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Add LiteLLM - support for Sambanova, Vertex AI, Gemini, Anthropic, Bedrock (100+LLMs) #548

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Add LiteLLM - support for Sambanova, Vertex AI, Gemini, Anthropic, Bedrock (100+LLMs) #548

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21 changes: 5 additions & 16 deletions agents/ten_packages/extension/openai_chatgpt_python/openai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
from dataclasses import dataclass
import random
import requests
from openai import AsyncOpenAI, AsyncAzureOpenAI
import litellm
from openai.types.chat.chat_completion import ChatCompletion

from ten.async_ten_env import AsyncTenEnv
Expand Down Expand Up @@ -46,17 +46,6 @@ class OpenAIChatGPT:
def __init__(self, ten_env: AsyncTenEnv, config: OpenAIChatGPTConfig):
self.config = config
ten_env.log_info(f"OpenAIChatGPT initialized with config: {config.api_key}")
if self.config.vendor == "azure":
self.client = AsyncAzureOpenAI(
api_key=config.api_key,
api_version=self.config.azure_api_version,
azure_endpoint=config.azure_endpoint,
)
ten_env.log_info(
f"Using Azure OpenAI with endpoint: {config.azure_endpoint}, api_version: {config.azure_api_version}"
)
else:
self.client = AsyncOpenAI(api_key=config.api_key, base_url=config.base_url)
self.session = requests.Session()
if config.proxy_url:
proxies = {
Expand All @@ -69,7 +58,7 @@ def __init__(self, ten_env: AsyncTenEnv, config: OpenAIChatGPTConfig):

async def get_chat_completions(self, messages, tools=None) -> ChatCompletion:
req = {
"model": self.config.model,
"model": f"{self.config.vendor}/{self.config.model}",
"messages": [
{
"role": "system",
Expand All @@ -87,15 +76,15 @@ async def get_chat_completions(self, messages, tools=None) -> ChatCompletion:
}

try:
response = await self.client.chat.completions.create(**req)
response = await litellm.acompletion(**req)
except Exception as e:
raise RuntimeError(f"CreateChatCompletion failed, err: {e}") from e

return response

async def get_chat_completions_stream(self, messages, tools=None, listener=None):
req = {
"model": self.config.model,
"model": f"{self.config.vendor}/{self.config.model}",
"messages": [
{
"role": "system",
Expand All @@ -114,7 +103,7 @@ async def get_chat_completions_stream(self, messages, tools=None, listener=None)
}

try:
response = await self.client.chat.completions.create(**req)
response = await litellm.acompletion(**req)
except Exception as e:
raise RuntimeError(f"CreateChatCompletionStream failed, err: {e}") from e

Expand Down