LLM Playground
- HobbyFull
- ProFull
- TeamFull
- Self HostedPro & Enterprise(Pro & Enterprise)
Test and iterate on your prompts directly in the Langfuse Prompt Playground. Tweak the prompt and the model parameters to see how different models responds to these changes inputs. This allows you to quickly iterate on your prompts and optimize them for the best results in your LLM app without having to switch between tools or use any code.
Core features
{{variables}}in prompts- OpenAI and Anthropic models
- Compare model parameters
- Linked to prompt management
We’ll be adding more features and models in the future. If you have any feedback or feature requests, please let us know!
Jump from prompt management to the playground
You can either start from scratch or jump into the playground from an existing prompt in Langfuse Prompt Management.
Supported Models
Currently the playground supports the following models by default. You may configure additional custom model names when adding your LLM API Key in the Langfuse project settings.
- OpenAI / Azure OpenAI: gpt-4o, gpt-4o-2024-08-06, gpt-4o-2024-05-13, gpt-4o-mini, gpt-4o-mini-2024-07-18, gpt-4-turbo-preview, gpt-4-1106-preview, gpt-4-0613, gpt-4-0125-preview, gpt-4, gpt-3.5-turbo-16k-0613, gpt-3.5-turbo-16k, gpt-3.5-turbo-1106, gpt-3.5-turbo-0613, gpt-3.5-turbo-0301, gpt-3.5-turbo-0125, gpt-3.5-turbo
- Anthropic: claude-3-5-sonnet-20241022, claude-3-5-sonnet-20240620, claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-5-haiku-20241022, claude-3-haiku-20240307, claude-2.1, claude-2.0, claude-instant-1.2
- Google Vertex AI: gemini-1.5-pro, gemini-1.5-flash, gemini-1.0-pro. You may also add additional model names supported by Google Vertex AI platform and enabled in your GCP account through the `Custom model names` section in the LLM API Key creation form.
The playground also supports all Amazon Bedrock models.