fe2d8b2b2f
* untested * patch * updated * clarified using tags in docs * tested ollama, working * fixed template issue by creating dummy template, also added missing context length indicator * moved count_tokens to utils.py * clean
54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
import os
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from urllib.parse import urljoin
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import requests
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from .settings import SIMPLE
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from ..utils import load_grammar_file, count_tokens
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from ...constants import LLM_MAX_TOKENS
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HOST = os.getenv("OPENAI_API_BASE")
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HOST_TYPE = os.getenv("BACKEND_TYPE") # default None == ChatCompletion
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KOBOLDCPP_API_SUFFIX = "/api/v1/generate"
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# DEBUG = False
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DEBUG = True
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def get_koboldcpp_completion(prompt, grammar=None, settings=SIMPLE):
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"""See https://lite.koboldai.net/koboldcpp_api for API spec"""
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prompt_tokens = count_tokens(prompt)
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if prompt_tokens > LLM_MAX_TOKENS:
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raise Exception(f"Request exceeds maximum context length ({prompt_tokens} > {LLM_MAX_TOKENS} tokens)")
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# Settings for the generation, includes the prompt + stop tokens, max length, etc
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request = settings
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request["prompt"] = prompt
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# Set grammar
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if grammar is not None:
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request["grammar"] = load_grammar_file(grammar)
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if not HOST.startswith(("http://", "https://")):
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raise ValueError(f"Provided OPENAI_API_BASE value ({HOST}) must begin with http:// or https://")
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try:
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# NOTE: llama.cpp server returns the following when it's out of context
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# curl: (52) Empty reply from server
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URI = urljoin(HOST.strip("/") + "/", KOBOLDCPP_API_SUFFIX.strip("/"))
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response = requests.post(URI, json=request)
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if response.status_code == 200:
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result = response.json()
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result = result["results"][0]["text"]
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if DEBUG:
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print(f"json API response.text: {result}")
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else:
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raise Exception(
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f"API call got non-200 response code (code={response.status_code}, msg={response.text}) for address: {URI}."
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+ f" Make sure that the koboldcpp server is running and reachable at {URI}."
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)
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except:
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# TODO handle gracefully
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raise
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return result
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