zhanggangyong
647f9e6e31
- search_agent: 支持 MODEL_NAME 环境变量配置模型名称 - a2a_litellm_agent: 支持 MODEL_NAME 或 LITELLM_MODEL 环境变量 - mysql_agent/postgresql_agent: 新增数据库查询 agent - echo_agent: 新增回显测试 agent - jina_search_agent: 新增 Jina 搜索 agent - 更新 callback_utils 默认回调 URL - 优化 k8s_manager 模板端口和镜像映射 - 清理冗余文件和备份文件
783 lines
29 KiB
Python
783 lines
29 KiB
Python
"""
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FastAPI Web服务 - AI Agent管理服务
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支持平台Agent和自定义Agent两种类型
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"""
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from fastapi import FastAPI, HTTPException, Depends
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from pydantic import BaseModel, Field
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from typing import Dict, List, Optional
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from sqlalchemy.orm import Session
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from datetime import datetime
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import logging
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from k8s_manager import K8sManager
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from database import (
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get_db, Template, Agent, Quota, AgentMetric,
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AgentType, AgentStatus, parse_resource_string
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)
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import os
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# 配置日志
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# 创建FastAPI应用
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app = FastAPI(
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title="AI Agent Manager",
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description="Kubernetes AI Agent管理服务",
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version="1.0.0"
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)
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# 初始化K8s管理器
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NAMESPACE = os.getenv("NAMESPACE", "ai-agents")
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KUBECONFIG_PATH = os.getenv("KUBECONFIG_PATH", None) # 可选：指定kubeconfig路径
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k8s_manager = K8sManager(namespace=NAMESPACE, kubeconfig_path=KUBECONFIG_PATH)
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# ==================== 请求/响应模型 ====================
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# Template Management Models
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class CreateTemplateRequest(BaseModel):
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"""创建模板请求"""
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name: str = Field(..., min_length=1, max_length=100)
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display_name: str
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description: Optional[str] = None
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agent_type: str = Field(..., description="platform or custom")
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agent_framework: str = Field(default="langchain", description="langchain, mcp, or a2a")
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image: str
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port: Optional[int] = None
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env_requirements: Optional[Dict] = Field(default_factory=dict)
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tools_config: Optional[Dict] = Field(default_factory=dict, description="Tools configuration JSON")
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default_model_provider: Optional[str] = Field(None, description="Default model provider")
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default_model_name: Optional[str] = Field(None, description="Default model name")
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cpu_request: Optional[str] = None
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cpu_limit: Optional[str] = None
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memory_request: Optional[str] = None
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memory_limit: Optional[str] = None
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min_replicas: int = 1
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max_replicas: int = 3
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target_cpu_utilization: int = 80
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class UpdateTemplateRequest(BaseModel):
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"""更新模板请求"""
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display_name: Optional[str] = None
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description: Optional[str] = None
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image: Optional[str] = None
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port: Optional[int] = None
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env_requirements: Optional[Dict] = None
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cpu_request: Optional[str] = None
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cpu_limit: Optional[str] = None
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memory_request: Optional[str] = None
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memory_limit: Optional[str] = None
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min_replicas: Optional[int] = None
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max_replicas: Optional[int] = None
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target_cpu_utilization: Optional[int] = None
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is_active: Optional[bool] = None
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class TemplateResponse(BaseModel):
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"""模板响应"""
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id: int
