diff --git a/tests/test_caller_registry.py b/tests/test_caller_registry.py
new file mode 100644
index 0000000..2541481
--- /dev/null
+++ b/tests/test_caller_registry.py
@@ -0,0 +1,136 @@
+"""
+tests/test_caller_registry.py
+─────────────────────────────────────────────────────────────────
+Operation Ollama-First v5.0 / Phase 16 — caller_registry 集中管理驗證
+
+驗證面：
+  T1. CALLER_REGISTRY 含 ADR-028 列舉的 30+ caller
+  T2. is_known_caller 對白名單回 True / 未知回 False
+  T3. assert_known_caller(strict=False) → log warning 不 raise
+  T4. assert_known_caller(strict=True) → 未知 raise ValueError
+  T5. list_callers_by_service 分組正確
+  T6. ai_call_logger 整合：未知 caller 不阻擋（log warning）
+"""
+
+import logging
+
+import pytest
+
+
+def test_registry_contains_core_callers():
+    """ADR-028 白名單核心 caller 必在 registry"""
+    from services.llm_caller_registry import CALLER_REGISTRY
+
+    must_have = {
+        # Hermes
+        'hermes_analyst', 'hermes_intent',
+        # OpenClaw
+        'openclaw_daily', 'openclaw_weekly', 'openclaw_monthly',
+        'openclaw_meta', 'openclaw_qa',
+        # MCP
+        'mcp_l1_grounding', 'mcp_collector',
+        # Code Review
+        'code_review_hermes', 'code_review_openclaw', 'code_review_elephant',
+        # NemoTron / EA
+        'nemotron_dispatch', 'ea_engine',
+        # PPT
+        'ppt_gemini', 'ppt_ollama', 'ppt_nim', 'ppt_vision',
+        # KM Embedding
+        'km_embedding_worker', 'km_embedding_realtime',
+        # Sales / Trend
+        'sales_copy', 'trend_match', 'trend_qa', 'product_insights',
+        # Bot
+        'openclaw_bot_main', 'openclaw_bot_gemini', 'openclaw_bot_nim',
+    }
+
+    missing = must_have - CALLER_REGISTRY
+    assert not missing, f"registry 缺 {len(missing)} 個關鍵 caller: {missing}"
+
+
+def test_is_known_caller():
+    from services.llm_caller_registry import is_known_caller
+
+    assert is_known_caller('hermes_analyst') is True
+    assert is_known_caller('openclaw_qa') is True
+    assert is_known_caller('not_a_real_caller') is False
+    assert is_known_caller('') is False
+    assert is_known_caller('GeMiNi_Caller_Wrong_Case') is False
+
+
+def test_assert_known_caller_strict_false_only_warns(caplog):
+    """strict=False（預設）→ 不在 registry 只 log warning"""
+    from services.llm_caller_registry import assert_known_caller
+
+    with caplog.at_level(logging.WARNING):
+        assert_known_caller('totally_made_up_caller', strict=False)
+    # 應有 warning
+    warnings = [r for r in caplog.records if r.levelno >= logging.WARNING]
+    assert len(warnings) >= 1
+    assert 'unknown caller' in warnings[0].message.lower() or \
+           'totally_made_up_caller' in warnings[0].message
+
+
+def test_assert_known_caller_strict_true_raises():
+    from services.llm_caller_registry import assert_known_caller
+
+    with pytest.raises(ValueError, match='unknown caller'):
+        assert_known_caller('definitely_not_real', strict=True)
+
+
+def test_assert_known_caller_passes_for_real_caller():
+    """合法 caller → 不 raise / 不 warn"""
+    from services.llm_caller_registry import assert_known_caller
+    # 不該 raise
+    assert_known_caller('hermes_analyst', strict=True)
+    assert_known_caller('openclaw_qa', strict=False)
+
+
+def test_list_callers_by_service_structure():
+    from services.llm_caller_registry import list_callers_by_service, CALLER_REGISTRY
+
+    grouped = list_callers_by_service()
+    expected_groups = {'hermes', 'openclaw', 'openclaw_bot', 'mcp', 'code_review',
