v3.11.12: Antigravity v2 handler rewrite (anti-api approach)

CHANGELOG.md

@@ -1,5 +1,18 @@
 # Changelog
 
+## v3.11.12 (2026-05-26)
+
+**New Antigravity v2 Handler (Mimicking anti-api)**
+
+### New Features
+- **Complete rewrite of Antigravity handler** based on https://github.com/ink1ing/anti-api approach
+- Safety settings (all OFF), stopSequences, sessionId, requestType: agent
+- functionResponse uses `response: { result: string }` format matching anti-api
+- Endpoint priority: `daily-cloudcode-pa.googleapis.com` first
+- Simplified sanitizer: only deduplicates consecutive user text, never touches tool messages
+
+## v3.11.11 (2026-05-26)
+
 ## v3.11.11 (2026-05-26)
 
 **Antigravity Fix: Stricter function_call/output Pairing + Gemini Sanitizer Rewrite (PR #12)**

src/codex-launcher-gui

@@ -27,9 +27,9 @@ model_catalog_json = ""
 """
 
 CHANGELOG = [
-    ("3.11.11", "2026-05-26", [
+    ("3.11.12", "2026-05-26", [
-        "Fix Antigravity: stricter function_call/output pairing (PR #12)",
+        "New Antigravity v2 handler mimicking anti-api",
-        "Gemini sanitizer rewritten — tool messages always preserved",
+        "Safety settings, stopSequences, simplified sanitizer",
     ]),
     ("3.11.10", "2026-05-26", [
         "Fix Antigravity: interleave function_call/output pairs (PR #11)",

src/codex_launcher_lib.py

@@ -83,10 +83,14 @@ model_catalog_json = ""
 """
 
 CHANGELOG = [
+    ("3.11.12", "2026-05-26", [
+        "New Antigravity v2 handler mimicking anti-api approach",
+        "Safety settings, stopSequences, sessionId, requestType: agent",
+        "Simplified sanitizer preserving functionCall/functionResponse",
+        "Endpoint priority: daily-cloudcode-pa first",
+        "functionResponse uses response.result (string) format",
+    ]),
     ("3.11.11", "2026-05-26", [
-        "Fix Antigravity: stricter function_call/output pairing + Gemini sanitizer rewrite (PR #12)",
-        "Only pairs where BOTH call and output exist are included — no orphan calls",
-        "Gemini sanitizer: tool messages always preserved as-is, text merging more conservative",
         "Final trimming only removes plain messages, never function_call_output",
     ]),
     ("3.11.10", "2026-05-26", [

src/translate-proxy.py

@@ -5212,7 +5212,10 @@ class Handler(http.server.BaseHTTPRequestHandler):
                 elif BACKEND in ("codebuff", "freebuff"):
                     self._handle_codebuff(body, model, stream, tracker)
                 elif (BACKEND or "").startswith("gemini-oauth"):
-                    self._handle_gemini_oauth(body, model, stream, tracker)
+                    if OAUTH_PROVIDER == "google-antigravity":
+                        self._handle_antigravity_v2(body, model, stream, tracker)
+                    else:
+                        self._handle_gemini_oauth(body, model, stream, tracker)
                 else:
                     self._handle_openai_compat(body, model, stream, tracker)
             update_snapshot_response(request_id, "completed", time.time() - _req_t0)
@@ -5401,6 +5404,333 @@ class Handler(http.server.BaseHTTPRequestHandler):
             chat_body["reasoning_effort"] = REASONING_EFFORT
         return chat_body
 