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name: str
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display_name: str
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description: Optional[str]
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agent_type: str
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image: str
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port: Optional[int]
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env_requirements: Dict
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cpu_request: Optional[str]
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cpu_limit: Optional[str]
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memory_request: Optional[str]
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memory_limit: Optional[str]
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min_replicas: int
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max_replicas: int
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target_cpu_utilization: int
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is_active: bool
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created_at: datetime
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class Config:
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from_attributes = True
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# Platform Agent Models
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class CreatePlatformAgentRequest(BaseModel):
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"""创建平台Agent请求"""
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name: str = Field(..., min_length=1, max_length=63)
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template_name: str
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owner_id: str
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channel_id: Optional[str] = None
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tenant_id: Optional[str] = None
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namespace: Optional[str] = Field(default="ai-agents", description="Kubernetes namespace")
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query_params: Optional[Dict] = Field(default_factory=dict)
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# NEW: Framework-specific configurations
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agent_framework: Optional[str] = Field(None, description="Override template framework")
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tools_config: Optional[Dict] = Field(default_factory=dict, description="Tools configuration")
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tool_endpoint: Optional[str] = Field(None, description="External tool endpoint")
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tool_api_key: Optional[str] = Field(None, description="Tool API key")
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model_provider: Optional[str] = Field(None, description="Model provider")
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model_name: Optional[str] = Field(None, description="Model name")
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model_endpoint: Optional[str] = Field(None, description="Model endpoint")
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model_api_key: Optional[str] = Field(None, description="Model API key")
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storage_connection_string: Optional[str] = Field(None, description="Storage connection string")
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storage_account_name: Optional[str] = Field(None, description="Storage account name")
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# Custom Agent Models
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class ScalingConfig(BaseModel):
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"""弹性伸缩配置"""
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min_replicas: int = Field(1, ge=0)
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max_replicas: int = Field(3, ge=1)
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target_cpu_utilization: int = Field(80, ge=1, le=100)
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class CreateCustomAgentRequest(BaseModel):
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"""创建自定义Agent请求"""
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name: str = Field(..., min_length=1, max_length=63)
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template_name: str
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owner_id: str
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channel_id: Optional[str] = None
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tenant_id: Optional[str] = None
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namespace: Optional[str] = Field(default="ai-agents", description="Kubernetes namespace")
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environment_vars: Dict[str, str]
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# NEW: Framework-specific configurations
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agent_framework: Optional[str] = Field(None, description="Override template framework")
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tools_config: Optional[Dict] = Field(default_factory=dict, description="Tools configuration")
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tool_endpoint: Optional[str] = Field(None, description="External tool endpoint")
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tool_api_key: Optional[str] = Field(None, description="Tool API key")
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model_provider: Optional[str] = Field(None, description="Model provider")
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model_name: Optional[str] = Field(None, description="Model name")
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model_endpoint: Optional[str] = Field(None, description="Model endpoint")
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model_api_key: Optional[str] = Field(None, description="Model API key")
