Roadmap

Attach PDF documents to chat messages in the playground. Upload files, provide URLs, or use file IDs from provider APIs. Works with OpenAI, Gemini, and Claude models. PDFs are supported in evaluations and observability traces.

Use provider built-in tools like web search, code execution, and file search directly in the Playground. Supported providers include OpenAI, Anthropic, and Gemini. Tools are saved with prompts and automatically used via the LLM gateway.

Create projects within organizations to divide work between different AI products. Each project scopes its prompts, traces, and evaluations independently.

Use Jinja2 templating in prompts to add conditional logic, filters, and template blocks. The template format is stored in the configuration schema, and the SDK handles rendering automatically.

Run evaluations programmatically from code with full control over test data and evaluation logic. Evaluate agents built with any framework and view results in the Agenta dashboard.

Automatically evaluate every request to your LLM application in production. Catch hallucinations and off-brand responses as they happen instead of discovering them through user complaints.

Configure LLM-as-a-Judge evaluators with custom output schemas. Use binary, multiclass, or custom JSON formats. Enable reasoning for better evaluation quality.

Display entire chat sessions in one consolidated view. Currently, each trace in a chat session appears in a separate tab. This feature will group traces by session ID and show the complete conversation in a single view.

Add clickable links in the observability trace and drawer view to navigate to the application, variant, version, and environment used in each trace. Makes it easy to jump directly to the configuration that generated a specific trace.

Create folders and subfolders to organize prompts in the playground. Move prompts between folders and search within specific folders to structure prompt libraries.

Create reusable prompt snippets that can be referenced across multiple prompts. Reference specific versions or always use the latest version to maintain consistency across prompt variants.

We are adding the ability to filter traces by date range in the metrics dashboard.

Analyze prompts and suggest improvements based on best practices. Identify issues, propose refined versions, and allow users to accept, modify, or reject suggestions.

Add a button in observability to open any chat span directly in the playground. Creates a stateless playground session pre-filled with the exact prompt, configuration, and inputs for immediate iteration.

We are making it easy to use and navigate in the playground with large testsets .

Using testcases from different testsets is not possible right now in the Playground. We are adding the ability to append a single testcase to a testset.

We are reworking the testset view to make it easier to visualize and edit testsets.

We are adding the ability to cache prompts in the SDK.

We are adding the ability to version testsets. This is useful for correctly comparing evaluation results.

We are adding the ability to tag traces, testsets, evaluations and prompts. This is useful for organizing and filtering your data.