TensorZero

[!CAUTION] Breaking Changes

• Unknown content blocks now return the scope as model_name and provider_name instead of the fully-qualified model_provider_name.

[!WARNING] Planned Deprecations

• The TensorZero UI now reads the configuration from the gateway (instead of reading directly from the filesystem). The environment variables TENSORZERO_UI_CONFIG_PATH and TENSORZERO_UI_DEFAULT_CONFIG are deprecated and ignored. You no longer need to mount the configuration onto the UI container.
• Use model_name and provider_name to scope provider tools (e.g. OpenAI Responses API web search) instead of model_provider_name. The deprecated name is still accepted in the API.

Bug Fixes

• Fix a regression in the "Try with..." modal in the UI that disregarded some parameters (e.g. allowed_tools).
• Fix a regression in allowed_tools when using custom display names for tools.
• Fix an edge case when using both allowed_tools and tool_choice parameters with GCP Vertex AI Gemini.

New Features

• Support free-form search and filtering (e.g. by tags, metrics) the inference and datapoint tables in the UI.
• Support creating datapoints from scratch in the UI.
• Support editing TensorZero API key descriptions in the UI (thanks @nicoestrada!).
• Support editing any kind of datapoint input and output in the UI.
• Support peeking at inferences in the episode detail page in the UI (thanks @BrianLi23!).
• Support cloning datapoints in the UI.
• Optimize the rendering performance of the code editor in the UI.
• Make mime_type optional for base64 file inputs (now inferred from magic bytes when not provided).

& multiple under-the-hood and UI improvements