToolCall[],
   logger: Logger,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
 ): GeminiResponseChunk {
-  const parts: GeminiPart[] = [
-    { text: content },
-    ...toolCalls.map((tc) => parseToolCallPart(tc, logger)),
-  ];
+  const parts: GeminiPart[] = [];
+  if (reasoning) {
+    parts.push({ text: reasoning, thought: true });
+  }
+  parts.push({ text: content });
+  parts.push(...toolCalls.map((tc) => parseToolCallPart(tc, logger)));
 
   return {
     candidates: [
       {
         content: { role: "model", parts },
-        finishReason: "FUNCTION_CALL",
+        finishReason: geminiFinishReason(overrides?.finishReason, "FUNCTION_CALL"),
         index: 0,
       },
     ],
-    usageMetadata: {
-      promptTokenCount: 0,
-      candidatesTokenCount: 0,
-      totalTokenCount: 0,
-    },
+    usageMetadata: geminiUsageMetadata(overrides),
   };
 }
 
@@ -617,6 +647,10 @@ export async function handleGemini(
 
   // Content + tool calls response (must be checked before isTextResponse / isToolCallResponse)
   if (isContentWithToolCallsResponse(response)) {
+    if (response.webSearches?.length) {
+      logger.warn("webSearches in fixture response are not supported for Gemini API — ignoring");
+    }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path,
@@ -629,6 +663,8 @@ export async function handleGemini(
         response.content,
         response.toolCalls,
         logger,
+        response.reasoning,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
@@ -638,6 +674,8 @@ export async function handleGemini(
         response.toolCalls,
         chunkSize,
         logger,
+        response.reasoning,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeGeminiSSEStream(res, chunks, {
@@ -658,6 +696,10 @@ export async function handleGemini(
 
   // Text response
   if (isTextResponse(response)) {
+    if (response.webSearches?.length) {
+      logger.warn("webSearches in fixture response are not supported for Gemini API — ignoring");
+    }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path,
@@ -666,11 +708,16 @@ export async function handleGemini(
       response: { status: 200, fixture },
     });
     if (!streaming) {
-      const body = buildGeminiTextResponse(response.content, response.reasoning);
+      const body = buildGeminiTextResponse(response.content, response.reasoning, overrides);
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
     } else {
-      const chunks = buildGeminiTextStreamChunks(response.content, chunkSize, response.reasoning);
+      const chunks = buildGeminiTextStreamChunks(
+        response.content,
+        chunkSize,
+        response.reasoning,
+        overrides,
+      );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeGeminiSSEStream(res, chunks, {
         latency,
@@ -690,6 +737,7 @@ export async function handleGemini(
 
   // Tool call response
   if (isToolCallResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path,
@@ -698,11 +746,11 @@ export async function handleGemini(
       response: { status: 200, fixture },
     });
     if (!streaming) {
-      const body = buildGeminiToolCallResponse(response.toolCalls, logger);
+      const body = buildGeminiToolCallResponse(response.toolCalls, logger, overrides);
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
     } else {
-      const chunks = buildGeminiToolCallStreamChunks(response.toolCalls, logger);
+      const chunks = buildGeminiToolCallStreamChunks(response.toolCalls, logger, overrides);
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeGeminiSSEStream(res, chunks, {
         latency,
diff --git a/src/helpers.ts b/src/helpers.ts
index 325ac11..799902f 100644
--- a/src/helpers.ts
+++ b/src/helpers.ts
@@ -14,6 +14,7 @@ import type {
   SSEChunk,
   ToolCall,
   ChatCompletion,
+  ResponseOverrides,
 } from "./types.js";
 
 const REDACTED_HEADERS = new Set(["authorization", "x-api-key", "api-key"]);
@@ -48,11 +49,15 @@ export function generateToolUseId(): string {
 }
 
 export function isTextResponse(r: FixtureResponse): r is TextResponse {
-  return "content" in r && typeof (r as TextResponse).content === "string";
+  return "content" in r && typeof (r as TextResponse).content === "string" && !("toolCalls" in r);
 }
 
 export function isToolCallResponse(r: FixtureResponse): r is ToolCallResponse {
-  return "toolCalls" in r && Array.isArray((r as ToolCallResponse).toolCalls);
+  return (
+    "toolCalls" in r &&
+    Array.isArray((r as ToolCallResponse).toolCalls) &&
+    !("content" in r && typeof (r as unknown as Record<string, unknown>).content === "string")
+  );
 }
 
 export function isContentWithToolCallsResponse(
@@ -105,15 +110,33 @@ export function isVideoResponse(r: FixtureResponse): r is VideoResponse {
   );
 }
 
+export function extractOverrides(
+  response: TextResponse | ToolCallResponse | ContentWithToolCallsResponse,
+): ResponseOverrides {
+  const r = response;
+  return {
+    ...(r.id !== undefined && { id: r.id }),
+    ...(r.created !== undefined && { created: r.created }),
+    ...(r.model !== undefined && { model: r.model }),
+    ...(r.usage !== undefined && { usage: r.usage }),
+    ...(r.systemFingerprint !== undefined && { systemFingerprint: r.systemFingerprint }),
+    ...(r.finishReason !== undefined && { finishReason: r.finishReason }),
+    ...(r.role !== undefined && { role: r.role }),
+  };
+}
+
 export function buildTextChunks(
   content: string,
   model: string,
   chunkSize: number,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): SSEChunk[] {
-  const id = generateId();
-  const created = Math.floor(Date.now() / 1000);
+  const id = overrides?.id ?? generateId();
+  const created = overrides?.created ?? Math.floor(Date.now() / 1000);
+  const effectiveModel = overrides?.model ?? model;
   const chunks: SSEChunk[] = [];
+  const fingerprint = overrides?.systemFingerprint;
 
