将flask改成fastapi

plugin/llm_tool_plugin.py

@@ -0,0 +1,51 @@
+from typing import Any, TypedDict
+import pluginlib
+
+from .common import PLUGIN_TYPE_LLM_TOOLS
+
+
+class LLMToolParameter(TypedDict):
+    type: str
+    description: str
+    displayDescription: str
+    required: bool
+
+
+class LLMToolMetadata(TypedDict):
+    name: str
+    displayName: str
+    description: str
+    displayDescription: str
+    parameters: dict[str, LLMToolParameter]
+
+
+@pluginlib.Parent(PLUGIN_TYPE_LLM_TOOLS)
+class LLMToolPlugin:
+    @classmethod
+    @pluginlib.abstractmethod
+    def get_metadata(cls) -> LLMToolMetadata:
+        pass
+
+    def invoke(self, **kwargs) -> str:
+        raise NotImplementedError
+
+
+def llm_tool_metadata_to_openai_tool(llm_tool_metadata: LLMToolMetadata) -> dict[str, Any]:
+    return {
+        "type": "function",
+        "function": {
+            "name": llm_tool_metadata["name"],
+            "description": llm_tool_metadata["description"],
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    k: {
+                        "type": p["type"],
+                        "description": p["description"]
+                    }
+                    for k, p in llm_tool_metadata["parameters"].items()
+                },
+                "required": [k for k, p in llm_tool_metadata["parameters"].items() if p["required"]]
+            }
+        }
+    }