mirror of
https://github.com/zenlm/engine.git
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c3be7b6be4
* 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]>
45 lines
1.0 KiB
Python
45 lines
1.0 KiB
Python
from openai import OpenAI
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client = OpenAI(api_key="foobar", base_url="http://localhost:1234/v1/")
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# @myobj will reference the JSON schema defined below (see grammars = [ ... ])
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top_lark = r"""
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start: "Reasoning: " /.+/ "\nJSON: " @myobj
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"""
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answer_schema = {
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"type": "object",
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"properties": {
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"answer": {"type": "string", "enum": ["Yes", "No"]},
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},
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"required": ["answer"],
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"additionalProperties": False,
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}
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grammars = [
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{"lark_grammar": top_lark},
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{"name": "myobj", "json_schema": answer_schema},
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]
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completion = client.chat.completions.create(
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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": "If all dogs are mammals, and all mammals are animals, are dogs animals?",
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}
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],
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max_tokens=256,
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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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extra_body={
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"grammar": {
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"type": "llguidance",
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"value": {"grammars": grammars},
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}
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},
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)
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print(completion.choices[0].message.content)
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