diff --git a/pyproject.toml b/pyproject.toml
index a14c5ce2..eda8492d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -73,5 +73,6 @@ test = [
     "docker>=6.1.3",
     "requests-mock>=1.11.0",
     "pytest-mock>=3.10.0",
-    "pytest-rerunfailures>=16.0"
+    "pytest-rerunfailures>=16.0",
+    "pytest-xdist",
 ]
diff --git a/tests/functional/v2/test_arabic_agent.py b/tests/functional/v2/test_arabic_agent.py
new file mode 100644
index 00000000..51ed4760
--- /dev/null
+++ b/tests/functional/v2/test_arabic_agent.py
@@ -0,0 +1,330 @@
+__author__ = "OpenAI"
+
+"""
+Copyright 2022 The aiXplain SDK authors
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+"""
+
+import re
+import time
+import uuid
+
+import pytest
+
+from aixplain.v2 import (
+    EvaluatorConfig,
+    EvaluatorType,
+    Inspector,
+    InspectorAction,
+    InspectorActionConfig,
+    InspectorSeverity,
+    InspectorTarget,
+)
+
+ARABIC_CHAR_RE = re.compile(r"[\u0600-\u06FF\u0750-\u077F\u08A0-\u08FF\uFB50-\uFDFF\uFE70-\uFEFF]")
+ARABIC_DIACRITICS_RE = re.compile(r"[\u064B-\u065F\u0670]")
+DIGIT_RE = re.compile(r"[\u0660-\u06690-9]")
+
+MODELS = [
+    pytest.param("gpt-4o", "6646261c6eb563165658bbb1", id="gpt-4o"),
+    pytest.param("gpt-4.1-nano", "67fd9e2bef0365783d06e2f0", id="gpt-4.1-nano"),
+    pytest.param("claude-opus-4.6", "698c87701239a117fd66b468", id="claude-opus-4.6"),
+]
+
+ARABIC_QUERIES = {
+    "pure_arabic": "ما هي أهم القوانين التجارية في المملكة العربية السعودية؟",
+    "arabic_punctuation": "أولاً: العقود التجارية؛ ثانياً: الشركات، ثالثاً: الإفلاس. ما رأيك؟",
+    "mixed_ar_en": "اشرح لي مفهوم Due Diligence في القانون السعودي وما هي متطلبات الـ Compliance؟",
+    "arabic_with_numbers": "المادة ١٢٣ من نظام الشركات لعام ٢٠٢٣م تنص على أن رأس المال لا يقل عن ٥٠٠,٠٠٠ ريال.",
+    "arabic_special_chars": "عنوان المكتب: شارع الملك فهد، الرياض\nهاتف: +٩٦٦-١١-٢٣٤-٥٦٧٨\nبريد: info@lawfirm.sa",
+    "arabic_long_diacritics": "بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ — هذا نَصٌّ مُشَكَّلٌ لاختبار المعالجة.",
+    "arabic_legal_template": """
+    بموجب هذا العقد المبرم بين:
+    الطرف الأول: شركة «النور للاستشارات القانونية» (سجل تجاري رقم: ١٠١٠٥٤٣٢١٠)
+    الطرف الثاني: مؤسسة «الأمانة للتجارة» (سجل تجاري رقم: ١٠١٠٦٧٨٩٠٠)
+    يتفق الطرفان على البنود التالية:
+    ١. مدة العقد: سنة هجرية كاملة.
+    ٢. قيمة العقد: ٧٥٠,٠٠٠ ريال سعودي.
+    ٣. التحكيم: يخضع لنظام التحكيم السعودي.