+                       'ppt', 'tg_bot', 'km_embedding', 'sales_trend', 'misc'}
+    assert expected_groups.issubset(grouped.keys())
+
+    # 每組至少 1 個
+    for group, callers in grouped.items():
+        assert isinstance(callers, list)
+        assert len(callers) >= 1, f"group '{group}' 是空的"
+
+    # hermes 至少含 hermes_analyst
+    assert 'hermes_analyst' in grouped['hermes']
+
+
+def test_ai_call_logger_integration_does_not_block_unknown_caller(caplog):
+    """ai_call_logger 收到 unknown caller 應 log warning 但不阻擋 context manager"""
+    import os
+    os.environ['AI_CALL_LOGGING_ENABLED'] = 'false'  # 跳過 DB 寫入
+    try:
+        from services.ai_call_logger import log_ai_call
+
+        with caplog.at_level(logging.WARNING):
+            with log_ai_call(
+                caller='unknown_test_caller_xyz',  # 故意不在 registry
+                provider='gcp_ollama',
+                model='hermes3:latest',
+            ) as ctx:
+                ctx.set_tokens(input=100, output=50)
+        # context manager 不 raise，正常結束
+        # 應該有 warning（caller 不在 registry）
+        warnings = [r for r in caplog.records if r.levelno >= logging.WARNING]
+        assert any('unknown_test_caller' in r.message.lower() or
+                   'unknown caller' in r.message.lower()
+                   for r in warnings), \
+            f"應 warn unknown caller，實際 warnings: {[r.message for r in warnings]}"
+    finally:
+        os.environ.pop('AI_CALL_LOGGING_ENABLED', None)
+
+
+def test_registry_is_immutable_frozenset():
+    """CALLER_REGISTRY 是 frozenset 不可變動"""
+    from services.llm_caller_registry import CALLER_REGISTRY
+
+    assert isinstance(CALLER_REGISTRY, frozenset)
+    with pytest.raises(AttributeError):
+        CALLER_REGISTRY.add('attempted_mutation')  # type: ignore
diff --git a/tests/test_deepseek_service.py b/tests/test_deepseek_service.py
new file mode 100644
index 0000000..52bea5d
--- /dev/null
+++ b/tests/test_deepseek_service.py
@@ -0,0 +1,118 @@
+"""
+tests/test_deepseek_service.py
+─────────────────────────────────────────────────────────────────
+Operation Ollama-First v5.0 / Phase 15 — DeepSeek 直連 service 驗證
+"""
+
+from unittest.mock import patch, MagicMock
+
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def _reset_env(monkeypatch):
+    """每 test 清 env"""
+    monkeypatch.delenv('DEEPSEEK_DIRECT_ENABLED', raising=False)
+    monkeypatch.delenv('DEEPSEEK_API_KEY', raising=False)
+    yield
+
+
+def test_is_available_requires_key_and_flag(monkeypatch):
+    from services.deepseek_service import DeepSeekService
+
+    svc = DeepSeekService()
+    # 無 key 無 flag → False
+    assert svc.is_available() is False
+
+    # 只有 flag → False
+    monkeypatch.setenv('DEEPSEEK_DIRECT_ENABLED', 'true')
+    assert svc.is_available() is False
+
+    # flag + key → True（需 reload module 取新 env）
+    monkeypatch.setenv('DEEPSEEK_API_KEY', 'sk-test')
+    import importlib
+    import services.deepseek_service as ds
+    importlib.reload(ds)
+    assert ds.deepseek_service.is_available() is True
+
+
+def test_generate_returns_failure_when_unavailable(monkeypatch):
+    """flag OFF 時 generate 直接 return failure，不打 HTTP"""
+    monkeypatch.setenv('DEEPSEEK_DIRECT_ENABLED', 'false')
+    from services.deepseek_service import DeepSeekService
+
+    svc = DeepSeekService()
+    with patch('services.deepseek_service.requests.post') as mock_post:
+        resp = svc.generate('test prompt')
+
+    assert resp.success is False
