feat: add MockProvider for LLM compression tests

tests/agent/test_context_manager.py

@@ -13,6 +13,33 @@ sys.path.insert(0, str(Path(__file__).parent.parent.parent))
 from astrbot.core.agent.context.config import ContextConfig
 from astrbot.core.agent.context.manager import ContextManager
 from astrbot.core.agent.message import Message, TextPart
+from astrbot.core.provider.entities import LLMResponse
+
+
+class MockProvider:
+    """模拟 Provider"""
+
+    def __init__(self):
+        self.provider_config = {
+            "id": "test_provider",
+            "model": "gpt-4",
+            "modalities": ["text", "image", "tool_use"],
+        }
+
+    async def text_chat(self, **kwargs):
+        """模拟 LLM 调用，返回摘要"""
+        messages = kwargs.get("messages", [])
+        # 简单的摘要逻辑：返回消息数量统计
+        return LLMResponse(
+            role="assistant",
+            completion_text=f"历史对话包含 {len(messages) - 1} 条消息，主要讨论了技术话题。",
+        )
+
+    def get_model(self):
+        return "gpt-4"
+
+    def meta(self):
+        return MagicMock(id="test_provider", type="openai")
 
 
 class TestContextManager:
@@ -46,9 +73,9 @@ class TestContextManager:
 
     def test_init_with_llm_compressor(self):
         """Test initialization with LLM-based compression."""
-        mock_provider = MagicMock()
+        mock_provider = MockProvider()
         config = ContextConfig(
-            llm_compress_provider=mock_provider,
+            llm_compress_provider=mock_provider,  # type: ignore
             llm_compress_keep_recent=5,
             llm_compress_instruction="Summarize the conversation",
         )
@@ -631,3 +658,27 @@ class TestContextManager:
         # Compressor should have been called
         mock_compress.assert_called_once()
         assert len(result) <= len(messages)
+
+    @pytest.mark.asyncio
+    async def test_llm_compression_with_mock_provider(self):
+        """Test LLM compression using MockProvider."""
+        mock_provider = MockProvider()
+        config = ContextConfig(
+            llm_compress_provider=mock_provider,  # type: ignore
+            llm_compress_keep_recent=3,
+            llm_compress_instruction="请总结对话内容",
+            max_context_tokens=100,
+        )
+        manager = ContextManager(config)
+
+        # Create messages that will trigger compression
+        messages = [
+            self.create_message("user", "x" * 100),
+            self.create_message("assistant", "y" * 100),
+            self.create_message("user", "z" * 100),
+        ]
+
+        result = await manager.process(messages)
+
+        # Should have been compressed
+        assert len(result) <= len(messages)