mirror of
https://github.com/trushildhokiya/allininx-2.git
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88 lines
2.1 KiB
Python
88 lines
2.1 KiB
Python
from datetime import datetime
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from typing import Any, Dict, List, Literal, Optional
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from pydantic import BaseModel, Field, validator
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from reworkd_platform.web.api.agent.analysis import Analysis
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LLM_Model = Literal[
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"gpt-3.5-turbo",
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"gpt-3.5-turbo-16k",
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"gpt-4o",
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]
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Loop_Step = Literal[
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"start",
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"analyze",
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"execute",
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"create",
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"summarize",
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"chat",
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]
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LLM_MODEL_MAX_TOKENS: Dict[LLM_Model, int] = {
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"gpt-3.5-turbo": 4000,
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"gpt-3.5-turbo-16k": 16000,
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"gpt-4o": 8000,
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}
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class ModelSettings(BaseModel):
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model: LLM_Model = Field(default="gpt-4o")
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custom_api_key: Optional[str] = Field(default=None)
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temperature: float = Field(default=0.9, ge=0.0, le=1.0)
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max_tokens: int = Field(default=500, ge=0)
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language: str = Field(default="English")
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@validator("max_tokens")
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def validate_max_tokens(cls, v: float, values: Dict[str, Any]) -> float:
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model = values["model"]
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if v > (max_tokens := LLM_MODEL_MAX_TOKENS[model]):
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raise ValueError(f"Model {model} only supports {max_tokens} tokens")
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return v
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class AgentRunCreate(BaseModel):
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goal: str
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model_settings: ModelSettings = Field(default=ModelSettings())
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class AgentRun(AgentRunCreate):
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run_id: str
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class AgentTaskAnalyze(AgentRun):
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task: str
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tool_names: List[str] = Field(default=[])
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model_settings: ModelSettings = Field(default=ModelSettings())
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class AgentTaskExecute(AgentRun):
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task: str
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analysis: Analysis
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class AgentTaskCreate(AgentRun):
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tasks: List[str] = Field(default=[])
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last_task: Optional[str] = Field(default=None)
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result: Optional[str] = Field(default=None)
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completed_tasks: List[str] = Field(default=[])
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class AgentSummarize(AgentRun):
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results: List[str] = Field(default=[])
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class AgentChat(AgentRun):
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message: str
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results: List[str] = Field(default=[])
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class NewTasksResponse(BaseModel):
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run_id: str
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new_tasks: List[str] = Field(alias="newTasks")
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class RunCount(BaseModel):
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count: int
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first_run: Optional[datetime]
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last_run: Optional[datetime]
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