diff --git a/CHANGELOG.md b/CHANGELOG.md
index 57307701a8..3b7814aea4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -21,6 +21,7 @@
 
 ### 🐛 Bug Fixes
 
+- **fix(translator):** preserve a Gemini `functionResponse` co-located with other parts (another `functionCall`, or trailing `text`) in the same content when translating **Gemini → OpenAI**. `convertGeminiContent()` early-returned the tool message on the first `functionResponse` part, dropping any co-located parts; such contents are now pre-split (one tool message per `functionResponse`, emitted first, plus one message for the remaining parts). Regression guard: `tests/unit/gemini-to-openai-function-response.test.ts`. (thanks @warelik)
 - **fix(headroom):** detect a python interpreter managed by **mise / pyenv / asdf / conda**. Headroom's python probe (`src/lib/headroom/detect.ts`) searched a hardcoded `PATH`, but version managers expose their interpreters via shim dirs that only join `PATH` through interactive-shell activation — which the non-interactive server never runs, so a managed python (≥3.10) was invisible and Headroom reported it missing. The search path now prepends the well-known shim/bin dirs (`~/.local/share/mise/shims`, `~/.pyenv/shims`, `~/.asdf/shims`, `$CONDA_PREFIX/bin`, `~/.local/bin`, respecting `MISE_DATA_DIR`/`PYENV_ROOT`/`ASDF_DATA_DIR` when set), and a new `HEADROOM_PYTHON` env override lets operators point straight at their interpreter (mirroring `HEADROOM_URL`). Still shell-free (`execFileSync`). Regression guard: `tests/unit/headroom-detect.test.ts` (5). (thanks @loopyd)
 - **fix(executors):** strip the OpenAI-Codex/Claude-CLI `client_metadata` passthrough field for **NVIDIA** requests. NVIDIA's OpenAI-compatible wrapper rejects it with `400 Unsupported parameter`, the same class already handled for `cerebras`/`mistral`; `nvidia` (executor `default`) was missing from the strip allowlist so Codex/Claude-Code passthrough requests 400'd. Regression guard: `tests/unit/executor-default-strip-client-metadata.test.ts` (+nvidia case). (thanks @phidinhmanh)
 - **fix(translator):** strip the Claude-style `thinking` field for **NVIDIA `z-ai/glm-5.2`**. NVIDIA's OpenAI-compatible wrapper 400s on `thinking` (a Claude-format client routed here leaves a `thinking:{type:"adaptive"}`); the existing strip rule only dropped `reasoning`. Same class already handled for `minimax-m2.7`. Regression guard: `tests/unit/nvidia-minimax-thinking-strip.test.ts` (+glm-5.2 case). (thanks @phidinhmanh)
diff --git a/open-sse/translator/request/gemini-to-openai.ts b/open-sse/translator/request/gemini-to-openai.ts
index 4e968e2671..f073eaf288 100644
--- a/open-sse/translator/request/gemini-to-openai.ts
+++ b/open-sse/translator/request/gemini-to-openai.ts
@@ -46,7 +46,7 @@ export function geminiToOpenAIRequest(model, body, stream) {
 
   // Convert contents to messages
   if (body.contents && Array.isArray(body.contents)) {
-    for (const content of body.contents) {
+    for (const content of splitCoLocatedFunctionResponses(body.contents)) {
       const converted = convertGeminiContent(content);
       if (converted) {
         result.messages.push(converted);
@@ -77,6 +77,38 @@ export function geminiToOpenAIRequest(model, body, stream) {
 }
 
 // Convert Gemini content to OpenAI message
+// convertGeminiContent() early-returns the tool message on the first
+// `functionResponse` part in a content, dropping any co-located parts
+// (another functionCall, or trailing text). Gemini clients can send those
+// co-located. Pre-split each such content into: one single-part content per
+// functionResponse (each early-returns cleanly as a tool message, emitted
+// first to keep tool-result-before-next-turn ordering) plus one content for
+// the remaining non-functionResponse parts.
+function splitCoLocatedFunctionResponses(contents) {
+  const out = [];
+  for (const content of contents) {
+    if (!content || !Array.isArray(content.parts)) {
+      out.push(content);
+      continue;
+    }
+    const hasFunctionResponse = content.parts.some((p) => p && p.functionResponse);
+    if (!hasFunctionResponse) {
+      out.push(content);
+      continue;
+    }
+    for (const part of content.parts) {
+      if (part && part.functionResponse) {
+        out.push({ ...content, parts: [part] });
+      }
+    }
+    const nonFRParts = content.parts.filter((p) => !(p && p.functionResponse));
+    if (nonFRParts.length > 0) {
+      out.push({ ...content, parts: nonFRParts });
+    }
+  }
+  return out;
+}
+
 function convertGeminiContent(content) {
   const role = content.role === "user" ? "user" : "assistant";
 
