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feat(schemas): simplify LLM model config descriptions

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- Remove redundant "(REQUIRED)" and detailed explanations from context_limit field descriptions
- Shorten copilot_mode descriptions by removing parenthetical details about mode capabilities
- Maintain field formatting consistency across LLMModelConfigData, Create, and Update schemas
This commit is contained in:
YueGuobin 2026-03-11 10:17:06 +08:00
parent 10a827f0c5
commit 1cd4aeb2a2
1 changed files with 12 additions and 6 deletions
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18
gns3server/schemas/controller/llm_model_configs.py
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@ -44,13 +44,15 @@ class LLMModelConfigData(BaseModel):
temperature: float = Field(default=0.7, ge=0.0, le=2.0, description="Temperature parameter")
api_key: Optional[str] = Field(None, description="API key (will be encrypted)")
max_tokens: Optional[int] = Field(None, gt=0, description="Max tokens for generation")
context_limit: int = Field(..., gt=0, description="Model context window limit in K tokens (REQUIRED, e.g., 128 = 128K = 128,000 tokens)")
context_limit: int = Field(
..., gt=0, description="Model context window limit in K tokens (e.g., 128 = 128K tokens)"
)
context_strategy: Literal["conservative", "balanced", "aggressive"] = Field(
"balanced", description="Context trimming strategy: conservative (60%), balanced (75%), aggressive (85%)"
)
copilot_mode: Optional[str] = Field(
None,
description="GNS3-Copilot mode: 'teaching_assistant' (diagnostics only) or 'lab_automation_assistant' (full configuration access)"
description="GNS3-Copilot mode: 'teaching_assistant' or 'lab_automation_assistant'"
)
# Allow extra fields for extensibility
@ -72,13 +74,15 @@ class LLMModelConfigCreate(BaseModel):
temperature: float = Field(default=0.7, ge=0.0, le=2.0)
api_key: Optional[str] = None
max_tokens: Optional[int] = Field(None, gt=0)
context_limit: int = Field(..., gt=0, description="Model context window limit in K tokens (REQUIRED, e.g., 128 = 128K tokens)")
context_limit: int = Field(
..., gt=0, description="Model context window limit in K tokens (e.g., 128 = 128K tokens)"
)
context_strategy: Literal["conservative", "balanced", "aggressive"] = Field(
"balanced", description="Context trimming strategy"
)
copilot_mode: Optional[str] = Field(
None,
description="GNS3-Copilot mode: 'teaching_assistant' (diagnostics only) or 'lab_automation_assistant' (full configuration access)"
description="GNS3-Copilot mode: 'teaching_assistant' or 'lab_automation_assistant'"
)
# Allow extra config fields
@ -101,13 +105,15 @@ class LLMModelConfigUpdate(BaseModel):
temperature: Optional[float] = Field(None, ge=0.0, le=2.0)
api_key: Optional[str] = None
max_tokens: Optional[Union[int, str]] = Field(None, description="Max tokens for generation (can be null)")
context_limit: Optional[int] = Field(None, gt=0, description="Model context window limit in K tokens (e.g., 128 = 128K tokens)")
context_limit: Optional[int] = Field(
None, gt=0, description="Model context window limit in K tokens (e.g., 128 = 128K tokens)"
)
context_strategy: Optional[Literal["conservative", "balanced", "aggressive"]] = Field(
None, description="Context trimming strategy"
)
copilot_mode: Optional[str] = Field(
None,
description="GNS3-Copilot mode: 'teaching_assistant' (diagnostics only) or 'lab_automation_assistant' (full configuration access)"
description="GNS3-Copilot mode: 'teaching_assistant' or 'lab_automation_assistant'"
)
# Allow extra config fields