63 lines
2.5 KiB
Python
63 lines
2.5 KiB
Python
import os
|
|
from urllib.parse import urljoin
|
|
import requests
|
|
|
|
from memgpt.local_llm.settings.settings import get_completions_settings
|
|
from memgpt.local_llm.utils import load_grammar_file, count_tokens
|
|
|
|
WEBUI_API_SUFFIX = "/v1/completions"
|
|
|
|
|
|
def get_webui_completion(endpoint, prompt, context_window, grammar=None):
|
|
"""Compatibility for the new OpenAI API: https://github.com/oobabooga/text-generation-webui/wiki/12-%E2%80%90-OpenAI-API#examples"""
|
|
from memgpt.utils import printd
|
|
|
|
prompt_tokens = count_tokens(prompt)
|
|
if prompt_tokens > context_window:
|
|
raise Exception(f"Request exceeds maximum context length ({prompt_tokens} > {context_window} tokens)")
|
|
|
|
# Settings for the generation, includes the prompt + stop tokens, max length, etc
|
|
settings = get_completions_settings()
|
|
request = settings
|
|
request["prompt"] = prompt
|
|
request["truncation_length"] = context_window
|
|
request["max_tokens"] = int(context_window - prompt_tokens)
|
|
request["max_new_tokens"] = int(context_window - prompt_tokens) # safety backup to "max_tokens", shouldn't matter
|
|
|
|
# Set grammar
|
|
if grammar is not None:
|
|
request["grammar_string"] = load_grammar_file(grammar)
|
|
|
|
if not endpoint.startswith(("http://", "https://")):
|
|
raise ValueError(f"Endpoint value ({endpoint}) must begin with http:// or https://")
|
|
|
|
try:
|
|
URI = urljoin(endpoint.strip("/") + "/", WEBUI_API_SUFFIX.strip("/"))
|
|
response = requests.post(URI, json=request)
|
|
if response.status_code == 200:
|
|
result_full = response.json()
|
|
printd(f"JSON API response:\n{result_full}")
|
|
result = result_full["choices"][0]["text"]
|
|
usage = result_full.get("usage", None)
|
|
else:
|
|
raise Exception(
|
|
f"API call got non-200 response code (code={response.status_code}, msg={response.text}) for address: {URI}."
|
|
+ f" Make sure that the web UI server is running and reachable at {URI}."
|
|
)
|
|
|
|
except:
|
|
# TODO handle gracefully
|
|
raise
|
|
|
|
# Pass usage statistics back to main thread
|
|
# These are used to compute memory warning messages
|
|
completion_tokens = usage.get("completion_tokens", None) if usage is not None else None
|
|
total_tokens = prompt_tokens + completion_tokens if completion_tokens is not None else None
|
|
usage = {
|
|
"prompt_tokens": prompt_tokens, # can grab from usage dict, but it's usually wrong (set to 0)
|
|
"completion_tokens": completion_tokens,
|
|
"total_tokens": total_tokens,
|
|
}
|
|
|
|
return result, usage
|