test: expand coverage to 70%+ — add utils, config, curator, proxy, integration tests

- Extend test_utils.py: filter_memories_by_time, merge_memories, calculate_token_budget, build_augmented_messages (mocked)
- Extend test_config.py: Config.load() with TOML via tmp_path, CloudConfig helpers, env var api_key
- Add test_curator.py: _parse_json_response, _is_recent, _format_raw_turns, _append_rule_to_file
- Add test_proxy_handler.py: clean_message_content, handle_chat_non_streaming (mocked httpx+qdrant)
- Add test_integration.py: health check, /api/tags, /api/chat non-streaming + streaming via TestClient
- Add pytest.ini (asyncio_mode=auto), add pytest-cov to requirements.txt

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/test_config.py

@@ -39,4 +39,136 @@ class TestEmbeddingDims:
 
     def test_mxbai_embed_large(self):
         """mxbai-embed-large should have 1024 dimensions."""
-        assert EMBEDDING_DIMS["mxbai-embed-large"] == 1024
+        assert EMBEDDING_DIMS["mxbai-embed-large"] == 1024
+
+
+class TestConfigLoad:
+    """Tests for Config.load() with real TOML content."""
+
+    def test_load_from_explicit_path(self, tmp_path):
+        """Config.load() should parse a TOML file at an explicit path."""
+        from app.config import Config
+
+        config_file = tmp_path / "config.toml"
+        config_file.write_text(
+            '[general]\n'
+            'ollama_host = "http://localhost:11434"\n'
+            'qdrant_host = "http://localhost:6333"\n'
+            'qdrant_collection = "test_memories"\n'
+        )
+        cfg = Config.load(str(config_file))
+        assert cfg.ollama_host == "http://localhost:11434"
+        assert cfg.qdrant_host == "http://localhost:6333"
+        assert cfg.qdrant_collection == "test_memories"
+
+    def test_load_layers_section(self, tmp_path):
+        """Config.load() should parse [layers] section correctly."""
+        from app.config import Config
+
+        config_file = tmp_path / "config.toml"
+        config_file.write_text(
+            '[layers]\n'
+            'semantic_token_budget = 5000\n'
+            'context_token_budget = 3000\n'
+            'semantic_score_threshold = 0.75\n'
+        )
+        cfg = Config.load(str(config_file))
+        assert cfg.semantic_token_budget == 5000
+        assert cfg.context_token_budget == 3000
+        assert cfg.semantic_score_threshold == 0.75
+
+    def test_load_curator_section(self, tmp_path):
+        """Config.load() should parse [curator] section correctly."""
+        from app.config import Config
+
+        config_file = tmp_path / "config.toml"
+        config_file.write_text(
+            '[curator]\n'
+            'run_time = "03:30"\n'
+            'curator_model = "mixtral:8x22b"\n'
+        )
+        cfg = Config.load(str(config_file))
+        assert cfg.run_time == "03:30"
+        assert cfg.curator_model == "mixtral:8x22b"
+
+    def test_load_cloud_section(self, tmp_path):
+        """Config.load() should parse [cloud] section correctly."""
+        from app.config import Config
+
+        config_file = tmp_path / "config.toml"
+        config_file.write_text(
+            '[cloud]\n'
+            'enabled = true\n'
+            'api_base = "https://openrouter.ai/api/v1"\n'
+            'api_key_env = "MY_API_KEY"\n'
+            '\n'
+            '[cloud.models]\n'
+            '"gpt-oss:120b" = "openai/gpt-4o"\n'
+        )
+        cfg = Config.load(str(config_file))
+        assert cfg.cloud.enabled is True
+        assert cfg.cloud.api_base == "https://openrouter.ai/api/v1"
+        assert cfg.cloud.api_key_env == "MY_API_KEY"
+        assert "gpt-oss:120b" in cfg.cloud.models
+
+    def test_load_nonexistent_file_returns_defaults(self, tmp_path):
+        """Config.load() with missing file should fall back to defaults."""
+        from app.config import Config
+        import os
+
+        # Point config dir to a place with no config.toml
+        os.environ["VERA_CONFIG_DIR"] = str(tmp_path / "noconfig")
+        try:
+            cfg = Config.load(str(tmp_path / "nonexistent.toml"))
+        finally:
+            del os.environ["VERA_CONFIG_DIR"]
+
+        assert cfg.ollama_host == "http://10.0.0.10:11434"
+
+
+class TestCloudConfig:
+    """Tests for CloudConfig helper methods."""
+
+    def test_is_cloud_model_true(self):
+        """is_cloud_model returns True for registered model name."""
+        from app.config import CloudConfig
+
+        cc = CloudConfig(enabled=True, models={"gpt-oss:120b": "openai/gpt-4o"})
+        assert cc.is_cloud_model("gpt-oss:120b") is True
+
+    def test_is_cloud_model_false(self):
+        """is_cloud_model returns False for unknown model name."""
+        from app.config import CloudConfig
+
+        cc = CloudConfig(enabled=True, models={"gpt-oss:120b": "openai/gpt-4o"})
+        assert cc.is_cloud_model("llama3:70b") is False
+
+    def test_get_cloud_model_existing(self):
+        """get_cloud_model returns mapped cloud model ID."""
+        from app.config import CloudConfig
+
+        cc = CloudConfig(enabled=True, models={"gpt-oss:120b": "openai/gpt-4o"})
+        assert cc.get_cloud_model("gpt-oss:120b") == "openai/gpt-4o"
+
+    def test_get_cloud_model_missing(self):
+        """get_cloud_model returns None for unknown name."""
+        from app.config import CloudConfig
+
+        cc = CloudConfig(enabled=True, models={})
+        assert cc.get_cloud_model("unknown") is None
+
+    def test_api_key_from_env(self, monkeypatch):
+        """api_key property reads from environment variable."""
+        from app.config import CloudConfig
+
+        monkeypatch.setenv("MY_TEST_KEY", "sk-secret")
+        cc = CloudConfig(api_key_env="MY_TEST_KEY")
+        assert cc.api_key == "sk-secret"
+
+    def test_api_key_missing_from_env(self, monkeypatch):
+        """api_key returns None when env var is not set."""
+        from app.config import CloudConfig
+
+        monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
+        cc = CloudConfig(api_key_env="OPENROUTER_API_KEY")
+        assert cc.api_key is None