+    def _handle_antigravity_v2(self, body, model, stream, tracker=None):
+        input_data = body.get("input", "")
+        _schema = _load_schema(model=model)
+        if _schema and not _schema.supports_vision:
+            input_data = _preprocess_vision_input(input_data, _schema)
+            body = dict(body)
+            body["input"] = input_data
+
+        if isinstance(input_data, list) and len(input_data) > 30:
+            input_data = _antigravity_normalize_context(input_data, model)
+            body = dict(body)
+            body["input"] = input_data
+
+        access_token = _refresh_oauth_token()
+        token_path = os.path.join(os.path.expanduser("~"), ".cache", "codex-proxy", "google-antigravity-oauth-token.json")
+        project_id = ""
+        try:
+            with open(token_path) as f:
+                project_id = json.load(f).get("project_id", "")
+        except Exception:
+            pass
+
+        tool_call_names = {}
+        contents = []
+
+        if isinstance(input_data, list):
+            for item in input_data:
+                t = item.get("type")
+                if t == "message":
+                    role = "user" if item.get("role") == "user" else "model"
+                    content = item.get("content", "")
+                    parts = []
+                    if isinstance(content, list):
+                        for c in content:
+                            ct = c.get("type")
+                            if ct in ("input_text", "text"):
+                                parts.append({"text": c.get("text", "")})
+                            elif ct in ("input_image", "image_url"):
+                                iu = c.get("image_url") or c.get("url", {})
+                                url = iu.get("url", iu) if isinstance(iu, dict) else iu
+                                if isinstance(url, str) and url.startswith("data:"):
+                                    mime, _, b64 = url.partition(";base64,")
+                                    mime = mime.replace("data:", "") or "image/png"
+                                    parts.append({"inlineData": {"mimeType": mime, "data": b64}})
+                                else:
+                                    parts.append({"text": str(url)})
+                    elif isinstance(content, str):
+                        parts.append({"text": content})
+                    if parts:
+                        contents.append({"role": role, "parts": parts})
+                elif t == "function_call":
+                    call_id = item.get("call_id") or item.get("id") or f"call_{uuid.uuid4().hex[:24]}"
+                    fname = item.get("name", "")
+                    if call_id and fname:
+                        tool_call_names[call_id] = fname
+                    args = item.get("arguments", "{}")
+                    if isinstance(args, str):
+                        try:
+                            args = json.loads(args)
+                        except Exception:
+                            args = {}
+                    fc_part = {"functionCall": {"name": fname, "args": args, "id": call_id}}
+                    stored_sig = _gemini_get_sig(f"fc:{call_id}") or _gemini_get_sig(f"fc:{fname}")
+                    if stored_sig:
+                        fc_part["thoughtSignature"] = stored_sig
+                        fc_part["thought_signature"] = stored_sig
+                    else:
+                        fc_part["thought_signature"] = "skip_thought_signature_validator"
+                    contents.append({"role": "model", "parts": [fc_part]})
+                elif t == "function_call_output":
+                    call_id = item.get("call_id", item.get("id", ""))
+                    output = item.get("output", "")
+                    fname = item.get("name", "") or tool_call_names.get(call_id, "")
+                    resp_part = {"functionResponse": {"name": fname or "unknown", "response": {"result": str(output)}}}
+                    if call_id:
+                        resp_part["functionResponse"]["id"] = call_id
+                    contents.append({"role": "user", "parts": [resp_part]})
+
+        sanitized = []
+        last_user_text = None
+        last_role = None
+        for content in contents:
+            role = content.get("role")
+            parts = [p for p in content.get("parts", []) if isinstance(p, dict)]