+    """,
+}
+
+QUERY_EXPECTATIONS = {
+    "pure_arabic": {"min_arabic_ratio": 0.35, "require_keywords": ["نظام"]},
+    "arabic_punctuation": {"min_arabic_ratio": 0.30, "require_keywords": ["عقود", "شركات"]},
+    "mixed_ar_en": {"min_arabic_ratio": 0.20, "require_keywords_any": ["Due Diligence", "Compliance"]},
+    "arabic_with_numbers": {"min_arabic_ratio": 0.20, "require_any_number": True},
+    "arabic_special_chars": {"min_arabic_ratio": 0.15, "require_any_number": True},
+    "arabic_long_diacritics": {"min_arabic_ratio": 0.35, "require_diacritics": True},
+    "arabic_legal_template": {"min_arabic_ratio": 0.30, "require_keywords_any": ["عقد", "التحكيم", "ريال"]},
+}
+
+SINGLE_AGENT_DEFS = [
+    {
+        "name": "SingleLegal",
+        "description": "Arabic legal advisor - single agent, Arabic instructions + input",
+        "instructions": (
+            "ROLE: أنت مستشار قانوني سعودي متخصص في القانون التجاري.\n"
+            "CONSTRAINTS: أجب باللغة العربية فقط. استخدم المصطلحات القانونية الصحيحة.\n"
+            "OUTPUT RULES: رتّب إجابتك في نقاط مرقّمة. اذكر المراجع النظامية إن وُجدت."
+        ),
+        "queries": ["pure_arabic", "arabic_punctuation", "arabic_legal_template"],
+    },
+    {
+        "name": "MixedLang",
+        "description": "Mixed Arabic/English agent - tests bilingual serialization",
+        "instructions": (
+            "ROLE: You are a bilingual legal consultant fluent in Arabic and English.\n"
+            "CONSTRAINTS: Respond in the same language the user writes in. "
+            "If the query is mixed, respond in Arabic with English legal terms preserved.\n"
+            "OUTPUT RULES: Structured bullet points. Cite Saudi regulations by article number."
+        ),
+        "queries": ["mixed_ar_en", "arabic_with_numbers", "arabic_special_chars"],
+    },
+    {
+        "name": "Diacritics",
+        "description": "Tests Arabic diacritics and special Unicode in instructions",
+        "instructions": (
+            "ROLE: أنت مُدقِّقٌ لُغَوِيٌّ متخصِّصٌ في النُّصوصِ العَرَبِيَّةِ المُشَكَّلَة.\n"
+            "CONSTRAINTS: صحِّح أيَّ أخطاءٍ إملائيَّةٍ أو نحويَّةٍ. أضِف التَّشكيلَ الكاملَ للنَّصِّ.\n"
+            "OUTPUT RULES: أعِد النَّصَّ المُصَحَّحَ مع التَّشكيلِ الكاملِ."
+        ),
+        "queries": ["arabic_long_diacritics", "pure_arabic"],
+    },
+]
+
+
+def _contains_arabic(text: str) -> bool:
+    return bool(ARABIC_CHAR_RE.search(text))
+
+
+def _contains_diacritics(text: str) -> bool:
+    return bool(ARABIC_DIACRITICS_RE.search(text))
+
+
+def _arabic_ratio(text: str) -> float:
+    visible_chars = [char for char in text if not char.isspace()]
+    if not visible_chars:
+        return 0.0
+    arabic_chars = len(ARABIC_CHAR_RE.findall(text))
+    return arabic_chars / len(visible_chars)
+
+
+def _extract_output(response) -> str:
+    data = getattr(response, "data", None)
+    if data is None:
+        return ""
+    if hasattr(data, "output") and data.output is not None:
+        return str(data.output)
+    if isinstance(data, dict):
+        return str(data.get("output", ""))
+    return str(data)
+
+
+def _extract_steps(response) -> list:
+    data = getattr(response, "data", None)
+    if data is None:
+        return []
+    steps = getattr(data, "steps", None) or []
+    if isinstance(data, dict):
+        steps = data.get("steps", []) or []
+    return steps
+
+
+def _assert_success_response(response) -> tuple[str, list]:
+    assert response is not None
+    assert getattr(response, "completed", None) is True
+    assert getattr(response, "status", "").upper() == "SUCCESS"
+    output = _extract_output(response)
+    assert output.strip(), "Expected a non-empty response output"
