Opensource examples (#238)

Co-authored-by: Jason Liu <jason@jxnl.co>
This commit is contained in:
Brandon Phillips
2023-11-29 14:50:50 -07:00
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# Read first to correctly work with the provided examples
## Open Router
1. Sign up for an Openrouter Account - https://accounts.openrouter.ai/sign-up
2. Create an API key - https://openrouter.ai/keys
3. Add API key to environment - `export OPENROUTER_API_KEY=your key here`
4. Add Openrouter API endpoint to environment - `export OPENROUTER_BASE_URL=https://openrouter.ai/api/v1` [See https://openrouter.ai/docs#format for potential updates]
## Perplexity
1. Sign up for an Openrouter Account - https://www.perplexity.ai/
2. Create an API key - https://www.perplexity.ai/pplx-api
3. Add API key to environment - `export PERPLEXITY_API_KEY=your key here`
4. Add Openrouter API endpoint to environment - `export PERPLEXITY_BASE_URL=https://api.perplexity.ai` [See https://docs.perplexity.ai/reference/post_chat_completions for potential updates]
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import os
import instructor
from openai import OpenAI
from pydantic import BaseModel, Field
from typing import Optional
from instructor import Maybe, Mode
# Extract API key from environment
perplexity_api_key = os.environ.get("PERPLEXITY_API_KEY")
assert perplexity_api_key, "PERPLEXITY_API_KEY is not set in environment variables"
# Base URL for OpenAI
perplexity_base_url = os.environ.get("PERPLEXITY_BASE_URL")
assert perplexity_base_url, "PERPLEXITY_BASE_URL is not set in environment variables"
# Initialize OpenAI client
client = instructor.patch(
OpenAI(api_key=perplexity_api_key, base_url=perplexity_base_url),
mode=Mode.JSON,
)
# For direct reference here. See https://docs.perplexity.ai/docs/model-cards for updates
# Recommended is pplx-70b-chat
models = [
"codellama-34b-instruct",
"llama-2-70b-chat",
"mistral-7b-instruct",
"pplx-7b-chat",
"pplx-70b-chat",
"pplx-7b-online",
"pplx-70b-online",
]
data = [
"Brandon is 33 years old. He works as a solution architect.",
"Jason is 25 years old. He is the GOAT.",
"Dominic is 45 years old. He is retired.",
"Jenny is 72. She is a wife and a CEO.",
"Holly is 22. She is an explorer.",
"There onces was a prince, named Benny. He ruled for 10 years, which just ended. He started at 22.",
"Simon says, why are you 22 years old marvin?",
]
if __name__ == "__main__":
class UserDetail(BaseModel):
name: str = Field(description="Name extracted from the text")
age: int = Field(description="Age extracted from the text")
occupation: Optional[str] = Field(
default=None, description="Occupation extracted from the text"
)
for content in data:
MaybeUser = Maybe(UserDetail)
user = client.chat.completions.create(
response_model=MaybeUser,
model="pplx-70b-chat",
messages=[
{
"role": "system",
"content": f"You are an expert at outputting json. You always output valid JSON based on the pydantic schema given to you.",
},
{
"role": "user",
"content": f"Extract the user details from the following text: {content}. Match your response to the following schema: {MaybeUser.model_json_schema()}",
},
],
max_retries=3,
)
# Output the error or the result.
if user.error:
print(f"Error: {user.error}")
if user.result:
print(f"Result: {user.result}")