Documentation Index
Fetch the complete documentation index at: https://docs.getnetra.ai/llms.txt
Use this file to discover all available pages before exploring further.
Installation
Install both the Netra SDK and Mistral SDK:
pip install netra-sdk mistralai
Usage
Initialize the Netra SDK with Mistral instrumentation enabled. The SDK automatically traces all Mistral API calls once initialized.
from netra import Netra
from mistralai.client import MistralClient
import os
# Initialize Netra with Mistral instrumentation
Netra.init(
app_name="my-ai-app",
headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}",
trace_content=True
)
# Use Mistral client as usual - all calls are automatically traced
client = MistralClient(api_key=os.environ.get("MISTRAL_API_KEY"))
response = client.chat(
model="mistral-large-latest",
messages=[
{"role": "user", "content": "What is observability?"}
]
)
print(response.choices[0].message.content)
Streaming Responses
The SDK automatically handles streaming responses and captures the complete output:
stream = client.chat_stream(
model="mistral-large-latest",
messages=[{"role": "user", "content": "Tell me a story"}]
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
Embeddings
Embedding operations are also automatically instrumented:
embeddings = client.embeddings(
model="mistral-embed",
input=["The quick brown fox jumps over the lazy dog"]
)
print(embeddings.data[0].embedding)
Selective Instrumentation
Control which integrations are enabled using the instruments or blockInstruments configuration:
from netra import Netra
from netra.instrumentation.instruments import InstrumentSet
# Only enable Mistral instrumentation
Netra.init(
headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}",
instruments={InstrumentSet.MISTRALAI}
)
# Or block specific instrumentations
Netra.init(
headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}",
block_instruments={InstrumentSet.HTTPX}
)
Next Steps