   // Reasoning chunks (emitted before content, OpenRouter format)
   if (reasoning) {
@@ -123,8 +146,9 @@ export function buildTextChunks(
         id,
         object: "chat.completion.chunk",
         created,
-        model,
+        model: effectiveModel,
         choices: [{ index: 0, delta: { reasoning_content: slice }, finish_reason: null }],
+        ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
       });
     }
   }
@@ -134,8 +158,15 @@ export function buildTextChunks(
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: { role: "assistant", content: "" }, finish_reason: null }],
+    model: effectiveModel,
+    choices: [
+      {
+        index: 0,
+        delta: { role: overrides?.role ?? "assistant", content: "" },
+        finish_reason: null,
+      },
+    ],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   // Content chunks
@@ -145,8 +176,9 @@ export function buildTextChunks(
       id,
       object: "chat.completion.chunk",
       created,
-      model,
+      model: effectiveModel,
       choices: [{ index: 0, delta: { content: slice }, finish_reason: null }],
+      ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
     });
   }
 
@@ -155,8 +187,9 @@ export function buildTextChunks(
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+    model: effectiveModel,
+    choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "stop" }],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   return chunks;
@@ -166,18 +199,28 @@ export function buildToolCallChunks(
   toolCalls: ToolCall[],
   model: string,
   chunkSize: number,
+  overrides?: ResponseOverrides,
 ): SSEChunk[] {
-  const id = generateId();
-  const created = Math.floor(Date.now() / 1000);
+  const id = overrides?.id ?? generateId();
+  const created = overrides?.created ?? Math.floor(Date.now() / 1000);
+  const effectiveModel = overrides?.model ?? model;
   const chunks: SSEChunk[] = [];
+  const fingerprint = overrides?.systemFingerprint;
 
   // Role chunk
   chunks.push({
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: { role: "assistant", content: null }, finish_reason: null }],
+    model: effectiveModel,
+    choices: [
+      {
+        index: 0,
+        delta: { role: overrides?.role ?? "assistant", content: null },
+        finish_reason: null,
+      },
+    ],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   // Tool call chunks — one initial chunk per tool call, then argument chunks
@@ -190,7 +233,7 @@ export function buildToolCallChunks(
       id,
       object: "chat.completion.chunk",
       created,
-      model,
+      model: effectiveModel,
       choices: [
         {
           index: 0,
@@ -207,6 +250,7 @@ export function buildToolCallChunks(
           finish_reason: null,
         },
       ],
+      ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
     });
 
     // Argument streaming chunks
@@ -217,7 +261,7 @@ export function buildToolCallChunks(
         id,
         object: "chat.completion.chunk",
         created,
-        model,
+        model: effectiveModel,
         choices: [
           {
             index: 0,
@@ -227,6 +271,7 @@ export function buildToolCallChunks(
             finish_reason: null,
           },
         ],
+        ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
       });
     }
   }
@@ -236,8 +281,9 @@ export function buildToolCallChunks(
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: {}, finish_reason: "tool_calls" }],
+    model: effectiveModel,
+    choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "tool_calls" }],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   return chunks;
@@ -249,39 +295,57 @@ export function buildTextCompletion(
   content: string,
   model: string,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): ChatCompletion {
+  const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 };
   return {
-    id: generateId(),
+    id: overrides?.id ?? generateId(),
     object: "chat.completion",
-    created: Math.floor(Date.now() / 1000),
-    model,
+    created: overrides?.created ?? Math.floor(Date.now() / 1000),
+    model: overrides?.model ?? model,
     choices: [
       {
         index: 0,
         message: {
-          role: "assistant",
+          role: overrides?.role ?? "assistant",
           content,
           refusal: null,
           ...(reasoning ? { reasoning_content: reasoning } : {}),
         },
-        finish_reason: "stop",
+        finish_reason: overrides?.finishReason ?? "stop",
       },
     ],
-    usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+    usage: overrides?.usage
+      ? {
+          prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens,
+          completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens,
+          total_tokens:
+            overrides.usage.total_tokens ??
+            (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0),
+        }
+      : defaultUsage,
+    ...(overrides?.systemFingerprint !== undefined && {
+      system_fingerprint: overrides.systemFingerprint,
+    }),
   };
 }
 
-export function buildToolCallCompletion(toolCalls: ToolCall[], model: string): ChatCompletion {
+export function buildToolCallCompletion(
+  toolCalls: ToolCall[],
+  model: string,
+  overrides?: ResponseOverrides,
+): ChatCompletion {
+  const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 };
   return {
-    id: generateId(),
+    id: overrides?.id ?? generateId(),
     object: "chat.completion",
-    created: Math.floor(Date.now() / 1000),
-    model,
+    created: overrides?.created ?? Math.floor(Date.now() / 1000),
+    model: overrides?.model ?? model,
     choices: [
       {
         index: 0,
         message: {
-          role: "assistant",
+          role: overrides?.role ?? "assistant",
           content: null,
           refusal: null,
           tool_calls: toolCalls.map((tc) => ({
@@ -290,10 +354,21 @@ export function buildToolCallCompletion(toolCalls: ToolCall[], model: string): C
             function: { name: tc.name, arguments: tc.arguments },
           })),
         },
-        finish_reason: "tool_calls",
+        finish_reason: overrides?.finishReason ?? "tool_calls",
       },
     ],
-    usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+    usage: overrides?.usage
+      ? {
+          prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens,
+          completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens,
+          total_tokens:
+            overrides.usage.total_tokens ??
+            (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0),
+        }
+      : defaultUsage,
+    ...(overrides?.systemFingerprint !== undefined && {
+      system_fingerprint: overrides.systemFingerprint,
+    }),
   };
 }
 
@@ -302,18 +377,44 @@ export function buildContentWithToolCallsChunks(
   toolCalls: ToolCall[],
   model: string,
   chunkSize: number,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
 ): SSEChunk[] {
-  const id = generateId();
-  const created = Math.floor(Date.now() / 1000);
+  const id = overrides?.id ?? generateId();
+  const created = overrides?.created ?? Math.floor(Date.now() / 1000);
+  const effectiveModel = overrides?.model ?? model;
   const chunks: SSEChunk[] = [];
+  const fingerprint = overrides?.systemFingerprint;
+
+  // Reasoning chunks (emitted before content, OpenRouter format)
+  if (reasoning) {
+    for (let i = 0; i < reasoning.length; i += chunkSize) {
+      const slice = reasoning.slice(i, i + chunkSize);
+      chunks.push({
+        id,
+        object: "chat.completion.chunk",
+        created,
+        model: effectiveModel,
+        choices: [{ index: 0, delta: { reasoning_content: slice }, finish_reason: null }],
+        ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
+      });
+    }
+  }
 