+    return output, _extract_steps(response)
+
+
+def _assert_query_expectations(query_key: str, output: str) -> None:
+    expectations = QUERY_EXPECTATIONS[query_key]
+    assert _contains_arabic(output), f"Expected Arabic content for {query_key}"
+    assert "serial" not in output.lower()
+    assert "json parse" not in output.lower()
+    assert _arabic_ratio(output) >= expectations["min_arabic_ratio"], (
+        f"Arabic ratio too low for {query_key}: {_arabic_ratio(output):.2f}"
+    )
+
+    for keyword in expectations.get("require_keywords", []):
+        assert keyword.lower() in output.lower(), f"Expected keyword '{keyword}' in {query_key} response"
+
+    if expectations.get("require_keywords_any"):
+        assert any(keyword.lower() in output.lower() for keyword in expectations["require_keywords_any"]), (
+            f"Expected one of {expectations['require_keywords_any']} in {query_key} response"
+        )
+
+    if expectations.get("require_any_number"):
+        assert DIGIT_RE.search(output), f"Expected numeric content in {query_key} response"
+
+    if expectations.get("require_diacritics"):
+        assert _contains_diacritics(output), f"Expected Arabic diacritics in {query_key} response"
+
+
+def _build_name(prefix: str, model_name: str) -> str:
+    return f"{prefix}-{model_name}-{int(time.time())}-{uuid.uuid4().hex[:6]}"
+
+
+def _is_inspector_step(step: dict) -> bool:
+    agent_info = step.get("agent") or {}
+    return (agent_info.get("id") or "").lower().startswith("inspector")
+
+
+def _is_inspector_abort_message(output: str) -> bool:
+    normalized = output.lower()
+    return "inspector detected issues" in normalized or "check your input query and inspector configuration" in normalized
+
+
+@pytest.fixture
+def resource_tracker():
+    """Track created resources for reliable cleanup."""
+    resources = []
+    yield resources
+    for resource in reversed(resources):
+        try:
+            resource.delete()
+        except Exception:
+            pass
+
+
+def _make_single_agent(client, llm_id: str, model_name: str, agent_def: dict):
+    agent = client.Agent(
+        name=_build_name(agent_def["name"], model_name),
+        description=agent_def["description"],
+        instructions=agent_def["instructions"],
+        llm=llm_id,
+        max_tokens=900,
+        max_iterations=4,
+    )
+    agent.save()
+    return agent
+
+
+def _make_team_agent(client, llm_id: str, model_name: str, inspectors=None):
+    researcher = client.Agent(
+        name=_build_name("ArabicResearcher", model_name),
+        description="باحث قانوني",
+        instructions=(
+            "ROLE: أنت باحث قانوني. ابحث في الأنظمة السعودية.\n"
+            "CONSTRAINTS: أجب بالعربية. اذكر أرقام المواد.\n"
+            "OUTPUT RULES: قدّم ملخصاً في ٣ نقاط."
+        ),
+        llm=llm_id,
+    )
+    drafter = client.Agent(
+        name=_build_name("ArabicDrafter", model_name),
+        description="صائغ عقود",
+        instructions=(
+            "ROLE: أنت متخصص في صياغة العقود التجارية.\n"
+            "CONSTRAINTS: استخدم الصيغ القانونية الرسمية بالعربية.\n"
+            "OUTPUT RULES: صِغ الرد كمسوَّدة قانونية."
+        ),
+        llm=llm_id,
+    )
+    researcher.save()
+    drafter.save()
+
+    team_agent = client.Agent(
+        name=_build_name("ArabicTeamPipeline", model_name),
+        description="Multi-agent pipeline with Arabic",
+        instructions=(
+            "ROLE: أنت مدير مكتب محاماة. وزّع المهام على فريقك.\n"
+            "CONSTRAINTS: تحدث بالعربية. وجّه كل سؤال للمتخصص المناسب.\n"
+            "OUTPUT RULES: اجمع ردود الفريق في تقرير واحد مُنسَّق."
