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3193174 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | """Pydantic schemas for agent API requests and responses."""
from typing import Any
from pydantic import BaseModel, Field
class AgentLLMConfigSchema(BaseModel):
"""API schema mirroring gMAS AgentLLMConfig (without torch tensors)."""
model_name: str | None = None
base_url: str | None = None
api_key: str | None = None
max_tokens: int | None = None
temperature: float | None = None
timeout: float | None = None
top_p: float | None = None
stop_sequences: list[str] | None = None
class AgentCreateRequest(BaseModel):
"""Request body for creating an agent."""
agent_id: str
display_name: str
persona: str = ""
description: str = ""
llm_backbone: str | None = None
llm_config: AgentLLMConfigSchema | None = None
tools: list[str] = Field(default_factory=list)
input_schema: dict[str, Any] | None = None
output_schema: dict[str, Any] | None = None
class AgentUpdateRequest(BaseModel):
"""Request body for updating an agent (all fields optional)."""
display_name: str | None = None
persona: str | None = None
description: str | None = None
llm_backbone: str | None = None
llm_config: AgentLLMConfigSchema | None = None
tools: list[str] | None = None
input_schema: dict[str, Any] | None = None
output_schema: dict[str, Any] | None = None
class AgentResponse(BaseModel):
"""Agent response returned by the API."""
agent_id: str
display_name: str
persona: str = ""
description: str = ""
llm_backbone: str | None = None
llm_config: AgentLLMConfigSchema | None = None
tools: list[str] = Field(default_factory=list)
input_schema: dict[str, Any] | None = None
output_schema: dict[str, Any] | None = None
class AgentTemplate(BaseModel):
"""Predefined agent template."""
template_id: str
name: str
description: str
agent: AgentCreateRequest
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