Agent Zero
000c969b13
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5.5 Plugin-Marketplace: - New plugin: marketplace/ (models, routes, services, schemas, config) - MarketplaceListing model (global, no tenant_id) - Ed25519 signature verification via PluginSignature - Endpoints: list, detail, install, verify, categories - Config: MARKETPLACE_SERVER_URL setting 5.6 Agent Memory (persistent): - New plugin: agent_memory/ (models, routes, services, schemas) - AgentMemory model with embedding vector(768) + HNSW index - store_memory() with auto-embedding - retrieve_relevant_memories() with pgvector cosine similarity - Semantic search endpoint 5.7 GraphRAG: - New plugin: graph_rag/ (models, routes, services, provider, schemas) - EntityRelationship model (source/target type+id, relationship_type, metadata) - BFS graph traversal (bidirectional, configurable depth) - GraphRAGSearchProvider registered in unified_search 5.8 Subagents / Multi-Agent: - AgentCoordinator class (create_subtask, wait_for_subtask, aggregate, cancel) - AgentSubtask model + migration 0002_agent_subtasks.sql - 6 new API endpoints for subtask management - Tools registered in AI tool registry 5.9 External Agent API: - external_api.py: POST /run, GET /status, POST /stream (SSE) - Bearer API token authentication - Rate limiting: 10 req/min per token - ExternalAgentRequest/Response schemas 3 new plugins registered in main.py and __init__.py All files py_compile clean
35 lines
935 B
Python
35 lines
935 B
Python
"""Pydantic schemas for the Agent Memory plugin."""
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from __future__ import annotations
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from datetime import datetime
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from pydantic import BaseModel, Field
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class AgentMemoryCreate(BaseModel):
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agent_id: str = Field(..., description="UUID of the agent")
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memory_type: str = Field("fact", max_length=50, description="Type of memory (fact, context, pattern, instruction)")
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content: str = Field(..., min_length=1, description="Memory content text")
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class AgentMemoryUpdate(BaseModel):
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content: str | None = Field(None, min_length=1)
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memory_type: str | None = Field(None, max_length=50)
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class AgentMemoryRead(BaseModel):
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id: str
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agent_id: str
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memory_type: str
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content: str
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owner_id: str | None = None
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created_at: datetime | None = None
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updated_at: datetime | None = None
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score: float = 0.0
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class AgentMemoryListResponse(BaseModel):
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items: list[AgentMemoryRead]
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total: int
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