> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Cookbooks

> Cookbooks & tutorials to help you build with Phoenix

## Getting started with Phoenix

Not sure where to start? Try an end-to-end tutorial for a guided walkthrough of Phoenix's core features. These tutorials cover tracing, evaluation, and experimentation:

<Columns cols={2}>
  <Card title="Python Walkthrough" href="/docs/phoenix/cookbook/ai-engineering-workflows/iterative-evaluation-and-experimentation-workflow-python" img="https://storage.googleapis.com/arize-assets/dev-rel/Image%20Assets%20Public/python-logo.png" />

  <Card title="TypeScript Walkthrough" href="/docs/phoenix/cookbook/ai-engineering-workflows/iterative-evaluation-and-experimentation-workflow-typescript" img="https://storage.googleapis.com/arize-assets/dev-rel/Image%20Assets%20Public/ts-logo.png" />
</Columns>

## Featured AI Engineering Workflows

Discover workflows that illustrate how teams use Phoenix to build, evaluate, and scale AI systems.

<Columns cols={3}>
  <Card title="Optimizing Coding Agent Prompts - Prompt Learning" href="/docs/phoenix/cookbook/prompt-engineering/optimizing-coding-agent-prompts-prompt-learning" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/optimizing-coding-agent-prompt.png" />

  <Card title="Aligning LLM Evals with Human Feedback" href="/docs/phoenix/cookbook/human-in-the-loop-workflows-annotations/aligning-llm-evals-with-human-annotations-typescript" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/aligning-evals-with-feedback.png" />

  <Card title="Write your First Custom LLM Eval" href="/docs/phoenix/cookbook/evaluation/creating-a-custom-llm-evaluator-with-a-benchmark-dataset" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/build-custom-eval.png" />
</Columns>

## Agent Demos

These example agents are fully instrumented with OpenInference and utilize end-to-end tracing with Phoenix for comprehensive performance analysis. Enter your Phoenix and OpenAI keys to view traces.

<Columns cols={3}>
  <Card title="Code Generation Agent" href="https://phoenix-code-gen-agent.onrender.com/" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/agent-demos-code-gen.png">
    Explore a Code Generator Copilot Agent designed to generate, optimize, and validate code.
  </Card>

  <Card title="RAG Agent" href="https://phoenix-rag-agent.onrender.com/" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/agent-demos-rag-agent.png">
    Enter a source URL and collect traces in Phoenix to see how a RAG Agent can retrieve and generate accurate responses.
  </Card>

  <Card title="Computer Use Agent" href="https://github.com/Arize-ai/phoenix/tree/main/examples/computer_use_agent" img="https://storage.googleapis.com/arize-phoenix-assets/assets/images/agent-demos-computer-use.png">
    Test out a Computer Use (Operator) Agent built to execute commands, edit files, and manage system operations.
  </Card>
</Columns>