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storage_connection_string: Optional[str] = Field(None, description="Storage connection string")
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storage_account_name: Optional[str] = Field(None, description="Storage account name")
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# Resource configuration
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cpu_request: Optional[str] = None
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cpu_limit: Optional[str] = None
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memory_request: Optional[str] = None
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memory_limit: Optional[str] = None
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scaling_config: Optional[ScalingConfig] = None
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class UpdateAgentEnvRequest(BaseModel):
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"""更新Agent环境变量请求"""
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environment_vars: Dict[str, str]
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class UpdateScalingRequest(BaseModel):
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"""更新伸缩配置请求"""
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min_replicas: Optional[int] = None
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max_replicas: Optional[int] = None
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target_cpu_utilization: Optional[int] = None
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# Unified Agent Response
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class AgentResponseNew(BaseModel):
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"""Agent响应（新）"""
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id: int
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name: str
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display_name: Optional[str]
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template_name: str
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agent_type: str
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status: str
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owner_id: str
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channel_id: Optional[str]
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tenant_id: Optional[str]
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service_url: Optional[str]
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current_replicas: int
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min_replicas: int
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max_replicas: int
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created_at: datetime
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last_accessed_at: Optional[datetime]
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class Config:
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from_attributes = True
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# Legacy Models (for backward compatibility)
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class CreateAgentRequest(BaseModel):
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"""创建Agent请求（旧版）"""
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name: str = Field(..., description="Agent名称", min_length=1, max_length=63)
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template: str = Field(..., description="模板类型")
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framework: Optional[str] = Field(default="API", description="Agent框架类型: MCP, A2A, API")
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config: Dict = Field(default_factory=dict, description="配置信息")
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env: Optional[Dict[str, str]] = Field(default_factory=dict, description="环境变量")
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namespace: Optional[str] = Field(default=None, description="Kubernetes命名空间，默认使用环境变量NAMESPACE的值")
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class AgentResponse(BaseModel):
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"""Agent响应"""
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name: str
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namespace: str
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status: str
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framework: Optional[str] = None
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created_at: Optional[str] = None
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template: Optional[str] = None
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service_port: Optional[int] = None
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access_info: Optional[Dict] = None
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pod_id: Optional[str] = None
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pod_ip: Optional[str] = None
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host_ip: Optional[str] = None
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node_name: Optional[str] = None
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owner_info: Optional[Dict] = None
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class ResourceUsage(BaseModel):
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"""资源使用情况"""
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cpu: Optional[str] = None
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memory: Optional[str] = None
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available: Optional[bool] = None
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reason: Optional[str] = None
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class ResourceInfo(BaseModel):
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"""资源信息（配额和使用情况）"""
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requests: Optional[Dict] = None
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limits: Optional[Dict] = None
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usage: Optional[ResourceUsage] = None
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class PodStatusResponse(BaseModel):