   // Role chunk
   chunks.push({
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: { role: "assistant", content: "" }, finish_reason: null }],
+    model: effectiveModel,
+    choices: [
+      {
+        index: 0,
+        delta: { role: overrides?.role ?? "assistant", content: "" },
+        finish_reason: null,
+      },
+    ],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   // Content chunks
@@ -323,8 +424,9 @@ export function buildContentWithToolCallsChunks(
       id,
       object: "chat.completion.chunk",
       created,
-      model,
+      model: effectiveModel,
       choices: [{ index: 0, delta: { content: slice }, finish_reason: null }],
+      ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
     });
   }
 
@@ -338,7 +440,7 @@ export function buildContentWithToolCallsChunks(
       id,
       object: "chat.completion.chunk",
       created,
-      model,
+      model: effectiveModel,
       choices: [
         {
           index: 0,
@@ -355,6 +457,7 @@ export function buildContentWithToolCallsChunks(
           finish_reason: null,
         },
       ],
+      ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
     });
 
     // Argument streaming chunks
@@ -365,7 +468,7 @@ export function buildContentWithToolCallsChunks(
         id,
         object: "chat.completion.chunk",
         created,
-        model,
+        model: effectiveModel,
         choices: [
           {
             index: 0,
@@ -375,6 +478,7 @@ export function buildContentWithToolCallsChunks(
             finish_reason: null,
           },
         ],
+        ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
       });
     }
   }
@@ -384,8 +488,9 @@ export function buildContentWithToolCallsChunks(
     id,
     object: "chat.completion.chunk",
     created,
-    model,
-    choices: [{ index: 0, delta: {}, finish_reason: "tool_calls" }],
+    model: effectiveModel,
+    choices: [{ index: 0, delta: {}, finish_reason: overrides?.finishReason ?? "tool_calls" }],
+    ...(fingerprint !== undefined && { system_fingerprint: fingerprint }),
   });
 
   return chunks;
@@ -395,29 +500,44 @@ export function buildContentWithToolCallsCompletion(
   content: string,
   toolCalls: ToolCall[],
   model: string,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
 ): ChatCompletion {
+  const defaultUsage = { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 };
   return {
-    id: generateId(),
+    id: overrides?.id ?? generateId(),
     object: "chat.completion",
-    created: Math.floor(Date.now() / 1000),
-    model,
+    created: overrides?.created ?? Math.floor(Date.now() / 1000),
+    model: overrides?.model ?? model,
     choices: [
       {
         index: 0,
         message: {
-          role: "assistant",
+          role: overrides?.role ?? "assistant",
           content,
           refusal: null,
+          ...(reasoning ? { reasoning_content: reasoning } : {}),
           tool_calls: toolCalls.map((tc) => ({
             id: tc.id || generateToolCallId(),
             type: "function" as const,
             function: { name: tc.name, arguments: tc.arguments },
           })),
         },
-        finish_reason: "tool_calls",
+        finish_reason: overrides?.finishReason ?? "tool_calls",
       },
     ],
-    usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+    usage: overrides?.usage
+      ? {
+          prompt_tokens: overrides.usage.prompt_tokens ?? defaultUsage.prompt_tokens,
+          completion_tokens: overrides.usage.completion_tokens ?? defaultUsage.completion_tokens,
+          total_tokens:
+            overrides.usage.total_tokens ??
+            (overrides.usage.prompt_tokens ?? 0) + (overrides.usage.completion_tokens ?? 0),
+        }
+      : defaultUsage,
+    ...(overrides?.systemFingerprint !== undefined && {
+      system_fingerprint: overrides.systemFingerprint,
+    }),
   };
 }
 
diff --git a/src/index.ts b/src/index.ts
index 4cb0cfb..e69602d 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -5,7 +5,12 @@ export { LLMock } from "./llmock.js";
 export { createServer, type ServerInstance } from "./server.js";
 
 // Fixture loading
-export { loadFixtureFile, loadFixturesFromDir, validateFixtures } from "./fixture-loader.js";
+export {
+  loadFixtureFile,
+  loadFixturesFromDir,
+  validateFixtures,
+  normalizeResponse,
+} from "./fixture-loader.js";
 export type { ValidationResult } from "./fixture-loader.js";
 
 // Logger
@@ -85,6 +90,15 @@ export {
   generateToolUseId,
   buildTextChunks,
   buildToolCallChunks,
+  buildContentWithToolCallsChunks,
+  buildTextCompletion,
+  buildToolCallCompletion,
+  buildContentWithToolCallsCompletion,
+  extractOverrides,
+  isTextResponse,
+  isToolCallResponse,
+  isContentWithToolCallsResponse,
+  isErrorResponse,
   isEmbeddingResponse,
   isImageResponse,
   isAudioResponse,
@@ -265,4 +279,11 @@ export type {
   AudioResponse,
   TranscriptionResponse,
   VideoResponse,
+  ResponseOverrides,
+  ContentWithToolCallsResponse,
+  FixtureFileResponse,
+  FixtureFileToolCall,
+  FixtureFileTextResponse,
+  FixtureFileToolCallResponse,
+  FixtureFileContentWithToolCallsResponse,
 } from "./types.js";
diff --git a/src/llmock.ts b/src/llmock.ts
index 973be71..a5c8dac 100644
--- a/src/llmock.ts
+++ b/src/llmock.ts
@@ -4,6 +4,7 @@ import type {
   EmbeddingFixtureOpts,
   Fixture,
   FixtureFileEntry,
+  FixtureFileResponse,
   FixtureMatch,
   FixtureOpts,
   FixtureResponse,
@@ -19,6 +20,7 @@ import {
   loadFixtureFile,
   loadFixturesFromDir,
   entryToFixture,
+  normalizeResponse,
   validateFixtures,
 } from "./fixture-loader.js";
 import { Journal } from "./journal.js";
@@ -95,21 +97,21 @@ export class LLMock {
 
   // ---- Convenience ----
 
-  on(match: FixtureMatch, response: FixtureResponse, opts?: FixtureOpts): this {
+  on(match: FixtureMatch, response: FixtureFileResponse, opts?: FixtureOpts): this {
     return this.addFixture({
       match,
-      response,
+      response: normalizeResponse(response),
       ...opts,
     });
   }
 