+            if not parts:
+                continue
+            has_function_call = any("functionCall" in p for p in parts)
+            has_function_response = any("functionResponse" in p for p in parts)
+            text_key = "\n".join([p.get("text", "") for p in parts if "text" in p]).strip()
+
+            if has_function_call or has_function_response:
+                sanitized.append({"role": role, "parts": parts})
+                last_role = role
+                continue
+
+            if role == "user" and text_key and text_key == last_user_text:
+                continue
+
+            if role == last_role and role in ("user", "model") and sanitized:
+                last_parts = sanitized[-1].get("parts", [])
+                last_has_tool = any("functionCall" in p or "functionResponse" in p for p in last_parts)
+                if not last_has_tool:
+                    sanitized[-1].setdefault("parts", []).extend(parts)
+                    if role == "user" and text_key:
+                        last_user_text = text_key
+                    last_role = role
+                    continue
+
+            sanitized.append({"role": role, "parts": parts})
+            if role == "user" and text_key:
+                last_user_text = text_key
+            last_role = role
+
+        while sanitized and sanitized[0].get("role") != "user":
+            sanitized.pop(0)
+
+        contents = sanitized
+
+        instructions = body.get("instructions", "").strip()
+        system_parts = []
+        if instructions:
+            system_parts.append({"text": instructions})
+
+        gen_config = {"maxOutputTokens": body.get("max_output_tokens", 64000), "stopSequences": ["\n\nHuman:", "[DONE]"]}
+        if body.get("temperature") is not None:
+            gen_config["temperature"] = body["temperature"]
+        if body.get("top_p") is not None:
+            gen_config["topP"] = body["top_p"]
+
+        _is_claude_model = "claude" in model.lower()
+        _is_claude_thinking = _is_claude_model and "thinking" in model.lower()
+
+        if REASONING_ENABLED and REASONING_EFFORT != "none":
+            if _is_claude_thinking:
+                budget = {"low": 8192, "medium": 16384, "high": 32768}.get(REASONING_EFFORT, 16384)
+                gen_config["thinkingConfig"] = {"include_thoughts": True, "thinking_budget": budget}
+                if gen_config.get("maxOutputTokens", 0) <= budget:
+                    gen_config["maxOutputTokens"] = 64000
+            elif not _is_claude_model:
+                budget = {"low": 2048, "medium": 8192, "high": 24576}.get(REASONING_EFFORT, 8192)
+                gen_config["thinkingConfig"] = {"includeThoughts": True, "thinkingBudget": budget}
+
+        oa_tools = body.get("tools", [])
+        gemini_tools = []
+        if oa_tools:
+            func_decls = []
+            for tool in oa_tools:
+                ttype = tool.get("type", "function")
+                fname = tool.get("name", "")
+                if ttype == "function":
+                    fn = tool.get("function", tool)
+                    name = fn.get("name", fname)
+                    desc = fn.get("description", "")
+                    params = fn.get("parameters", fn.get("input_schema", {}))
+                    func_decls.append({"name": name, "description": desc, "parameters": params})
+                elif fname:
+                    func_decls.append({"name": fname, "description": tool.get("description", ""), "parameters": tool.get("parameters", {"type": "object", "properties": {}})})
+            if func_decls:
+                gemini_tools = [{"functionDeclarations": func_decls}]
+
+        contents = _gemini_reattach_sigs(contents)
+
+        ag_key = _antigravity_loop_key(self._session_id)
+        with _ANTIGRAVITY_LOOP_TRACKER_LOCK:
+            if ag_key not in _ANTIGRAVITY_LOOP_TRACKER:
+                _ANTIGRAVITY_LOOP_TRACKER[ag_key] = {
+                    "latest_user_hash": None, "nudge_injected": False, "latest_user_appended": False,
+                    "tool_calls_for_request": 0, "repeated_tool": False, "force_finalize": False,
+                    "last_tool": None, "last_tool_count": 0,
+                }
+            ag_state = _ANTIGRAVITY_LOOP_TRACKER[ag_key]
+
+        latest_user = ""
+        if isinstance(input_data, list):