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"""Pod状态响应"""
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name: str
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namespace: str
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status: str
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health_status: Optional[str] = None # 新增：健康状态 (healthy, unhealthy, degraded)
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template: Optional[str] = None
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framework: Optional[str] = None # Agent框架类型 (MCP, A2A, API)
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created_at: Optional[str] = None
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node: Optional[str] = None
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pod_ip: Optional[str] = None
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containers: Optional[List[Dict]] = None # 新增：容器详细信息
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resources: Optional[ResourceInfo] = None
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service_port: Optional[int] = None
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access_url: Optional[str] = None
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endpoints: Optional[Dict] = None
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conditions: Optional[List[Dict]] = None
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# 访问信息（从数据库读取）
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access_info: Optional[Dict] = None # 包含 external_ip, domain, URLs 等
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class PodMetricsResponse(BaseModel):
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"""Pod资源使用响应"""
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name: str
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namespace: Optional[str] = None
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requests: Dict
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limits: Dict
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usage: Optional[Dict] = None # 实时使用情况（需要 metrics-server）
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timestamp: Optional[str] = None # metrics 时间戳
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metrics_available: Optional[bool] = None # metrics-server 是否可用
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class MessageResponse(BaseModel):
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"""通用消息响应"""
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status: str
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message: str
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@app.get("/")
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async def root():
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"""健康检查"""
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return {
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"service": "AI Agent Manager",
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"status": "running",
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"namespace": NAMESPACE
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}
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@app.post("/agents", response_model=AgentResponse)
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async def create_agent(request: CreateAgentRequest, db: Session = Depends(get_db)):
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"""
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创建AI Agent Pod（在独立命名空间中，并创建Service和Ingress）
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Args:
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request: 创建请求（name, template, config, namespace可选, user_id可选）
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db: 数据库会话
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Returns:
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创建的Agent信息包括pod_id、service和ingress信息
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"""
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try:
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logger.info(f"收到创建Agent请求: {request.name}, 模板: {request.template}")
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# 验证模板类型
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valid_templates = ["echo_agent", "search_agent", "mysql_agent", "postgresql_agent", "jina_search_agent", "azure_blob_agent", "azure_blob_agent_mcp", "azure_blob_agent_a2a", "a2a_litellm_agent"]
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if request.template not in valid_templates:
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raise HTTPException(
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status_code=400,
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detail=f"无效的模板类型。支持的模板: {', '.join(valid_templates)}"
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)
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# 验证 framework 类型
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valid_frameworks = ["MCP", "A2A", "API"]
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framework = (request.framework or "API").upper()
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if framework not in valid_frameworks:
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raise HTTPException(
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status_code=400,
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detail=f"无效的框架类型。支持的框架: {', '.join(valid_frameworks)}"
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)
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# 合并环境变量到config
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config_data = request.config.copy()
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config_data["agent_framework"] = framework # 添加框架类型到配置
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if request.env:
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config_data["env"] = request.env
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logger.info(f"环境变量: {list(request.env.keys())}")
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# 添加 user_id 标签