-  onMessage(pattern: string | RegExp, response: FixtureResponse, opts?: FixtureOpts): this {
+  onMessage(pattern: string | RegExp, response: FixtureFileResponse, opts?: FixtureOpts): this {
     return this.on({ userMessage: pattern }, response, opts);
   }
 
   onEmbedding(
     pattern: string | RegExp,
-    response: FixtureResponse,
+    response: FixtureFileResponse,
     opts?: EmbeddingFixtureOpts,
   ): this {
     return this.on({ inputText: pattern }, response, opts);
@@ -120,11 +122,11 @@ export class LLMock {
     return this.on({ userMessage: pattern, responseFormat: "json_object" }, { content }, opts);
   }
 
-  onToolCall(name: string, response: FixtureResponse, opts?: FixtureOpts): this {
+  onToolCall(name: string, response: FixtureFileResponse, opts?: FixtureOpts): this {
     return this.on({ toolName: name }, response, opts);
   }
 
-  onToolResult(id: string, response: FixtureResponse, opts?: FixtureOpts): this {
+  onToolResult(id: string, response: FixtureFileResponse, opts?: FixtureOpts): this {
     return this.on({ toolCallId: id }, response, opts);
   }
 
diff --git a/src/messages.ts b/src/messages.ts
index c58d85a..0ed2e91 100644
--- a/src/messages.ts
+++ b/src/messages.ts
@@ -12,6 +12,7 @@ import type {
   ChatMessage,
   Fixture,
   HandlerDefaults,
+  ResponseOverrides,
   StreamingProfile,
   ToolCall,
   ToolDefinition,
@@ -19,6 +20,7 @@ import type {
 import {
   generateMessageId,
   generateToolUseId,
+  extractOverrides,
   isTextResponse,
   isToolCallResponse,
   isContentWithToolCallsResponse,
@@ -191,6 +193,25 @@ export function claudeToCompletionRequest(req: ClaudeRequest): ChatCompletionReq
 
 // ─── Response building: fixture → Claude Messages API format ────────────────
 
+function claudeStopReason(finishReason: string | undefined, defaultReason: string): string {
+  if (!finishReason) return defaultReason;
+  if (finishReason === "stop") return "end_turn";
+  if (finishReason === "tool_calls") return "tool_use";
+  if (finishReason === "length") return "max_tokens";
+  return finishReason;
+}
+
+function claudeUsage(overrides?: ResponseOverrides): {
+  input_tokens: number;
+  output_tokens: number;
+} {
+  if (!overrides?.usage) return { input_tokens: 0, output_tokens: 0 };
+  return {
+    input_tokens: overrides.usage.input_tokens ?? 0,
+    output_tokens: overrides.usage.output_tokens ?? 0,
+  };
+}
+
 interface ClaudeSSEEvent {
   type: string;
   [key: string]: unknown;
@@ -201,8 +222,10 @@ function buildClaudeTextStreamEvents(
   model: string,
   chunkSize: number,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): ClaudeSSEEvent[] {
-  const msgId = generateMessageId();
+  const msgId = overrides?.id ?? generateMessageId();
+  const effectiveModel = overrides?.model ?? model;
   const events: ClaudeSSEEvent[] = [];
 
   // message_start
@@ -211,12 +234,12 @@ function buildClaudeTextStreamEvents(
     message: {
       id: msgId,
       type: "message",
-      role: "assistant",
+      role: overrides?.role ?? "assistant",
       content: [],
-      model,
+      model: effectiveModel,
       stop_reason: null,
       stop_sequence: null,
-      usage: { input_tokens: 0, output_tokens: 0 },
+      usage: claudeUsage(overrides),
     },
   });
 
@@ -273,8 +296,11 @@ function buildClaudeTextStreamEvents(
   // message_delta
   events.push({
     type: "message_delta",
-    delta: { stop_reason: "end_turn", stop_sequence: null },
-    usage: { output_tokens: 0 },
+    delta: {
+      stop_reason: claudeStopReason(overrides?.finishReason, "end_turn"),
+      stop_sequence: null,
+    },
+    usage: { output_tokens: claudeUsage(overrides).output_tokens },
   });
 
   // message_stop
@@ -288,8 +314,10 @@ function buildClaudeToolCallStreamEvents(
   model: string,
   chunkSize: number,
   logger: Logger,
+  overrides?: ResponseOverrides,
 ): ClaudeSSEEvent[] {
-  const msgId = generateMessageId();
+  const msgId = overrides?.id ?? generateMessageId();
+  const effectiveModel = overrides?.model ?? model;
   const events: ClaudeSSEEvent[] = [];
 
   // message_start
@@ -298,12 +326,12 @@ function buildClaudeToolCallStreamEvents(
     message: {
       id: msgId,
       type: "message",
-      role: "assistant",
+      role: overrides?.role ?? "assistant",
       content: [],
-      model,
+      model: effectiveModel,
       stop_reason: null,
       stop_sequence: null,
-      usage: { input_tokens: 0, output_tokens: 0 },
+      usage: claudeUsage(overrides),
     },
   });
 
@@ -355,8 +383,11 @@ function buildClaudeToolCallStreamEvents(
   // message_delta
   events.push({
     type: "message_delta",
-    delta: { stop_reason: "tool_use", stop_sequence: null },
-    usage: { output_tokens: 0 },
+    delta: {
+      stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"),
+      stop_sequence: null,
+    },
+    usage: { output_tokens: claudeUsage(overrides).output_tokens },
   });
 
   // message_stop
@@ -367,7 +398,12 @@ function buildClaudeToolCallStreamEvents(
 
 // Non-streaming response builders
 
-function buildClaudeTextResponse(content: string, model: string, reasoning?: string): object {
+function buildClaudeTextResponse(
+  content: string,
+  model: string,
+  reasoning?: string,
+  overrides?: ResponseOverrides,
+): object {
   const contentBlocks: object[] = [];
 
   if (reasoning) {
@@ -377,22 +413,27 @@ function buildClaudeTextResponse(content: string, model: string, reasoning?: str
   contentBlocks.push({ type: "text", text: content });
 
   return {
-    id: generateMessageId(),
+    id: overrides?.id ?? generateMessageId(),
     type: "message",
-    role: "assistant",
+    role: overrides?.role ?? "assistant",
     content: contentBlocks,
-    model,
-    stop_reason: "end_turn",
+    model: overrides?.model ?? model,
+    stop_reason: claudeStopReason(overrides?.finishReason, "end_turn"),
     stop_sequence: null,
-    usage: { input_tokens: 0, output_tokens: 0 },
+    usage: claudeUsage(overrides),
   };
 }
 
