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Adding support for other LLM providers with LiteLLM #14

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e77209a
add support for litellm
nischalj10 May 4, 2024
d5eb45b
added comments
nischalj10 May 4, 2024
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1 change: 1 addition & 0 deletions .env
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
OPENAI_API_KEY=""
OPENAI_ORGANIZATION_ID=""
ANTHROPIC_API_KEY = "" #or any other provider api key as per https://litellm.vercel.app/docs/providers

TWILIO_ACCOUNT_ID=""
TWILIO_AUTH_TOKEN=""
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18 changes: 7 additions & 11 deletions app/llm.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,4 @@
from openai import AsyncOpenAI
import os
from litellm import acompletion, litellm
from typing import List
from .custom_types import (
ResponseRequiredRequest,
Expand All @@ -13,10 +12,7 @@

class LlmClient:
def __init__(self):
self.client = AsyncOpenAI(
organization=os.environ["OPENAI_ORGANIZATION_ID"],
api_key=os.environ["OPENAI_API_KEY"],
)
litellm.modify_params = True

def draft_begin_message(self):
response = ResponseResponse(
Expand Down Expand Up @@ -61,11 +57,11 @@ def prepare_prompt(self, request: ResponseRequiredRequest):

async def draft_response(self, request: ResponseRequiredRequest):
prompt = self.prepare_prompt(request)
stream = await self.client.chat.completions.create(
model="gpt-4-turbo-preview", # Or use a 3.5 model for speed
messages=prompt,
stream=True,
)
stream = await acompletion(
model="claude-3-haiku-20240307", # Or use a Open AI/ any other model
messages=prompt,
stream=True,
)
async for chunk in stream:
if chunk.choices[0].delta.content is not None:
response = ResponseResponse(
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12 changes: 4 additions & 8 deletions app/llm_with_func_calling.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,4 @@
from openai import AsyncOpenAI
import os
from litellm import acompletion, litellm
import json
from .custom_types import (
ResponseRequiredRequest,
Expand All @@ -14,10 +13,7 @@

class LlmClient:
def __init__(self):
self.client = AsyncOpenAI(
organization=os.environ["OPENAI_ORGANIZATION_ID"],
api_key=os.environ["OPENAI_API_KEY"],
)
litellm.modify_params = True

def draft_begin_message(self):
response = ResponseResponse(
Expand Down Expand Up @@ -87,8 +83,8 @@ async def draft_response(self, request: ResponseRequiredRequest):
prompt = self.prepare_prompt(request)
func_call = {}
func_arguments = ""
stream = await self.client.chat.completions.create(
model="gpt-4-turbo-preview", # Or use a 3.5 model for speed
stream = await acompletion(
model="gpt-4-turbo-preview", # Or use a 3.5 / claude haiku/ any other model for speed
messages=prompt,
stream=True,
# Step 2: Add the function into your request
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1 change: 1 addition & 0 deletions requirements.txt
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Expand Up @@ -29,3 +29,4 @@ retell-sdk==3.11.0
fastapi==0.100.1
uvicorn==0.21.1
python-multipart==0.0.9
litellm==1.35.38