+            for item in reversed(input_data):
+                if item.get("type") == "message" and item.get("role") == "user":
+                    c = item.get("content", "")
+                    if isinstance(c, str):
+                        latest_user = c
+                    elif isinstance(c, list):
+                        latest_user = "\n".join(p.get("text", p.get("input_text", "")) for p in c if isinstance(p, dict))
+                    break
+            if latest_user:
+                latest_norm = " ".join(latest_user.strip().split())[:200]
+                latest_user_hash = hashlib.sha256(latest_norm.encode()).hexdigest()[:16]
+                if latest_user_hash != ag_state.get("latest_user_hash"):
+                    ag_state["latest_user_hash"] = latest_user_hash
+                    ag_state["nudge_injected"] = False
+                    ag_state["latest_user_appended"] = False
+                    ag_state["tool_calls_for_request"] = 0
+                    ag_state["repeated_tool"] = False
+                    ag_state["force_finalize"] = False
+                    ag_state["last_tool"] = None
+                    ag_state["last_tool_count"] = 0
+            n_tool_calls = sum(1 for it in input_data if isinstance(it, dict) and it.get("type") == "function_call")
+            ag_state["tool_calls_for_request"] = n_tool_calls
+            last_tool_key = None
+            for item in reversed(input_data):
+                if isinstance(item, dict) and item.get("type") == "function_call":
+                    fname = item.get("name", "")
+                    args_str = json.dumps(item.get("arguments", {}), sort_keys=True)[:100]
+                    last_tool_key = f"{fname}:{args_str}"
+                    break
+            if last_tool_key:
+                if last_tool_key == ag_state.get("last_tool"):
+                    ag_state["last_tool_count"] = ag_state.get("last_tool_count", 0) + 1
+                    if ag_state["last_tool_count"] >= 5:
+                        ag_state["repeated_tool"] = True
+                        ag_state["force_finalize"] = True
+                else:
+                    ag_state["last_tool"] = last_tool_key
+                    ag_state["last_tool_count"] = 1
+
+        if ag_state.get("force_finalize"):
+            contents.append({"role": "user", "parts": [{"text": "STOP CALLING TOOLS. APPLY THE FINAL EDIT OR SUMMARIZE WHAT BLOCKED YOU. DO NOT CALL ANY MORE TOOLS."}]})
+
+        if not _antigravity_is_simple_user(latest_user):
+            contents.insert(0, {"role": "user", "parts": [{"text": _GEMINI_AGENT_GUARDRAIL}]})
+
+        request_body = {"contents": contents, "safetySettings": [
+            {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "OFF"},
+            {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "OFF"},
+            {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "OFF"},
+            {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "OFF"},
+            {"category": "HARM_CATEGORY_CIVIC_INTEGRITY", "threshold": "OFF"},
+        ]}
+        if system_parts:
+            request_body["systemInstruction"] = {"parts": system_parts}
+        if gen_config:
+            request_body["generationConfig"] = gen_config
+        if gemini_tools:
+            request_body["tools"] = gemini_tools
+        if _is_claude_model and gemini_tools:
+            request_body["toolConfig"] = {"functionCallingConfig": {"mode": "VALIDATED"}}
+
+        version = _ensure_antigravity_version()
+        import platform as _plat
+        _os_name = _plat.system().lower()
+        _os_arch = _plat.machine().lower().replace("x86_64", "x64").replace("aarch64", "arm64")
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {access_token}",
+            "User-Agent": f"antigravity/{version} {_os_name}/{_os_arch}",
+            "X-Client-Name": "antigravity",
+            "X-Client-Version": _ensure_antigravity_client_version(),
+            "x-goog-api-client": "gl-node/18.18.2 fire/0.8.6 grpc/1.10.x",
+        }
+
+        wrapped = {
+            "project": project_id,
+            "model": model,
+            "requestType": "agent",
+            "userAgent": f"antigravity/{version} {_os_name}/{_os_arch}",
+            "requestId": f"agent-{uuid.uuid4().hex[:12]}",
+            "request": request_body,
+        }