-function buildClaudeToolCallResponse(toolCalls: ToolCall[], model: string, logger: Logger): object {
+function buildClaudeToolCallResponse(
+  toolCalls: ToolCall[],
+  model: string,
+  logger: Logger,
+  overrides?: ResponseOverrides,
+): object {
   return {
-    id: generateMessageId(),
+    id: overrides?.id ?? generateMessageId(),
     type: "message",
-    role: "assistant",
+    role: overrides?.role ?? "assistant",
     content: toolCalls.map((tc) => {
       let argsObj: unknown;
       try {
@@ -410,10 +451,10 @@ function buildClaudeToolCallResponse(toolCalls: ToolCall[], model: string, logge
         input: argsObj,
       };
     }),
-    model,
-    stop_reason: "tool_use",
+    model: overrides?.model ?? model,
+    stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"),
     stop_sequence: null,
-    usage: { input_tokens: 0, output_tokens: 0 },
+    usage: claudeUsage(overrides),
   };
 }
 
@@ -424,8 +465,10 @@ function buildClaudeContentWithToolCallsStreamEvents(
   chunkSize: number,
   logger: Logger,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): ClaudeSSEEvent[] {
-  const msgId = generateMessageId();
+  const msgId = overrides?.id ?? generateMessageId();
+  const effectiveModel = overrides?.model ?? model;
   const events: ClaudeSSEEvent[] = [];
 
   // message_start
@@ -434,12 +477,12 @@ function buildClaudeContentWithToolCallsStreamEvents(
     message: {
       id: msgId,
       type: "message",
-      role: "assistant",
+      role: overrides?.role ?? "assistant",
       content: [],
-      model,
+      model: effectiveModel,
       stop_reason: null,
       stop_sequence: null,
-      usage: { input_tokens: 0, output_tokens: 0 },
+      usage: claudeUsage(overrides),
     },
   });
 
@@ -539,8 +582,11 @@ function buildClaudeContentWithToolCallsStreamEvents(
   // message_delta
   events.push({
     type: "message_delta",
-    delta: { stop_reason: "tool_use", stop_sequence: null },
-    usage: { output_tokens: 0 },
+    delta: {
+      stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"),
+      stop_sequence: null,
+    },
+    usage: { output_tokens: claudeUsage(overrides).output_tokens },
   });
 
   // message_stop
@@ -555,6 +601,7 @@ function buildClaudeContentWithToolCallsResponse(
   model: string,
   logger: Logger,
   reasoning?: string,
+  overrides?: ResponseOverrides,
 ): object {
   const contentBlocks: object[] = [];
 
@@ -583,14 +630,14 @@ function buildClaudeContentWithToolCallsResponse(
   }
 
   return {
-    id: generateMessageId(),
+    id: overrides?.id ?? generateMessageId(),
     type: "message",
-    role: "assistant",
+    role: overrides?.role ?? "assistant",
     content: contentBlocks,
-    model,
-    stop_reason: "tool_use",
+    model: overrides?.model ?? model,
+    stop_reason: claudeStopReason(overrides?.finishReason, "tool_use"),
     stop_sequence: null,
-    usage: { input_tokens: 0, output_tokens: 0 },
+    usage: claudeUsage(overrides),
   };
 }
 
@@ -791,6 +838,12 @@ export async function handleMessages(
 
   // Content + tool calls response (must be checked before text/tool-only branches)
   if (isContentWithToolCallsResponse(response)) {
+    if (response.webSearches?.length) {
+      logger.warn(
+        "webSearches in fixture response are not supported for Claude Messages API — ignoring",
+      );
+    }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/messages",
@@ -805,6 +858,7 @@ export async function handleMessages(
         completionReq.model,
         logger,
         response.reasoning,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
@@ -816,6 +870,7 @@ export async function handleMessages(
         chunkSize,
         logger,
         response.reasoning,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeClaudeSSEStream(res, events, {
@@ -841,6 +896,7 @@ export async function handleMessages(
         "webSearches in fixture response are not supported for Claude Messages API — ignoring",
       );
     }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/messages",
@@ -853,6 +909,7 @@ export async function handleMessages(
         response.content,
         completionReq.model,
         response.reasoning,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
@@ -862,6 +919,7 @@ export async function handleMessages(
         completionReq.model,
         chunkSize,
         response.reasoning,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeClaudeSSEStream(res, events, {
@@ -882,6 +940,7 @@ export async function handleMessages(
 
   // Tool call response
   if (isToolCallResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/messages",
@@ -890,7 +949,12 @@ export async function handleMessages(
       response: { status: 200, fixture },
     });
     if (claudeReq.stream !== true) {
-      const body = buildClaudeToolCallResponse(response.toolCalls, completionReq.model, logger);
+      const body = buildClaudeToolCallResponse(
+        response.toolCalls,
+        completionReq.model,
+        logger,
+        overrides,
+      );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
     } else {
@@ -899,6 +963,7 @@ export async function handleMessages(
         completionReq.model,
         chunkSize,
         logger,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeClaudeSSEStream(res, events, {
diff --git a/src/responses.ts b/src/responses.ts
index 7d6946e..72f6ec5 100644
--- a/src/responses.ts
+++ b/src/responses.ts
@@ -12,6 +12,7 @@ import type {
   ChatMessage,
   Fixture,
   HandlerDefaults,
+  ResponseOverrides,
   StreamingProfile,
   ToolCall,
   ToolDefinition,
@@ -19,6 +20,7 @@ import type {
 import {
   generateId,
   generateToolCallId,
+  extractOverrides,
   isTextResponse,
   isToolCallResponse,
   isContentWithToolCallsResponse,
@@ -148,6 +150,30 @@ export function responsesToCompletionRequest(req: ResponsesRequest): ChatComplet
 
