Skip to main content
Glama
schemas.py2.45 kB
""" API 스키마 정의 """ from typing import Any, Dict, List, Optional from pydantic import BaseModel, Field class ChatRequest(BaseModel): """채팅 요청 모델""" query: str = Field(..., description="사용자 질문", min_length=1) thread_id: Optional[str] = Field(None, description="스레드 ID (선택사항)") class ToolCall(BaseModel): """MCP 툴 호출 정보""" name: str = Field(..., description="툴 이름") arguments: Dict[str, Any] = Field(..., description="툴 인자") result: Optional[Any] = Field(None, description="툴 실행 결과") class ChatResponse(BaseModel): """채팅 응답 모델""" response: str = Field(..., description="AI 응답 텍스트") used_tools: List[ToolCall] = Field(default_factory=list, description="사용된 툴 목록") status: str = Field(..., description="응답 상태 (success/error)") trace: Optional[Dict[str, Any]] = Field(None, description="추적 정보") class HealthResponse(BaseModel): """헬스체크 응답 모델""" status: str = Field(..., description="서비스 상태") details: Optional[Dict[str, Any]] = Field(None, description="상세 상태 정보") class JsonRpcRequest(BaseModel): """JSON-RPC 요청 모델""" jsonrpc: str = Field("2.0", description="JSON-RPC 버전") id: int = Field(..., description="요청 ID") method: str = Field(..., description="메서드 이름") params: Dict[str, Any] = Field(default_factory=dict, description="메서드 파라미터") class JsonRpcResponse(BaseModel): """JSON-RPC 응답 모델""" jsonrpc: str = Field("2.0", description="JSON-RPC 버전") id: int = Field(..., description="요청 ID") result: Optional[Any] = Field(None, description="성공 응답") error: Optional[Dict[str, Any]] = Field(None, description="에러 정보") class MCPTool(BaseModel): """MCP 툴 정보""" name: str = Field(..., description="툴 이름") description: str = Field(..., description="툴 설명") input_schema: Dict[str, Any] = Field(..., description="입력 스키마") class MCPToolsListResponse(BaseModel): """MCP tools/list 응답""" tools: List[MCPTool] = Field(..., description="사용 가능한 툴 목록") class OpenAITool(BaseModel): """OpenAI 툴 포맷""" type: str = Field("function", description="툴 타입") function: Dict[str, Any] = Field(..., description="함수 정보")

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/J-nowcow/github-MCP-practice'

If you have feedback or need assistance with the MCP directory API, please join our Discord server