mirror of
https://github.com/zenlm/engine.git
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85dcfbef20
* Add model * Update loader * Fix llama config usage * Docs * Fix config no_rope_layers * Fix tie_word_embeddings default * Add chat template * Embed the chat templates * Fix embedding template * enable_thinking default true * Update examples * XML tools for smollm3 * Add smollm3 docs * Fix openai examples * Clippy --------- Co-authored-by: Eric Buehler <[email protected]>
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
from enum import Enum
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from typing import List, Optional
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from pydantic import BaseModel, Extra, Field
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from openai import OpenAI
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client = OpenAI(api_key="foobar", base_url="http://localhost:1234/v1/")
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class AirplaneType(str, Enum):
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commercial = "commercial"
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cargo = "cargo"
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private = "private"
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class Airplane(BaseModel):
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id: int = Field(
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..., title="Airplane ID", description="Unique identifier for the airplane"
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)
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model: str = Field(..., title="Model", min_length=1, max_length=100)
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manufacturer: str = Field(..., title="Manufacturer", min_length=1, max_length=100)
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type: AirplaneType = Field(default=AirplaneType.commercial, title="Airplane Type")
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capacity: Optional[int] = Field(None, title="Passenger Capacity", ge=1, le=1000)
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class Fleet(BaseModel):
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fleet_name: str = Field(..., title="Fleet Name", min_length=1, max_length=50)
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airplanes: List[Airplane] = Field(
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..., title="Fleet Airplanes", min_length=1, max_length=3
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)
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completion = client.beta.chat.completions.parse(
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model="default",
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messages=[
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{
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"role": "user",
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"content": "Can you please make me a fleet of airplanes?",
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}
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],
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frequency_penalty=1.0,
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top_p=0.1,
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temperature=0,
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response_format=Fleet,
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)
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event = completion.choices[0].message.parsed
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print(event)
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