 // ─── Response building: fixture → Responses API format ──────────────────────
 
+function responsesStatus(finishReason: string | undefined, defaultStatus: string): string {
+  if (!finishReason) return defaultStatus;
+  if (finishReason === "stop") return "completed";
+  if (finishReason === "tool_calls") return "completed";
+  if (finishReason === "length") return "incomplete";
+  if (finishReason === "content_filter") return "failed";
+  return finishReason;
+}
+
+function responsesUsage(overrides?: ResponseOverrides): {
+  input_tokens: number;
+  output_tokens: number;
+  total_tokens: number;
+} {
+  if (!overrides?.usage) return { input_tokens: 0, output_tokens: 0, total_tokens: 0 };
+  return {
+    input_tokens: overrides.usage.input_tokens ?? 0,
+    output_tokens: overrides.usage.output_tokens ?? 0,
+    total_tokens:
+      overrides.usage.total_tokens ??
+      (overrides.usage.input_tokens ?? 0) + (overrides.usage.output_tokens ?? 0),
+  };
+}
+
 function responseId(): string {
   return generateId("resp");
 }
@@ -169,12 +195,14 @@ export function buildTextStreamEvents(
   chunkSize: number,
   reasoning?: string,
   webSearches?: string[],
+  overrides?: ResponseOverrides,
 ): ResponsesSSEEvent[] {
   const { respId, created, events, prefixOutputItems, nextOutputIndex } = buildResponsePreamble(
     model,
     chunkSize,
     reasoning,
     webSearches,
+    overrides,
   );
 
   const { events: msgEvents, msgItem } = buildMessageOutputEvents(
@@ -190,10 +218,10 @@ export function buildTextStreamEvents(
       id: respId,
       object: "response",
       created_at: created,
-      model,
-      status: "completed",
+      model: overrides?.model ?? model,
+      status: responsesStatus(overrides?.finishReason, "completed"),
       output: [...prefixOutputItems, msgItem],
-      usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 },
+      usage: responsesUsage(overrides),
     },
   });
 
@@ -204,9 +232,11 @@ export function buildToolCallStreamEvents(
   toolCalls: ToolCall[],
   model: string,
   chunkSize: number,
+  overrides?: ResponseOverrides,
 ): ResponsesSSEEvent[] {
-  const respId = responseId();
-  const created = Math.floor(Date.now() / 1000);
+  const respId = overrides?.id ?? responseId();
+  const created = overrides?.created ?? Math.floor(Date.now() / 1000);
+  const effectiveModel = overrides?.model ?? model;
   const events: ResponsesSSEEvent[] = [];
 
   // response.created
@@ -216,7 +246,7 @@ export function buildToolCallStreamEvents(
       id: respId,
       object: "response",
       created_at: created,
-      model,
+      model: effectiveModel,
       status: "in_progress",
       output: [],
     },
@@ -228,7 +258,7 @@ export function buildToolCallStreamEvents(
       id: respId,
       object: "response",
       created_at: created,
-      model,
+      model: effectiveModel,
       status: "in_progress",
       output: [],
     },
@@ -300,14 +330,10 @@ export function buildToolCallStreamEvents(
       id: respId,
       object: "response",
       created_at: created,
-      model,
-      status: "completed",
+      model: effectiveModel,
+      status: responsesStatus(overrides?.finishReason, "completed"),
       output: outputItems,
-      usage: {
-        input_tokens: 0,
-        output_tokens: 0,
-        total_tokens: 0,
-      },
+      usage: responsesUsage(overrides),
     },
   });
 
@@ -428,9 +454,11 @@ function buildResponsePreamble(
   chunkSize: number,
   reasoning?: string,
   webSearches?: string[],
+  overrides?: ResponseOverrides,
 ): PreambleResult {
-  const respId = responseId();
-  const created = Math.floor(Date.now() / 1000);
+  const respId = overrides?.id ?? responseId();
+  const created = overrides?.created ?? Math.floor(Date.now() / 1000);
+  const effectiveModel = overrides?.model ?? model;
   const events: ResponsesSSEEvent[] = [];
   const prefixOutputItems: object[] = [];
   let nextOutputIndex = 0;
@@ -441,7 +469,7 @@ function buildResponsePreamble(
       id: respId,
       object: "response",
       created_at: created,
-      model,
+      model: effectiveModel,
       status: "in_progress",
       output: [],
     },
@@ -452,7 +480,7 @@ function buildResponsePreamble(
       id: respId,
       object: "response",
       created_at: created,
-      model,
+      model: effectiveModel,
       status: "in_progress",
       output: [],
     },
@@ -581,15 +609,19 @@ function buildOutputPrefix(content: string, reasoning?: string, webSearches?: st
   return output;
 }
 
-function buildResponseEnvelope(model: string, output: object[]): object {
+function buildResponseEnvelope(
+  model: string,
+  output: object[],
+  overrides?: ResponseOverrides,
+): object {
   return {
-    id: responseId(),
+    id: overrides?.id ?? responseId(),
     object: "response",
-    created_at: Math.floor(Date.now() / 1000),
-    model,
-    status: "completed",
+    created_at: overrides?.created ?? Math.floor(Date.now() / 1000),
+    model: overrides?.model ?? model,
+    status: responsesStatus(overrides?.finishReason, "completed"),
     output,
-    usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 },
+    usage: responsesUsage(overrides),
   };
 }
 
@@ -598,11 +630,20 @@ function buildTextResponse(
   model: string,
   reasoning?: string,
   webSearches?: string[],
+  overrides?: ResponseOverrides,
 ): object {
-  return buildResponseEnvelope(model, buildOutputPrefix(content, reasoning, webSearches));
+  return buildResponseEnvelope(
+    model,
+    buildOutputPrefix(content, reasoning, webSearches),
+    overrides,
+  );
 }
 
-function buildToolCallResponse(toolCalls: ToolCall[], model: string): object {
+function buildToolCallResponse(
+  toolCalls: ToolCall[],
+  model: string,
+  overrides?: ResponseOverrides,
+): object {
   return buildResponseEnvelope(
     model,
     toolCalls.map((tc) => ({
@@ -613,6 +654,7 @@ function buildToolCallResponse(toolCalls: ToolCall[], model: string): object {
       arguments: tc.arguments,
       status: "completed",
     })),
+    overrides,
   );
 }
 
