mirror of
https://github.com/GNS3/gns3-server.git
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161b7feb01
- Include `version` field in all LLM model config response schemas - Add `expected_version` parameter to update endpoints for optimistic locking - Handle concurrent modification errors with HTTP 409 Conflict status - Update both user and group config endpoints consistently
105 lines
3.7 KiB
Python
105 lines
3.7 KiB
Python
#
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# Copyright (C) 2026 GNS3 Technologies Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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from typing import Optional, Dict, Any
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from pydantic import BaseModel, Field, ConfigDict
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from uuid import UUID
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from .base import DateTimeModelMixin
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# Core model config schema (stored in config JSONB field)
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class LLMModelConfigData(BaseModel):
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"""
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LLM model configuration data.
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All fields are stored in the config JSONB column.
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"""
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name: str = Field(..., min_length=1, max_length=100, description="Configuration name")
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provider: str = Field(..., description="LLM provider (e.g., 'openai', 'anthropic', 'ollama')")
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base_url: str = Field(..., description="API base URL")
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model: str = Field(..., description="Model name")
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temperature: float = Field(default=0.7, ge=0.0, le=2.0, description="Temperature parameter")
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api_key: Optional[str] = Field(None, description="API key (will be encrypted)")
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max_tokens: Optional[int] = Field(None, gt=0, description="Max tokens for generation")
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# Allow extra fields for extensibility
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model_config = ConfigDict(extra="allow")
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# Request schemas
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class LLMModelConfigCreate(LLMModelConfigData):
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"""Request to create a new LLM model configuration."""
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is_default: Optional[bool] = Field(False, description="Set as default configuration")
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class LLMModelConfigUpdate(BaseModel):
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"""Request to update an existing LLM model configuration."""
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name: Optional[str] = Field(None, min_length=1, max_length=100)
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provider: Optional[str] = None
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base_url: Optional[str] = None
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model: Optional[str] = None
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temperature: Optional[float] = Field(None, ge=0.0, le=2.0)
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api_key: Optional[str] = None
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max_tokens: Optional[int] = Field(None, gt=0)
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is_default: Optional[bool] = None
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expected_version: Optional[int] = Field(None, description="Expected version for optimistic locking")
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# Allow extra fields for extensibility
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model_config = ConfigDict(extra="allow")
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# Response schemas
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class LLMModelConfigResponse(DateTimeModelMixin):
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"""LLM model configuration response."""
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config_id: UUID
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config: LLMModelConfigData
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user_id: Optional[UUID] = None
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group_id: Optional[UUID] = None
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is_default: bool
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version: int = Field(..., description="Optimistic locking version")
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model_config = ConfigDict(from_attributes=True)
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class LLMModelConfigListResponse(BaseModel):
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"""Response containing list of LLM model configurations."""
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configs: list[LLMModelConfigData]
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default_config_id: Optional[UUID] = None
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total: int
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# Inheritance response (user configs + inherited group configs)
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class LLMModelConfigWithSource(LLMModelConfigData):
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"""Model configuration with source information."""
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config_id: UUID
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source: str = Field(..., description="Source: 'user' or 'group'")
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group_name: Optional[str] = Field(None, description="Group name if source is 'group'")
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is_default: bool
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class LLMModelConfigInheritedResponse(BaseModel):
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"""Response containing user's effective configs (own + inherited from groups)."""
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configs: list[LLMModelConfigWithSource]
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default_config: Optional[LLMModelConfigWithSource] = None
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total: int
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