By default, Laminar.initialize() will automatically instrument majority of common LLM and VectorDB libraries for tracing. This includes OpenAI, Anthropic, Langchain, Pinecone, and many more.

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Instrument all available libraries

from lmnr import Laminar
import os
from openai import OpenAI
# ...
Laminar.initialize(project_api_key=os.environ["LMNR_PROJECT_API_KEY"])

See all available auto-instrumentable modules here.

​
Disable automatic instrumentation

initialize() accepts an optional instruments parameter. If you explicitly pass an empty set, no automatic instrumentations will be applied.

from lmnr import Laminar
import os
from openai import OpenAI

Laminar.initialize(
    project_api_key=os.environ["LMNR_PROJECT_API_KEY"],
    instruments=set()
)

# When you call OpenAI, it will NOT be instrumented

​
Instrument specific modules only

You can also enable instrumentation for specific modules only.

This is useful if you either want more control over what is being instrumented. Also, use this if you are using Next.js and having issues with automatic instrumentation – learn more.

Let’s say, for example, we call OpenAI and Anthropic models to perform the same task, and we only want to instrument the Anthropic calls, but not OpenAI.

initialize() accepts an optional instruments parameter. Pass a set of instruments you want to enable. In this case we only want to pass Instruments.ANTHROPIC.

See available instruments in the next subsection.

import os
from anthropic import Anthropic
from openai import OpenAI

from lmnr import Laminar, Instruments

Laminar.initialize(
    project_api_key=os.environ["LMNR_PROJECT_API_KEY"],
    instruments={ Instruments.ANTHROPIC }  # only enable anthropic, not openai
)

openai_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
anthropic_client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])

def poem_writer(topic="turbulence"):
    prompt = f"write a poem about {topic}"
    messages = [
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": prompt},
    ]

    # OpenAI calls are NOT instrumented
    openai_response = openai_client.chat.completions.create(
        model="gpt-4o",
        messages=messages,
    )

    # Anthropic calls are instrumented
    anthropic_response = anthropic_client.messages.create(
        max_tokens=1024,
        messages=messages,
        model="claude-3-5-sonnet-20240620",
    )

    openai_poem = openai_response.choices[0].message.content
    anthropic_poem = anthropic_response.content[0].text

    return {"o": openai_poem, "a": anthropic_poem}

if __name__ == "__main__":
    print(poem_writer(topic="laminar flow"))

​
Available instruments

See available instruments by importing Instruments from lmnr or view source.

All modules from this list are auto-instrumented, if you do not pass instruments to Laminar.initialize().

Adding structure to tracesManual instrumentation