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Build AI Apps with Gemini 3 on Vertex AI
Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.
Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
Open-source observability and analytics for LLM apps
Langfuse is building open-source observability and analytics for LLM apps.
Observability: Explore and debug complex logs & traces in a visual UI.
Analytics: Improve performance of LLM apps. In particular, get a view on costs, latency and response quality using intuitive dashboards.
An open source implementation of OpenAI's ChatGPT Code interpreter
An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.