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user_id = config_data.get("user_id", "default")
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if "labels" not in config_data:
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config_data["labels"] = {}
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config_data["labels"]["user-id"] = user_id
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config_data["labels"]["managed-by"] = "agent-manager"
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config_data["labels"]["app"] = request.name
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config_data["labels"]["framework"] = framework.lower() # 添加框架标签
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# 步骤1: 为每个Agent创建独立的命名空间
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agent_namespace = k8s_manager.create_agent_namespace(
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agent_name=request.name,
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owner_id=user_id
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)
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logger.info(f"✅ Agent {request.name} 将部署在独立命名空间: {agent_namespace}")
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# 步骤2: 创建Pod（在独立命名空间中）
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temp_manager = K8sManager(namespace=agent_namespace, kubeconfig_path=KUBECONFIG_PATH)
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result = temp_manager.create_pod(
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pod_name=request.name,
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template=request.template,
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config_data=config_data
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)
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# 步骤3: 获取服务端口
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service_port = k8s_manager.TEMPLATE_PORTS.get(request.template)
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# 步骤4: 创建 LoadBalancer Service（AKS 会自动分配外网 IP）
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service_info = None
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dns_info = None
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if service_port:
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try:
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import time
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time.sleep(2) # 等待Pod启动
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# 创建 LoadBalancer Service
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service_info = temp_manager.create_service(
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service_name=f"{request.name}-service",
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namespace=agent_namespace,
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pod_selector={"app": request.name},
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service_port=80, # 外部访问端口
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target_port=service_port # Pod内部端口
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)
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logger.info(f"✅ LoadBalancer Service 创建成功: {service_info['name']}")
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# 步骤5: 等待 LoadBalancer IP 分配并创建 DNS
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try:
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logger.info("等待 LoadBalancer 外网 IP 分配...")
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external_ip = temp_manager.wait_for_loadbalancer_ip(
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service_name=f"{request.name}-service",
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namespace=agent_namespace,
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max_wait=120, # 最多等待2分钟
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interval=5
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)
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service_info["external_ip"] = external_ip
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logger.info(f"✅ LoadBalancer 外网 IP: {external_ip}")
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# 步骤6: 自动创建 Azure DNS 记录
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try:
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logger.info(f"创建 DNS 记录: {request.name}.taijiagnet.com")
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dns_info = temp_manager.create_dns_record(
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subdomain=request.name,
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ip_address=external_ip
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)
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logger.info(f"✅ DNS 记录: {dns_info['domain']} -> {external_ip}")
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except Exception as e:
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logger.warning(f"DNS 记录创建失败: {str(e)}")
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dns_info = {"status": "failed", "error": str(e)}
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except Exception as e:
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logger.warning(f"等待 LoadBalancer IP 超时: {str(e)}")
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logger.info(" 外网 IP 将在后台继续分配")
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except Exception as e:
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logger.warning(f"创建 LoadBalancer Service 失败: {str(e)}")
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# 获取 Pod 详细信息（包括 pod_id）
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try:
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import time
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time.sleep(1) # 等待 Pod 创建完成
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pod = temp_manager.v1.read_namespaced_pod(
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name=request.name,
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namespace=agent_namespace
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)
