---
date: 2024-08-21
title: Support for Multi-Modal Traces in Langfuse UI
description: Add multiple modalities to a single trace, including text and images. 
author: Marlies
ogVideo: https://static.langfuse.com/docs-videos/multi-modal-traces.mp4
canonical: /docs/observability/features/multi-modality
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the canonical documentation for this feature (https://langfuse.com/docs/observability/features/multi-modality) and the API/SDK reference (https://api.reference.langfuse.com).

Langfuse now supports rendering multi-modal traces. In addition to text, you may now include images (passed via URL). We follow OpenAI's content format convention. For more details, please refer to [Multi-Modal Tracing](/docs/tracing-features/multi-modality).

## How to trace vision input in Langfuse?

If you use the [OpenAI Python SDK](/integrations/model-providers/openai-py), you can follow our [OpenAI cookbook](/integrations/model-providers/openai-py) which includes an example for tracing images in Langfuse.

- [Tracing: Multi-Modal Content](/docs/tracing-features/multi-modality)
- [Cookbook: OpenAI Integration (Python)](/integrations/model-providers/openai-py)

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/changelog/2024-08-21-openai-multi-modal-traces.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.