+    assert 'DEEPSEEK_DIRECT_ENABLED=false' in (resp.error or '') or \
+           'API_KEY 未設' in (resp.error or '')
+    mock_post.assert_not_called()
+
+
+def test_generate_success_parses_usage(monkeypatch):
+    """正常 200 回應應解 usage tokens"""
+    monkeypatch.setenv('DEEPSEEK_DIRECT_ENABLED', 'true')
+    monkeypatch.setenv('DEEPSEEK_API_KEY', 'sk-test')
+
+    import importlib
+    import services.deepseek_service as ds
+    importlib.reload(ds)
+
+    fake_resp = MagicMock(status_code=200)
+    fake_resp.json.return_value = {
+        'model': 'deepseek-chat',
+        'choices': [{'message': {'content': 'Hello from DeepSeek'}}],
+        'usage': {'prompt_tokens': 100, 'completion_tokens': 50},
+    }
+    with patch('services.deepseek_service.requests.post', return_value=fake_resp):
+        resp = ds.deepseek_service.generate('hi', system_prompt='you are helpful')
+
+    assert resp.success is True
+    assert resp.content == 'Hello from DeepSeek'
+    assert resp.input_tokens == 100
+    assert resp.output_tokens == 50
+    assert resp.model == 'deepseek-chat'
+
+
+def test_generate_http_500_returns_failure(monkeypatch):
+    monkeypatch.setenv('DEEPSEEK_DIRECT_ENABLED', 'true')
+    monkeypatch.setenv('DEEPSEEK_API_KEY', 'sk-test')
+
+    import importlib
+    import services.deepseek_service as ds
+    importlib.reload(ds)
+
+    fake_resp = MagicMock(status_code=500)
+    fake_resp.text = 'Internal Server Error'
+    with patch('services.deepseek_service.requests.post', return_value=fake_resp):
+        resp = ds.deepseek_service.generate('test')
+
+    assert resp.success is False
+    assert 'HTTP 500' in (resp.error or '')
+
+
+def test_generate_timeout_returns_failure(monkeypatch):
+    monkeypatch.setenv('DEEPSEEK_DIRECT_ENABLED', 'true')
+    monkeypatch.setenv('DEEPSEEK_API_KEY', 'sk-test')
+
+    import importlib
+    import services.deepseek_service as ds
+    importlib.reload(ds)
+
+    import requests
+    with patch('services.deepseek_service.requests.post',
+               side_effect=requests.Timeout('60s')):
+        resp = ds.deepseek_service.generate('test')
+
+    assert resp.success is False
+    assert 'timeout' in (resp.error or '').lower()
+
+
+def test_check_connection_when_unavailable():
+    from services.deepseek_service import DeepSeekService
+
+    svc = DeepSeekService()
+    # 無 key 無 flag
+    assert svc.check_connection() is False
diff --git a/tests/test_low_quality_response_v2.py b/tests/test_low_quality_response_v2.py
new file mode 100644
index 0000000..1e654a5
--- /dev/null
+++ b/tests/test_low_quality_response_v2.py
@@ -0,0 +1,116 @@
+"""
+tests/test_low_quality_response_v2.py
+─────────────────────────────────────────────────────────────────
+Operation Ollama-First v5.0 / Phase 17 — _is_low_quality_response 4 條新規則驗證
+
+驗證面（規則 5-8 是 Phase 17 新增）：
+  規則 1-4：既有（test_openclaw_qa_routing 已驗）
+  規則 5: 純英文回應（中文 < 30%）
+  規則 6: thinking-mode 漏洞（<think>...</think>）
+  規則 7: 重複迴圈（前 50 字 ≥ 3 次）
+  規則 8: 佔位符未填充（{{var}} / [TODO] / <待填>）
+"""
+
+
+def test_rule5_pure_english_response_rejected():
+    """純英文長文應被拒（中文 < 30%）"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    text = (
+        "This is a long English response from the LLM model that does not "
+        "have any traditional Chinese characters in it. We expect this kind "
+        "of response to be rejected as low quality because the user is asking "
+        "in Traditional Chinese and expects an answer in Traditional Chinese."