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result["pod_id"] = pod.metadata.uid
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result["pod_ip"] = pod.status.pod_ip
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result["host_ip"] = pod.status.host_ip
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result["node_name"] = pod.spec.node_name
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result["namespace"] = agent_namespace # 更新为实际使用的命名空间
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result["framework"] = framework # 添加框架类型到响应
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result["owner_info"] = {
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"user_id": user_id,
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"agent_name": request.name,
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"namespace": agent_namespace,
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"framework": framework,
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"labels": pod.metadata.labels
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}
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# 添加 LoadBalancer Service 信息到响应
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if service_info:
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result["service_info"] = service_info
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# 构建访问信息
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external_ip = service_info.get("external_ip")
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if external_ip:
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# 有外网 IP
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result["access_info"] = {
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"external_ip": external_ip,
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"ip_url": f"http://{external_ip}:80",
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"service_url": f"http://{service_info['cluster_ip']}:80",
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"pod_url": f"http://{pod.status.pod_ip}:{service_port}" if pod.status.pod_ip and service_port else None
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}
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# 添加 DNS 信息
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if dns_info and dns_info.get("status") == "created":
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result["dns_info"] = dns_info
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result["access_info"]["domain"] = dns_info["domain"]
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result["access_info"]["domain_url"] = f"http://{dns_info['domain']}"
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result["access_info"]["recommended"] = f"http://{dns_info['domain']}"
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logger.info(f" - 推荐访问: http://{dns_info['domain']}")
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else:
|
||
result["access_info"]["recommended"] = f"http://{external_ip}:80"
|
||
logger.info(f" - 外网访问: http://{external_ip}:80")
|
||
else:
|
||
# IP 还在分配中
|
||
result["access_info"] = {
|
||
"status": "pending",
|
||
"external_ip": None,
|
||
"note": "LoadBalancer IP 正在分配中，请稍后查询"
|
||
}
|
||
logger.info(f" - 外网 IP 正在分配中")
|
||
|
||
logger.info(f"✅ Agent创建成功！")
|
||
logger.info(f" - Pod ID: {result['pod_id']}")
|
||
logger.info(f" - Namespace: {agent_namespace}")
|
||
logger.info(f" - User: {user_id}")
|
||
except Exception as e:
|
||
logger.warning(f"获取Pod详细信息失败: {str(e)}")
|
||
|
||
# 保存到数据库
|
||
try:
|
||
# 提取访问信息
|
||
access_info = result.get("access_info", {})
|
||
external_ip = access_info.get("external_ip")
|
||
domain = access_info.get("domain")
|
||
ip_url = access_info.get("ip_url")
|
||
domain_url = access_info.get("domain_url")
|
||
recommended_url = access_info.get("recommended", domain_url or ip_url)
|
||
|
||
# 创建Agent记录
|
||
db_agent = Agent(
|
||
name=request.name,
|
||
display_name=request.name,
|
||
owner_id=user_id,
|
||
agent_type=AgentType.PLATFORM, # 默认为平台类型
|
||
status=AgentStatus.RUNNING,
|
||
agent_framework=framework.lower(),
|
||
namespace=agent_namespace,
|
||
service_name=service_info.get("name") if service_info else None,
|
||
external_ip=external_ip,
|
||
domain=domain,
|
||
ip_url=ip_url,
|
||
domain_url=domain_url,
|
||
recommended_url=recommended_url,
|
||
min_replicas=1,
|
||
max_replicas=1,
|
||
current_replicas=1
|
||
)
|
||
|
||
db.add(db_agent)
|
||
db.commit()
|
||
db.refresh(db_agent)
|
||
logger.info(f"✅ Agent信息已保存到数据库: {db_agent.id}")
|
||
except Exception as e:
|
||
logger.error(f"保存Agent到数据库失败: {str(e)}")
|
||
# 不抛出异常，因为Agent已经在K8s中创建成功
|
||
|
||
return AgentResponse(**result)
|
||
|
||
except Exception as e:
|
||
logger.error(f"创建Agent失败: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@app.delete("/agents/{agent_name}", response_model=MessageResponse)
|
||
async def delete_agent(agent_name: str, db: Session = Depends(get_db)):
|
||
"""
|
||
删除AI Agent（包括独立命名空间、LoadBalancer Service、DNS 记录和数据库记录）
|
||
|
||
Args:
|
||
agent_name: Agent名称
|
||
db: 数据库会话
|
||
|
||
Returns:
|
||
删除结果
|
||
"""
|
||
try:
|
||
logger.info(f"收到删除Agent请求: {agent_name}")
|
||
|
||
# 步骤1: 删除 DNS 记录
|
||
try:
|
||
dns_result = k8s_manager.delete_dns_record(subdomain=agent_name)
|
||
if dns_result.get("status") == "deleted":
|
||
logger.info(f"✅ DNS 记录已删除: {dns_result.get('domain')}")
|
||
except Exception as e:
|
||
logger.warning(f"删除 DNS 记录失败（可忽略）: {str(e)}")
|
||
|
||
# 步骤2: 删除 Agent 的独立命名空间（会自动删除Pod、Service等所有资源）
|
||
result = k8s_manager.delete_agent_namespace(agent_name=agent_name)
|
||
|
||
if result.get("status") == "not_found":
|
||
raise HTTPException(status_code=404, detail=result.get("message"))
|
||
|
||
# 步骤3: 从数据库删除Agent记录
|
||
try:
|
||
db_agent = db.query(Agent).filter(Agent.name == agent_name).first()
|
||
if db_agent:
|
||
db.delete(db_agent)
|
||
db.commit()
|
||
logger.info(f"✅ Agent数据库记录已删除: {agent_name}")
|
||
else:
|
||
logger.warning(f"⚠️ Agent {agent_name} 在数据库中未找到")
|
||
except Exception as db_error:
|
||
logger.error(f"删除数据库记录失败: {str(db_error)}")
