> ## Documentation Index > Fetch the complete documentation index at: https://docs.langtrace.ai/llms.txt > Use this file to discover all available pages before exploring further. # How to Guides > Collection of guides to help you get started with Langtrace. ## Languages Integrate with your Python project Integrate with your Typescript project ## Tracing features Generate an API key for Langtrace Cloud How to annotate traces and measure performance How to run evaluations on annotated datasets How to compare evaluations run on different models How to attach user IDs to traces How to attach prompt IDs and versions to traces How to pass user feedback to Langtrace How to add additional attributes to traces How to set custom names to traces How to group related operations How to filter traces by session ID How to disable tracing for functions How to disable tracing for specific vendors How to send and monitor OpenAI chat completion traces How to send traces How to manage and version prompts How to use the model playground, import prompts and conversations. ## LLM Foundation Models Integrate Langtrace with leading foundation models to power your AI applications: How to setup and trace OpenAI models Setup and tracing for Anthropic's Claude models Integrate with Azure-hosted OpenAI models Implement and trace Cohere's language models Harness Groq's high-speed inference engine Run and trace open-source models locally with Ollama Leverage Perplexity AI's advanced language models Leverage xAI's advanced language models ## LLM Frameworks Integrate Langtrace with powerful LLM frameworks to build sophisticated AI-powered applications. Data framework for LLM-based applications Framework for developing applications powered by language models Framework for orchestrating role-playing AI agents Programming framework for solving AI tasks without prompting React hooks for building AI-powered user interfaces ## Vector DBs Integrate Langtrace with popular vector stores for efficient tracing and debugging of similarity search and retrieval. Open-source embedding database for AI applications Managed vector database for real-time AI applications Vector database with extended filtering support Cloud-native vector database with multi-modal capabilities ## Web Frameworks Integrate Langtrace with popular web frameworks to add AI capabilities to your web applications:

**NextJS**
React framework for production-grade applications

**FastAPI**
Modern, fast web framework for building APIs with Python

**Django**
High-level Python web framework that encourages rapid development

**Flask**
Lightweight WSGI web application framework in Python ## Observabililty Tools Integrate Langtrace with powerful observability platforms to gain insights, monitor performance, and troubleshoot issues. Unified platform for search, logging, and observability Open-source analytics and interactive visualization platform Full-stack observability platform for cloud-native applications Open-source APM and observability tool Observability tool for debugging complex systems ## Self-hosting Refer to the [self-hosting section](/hosting/overview) to learn how to deploy Langtrace on your own infrastructure.