Mistral

Mistral publishes open-weight AI models that can be used for a variety of tasks. To develop with Mistral, visit their developer docs here.

Steps to Integrate Mistral with AgentOps

Install the AgentOps SDK

pip install agentops

poetry add agentops

Install the Mistral SDK

pip install mistralai

poetry add mistralai

Initialize AgentOps and develop with Mistral

Make sure to call agentops.init before calling any openai, cohere, crew, etc models.

from mistralai import Mistral
import agentops

agentops.init(<INSERT YOUR API KEY HERE>)
client = Mistral(api_key="your_api_key")

# Your code here...

agentops.end_session('Success')

Set your API key as an .env variable for easy access.

AGENTOPS_API_KEY=<YOUR API KEY>
MISTRAL_API_KEY=<YOUR MISTRAL API KEY>

Run your Agent

Execute your program and visit app.agentops.ai/drilldown to observe your Agent! 🕵️

After your run, AgentOps prints a clickable url to console linking directly to your session in the Dashboard

Full Examples

A notebook demonstrating how to use AgentOps with Mistral can be found here.

from mistralai import Mistral
import agentops

agentops.init(<INSERT YOUR API KEY HERE>)
client = Mistral(api_key="your_api_key")

response = client.chat.complete(
    model="mistral-small-latest",
    messages=[
        {
            "role": "user",
            "content": "Explain the history of the French Revolution."
        }
    ],
)

print(response.choices[0].message.content)
agentops.end_session('Success')

import asyncio
from mistralai import Mistral
import agentops

async def main():
    agentops.init(<INSERT YOUR API KEY HERE>)
    client = Mistral(api_key="your_api_key")

    response = await client.chat.complete_async(
        model="mistral-small-latest",
        messages=[
            {
                "role": "user",
                "content": "Write a short summary about the poem La Belle Dame sans Merci.",
            },
        ],
    )

    print(response.choices[0].message.content)
    agentops.end_session('Success')

asyncio.run(main())

Streaming Examples

from mistralai import Mistral
import agentops

agentops.init(<INSERT YOUR API KEY HERE>)
client = Mistral(api_key="your_api_key")

complete_response = ""

response = client.chat.stream(
    model="mistral-small-latest",
    messages=[
        {
            "role": "user",
            "content": "Who was Joan of Arc?"
        }
    ],
)

for chunk in response:
    if chunk.data.choices[0].finish_reason == "stop":
        print(complete_response)
    else:
        complete_response += chunk.data.choices[0].delta.content

agentops.end_session('Success')

import asyncio
from mistralai import Mistral
import agentops

async def main():
    agentops.init(<INSERT YOUR API KEY HERE>)
    client = Mistral(api_key="your_api_key")

    complete_response = ""

    response = await client.chat.stream_async(
        model="mistral-small-latest",
        messages=[
            {
                "role": "user",
                "content": "Write a short summary about the poem La Belle Dame sans Merci.",
            },
        ],
    )

    async for chunk in response:
        if chunk.data.choices[0].finish_reason == "stop":
            print(complete_response)
        else:
            complete_response += chunk.data.choices[0].delta.content

    agentops.end_session('Success')

asyncio.run(main())

Getting Started

Concepts

Integrations

Usage

Other Info

Steps to Integrate Mistral with AgentOps

Full Examples

Streaming Examples

​Steps to Integrate Mistral with AgentOps

​Full Examples

​Streaming Examples

Steps to Integrate Mistral with AgentOps

Full Examples

Streaming Examples