|
||
# 不抛出异常，因为K8s资源已经删除
|
||
|
||
logger.info(f"✅ Agent {agent_name} 及其所有资源删除成功")
|
||
return MessageResponse(**result)
|
||
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
logger.error(f"删除Agent失败: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@app.get("/agents/{agent_name}/status", response_model=PodStatusResponse)
|
||
async def get_agent_status(agent_name: str, db: Session = Depends(get_db)):
|
||
"""
|
||
获取Agent详细状态（包括访问信息）
|
||
|
||
Args:
|
||
agent_name: Agent名称
|
||
db: 数据库会话
|
||
|
||
Returns:
|
||
Agent状态信息（包括Pod状态和访问信息）
|
||
"""
|
||
try:
|
||
logger.info(f"获取Agent状态: {agent_name}")
|
||
|
||
# 从Kubernetes获取Pod状态
|
||
result = k8s_manager.get_pod_status(pod_name=agent_name)
|
||
|
||
if result.get("status") == "not_found":
|
||
raise HTTPException(status_code=404, detail=result.get("message"))
|
||
|
||
# 从数据库获取Agent记录（包含访问信息）
|
||
try:
|
||
db_agent = db.query(Agent).filter(Agent.name == agent_name).first()
|
||
|
||
if db_agent:
|
||
# 添加框架类型
|
||
result["framework"] = db_agent.agent_framework.upper() if db_agent.agent_framework else "API"
|
||
|
||
# 添加访问信息
|
||
access_info = {}
|
||
|
||
if db_agent.external_ip:
|
||
access_info["external_ip"] = db_agent.external_ip
|
||
|
||
if db_agent.ip_url:
|
||
access_info["ip_url"] = db_agent.ip_url
|
||
|
||
if db_agent.domain:
|
||
access_info["domain"] = db_agent.domain
|
||
|
||
if db_agent.domain_url:
|
||
access_info["domain_url"] = db_agent.domain_url
|
||
|
||
if db_agent.recommended_url:
|
||
access_info["recommended_url"] = db_agent.recommended_url
|
||
|
||
if db_agent.service_name:
|
||
access_info["service_name"] = db_agent.service_name
|
||
|
||
# 只有当有访问信息时才添加
|
||
if access_info:
|
||
result["access_info"] = access_info
|
||
logger.info(f"✅ 已添加访问信息: domain={db_agent.domain}, ip={db_agent.external_ip}")
|
||
else:
|
||
logger.warning(f"⚠️ Agent {agent_name} 在数据库中没有访问信息")
|
||
else:
|
||
logger.warning(f"⚠️ Agent {agent_name} 在数据库中未找到，可能是在数据库启用前创建的")
|
||
|
||
except Exception as db_error:
|
||
logger.error(f"从数据库读取访问信息失败: {str(db_error)}")
|
||
# 不抛出异常，继续返回Pod状态信息
|
||
|
||
return PodStatusResponse(**result)
|
||
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
logger.error(f"获取Agent状态失败: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@app.get("/agents/{agent_name}/metrics", response_model=PodMetricsResponse)
|
||
async def get_agent_metrics(agent_name: str):
|
||
"""
|
||
获取Agent资源使用情况
|
||
|
||
Args:
|
||
agent_name: Agent名称
|
||
|
||
Returns:
|
||
Agent资源使用信息
|
||
"""
|
||
try:
|
||
logger.info(f"获取Agent资源信息: {agent_name}")
|
||
result = k8s_manager.get_pod_metrics(pod_name=agent_name)
|
||
return PodMetricsResponse(**result)
|
||
|
||
except Exception as e:
|
||
logger.error(f"获取Agent资源信息失败: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@app.get("/agents")
|
||
async def list_agents(template: Optional[str] = None):
|
||
"""
|
||
列出所有Agent
|
||
|
||
Args:
|
||
template: 模板类型过滤（可选）
|
||
|
||
Returns:
|
||
Agent列表
|
||
"""
|
||
try:
|
||
logger.info(f"列出Agents, 模板过滤: {template}")
|
||
|
||
label_selector = "managed-by=agent-manager"
|
||
if template:
|
||
label_selector += f",template={template}"
|
||
|
||
result = k8s_manager.list_pods(label_selector=label_selector)
|
||
return {"agents": result, "count": len(result)}
|
||
|
||
except Exception as e:
|
||
logger.error(f"列出Agents失败: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@app.get("/templates")
|
||
async def list_templates():
|
||
"""
|
||
列出所有可用的Agent模板及其所需参数
|
||
|
||
Returns:
|
||
模板列表及其配置信息
|
||
"""
|
||
valid_templates = ["echo_agent", "search_agent", "mysql_agent", "postgresql_agent", "jina_search_agent", "azure_blob_agent", "azure_blob_agent_mcp", "azure_blob_agent_a2a", "a2a_litellm_agent"]
|
||
|
||
templates_info = []
|
||
for template in valid_templates:
|
||
info = k8s_manager.get_template_info(template)
|
||
templates_info.append(info)
|
||
|
||
return {
|
||
"templates": templates_info,
|
||
"count": len(templates_info)
|
||
}
|
||
|
||
|
||
@app.get("/templates/platform")
|
||
async def list_platform_templates():
|
||
"""
|
||
获取平台 Agent 镜像列表
|
||
|
||
Returns:
|
||
平台提供的Agent模板列表
|
||
"""
|
||
# 平台 Agent 是预定义的标准模板
|
||
platform_templates = ["echo_agent", "search_agent", "jina_search_agent", "azure_blob_agent", "azure_blob_agent_mcp", "azure_blob_agent_a2a", "a2a_litellm_agent"]
|
||
|
||
templates_info = []
|
||
for template in platform_templates:
|
||
info = k8s_manager.get_template_info(template)
|
||
info["type"] = "platform"
|
||
templates_info.append(info)
|
||
|
||
return {
|
||
"templates": templates_info,
|
||
"count": len(templates_info),
|
||
"type": "platform"
|
||
}
|
||
|
||
|
||
@app.get("/templates/custom")
|
||
async def list_custom_templates():
|
||
"""
|
||
获取自定义 Agent 镜像列表
|
||
|
||
Returns:
|
||
用户自定义的Agent模板列表
|
||
"""
|
||
# 自定义 Agent 是用户可以配置数据库连接的模板
|
||
custom_templates = ["mysql_agent", "postgresql_agent"]
|
||
|
||
templates_info = []
|
||
for template in custom_templates:
|
||
info = k8s_manager.get_template_info(template)
|
||
info["type"] = "custom"
|
||
templates_info.append(info)
|
||
|
||
return {
|
||
"templates": templates_info,
|
||
"count": len(templates_info),
|
||
"type": "custom"
|
||
}
|
||
|
||
|
||
@app.get("/templates/{template_name}")
|
||
async def get_template_info(template_name: str):
|
||
"""
|
||
获取指定模板的详细信息
|
||
|
||
Args:
|
||
template_name: 模板名称
|
||
|
||
Returns:
|
||
模板详细信息（端口、所需环境变量等）
|
||
"""
|
||
valid_templates = ["echo_agent", "search_agent", "mysql_agent", "postgresql_agent", "jina_search_agent", "azure_blob_agent", "azure_blob_agent_mcp", "azure_blob_agent_a2a", "a2a_litellm_agent"]
|
||
|
||
if template_name not in valid_templates:
|
||
raise HTTPException(
|
||
status_code=404,
|
||
detail=f"模板 {template_name} 不存在。可用模板: {', '.join(valid_templates)}"
|
||
)
|
||
|
||
return k8s_manager.get_template_info(template_name)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
import uvicorn
|
||
|
||
host = os.getenv("SERVICE_HOST", "0.0.0.0")
|
||
port = int(os.getenv("SERVICE_PORT", "8000"))
|
||
|
||
logger.info(f"启动AI Agent Manager服务: {host}:{port}")
|
||
uvicorn.run(app, host=host, port=port)
|