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Define a model cascade, use another model if it fails because of length #22

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Define a model cascade, use another model if it fails because of length #22

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d9607ca
fail early on length failure
maparent Oct 10, 2023
bfdb6b0
Define a chain of model. Cascade if fails on length.
maparent Oct 10, 2023
8d942dc
utility function
maparent Oct 10, 2023
0de9257
argument error
maparent Oct 12, 2023
8669cd6
check for response is None first
maparent Oct 24, 2023
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9 changes: 8 additions & 1 deletion easycompletion/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@
text_completion,
text_completion_async,
chat_completion,
chat_completion_async
chat_completion_async,
build_model_info,
)

openai_function_call = function_completion
Expand All @@ -21,13 +22,17 @@

from .constants import (
TEXT_MODEL,
LONG_TEXT_MODEL,
DEFAULT_CHUNK_LENGTH,
)

__all__ = [
"function_completion",
"text_completion",
"chat_completion",
"function_completion_async",
"text_completion_async",
"chat_completion_async",
"openai_function_call",
"openai_text_call",
"compose_prompt",
Expand All @@ -36,6 +41,8 @@
"chunk_prompt",
"count_tokens",
"get_tokens",
"build_model_info",
"TEXT_MODEL",
"LONG_TEXT_MODEL",
"DEFAULT_CHUNK_LENGTH",
]
25 changes: 14 additions & 11 deletions easycompletion/constants.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,19 +3,22 @@

load_dotenv() # take environment variables from .env.

TEXT_MODEL = os.getenv("EASYCOMPLETION_TEXT_MODEL")
if TEXT_MODEL == None or TEXT_MODEL == "":
TEXT_MODEL = "gpt-3.5-turbo-0613"
LONG_TEXT_MODEL = os.getenv("EASYCOMPLETION_LONG_TEXT_MODEL")
if LONG_TEXT_MODEL == None or LONG_TEXT_MODEL == "":
LONG_TEXT_MODEL = "gpt-3.5-turbo-16k"
TEXT_MODEL = os.getenv("EASYCOMPLETION_TEXT_MODEL") or "gpt-3.5-turbo-0613"
TEXT_MODEL_WINDOW = os.getenv("EASYCOMPLETION_TEXT_MODEL_WINDOW") or 4096
LONG_TEXT_MODEL = os.getenv("EASYCOMPLETION_LONG_TEXT_MODEL") or "gpt-3.5-turbo-16k"
LONG_TEXT_MODEL_WINDOW = os.getenv("EASYCOMPLETION_LONG_TEXT_MODEL_WINDOW") or 16*1024

EASYCOMPLETION_API_KEY = os.getenv("OPENAI_API_KEY")
if EASYCOMPLETION_API_KEY is None:
EASYCOMPLETION_API_KEY = os.getenv("EASYCOMPLETION_API_KEY")
EASYCOMPLETION_API_KEY = os.getenv("OPENAI_API_KEY") or os.getenv("EASYCOMPLETION_API_KEY")

EASYCOMPLETION_API_ENDPOINT = os.getenv("EASYCOMPLETION_API_ENDPOINT") or "https://api.openai.com/v1"

DEBUG = os.environ.get("EASYCOMPLETION_DEBUG") == "true" or os.environ.get("EASYCOMPLETION_DEBUG") == "True"
DEBUG = (os.environ.get("EASYCOMPLETION_DEBUG") or '').lower() == "true"
SUPPRESS_WARNINGS = (os.environ.get("SUPPRESS_WARNINGS") or '').lower() == "true"

DEFAULT_CHUNK_LENGTH = 4096 * 3 / 4 # 3/4ths of the context window size
DEFAULT_CHUNK_LENGTH = os.getenv("DEFAULT_CHUNK_LENGTH") or (TEXT_MODEL_WINDOW * 3 // 4) # 3/4ths of the context window size

DEFAULT_MODEL_INFO = [
(TEXT_MODEL, DEFAULT_CHUNK_LENGTH),
(LONG_TEXT_MODEL, LONG_TEXT_MODEL_WINDOW - DEFAULT_CHUNK_LENGTH)
# In the second case, DEFAULT_CHUNK_LENGTH is used as buffer
]
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