feat: agent platform initial commit
- FastAPI + HTMX UI: dashboard, agents CRUD, chat, audit, tools - SQLite schema: agents, conversations, messages, audit, sessions - Code-agent sync (agents/*.py -> DB on startup) - MCP client with health check - Token auth (Bearer + session) - LiteLLM integration via llm.py - Docker Compose: agent-platform + mcp-tools services - Smoke tests pass: /health 200, /api/agents 200, / 401
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"""Pydantic-Schema für hardcoded Agents.
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Beispiel:
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# agents/recherche.py
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from agents.base import BaseAgent, AgentConfig
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class RechercheAgent(BaseAgent):
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config = AgentConfig(
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id="recherche",
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name="Recherche-Assistent",
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description="Recherchiert Themen und fasst zusammen.",
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system_prompt="Du bist ein Recherche-Assistent...",
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allowed_tools=["http_get"],
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)
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"""
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from abc import ABC
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from typing import List, Optional
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from pydantic import BaseModel, Field
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class AgentConfig(BaseModel):
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"""Type-safe Definition eines hardcoded Agents."""
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id: str = Field(..., pattern=r'^[a-z0-9_-]+$', min_length=1, max_length=64)
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name: str = Field(..., min_length=1)
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description: str = ""
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system_prompt: str = Field(..., min_length=1)
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allowed_tools: List[str] = []
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enabled: bool = True
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model: Optional[str] = None
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temperature: float = Field(default=0.7, ge=0.0, le=2.0)
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max_tokens: int = Field(default=2000, ge=100, le=32000)
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class BaseAgent(ABC):
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"""Marker-Base für Code-Agents. Setze `config` als Class-Variable."""
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config: AgentConfig
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