@@ -623,12 +665,14 @@ export function buildContentWithToolCallsStreamEvents(
   chunkSize: number,
   reasoning?: string,
   webSearches?: string[],
+  overrides?: ResponseOverrides,
 ): ResponsesSSEEvent[] {
   const { respId, created, events, prefixOutputItems, nextOutputIndex } = buildResponsePreamble(
     model,
     chunkSize,
     reasoning,
     webSearches,
+    overrides,
   );
 
   const { events: msgEvents, msgItem } = buildMessageOutputEvents(
@@ -692,10 +736,10 @@ export function buildContentWithToolCallsStreamEvents(
       id: respId,
       object: "response",
       created_at: created,
-      model,
-      status: "completed",
+      model: overrides?.model ?? model,
+      status: responsesStatus(overrides?.finishReason, "completed"),
       output: [...prefixOutputItems, msgItem, ...fcOutputItems],
-      usage: { input_tokens: 0, output_tokens: 0, total_tokens: 0 },
+      usage: responsesUsage(overrides),
     },
   });
 
@@ -708,6 +752,7 @@ function buildContentWithToolCallsResponse(
   model: string,
   reasoning?: string,
   webSearches?: string[],
+  overrides?: ResponseOverrides,
 ): object {
   const output = buildOutputPrefix(content, reasoning, webSearches);
   for (const tc of toolCalls) {
@@ -720,7 +765,7 @@ function buildContentWithToolCallsResponse(
       status: "completed",
     });
   }
-  return buildResponseEnvelope(model, output);
+  return buildResponseEnvelope(model, output, overrides);
 }
 
 // ─── SSE writer for Responses API ───────────────────────────────────────────
@@ -909,6 +954,7 @@ export async function handleResponses(
 
   // Combined content + tool calls response
   if (isContentWithToolCallsResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/responses",
@@ -923,6 +969,7 @@ export async function handleResponses(
         completionReq.model,
         response.reasoning,
         response.webSearches,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
@@ -934,6 +981,7 @@ export async function handleResponses(
         chunkSize,
         response.reasoning,
         response.webSearches,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeResponsesSSEStream(res, events, {
@@ -954,6 +1002,7 @@ export async function handleResponses(
 
   // Text response
   if (isTextResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/responses",
@@ -967,6 +1016,7 @@ export async function handleResponses(
         completionReq.model,
         response.reasoning,
         response.webSearches,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
@@ -977,6 +1027,7 @@ export async function handleResponses(
         chunkSize,
         response.reasoning,
         response.webSearches,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeResponsesSSEStream(res, events, {
@@ -997,6 +1048,7 @@ export async function handleResponses(
 
   // Tool call response
   if (isToolCallResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? "/v1/responses",
@@ -1005,11 +1057,16 @@ export async function handleResponses(
       response: { status: 200, fixture },
     });
     if (responsesReq.stream !== true) {
-      const body = buildToolCallResponse(response.toolCalls, completionReq.model);
+      const body = buildToolCallResponse(response.toolCalls, completionReq.model, overrides);
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(body));
     } else {
-      const events = buildToolCallStreamEvents(response.toolCalls, completionReq.model, chunkSize);
+      const events = buildToolCallStreamEvents(
+        response.toolCalls,
+        completionReq.model,
+        chunkSize,
+        overrides,
+      );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeResponsesSSEStream(res, events, {
         latency,
diff --git a/src/server.ts b/src/server.ts
index 2337a2b..07083fe 100644
--- a/src/server.ts
+++ b/src/server.ts
@@ -20,6 +20,7 @@ import {
   buildToolCallCompletion,
   buildContentWithToolCallsChunks,
   buildContentWithToolCallsCompletion,
+  extractOverrides,
   isTextResponse,
   isToolCallResponse,
   isContentWithToolCallsResponse,
@@ -510,6 +511,12 @@ async function handleCompletions(
 
   // Content + tool calls response
   if (isContentWithToolCallsResponse(response)) {
+    if (response.webSearches?.length) {
+      defaults.logger.warn(
+        "webSearches in fixture response are not supported for Chat Completions API — ignoring",
+      );
+    }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? COMPLETIONS_PATH,
@@ -522,6 +529,8 @@ async function handleCompletions(
         response.content,
         response.toolCalls,
         body.model,
+        response.reasoning,
+        overrides,
       );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(completion));
@@ -531,6 +540,8 @@ async function handleCompletions(
         response.toolCalls,
         body.model,
         chunkSize,
+        response.reasoning,
+        overrides,
       );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeSSEStream(res, chunks, {
@@ -551,6 +562,12 @@ async function handleCompletions(
 
   // Text response
   if (isTextResponse(response)) {
+    if (response.webSearches?.length) {
+      defaults.logger.warn(
+        "webSearches in fixture response are not supported for Chat Completions API — ignoring",
+      );
+    }
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? COMPLETIONS_PATH,
@@ -559,11 +576,22 @@ async function handleCompletions(
       response: { status: 200, fixture },
     });
     if (body.stream !== true) {
-      const completion = buildTextCompletion(response.content, body.model, response.reasoning);
+      const completion = buildTextCompletion(
+        response.content,
+        body.model,
+        response.reasoning,
+        overrides,
+      );
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(completion));
     } else {
-      const chunks = buildTextChunks(response.content, body.model, chunkSize, response.reasoning);
+      const chunks = buildTextChunks(
+        response.content,
+        body.model,
+        chunkSize,
+        response.reasoning,
+        overrides,
+      );
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeSSEStream(res, chunks, {
         latency,
@@ -583,6 +611,7 @@ async function handleCompletions(
 
   // Tool call response
   if (isToolCallResponse(response)) {
+    const overrides = extractOverrides(response);
     const journalEntry = journal.add({
       method: req.method ?? "POST",
       path: req.url ?? COMPLETIONS_PATH,
@@ -591,11 +620,11 @@ async function handleCompletions(
       response: { status: 200, fixture },
     });
     if (body.stream !== true) {
-      const completion = buildToolCallCompletion(response.toolCalls, body.model);
+      const completion = buildToolCallCompletion(response.toolCalls, body.model, overrides);
       res.writeHead(200, { "Content-Type": "application/json" });
       res.end(JSON.stringify(completion));
     } else {
-      const chunks = buildToolCallChunks(response.toolCalls, body.model, chunkSize);
+      const chunks = buildToolCallChunks(response.toolCalls, body.model, chunkSize, overrides);
       const interruption = createInterruptionSignal(fixture);
       const completed = await writeSSEStream(res, chunks, {
         latency,
diff --git a/src/stream-collapse.ts b/src/stream-collapse.ts
index c50e87c..31bad19 100644
--- a/src/stream-collapse.ts
+++ b/src/stream-collapse.ts
@@ -15,9 +15,6 @@ import type { Logger } from "./logger.js";
 // Result type shared by all collapse functions
 // ---------------------------------------------------------------------------
 
