feat: Reorganize examples for easier navigation

Author: jsonbailey

.github/workflows/ci.yml

@@ -32,7 +32,7 @@ jobs:
 
       - name: Install dependencies
         run: |
-          for dir in examples/*/; do
+          for dir in getting_started/completion_config/*/ getting_started/agent_config/*/ features/*/; do
             echo "Installing $dir"
             poetry -C "$dir" install
           done

README.md

@@ -1,38 +1,36 @@
-# LaunchDarkly sample Python application
+# LaunchDarkly AI SDK for Python - Examples
 
-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](https://docs.launchdarkly.com/home/ai-configs/quickstart) or the [Python reference guide](https://docs.launchdarkly.com/sdk/ai/python).
-
-This demo requires Python 3.10 or higher.
-
-## Build Instructions
-
-This repository includes examples for `OpenAI`, `Bedrock`, `Gemini`, `LangChain`, `LangGraph`, `Judge`, and `Observability`. Depending on your preferred provider, you may have to take some additional steps.
+| Package | PyPI | Docs |
+| --- | --- | --- |
+| [launchdarkly-server-sdk-ai](https://github.com/launchdarkly/python-server-sdk-ai/tree/main/packages/sdk/server-ai) | [![PyPI](https://img.shields.io/pypi/v/launchdarkly-server-sdk-ai)](https://pypi.org/project/launchdarkly-server-sdk-ai/) | [Reference](https://docs.launchdarkly.com/sdk/ai/python) |
+| [launchdarkly-server-sdk-ai-openai](https://github.com/launchdarkly/python-server-sdk-ai/tree/main/packages/ai-providers/server-ai-openai) | [![PyPI](https://img.shields.io/pypi/v/launchdarkly-server-sdk-ai-openai)](https://pypi.org/project/launchdarkly-server-sdk-ai-openai/) | [Reference](https://docs.launchdarkly.com/sdk/ai/python) |
+| [launchdarkly-server-sdk-ai-langchain](https://github.com/launchdarkly/python-server-sdk-ai/tree/main/packages/ai-providers/server-ai-langchain) | [![PyPI](https://img.shields.io/pypi/v/launchdarkly-server-sdk-ai-langchain)](https://pypi.org/project/launchdarkly-server-sdk-ai-langchain/) | [Reference](https://docs.launchdarkly.com/sdk/ai/python) |
+| [launchdarkly-observability](https://github.com/launchdarkly/observability-sdk/tree/main/sdk/%40launchdarkly/observability-python) | [![PyPI](https://img.shields.io/pypi/v/launchdarkly-observability)](https://pypi.org/project/launchdarkly-observability/) | [Reference](https://docs.launchdarkly.com/sdk/observability/python) |
 
-### General setup
+Each example is a self-contained application you can run independently to explore LaunchDarkly's AI APIs hands-on. Pick one that matches your provider or use case, follow the README, and you'll be up and running in minutes.
 
-1. [Create an AI Config](https://launchdarkly.com/docs/home/ai-configs/create) using the key specified in each example, or copy the key of existing AI Config in your LaunchDarkly project that you want to evaluate.
+For more comprehensive instructions, visit the [Quickstart page](https://docs.launchdarkly.com/home/ai-configs/quickstart) or the [Python reference guide](https://docs.launchdarkly.com/sdk/ai/python).
 
-1. Ensure you have [Poetry](https://python-poetry.org/) installed.
+## Getting Started
 
-1. Create a `.env` file in the repository root with at least your LaunchDarkly SDK key:
+These examples show how to integrate LaunchDarkly AI with different providers using `completion_config` and `agent_config`.
 
-   ```
-   LAUNCHDARKLY_SDK_KEY=your-launchdarkly-sdk-key
-   ```
+| Example | Description |
+| --- | --- |
+| [Bedrock](getting_started/completion_config/bedrock/) | `completion_config` with AWS Bedrock, metrics tracking |
+| [Gemini](getting_started/completion_config/gemini/) | `completion_config` with Google Gemini, metrics tracking |
+| [LangChain](getting_started/completion_config/langchain/) | `completion_config` with LangChain, async metrics tracking |
+| [LangGraph Agent](getting_started/agent_config/langgraph_agent/) | `agent_config` with a single LangGraph ReAct agent, tool calling, metrics tracking |
+| [LangGraph Multi-Agent](getting_started/agent_config/langgraph_multi_agent/) | `agent_config` with multiple LangGraph agents, custom StateGraph workflow, per-node metrics |
+| [OpenAI](getting_started/completion_config/openai/) | `completion_config` with OpenAI, automatic metrics tracking |
 
-   Each example README describes the full set of environment variables needed. The `.env` file is loaded automatically when running any example.
+## Features
 
-### Examples
+These examples demonstrate LaunchDarkly's managed APIs and standalone capabilities.
 