+        ),
+        llm=llm_id,
+        agents=[researcher, drafter],
+        inspectors=inspectors or [],
+        max_tokens=900,
+        max_iterations=4,
+    )
+    team_agent.save()
+    return [researcher, drafter, team_agent]
+
+
+def _make_output_inspector(llm_id: str, model_name: str):
+    return Inspector(
+        name=f"ArabicContentValidator-{model_name}",
+        severity=InspectorSeverity.HIGH,
+        targets=[InspectorTarget.OUTPUT],
+        action=InspectorActionConfig(type=InspectorAction.ABORT),
+        evaluator=EvaluatorConfig(
+            type=EvaluatorType.ASSET,
+            asset_id=llm_id,
+            prompt=(
+                "تحقق من أن الرد مكتوب بالعربية الفصحى وأنه يتعلق بالقانون التجاري السعودي فقط. "
+                "إذا كان الرد بلغة أخرى أو خارج النطاق، ارفضه."
+            ),
+        ),
+    )
+
+
+@pytest.mark.parametrize(("model_name", "llm_id"), MODELS)
+def test_arabic_single_agent_variants_across_llms(client, resource_tracker, model_name, llm_id):
+    """Keep broad LLM coverage, but run only one representative query per agent variant."""
+    representative_queries = {
+        "SingleLegal": "pure_arabic",
+        "MixedLang": "mixed_ar_en",
+        "Diacritics": "arabic_long_diacritics",
+    }
+
+    for agent_config in SINGLE_AGENT_DEFS:
+        query_key = representative_queries[agent_config["name"]]
+        agent = _make_single_agent(client, llm_id, model_name, agent_config)
+        resource_tracker.append(agent)
+
+        response = agent.run(ARABIC_QUERIES[query_key])
+        output, _ = _assert_success_response(response)
+        _assert_query_expectations(query_key, output)
+
+
+@pytest.mark.parametrize(("model_name", "llm_id"), MODELS)
+def test_arabic_team_agent_across_llms(client, resource_tracker, model_name, llm_id):
+    """Use one contract-heavy query to cover the team-agent serialization path."""
+    resources = _make_team_agent(client, llm_id, model_name)
+    resource_tracker.extend(resources)
+    team_agent = resources[-1]
+
+    response = team_agent.run(ARABIC_QUERIES["arabic_legal_template"])
+    output, steps = _assert_success_response(response)
+    _assert_query_expectations("arabic_legal_template", output)
+    assert steps, "Expected team-agent execution steps for Arabic team flow"
+
+
+@pytest.mark.parametrize(("model_name", "llm_id"), MODELS)
+def test_arabic_inspector_agent_across_llms(client, resource_tracker, model_name, llm_id):
+    """Verify the inspector actually executes on the Arabic runtime path."""
+    inspector = _make_output_inspector(llm_id, model_name)
+    resources = _make_team_agent(client, llm_id, model_name, inspectors=[inspector])
+    resource_tracker.extend(resources)
+    team_agent = resources[-1]
+
+    response = team_agent.run(ARABIC_QUERIES["pure_arabic"])
+    output, steps = _assert_success_response(response)
+    response_generator_steps = [
+        step for step in steps if ((step.get("agent") or {}).get("id") or "").lower() == "response_generator"
+    ]
+    assert len(response_generator_steps) == 1, "Expected exactly one response_generator step"
+
+    response_generator_index = steps.index(response_generator_steps[0])
+    inspector_steps = [step for step in steps[response_generator_index + 1 :] if _is_inspector_step(step)]
+    assert inspector_steps, "Expected inspector step(s) after response_generator"
+
+    if _is_inspector_abort_message(output):
+        return
+
+    _assert_query_expectations("pure_arabic", output)