+    )
+    assert _is_low_quality_response(text) is True
+
+
+def test_rule5_mixed_chinese_english_acceptable():
+    """中英混合（中文佔比 ≥ 30%）應通過"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    # 中文密度高的 text（40%+ 中文字元）
+    text = (
+        "本週業績分析報告：總營收較上週成長百分之十二，主要來自家電類別與生活雜貨。\n"
+        "競品動向監控：對手實施大規模補貼戰，預估壓縮我方百分之三毛利率。\n"
+        "建議行動：(一) 加碼家電促銷檔期 (二) 觀察補貼是否延續至下週。"
+    )
+    assert _is_low_quality_response(text) is False
+
+
+def test_rule6_thinking_block_leak_rejected():
+    """reasoning model thinking 區塊洩漏應拒"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    text_with_open_tag = (
+        "<think>讓我思考一下這個問題...</think>\n"
+        "本週業績分析：總營收成長 12% YoY，主要來自家電類別的銷售提升。"
+    )
+    assert _is_low_quality_response(text_with_open_tag) is True
+
+    text_with_close_only = (
+        "本週業績分析：總營收成長 12% YoY，主要來自家電類別的銷售提升。\n"
+        "</think>"
+    )
+    assert _is_low_quality_response(text_with_close_only) is True
+
+
+def test_rule7_repetition_loop_rejected():
+    """前 50 字出現 ≥ 3 次 → 卡迴圈"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    # 重複 8 次保證 > 200 字（前 50 字出現 ≥ 3 次觸發規則 7）
+    base = "本週業績有顯著成長，主要驅動類別是家電與生活雜貨大類別。額外文字。"
+    repeated = base * 8
+    assert len(repeated) > 200
+    assert _is_low_quality_response(repeated) is True
+
+
+def test_rule7_normal_long_text_acceptable():
+    """正常長文（即使重複某些字）不該被誤判為迴圈"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    normal_long = (
+        "本週業績整體呈現上升趨勢，主要驅動類別為家電與生活雜貨大類別。\n"
+        "競品動向：PChome 在 3C 類發動大規模補貼戰，預估壓縮我方 3-5 個百分點毛利率。\n"
+        "蝦皮也在母嬰用品加碼免運券促銷，需密切觀察跟降節奏。\n"
+        "建議行動：(1) 加碼家電促銷檔期 (2) 觀察 PChome 補貼是否延續至下週 "
+        "(3) 對價差大於 5% 的 SKU 主動啟動 EA 流程。"
+    )
+    # 雖然「主要」「促銷」等詞可能重複，但前 50 字的整體 substring 不會出現 ≥ 3 次
+    assert _is_low_quality_response(normal_long) is False
+
+
+def test_rule8_placeholder_markers_rejected():
+    """偵測佔位符 / 未實作標記"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    cases = [
+        # {{var}} jinja unfilled
+        "本週業績：{{revenue}} 元，較上週成長 {{wow_pct}}%。建議行動 ...",
+        # [TODO] / [todo]
+        "本週銷售分析：[TODO] 補上具體數字後完成此段。",
+        "業績檢討：競品分析 [todo] 待補充。",
+        # <待填>
+        "本週概況：營收 NT$<待填>，毛利率 <待填>。",
+        # 尚未實作
+        "策略建議：(尚未實作) 請統帥手動補充。",
+    ]
+    for text in cases:
+        # 補長度避免被規則 1 拒（< 50 字）
+        text = text + "（測試填充內容延長至大於 50 字）"
+        assert _is_low_quality_response(text) is True, f"應拒絕含佔位符: {text[:30]}"
+
+
+def test_legitimate_chinese_business_text_passes():
+    """合法繁中商業文字應通過所有 8 條規則"""
+    from services.openclaw_strategist_service import _is_low_quality_response
+
+    text = (
+        "本週業績分析（2026-05-04）：\n"
+        "總營收 NT$ 4,230,000，較上週成長 12.3% WoW。\n"
+        "主要驅動類別：家電（+18%）、生活雜貨（+9%）。\n"
+        "競品動向：PChome 在 3C 類補貼戰預估壓縮我方 3-5pp 毛利率。\n"
+        "建議行動：加碼家電檔期，對價差 > 5% SKU 啟動 EA 流程。"
+    )
+    assert _is_low_quality_response(text) is False
diff --git a/tests/test_ppt_vision_service.py b/tests/test_ppt_vision_service.py
new file mode 100644
index 0000000..bda4b27
--- /dev/null
+++ b/tests/test_ppt_vision_service.py
@@ -0,0 +1,135 @@
+"""
+tests/test_ppt_vision_service.py
+─────────────────────────────────────────────────────────────────
+Operation Ollama-First v5.0 / Phase 14 — PPT vision (minicpm-v) 驗證
+"""
+
+import os
+import tempfile
+from unittest.mock import patch, MagicMock
+
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def _reset_env(monkeypatch):
+    monkeypatch.delenv('PPT_VISION_ENABLED', raising=False)
+    yield
+
+
+@pytest.fixture
+def fake_image():
+    """產生 1KB 假 png 檔給 test 用"""
+    f = tempfile.NamedTemporaryFile(suffix='.png', delete=False)
+    f.write(b'\x89PNG\r\n\x1a\n' + b'\x00' * 1000)  # PNG magic + 1KB padding
+    f.close()
+    yield f.name
+    try:
+        os.unlink(f.name)
+    except Exception:
+        pass
+
+
+def test_flag_off_returns_disabled_error(fake_image):
