Pydantic schemas for LLM model configuration and provider management.
# Source: https://github.com/ValueCell-ai/valuecell | License: Apache-2.0 | Copyright You must retain, in the Source form of any Derivative Works
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"""Model-related API schemas."""
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field
class LLMModelConfigData(BaseModel):
"""LLM model configuration used by frontend to prefill UserRequest.
This is a relaxed version of agents.strategy_agent.models.LLMModelConfig,
allowing `api_key` to be optional so the API can return defaults
even when user credentials are not provided.
"""
provider: str = Field(
..., description="Model provider, e.g. 'openrouter', 'google', 'openai'"
)
model_id: str = Field(
...,
... (truncated -- full source via MCP)
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