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Add support for Azure, Palm, Anthropic, Cohere, Hugging Face Llama2 70b Models - using litellm #202

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Add support for Azure, Palm, Anthropic, Cohere, Hugging Face Llama2 70b Models - using litellm #202

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13 changes: 4 additions & 9 deletions opencompass/models/openai_api.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import json
import os
import time
from litellm import completion
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Since it won't be a required dependency, the import can be moved to __init__. It's generally better to ask users to install litellm at runtime.

from concurrent.futures import ThreadPoolExecutor
from threading import Lock
from typing import Dict, List, Optional, Union
Expand Down Expand Up @@ -206,18 +207,12 @@ def _generate(self, input: str or PromptList, max_out_len: int,
stop=None,
temperature=temperature,
)
raw_response = requests.post(self.url,
headers=header,
data=json.dumps(data))
response = completion(**data, api_key=key, org=self.orgs[self.org_ctr])

except requests.ConnectionError:
self.logger.error('Got connection error, retrying...')
continue
try:
response = raw_response.json()
except requests.JSONDecodeError:
self.logger.error('JsonDecode error, got',
str(raw_response.content))
continue

try:
return response['choices'][0]['message']['content'].strip()
except KeyError:
Expand Down
1 change: 1 addition & 0 deletions requirements.txt
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Expand Up @@ -24,3 +24,4 @@ tokenizers>=0.13.3
torch>=1.13.1
tqdm==4.64.1
transformers>=4.29.1
litellm
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We might not add it to dependency - it's a very nice feature, but not a must for many users.