+    """flag OFF 時 check_image 直接回 success=False（不打 HTTP）"""
+    from services.ppt_vision_service import PPTVisionService
+
+    svc = PPTVisionService()
+    with patch('services.ppt_vision_service.requests.post') as mock_post:
+        result = svc.check_image(fake_image)
+
+    assert result.success is False
+    assert 'PPT_VISION_ENABLED=false' in (result.error or '')
+    mock_post.assert_not_called()
+
+
+def test_missing_image_file(monkeypatch):
+    monkeypatch.setenv('PPT_VISION_ENABLED', 'true')
+    from services.ppt_vision_service import PPTVisionService
+
+    svc = PPTVisionService()
+    result = svc.check_image('/tmp/this_file_does_not_exist_xyz.png')
+
+    assert result.success is False
+    assert 'image not found' in (result.error or '')
+
+
+def test_no_issues_response(fake_image, monkeypatch):
+    """minicpm-v 回「✅ 無視覺異常」→ issues_found 應為空 list"""
+    monkeypatch.setenv('PPT_VISION_ENABLED', 'true')
+    from services.ppt_vision_service import PPTVisionService
+
+    fake_resp = MagicMock(status_code=200)
+    fake_resp.json.return_value = {'response': '✅ 無視覺異常'}
+
+    with patch('services.ollama_service.resolve_ollama_host',
+               return_value='http://test:11434'), \
+         patch('services.ppt_vision_service.requests.post', return_value=fake_resp):
+        svc = PPTVisionService()
+        result = svc.check_image(fake_image)
+
+    assert result.success is True
+    assert result.issues_found == []
+    assert result.confidence == 1.0
+
+
+def test_issues_detected(fake_image, monkeypatch):
+    """minicpm-v 回多個 ⚠️ marker → issues_found 應含解析的問題"""
+    monkeypatch.setenv('PPT_VISION_ENABLED', 'true')
+    from services.ppt_vision_service import PPTVisionService
+
+    fake_resp = MagicMock(status_code=200)
+    fake_resp.json.return_value = {
+        'response': '⚠️ 圖表被切掉：右側長條圖超出邊界\n'
+                    '⚠️ 文字溢出：商品標題被遮擋\n'
+                    '其他無問題'
+    }
+
+    with patch('services.ollama_service.resolve_ollama_host',
+               return_value='http://test:11434'), \
+         patch('services.ppt_vision_service.requests.post', return_value=fake_resp):
+        svc = PPTVisionService()
+        result = svc.check_image(fake_image)
+
+    assert result.success is True
+    assert len(result.issues_found) == 2
+    assert any('圖表被切掉' in i for i in result.issues_found)
+    assert any('文字溢出' in i for i in result.issues_found)
+    assert result.confidence > 0.5
+
+
+def test_http_500_marks_unhealthy(fake_image, monkeypatch):
+    """HTTP 500 → success=False + mark_unhealthy 被呼叫"""
+    monkeypatch.setenv('PPT_VISION_ENABLED', 'true')
+    from services.ppt_vision_service import PPTVisionService
+
+    fake_resp = MagicMock(status_code=500)
+    fake_resp.text = 'oops'
+
+    with patch('services.ollama_service.resolve_ollama_host',
+               return_value='http://test:11434'), \
+         patch('services.ollama_service.mark_unhealthy') as mock_mark, \
+         patch('services.ppt_vision_service.requests.post', return_value=fake_resp):
+        svc = PPTVisionService()
+        result = svc.check_image(fake_image)
+
+    assert result.success is False
+    assert 'HTTP 500' in (result.error or '')
+    mock_mark.assert_called_once_with('http://test:11434')
+
+
+def test_timeout_returns_failure(fake_image, monkeypatch):
+    monkeypatch.setenv('PPT_VISION_ENABLED', 'true')
+    from services.ppt_vision_service import PPTVisionService
+
+    import requests
+    with patch('services.ollama_service.resolve_ollama_host',
+               return_value='http://test:11434'), \
+         patch('services.ollama_service.mark_unhealthy'), \
+         patch('services.ppt_vision_service.requests.post',
+               side_effect=requests.Timeout('60s')):
+        svc = PPTVisionService()
+        result = svc.check_image(fake_image)
+
+    assert result.success is False
+    assert 'timeout' in (result.error or '').lower()