diff --git a/tests/unit/gemini-to-openai-function-response.test.ts b/tests/unit/gemini-to-openai-function-response.test.ts
new file mode 100644
index 0000000000..215b66c014
--- /dev/null
+++ b/tests/unit/gemini-to-openai-function-response.test.ts
@@ -0,0 +1,103 @@
+// Regression: open-sse/translator/request/gemini-to-openai.ts — a Gemini `content`
+// whose `parts` array holds a `functionResponse` co-located with other parts
+// (another functionCall, or trailing text) used to be dropped past the first
+// functionResponse, because convertGeminiContent() early-returns the tool message
+// on the first `functionResponse` part it finds. Gemini clients legitimately send
+// functionResponse alongside functionCall (multi-tool turns) or text (a user
+// follow-up next to a tool result). The fix pre-splits such contents so every
+// co-located part is preserved (tool results emitted first to keep ordering).
+//
+// Tested against the exported geminiToOpenAIRequest — the function registered as
+// the GEMINI→OPENAI request translator (translateRequest routes through it after
+// its normalize pipeline, which strips *orphaned* tool results; a real multi-turn
+// conversation carries the matching functionCall so the co-located parts reach this
+// function intact). This mirrors OmniRoute's translator-gemini-to-openai.test.ts.
+import test from "node:test";
+import assert from "node:assert/strict";
+
+const { geminiToOpenAIRequest } = await import(
+  "../../open-sse/translator/request/gemini-to-openai.ts"
+);
+
+test("preserves a functionCall co-located with a functionResponse in the same content", () => {
+  const body = {
+    contents: [
+      {
+        role: "model",
+        parts: [
+          { functionCall: { id: "call_a", name: "tool_a", args: {} } },
+          { functionResponse: { id: "call_b", name: "tool_b", response: { result: "b done" } } },
+        ],
+      },
+    ],
+  };
+  const result = geminiToOpenAIRequest("gemini-pro", body, false);
+  const toolMsg = result.messages.find((m) => m.role === "tool");
+  const assistantMsg = result.messages.find((m) => m.role === "assistant" && m.tool_calls);
+  assert.ok(toolMsg, "tool result must be preserved");
+  assert.ok(assistantMsg, "co-located functionCall must be preserved");
+  assert.equal(assistantMsg.tool_calls[0].function.name, "tool_a");
+});
+
+test("preserves multiple functionResponses in the same content", () => {
+  const body = {
+    contents: [
+      {
+        role: "user",
+        parts: [
+          { functionResponse: { id: "call_a", name: "tool_a", response: { result: "a done" } } },
+          { functionResponse: { id: "call_b", name: "tool_b", response: { result: "b done" } } },
+        ],
+      },
+    ],
+  };
+  const result = geminiToOpenAIRequest("gemini-pro", body, false);
+  const toolMsgs = result.messages.filter((m) => m.role === "tool");
+  assert.equal(toolMsgs.length, 2);
+  assert.deepEqual(
+    toolMsgs.map((m) => m.tool_call_id).sort(),
+    ["call_a", "call_b"]
+  );
+});
+
+test("preserves text co-located with a functionResponse, keeping the original turn role", () => {
+  const body = {
+    contents: [
+      {
+        role: "user",
+        parts: [
+          { functionResponse: { id: "call_a", name: "tool_a", response: { result: "a done" } } },
+          { text: "also please summarize" },
+        ],
+      },
+    ],
+  };
+  const result = geminiToOpenAIRequest("gemini-pro", body, false);
+  const toolMsg = result.messages.find((m) => m.role === "tool");
+  const userMsg = result.messages.find(
+    (m) => m.role === "user" && m.content === "also please summarize"
+  );
+  const asstWithText = result.messages.find(
+    (m) => m.role === "assistant" && m.content === "also please summarize"
+  );
+  assert.ok(toolMsg, "tool result must be preserved");
+  assert.ok(userMsg, "co-located text must be preserved with role:user");
+  assert.ok(!asstWithText, "co-located user text must NOT be attributed to assistant");
+});
+
+test("still works for a functionResponse alone (no regression)", () => {
+  const body = {
+    contents: [
+      {
+        role: "user",
+        parts: [
+          { functionResponse: { id: "call_a", name: "tool_a", response: { result: "a done" } } },
+        ],
+      },
+    ],
+  };
+  const result = geminiToOpenAIRequest("gemini-pro", body, false);
+  const toolMsgs = result.messages.filter((m) => m.role === "tool");
+  assert.equal(toolMsgs.length, 1);
+  assert.equal(toolMsgs[0].tool_call_id, "call_a");
+});