Mistral

Portkey helps bring Mistral's APIs to production with its observability suite & AI Gateway. Use the Mistral API through Portkey for:

1. Enhanced Logging: Track API usage with detailed insights and custom segmentation.

2. Production Reliability: Automated fallbacks, load balancing, retries, time outs, and caching.

3. Continuous Improvement: Collect and apply user feedback.

1.1 Setup & Logging

1. Obtain your Portkey API Key.

2. Set $ export PORTKEY_API_KEY=PORTKEY_API_KEY

3. Set $ export MISTRAL_API_KEY=MISTRAL_API_KEY

4. pip install portkey-ai or npm i portkey-ai

""" OPENAI PYTHON SDK """
from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    # ************************************
    provider="mistral-ai",
    Authorization="Bearer MISTRAL_API_KEY"
    # ************************************
)

response = portkey.chat.completions.create(
    model="mistral-tiny",
    messages = [{ "role": "user", "content": "c'est la vie" }]
)

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    // ***********************************
    provider: "mistral-ai",
    Authorization: "Bearer MISTRAL_API_KEH"
    // ***********************************
})

async function main(){
  const response = await portkey.chat.completions.create({
      model: "mistral-tiny",
      messages: [{ role: 'user', content: "c'est la vie" }]
  });
}

main()

1.2. Enhanced Observability

• Trace requests with single id.

• Append custom tags for request segmenting & in-depth analysis.

Just add their relevant headers to your request:

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    provider="mistral-ai",
    Authorization="Bearer MISTRAL_API_KEY"
)

response = portkey.with_options(
    # ************************************
    trace_id="ux5a7",
    metadata={"user": "john_doe"}
    # ************************************
).chat.completions.create(
    model="mistral-tiny",
    messages = [{ "role": "user", "content": "c'est la vie" }]
)

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    provider: "mistral-ai",
    Authorization: "Bearer MISTRAL_API_KEH"
})

async function main(){
  const response = await portkey.chat.completions.create({
      model: "mistral-tiny",
      messages: [{ role: 'user', content: "c'est la vie" }]
  },{
    // ***********************************
    traceID: "ux5a7",
    metadata: {"user": "john_doe"}
});
}

main()

Here’s how your logs will appear on your Portkey dashboard:

2. Caching, Fallbacks, Load Balancing

• Fallbacks: Ensure your application remains functional even if a primary service fails.

• Load Balancing: Efficiently distribute incoming requests among multiple models.

• Semantic Caching: Reduce costs and latency by intelligently caching results.

Toggle these features by saving Configs (from the Portkey dashboard > Configs tab).

If we want to enable semantic caching + fallback from Mistral-Medium to Mistral-Tiny, your Portkey config would look like this:

{
	"cache": {"mode": "semantic"},
	"strategy": {"mode": "fallback"},
	"targets": [
		{
			"provider": "mistral-ai", "api_key": "...",
			"override_params": {"model": "mistral-medium"}
		},
		{
			"provider": "mistral-ai", "api_key": "...",
			"override_params": {"model": "mistral-tiny"}
		}
	]
}

Now, just set the Config ID while instantiating Portkey:

""" OPENAI PYTHON SDK """
from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    # ************************************
    config="pp-mistral-cache-xx"
    # ************************************
)

response = portkey.chat.completions.create(
    model="mistral-tiny",
    messages = [{ "role": "user", "content": "c'est la vie" }]
)

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    // ***********************************
    config: "pp-mistral-cache-xx"
    // ***********************************
})

async function main(){
  const response = await portkey.chat.completions.create({
      model: "mistral-tiny",
      messages: [{ role: 'user', content: "c'est la vie" }]
  });
}

main()

For more on Configs and other gateway feature like Load Balancing, check out the docs.

3. Collect Feedback

Gather weighted feedback from users and improve your app:

from portkey import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY"
)

def send_feedback():
    portkey.feedback.create(
        'trace_id'= 'REQUEST_TRACE_ID',
        'value'= 0  # For thumbs down
    )

send_feedback()

import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
});

const sendFeedback = async () => {
    await portkey.feedback.create({
        traceID: "REQUEST_TRACE_ID",
        value: 1  // For thumbs up
    });
}
await sendFeedback();

Conclusion

Integrating Portkey with Mistral helps you build resilient LLM apps from the get-go. With features like semantic caching, observability, load balancing, feedback, and fallbacks, you can ensure optimal performance and continuous improvement.

Read full Portkey docs here. | Reach out to the Portkey team.