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manifest/manifest/clients/cohere.py

126 lines
3.6 KiB
Python

"""Cohere client."""
import logging
import os
from typing import Any, Dict, Optional
from manifest.clients.client import Client
from manifest.request import LMRequest
logger = logging.getLogger(__name__)
COHERE_MODELS = {"small", "medium", "large", "xlarge"}
class CohereClient(Client):
"""Cohere client."""
# Params are defined in https://docs.cohere.ai/generate-reference
PARAMS = {
"engine": ("model", "xlarge"),
"max_tokens": ("max_tokens", 20),
"temperature": ("temperature", 0.75),
"n": ("num_generations", 1),
"top_k": ("k", 0),
"top_p": ("p", 0.75),
"frequency_penalty": ("frequency_penalty", 0.0),
"presence_penalty": ("presence_penalty", 0.0),
"stop_sequences": ("stop_sequences", None),
}
REQUEST_CLS = LMRequest
NAME = "cohere"
def connect(
self,
connection_str: Optional[str] = None,
client_args: Dict[str, Any] = {},
) -> None:
"""
Connect to the Cohere server.
connection_str is passed as default COHERE_API_KEY if variable not set.
Args:
connection_str: connection string.
client_args: client arguments.
"""
self.api_key = connection_str or os.environ.get("COHERE_API_KEY")
if self.api_key is None:
raise ValueError(
"Cohere API key not set. Set COHERE_API_KEY environment "
"variable or pass through `client_connection`."
)
self.host = "https://api.cohere.ai"
for key in self.PARAMS:
setattr(self, key, client_args.pop(key, self.PARAMS[key][1]))
if getattr(self, "engine") not in COHERE_MODELS:
raise ValueError(
f"Invalid engine {getattr(self, 'engine')}. Must be {COHERE_MODELS}."
)
def close(self) -> None:
"""Close the client."""
def get_generation_url(self) -> str:
"""Get generation URL."""
return self.host + "/generate"
def get_generation_header(self) -> Dict[str, str]:
"""
Get generation header.
Returns:
header.
"""
return {
"Cohere-Version": "2021-11-08",
"Authorization": f"Bearer {self.api_key}",
}
def supports_batch_inference(self) -> bool:
"""Return whether the client supports batch inference."""
return False
def supports_streaming_inference(self) -> bool:
"""Return whether the client supports streaming inference.
Override in child client class.
"""
return False
def get_model_params(self) -> Dict:
"""
Get model params.
By getting model params from the server, we can add to request
and make sure cache keys are unique to model.
Returns:
model params.
"""
return {"model_name": self.NAME, "engine": getattr(self, "engine")}
def postprocess_response(self, response: Dict, request: Dict) -> Dict[str, Any]:
"""
Format response to dict.
Args:
response: response
request: request
Return:
response as dict
"""
return {
"object": "text_completion",
"model": getattr(self, "engine"),
"choices": [
{
"text": item["text"],
"text_logprob": item.get("likelihood", None),
"token_logprobs": item.get("token_likelihoods", None),
}
for item in response["generations"]
],
}