LaunchDarkly sample Python application

We've built a simple console application that demonstrates how LaunchDarkly's SDK works.

Below, you'll find the build procedure. For more comprehensive instructions, you can visit your Quickstart page or the Python reference guide.

This demo requires Python 3.8 or higher.

Build Instructions

This repository includes examples for OpenAI, Bedrock, and LangChain for multi-provider support. Depending on your preferred provider, you may have to take some additional steps.

General setup

1. Create an AI Config using the key specified in each example, or copy the key of existing AI Config in your LaunchDarkly project that you want to evaluate.

2. Set the environment variable LAUNCHDARKLY_SDK_KEY to your LaunchDarkly SDK key and LAUNCHDARKLY_AI_CONFIG_KEY to the AI Config key; otherwise, an AI Config of sample-ai-config or sample-ai-agent-config will be assumed for most examples.

   export LAUNCHDARKLY_SDK_KEY="1234567890abcdef"
   export LAUNCHDARKLY_AI_CONFIG_KEY="sample-ai-config"

3. Ensure you have Poetry installed.

Provider-Specific Setup

OpenAI setup (single provider)

1. Install the required dependencies with poetry install -E openai or poetry install --all-extras.
2. Set the environment variable OPENAI_API_KEY to your OpenAI key.
3. On the command line, run poetry run openai-example.

Bedrock setup (single provider)

1. Install the required dependencies with poetry install -E bedrock or poetry install --all-extras.
2. Ensure the required AWS credentials can be auto-detected by the boto3 library. Examples might include environment variables, role providers, or shared credential files.
3. On the command line, run poetry run bedrock-example.

Gemini setup (single provider)

1. Install the required dependencies with poetry install -E gemini or poetry install --all-extras.
2. Set the environment variable GOOGLE_API_KEY to your Google API key.
3. On the command line, run poetry run gemini-example.

LangChain setup (multiple providers)

This example uses OpenAI, Bedrock, and Gemini LangChain provider packages. You can add additional LangChain providers using the poetry add command.

1. Install all dependencies with poetry install -E langchain or poetry install --all-extras.
2. Set up API keys for the providers you want to use.
3. On the command line, run poetry run langchain-example

LangGraph setup (multiple providers, single agent)

1. Install all dependencies with poetry install -E langgraph or poetry install --all-extras.
2. Set up API keys for the providers you want to use.
3. Optionally set this environment variable to use a different agent config:

   export LAUNCHDARKLY_AGENT_CONFIG_KEY="sample-ai-agent-config"

4. On the command line, run poetry run langgraph-agent-example.

LangGraph setup (multiple providers, multiple agents)

1. Install all dependencies with poetry install -E langgraph or poetry install --all-extras.
2. Set up API keys for the providers you want to use.
3. Create an AI Config (Agent-based) using the keys below. Write a goal for each config and enable it with targeting rules.
4. Optionally set these environment variables to use different agent configs:

   export LAUNCHDARKLY_ANALYZER_CONFIG_KEY="code-review-analyzer"
   export LAUNCHDARKLY_DOCUMENTATION_CONFIG_KEY="code-review-documentation"

5. On the command line, run poetry run langgraph-multi-agent-example.