langtrace-python-sdk 1.1.11

Python SDK for LangTrace

What is Langtrace?

Langtrace stands as a developer-centric, open-source solution, fully compatible with OpenTelemetry. It enables developers to effortlessly trace, monitor, and debug their LLM applications, offering robust support for automatic instrumentation.

Supported LLM Modules

Langtrace supports a comprehensive range of LLMs, VectorDBs, and frameworks, ensuring wide coverage for your development needs:

LLMs

1. OpenAI
2. Anthropic
3. Azure OpenAI

VectorDBs

1. Pinecone
2. Chromadb

Frameworks

1. LangChain
2. LlamaIndex
3. Haystack

We are actively working to extend our support to additional libraries!

Getting Started

To begin utilizing Langtrace, follow these straightforward steps:

1. Install the package using pip install langtrace-python-sdk.
2. Incorporate Langtrace into your project with from langtrace_python_sdk import langtrace.
   • This import should precede any other LLM module imports (such as OpenAI, LlamaIndex, etc.) to ensure proper functionality.
3. Initialize Langtrace by adding langtrace.init({ write_to_remote_url: false}) to your code.
4. Congratulations, you've completed the basic setup! You will now begin to see traces from your LLM modules logged directly to the console.

Exporting Traces to Langtrace

To configure trace exporting, you have two options:

You'll need both a Langtrace api_key and a remote_url, which can be acquired by logging into your Langtrace account.

1. Direct Initialization: Utilize langtrace.init(batch=True, api_key=<YOUR_API_KEY>, remote_url=<YOUR_REMOTE_URL>).
2. Environment Variables: Set API_KEY and URL, then add LangTrace.init(batch=True) at the beginning of your file.

Langtrace Cloud

Currently under development 🚧