-// TODO: Consider making this a discriminated union ({ type: "text"; content: string }
-// | { type: "toolCalls"; toolCalls: ToolCall[] } | { type: "empty" }) to prevent
-// ambiguous results and simplify downstream consumers.
 export interface CollapseResult {
   content?: string;
   reasoning?: string;
diff --git a/src/types.ts b/src/types.ts
index 4d8a3f4..488a0c9 100644
--- a/src/types.ts
+++ b/src/types.ts
@@ -77,12 +77,44 @@ export interface FixtureMatch {
 
 // Fixture response types
 
-export interface TextResponse {
+/**
+ * Fields that override auto-generated envelope values in the built response.
+ * Scalar fields (finishReason, role) use OpenAI-canonical values — provider
+ * handlers translate automatically. For usage, provide field names native to
+ * your target provider (OpenAI Chat: prompt_tokens, completion_tokens;
+ * Responses API: input_tokens, output_tokens; Anthropic: input_tokens,
+ * output_tokens; Gemini: promptTokenCount, candidatesTokenCount).
+ *
+ * When total_tokens (or provider equivalent) is omitted, it is auto-computed
+ * from the component fields.
+ *
+ * Provider support: OpenAI Chat (all 7), Responses API (5: no role,
+ * systemFingerprint), Claude (5: no created, systemFingerprint),
+ * Gemini (2: only finishReason, usage).
+ */
+export interface ResponseOverrides {
+  id?: string;
+  created?: number;
+  model?: string;
+  usage?: {
+    prompt_tokens?: number;
+    completion_tokens?: number;
+    total_tokens?: number;
+    input_tokens?: number;
+    output_tokens?: number;
+    promptTokenCount?: number;
+    candidatesTokenCount?: number;
+    totalTokenCount?: number;
+  };
+  systemFingerprint?: string;
+  finishReason?: string;
+  role?: string;
+}
+
+export interface TextResponse extends ResponseOverrides {
   content: string;
   reasoning?: string;
   webSearches?: string[];
-  role?: string;
-  finishReason?: string;
 }
 
 export interface ToolCall {
@@ -91,18 +123,15 @@ export interface ToolCall {
   id?: string;
 }
 
-export interface ToolCallResponse {
+export interface ToolCallResponse extends ResponseOverrides {
   toolCalls: ToolCall[];
-  finishReason?: string;
 }
 
-export interface ContentWithToolCallsResponse {
+export interface ContentWithToolCallsResponse extends ResponseOverrides {
   content: string;
   toolCalls: ToolCall[];
   reasoning?: string;
   webSearches?: string[];
-  role?: string;
-  finishReason?: string;
 }
 
 export interface ErrorResponse {
@@ -192,6 +221,48 @@ export type FixtureOpts = Omit<Fixture, "match" | "response">;
 export type EmbeddingFixtureOpts = Pick<FixtureOpts, "latency" | "chaos">;
 
 // Fixture file format (JSON on disk)
+//
+// File-entry types are intentionally relaxed compared to their runtime
+// counterparts so that fixture authors can write JSON objects where the
+// API ultimately expects a JSON *string*.  The fixture loader auto-
+// stringifies these before building the runtime Fixture.
+
+export interface FixtureFileToolCall {
+  name: string;
+  /** Accepts a JSON object or array for convenience — the loader will JSON.stringify it. */
+  arguments: string | Record<string, unknown> | unknown[];
+  id?: string;
+}
+
+export interface FixtureFileToolCallResponse extends ResponseOverrides {
+  toolCalls: FixtureFileToolCall[];
+}
+
+export interface FixtureFileTextResponse extends ResponseOverrides {
+  /** Accepts a JSON object or array (structured output) — the loader will JSON.stringify it. */
+  content: string | Record<string, unknown> | unknown[];
+  reasoning?: string;
+  webSearches?: string[];
+}
+
+export interface FixtureFileContentWithToolCallsResponse extends ResponseOverrides {
+  /** Accepts a JSON object or array (structured output) — the loader will JSON.stringify it. */
+  content: string | Record<string, unknown> | unknown[];
+  toolCalls: FixtureFileToolCall[];
+  reasoning?: string;
+  webSearches?: string[];
+}
+
+export type FixtureFileResponse =
+  | FixtureFileTextResponse
+  | FixtureFileToolCallResponse
+  | FixtureFileContentWithToolCallsResponse
+  | ErrorResponse
+  | EmbeddingResponse
+  | ImageResponse
+  | AudioResponse
+  | TranscriptionResponse
+  | VideoResponse;
 
 export interface FixtureFile {
   fixtures: FixtureFileEntry[];
@@ -209,7 +280,7 @@ export interface FixtureFileEntry {
     endpoint?: "chat" | "image" | "speech" | "transcription" | "video" | "embedding";
     // predicate not supported in JSON files
   };
-  response: FixtureResponse;
+  response: FixtureFileResponse;
   latency?: number;
   chunkSize?: number;
   truncateAfterChunks?: number;
@@ -245,6 +316,7 @@ export interface SSEChunk {
   created: number;
   model: string;
   choices: SSEChoice[];
+  system_fingerprint?: string;
 }
 
 export interface SSEChoice {
@@ -276,6 +348,7 @@ export interface ChatCompletion {
   model: string;
   choices: ChatCompletionChoice[];
   usage: { prompt_tokens: number; completion_tokens: number; total_tokens: number };
+  system_fingerprint?: string;
 }
 
 export interface ChatCompletionChoice {
@@ -285,7 +358,7 @@ export interface ChatCompletionChoice {
 }
 
 export interface ChatCompletionMessage {
-  role: "assistant";
+  role: string;
   content: string | null;
   refusal: string | null;
   reasoning_content?: string;