Exa will parse through your messages and send only the last message to /answer or /research.

​
Answer

To use Exa’s /answer endpoint via the chat completions interface:

  1. Replace base URL with https://api.exa.ai
  2. Replace API key with your Exa API key
  3. Replace model name with exa.

See the full /answer endpoint reference here.

from openai import OpenAI

client = OpenAI(
  base_url="https://api.exa.ai", # use exa as the base url
  api_key="YOUR_EXA_API_KEY", # update your api key
)

completion = client.chat.completions.create(
  model="exa",
  messages = [
  {"role": "system", "content": "You are a helpful assistant."},
  {"role": "user", "content": "What are the latest developments in quantum computing?"}
],

# use extra_body to pass extra parameters to the /answer endpoint
  extra_body={
    "text": True # include full text from sources
  }
)

print(completion.choices[0].message.content)  # print the response content
print(completion.choices[0].message.citations)  # print the citations

​
Research

To use Exa’s research models via the chat completions interface:

  1. Replace base URL with https://api.exa.ai
  2. Replace API key with your Exa API key
  3. Replace model name with exa-research or exa-research-pro

See the full /research endpoint reference here.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.exa.ai",
    api_key=os.environ["EXA_API_KEY"],
)

completion = client.chat.completions.create(
    model="exa-research", # or exa-research-pro
    messages=[
        {"role": "user", "content": "What makes some LLMs so much better than others?"}
    ],
    stream=True,
)

for chunk in completion:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)