-| Example | Description | README |
-| --- | --- | --- |
-| **OpenAI** | Single provider using OpenAI | [examples/openai](examples/openai/README.md) |
-| **Bedrock** | Single provider using AWS Bedrock | [examples/bedrock](examples/bedrock/README.md) |
-| **Gemini** | Single provider using Google Gemini | [examples/gemini](examples/gemini/README.md) |
-| **LangChain** | Multiple providers via LangChain | [examples/langchain](examples/langchain/README.md) |
-| **LangGraph Agent** | Single agent using LangGraph | [examples/langgraph_agent](examples/langgraph_agent/README.md) |
-| **LangGraph Multi-Agent** | Multiple agents using LangGraph | [examples/langgraph_multi_agent](examples/langgraph_multi_agent/README.md) |
-| **Judge** | Judge evaluation of AI responses | [examples/judge](examples/judge/README.md) |
-| **Chat with Observability** | Observability plugin for AI chat monitoring | [examples/chat_observability](examples/chat_observability/README.md) |
+| Example | Description |
+| --- | --- |
+| [Judge](features/judge/) | `create_judge` for standalone evaluation of AI responses |
+| [Managed Agent](features/managed_agent/) | `create_agent` with tool calling, automatic metrics tracking, and judge evaluation |
+| [Managed Agent Graph](features/managed_agent_graph/) | `create_agent_graph` with multi-node workflows, tool calling, per-node metrics, and judge evaluation |
+| [Managed Model](features/managed_model/) | `create_model` with managed chat, automatic metrics tracking, and judge evaluation |

examples/chat_observability/README.md

@@ -0,0 +1,36 @@
+# Judge Example (Direct Evaluation)
+
+This example demonstrates how to use LaunchDarkly's judge functionality to evaluate specific input/output pairs directly, without an associated chat session.
+
+## Prerequisites
+
+- Python 3.10 or higher
+- [Poetry](https://python-poetry.org/) installed
+- A [LaunchDarkly](https://launchdarkly.com/) account and SDK key
+- API keys for the provider you want to use (OpenAI, Bedrock, or Gemini)
+
+## Setup
+
+1. Create the following config in your LaunchDarkly project. You can use a different key by setting the environment variable in your `.env`.
+
+   - [Create a Judge Config](https://launchdarkly.com/docs/home/ai-configs/judges) for evaluation. Default key: `sample-ai-judge`.
+
+1. Create a `.env` file in this directory with the following variables:
+
+   ```
+   LAUNCHDARKLY_SDK_KEY=your-launchdarkly-sdk-key
+   LAUNCHDARKLY_AI_JUDGE_KEY=sample-ai-judge
+   OPENAI_API_KEY=your-openai-api-key
+   ```
+
+1. Install the required dependencies:
+
+   ```bash
+   poetry install
+   ```
+
+## Run
+
+```bash
+poetry run judge
+```

examples/chat_observability/chat_observability_example.py

@@ -6,6 +6,7 @@
 from ldclient import Context
 from ldclient.config import Config
 from ldai import LDAIClient, AIJudgeConfigDefault
+from ldobserve import ObservabilityConfig, ObservabilityPlugin
 
 load_dotenv()
 
@@ -24,7 +25,11 @@ async def async_main():
         print("*** Please set the LAUNCHDARKLY_SDK_KEY env first")
         exit()
 
-    ldclient.set_config(Config(sdk_key))
+    ldclient.set_config(Config(sdk_key, plugins=[
+        ObservabilityPlugin(ObservabilityConfig(
+            service_name='hello-python-ai-judge',
+        ))
+    ]))
 
     if not ldclient.get().is_initialized():
         print("*** SDK failed to initialize. Please check your internet connection and SDK credential for any typo.")

examples/judge/README.md

@@ -5,19 +5,16 @@ description = "Hello LaunchDarkly for Python AI - Judge"
 authors = ["LaunchDarkly <dev@launchdarkly.com>"]
 license = "Apache-2.0"
 readme = "README.md"
-packages = [
-    {include = "chat_judge_example.py"},
-    {include = "direct_judge_example.py"},
-]
+packages = [{include = "judge_example.py"}]
 
 [tool.poetry.scripts]
-chat-judge = "chat_judge_example:main"
-direct-judge = "direct_judge_example:main"
+judge = "judge_example:main"
 
 [tool.poetry.dependencies]
 python = "^3.10"
 python-dotenv = ">=1.0.0"
 launchdarkly-server-sdk-ai = ">=0.19.0"
+launchdarkly-observability = ">=0.1.0"
 launchdarkly-server-sdk-ai-openai = ">=0.5.0"
 launchdarkly-server-sdk-ai-langchain = ">=0.6.0"
 openai = ">=1.0.0"