+        wrapped["request"]["sessionId"] = f"{uuid.uuid4().hex}{int(time.time()*1000)}"
+
+        _allow_staging = os.environ.get("ALLOW_ANTIGRAVITY_STAGING", "0") == "1"
+        _antigravity_endpoints = [
+            "https://daily-cloudcode-pa.googleapis.com",
+            "https://daily-cloudcode-pa.sandbox.googleapis.com",
+            "https://cloudcode-pa.googleapis.com",
+        ]
+        if _allow_staging:
+            _antigravity_endpoints.append("https://autopush-cloudcode-pa.sandbox.googleapis.com")
+
+        body_b = json.dumps(wrapped).encode()
+        print(f"[{self._session_id}] [antigravity-v2] model={model} stream={stream} contents={len(contents)} tools={bool(gemini_tools)} project={project_id}", file=sys.stderr)
+
+        upstream = None
+        chosen_ep = None
+        global _antigravity_preferred_endpoint
+        with _antigravity_endpoint_lock:
+            _pref = _antigravity_preferred_endpoint
+        ordered = ([_pref] + [e for e in _antigravity_endpoints if e != _pref]) if _pref and _pref in _antigravity_endpoints else list(_antigravity_endpoints)
+
+        for ep in ordered:
+            action = "streamGenerateContent" if stream else "generateContent"
+            url_suffix = f"v1internal:{action}?alt=sse" if stream else f"v1internal:{action}"
+            target = f"{ep}/{url_suffix}"
+            req = urllib.request.Request(target, data=body_b, headers=headers)
+            try:
+                upstream = urllib.request.urlopen(req, timeout=_upstream_timeout(body, stream))
+                chosen_ep = ep
+                with _antigravity_endpoint_lock:
+                    _antigravity_preferred_endpoint = ep
+                break
+            except urllib.error.HTTPError as e:
+                err_body = e.read().decode()
+                err_class = _classify_antigravity_error(e.code, err_body)
+                print(f"[{self._session_id}] [antigravity-v2] {ep.replace('https://','')} {e.code} class={err_class}", file=sys.stderr)
+                if e.code == 400:
+                    try:
+                        debug_path = os.path.join(_LOG_DIR, "antigravity-v2-400.json")
+                        with open(debug_path, "w") as dbg:
+                            json.dump({"endpoint": ep, "model": model, "wrapped": wrapped, "error": err_body}, dbg, indent=2)
+                    except Exception:
+                        pass
+                    return self.send_json(e.code, {"error": {"type": "upstream_error", "message": _sanitize_err_body(err_body)}})
+                if err_class in ("auth_permanent", "service_disabled", "forbidden", "account_banned", "validation_required"):
+                    return self.send_json(e.code, {"error": {"type": "upstream_error", "message": _sanitize_err_body(err_body)}})
+                if err_class in ("quota_exhausted", "rate_limited"):
+                    pool = _google_antigravity_pool
+                    _, acct = _get_google_account(OAUTH_PROVIDER)
+                    if acct:
+                        reset_s = _parse_rate_limit_reset(err_body)
+                        cooldown = reset_s if reset_s and reset_s > 10 else 60
+                        pool.mark_rate_limited(acct, cooldown)
+                    return self.send_json(e.code, {"error": {"type": "upstream_error", "message": _sanitize_err_body(err_body)}})
+                if ep == ordered[-1]:
+                    return self.send_json(e.code, {"error": {"type": "upstream_error", "message": _sanitize_err_body(err_body)}})
+                continue
+            except Exception as e:
+                print(f"[{self._session_id}] [antigravity-v2] {ep.replace('https://','')} conn failed: {e}", file=sys.stderr)
+                if ep == ordered[-1]:
+                    return self.send_json(502, {"error": {"type": "proxy_error", "message": str(e)}})
+                continue
+
+        if upstream is None:
+            return self.send_json(502, {"error": {"type": "proxy_error", "message": "All endpoints failed"}})
+
+        if stream:
+            self._forward_gemini_sse(upstream, model, body, input_data, tracker)
+        else:
+            self._forward_gemini_json(upstream, model, body, input_data)
+
     def _handle_gemini_oauth(self, body, model, stream, tracker=None):
         input_data = body.get("input", "")
         policy = provider_policy()