February

Improved Log Display

February 20th, 2025

To significantly improve readability in your use cases with strict formatting requirements, you can now choose to view your log contents in various formats. Formats such as JSON, YAML, Markdown, and more will be automatically detected and made available for manual selection.

Screenshot showing the improved Log Display

Improved Log Display

To try it, simply open up a Log from the Logs or Evals tab and hover over its output content.

Improved Stats Page in Evaluations

February 14th, 2025

We’ve revamped our Stats page in Evaluations, which shows a summary of the evaluation results across runs and compares them to a control run.

Screenshot showing the improved Stats page in Evaluations

Improved Stats Page in Evaluations

Some highlights:

  • Collapsible sections to view the most important top-line metric for each evaluator at a glance
  • New and improved bar charts for categorial and boolean evaluators
  • Clear percentage-based comparisons against the control run for each metric
  • Click through from metric values and comparisons to a filtered Review page to drill down into datapoints

Gemini 2.0 Flash is now available

February 12th, 2025

We’ve added support for the latest Google Gemini 2.0 Flash model on Humanloop.

Screenshot showing reasoning effort in the Editor

Gemini 2.0 Flash

Gemini Flash 2.0 is optimal for high-volume, high-frequency tasks. It is highly capable of multimodal reasoning across vast amounts of information, with a context window of 1 million tokens.

Reasoning effort in Editor

February 11th, 2025

You can now specify the reasoning effort for o3-mini and o1 models in Editor.

Screenshot showing reasoning effort in the Editor

Reasoning Effort in Editor

The reasoning effort parameter gives the model guidance on how many reasoning tokens it should generate before creating a response to the prompt. For more complex tasks, you may want to increase the reasoning effort to allow the model to ‘think’ longer before responding.

Structured Outputs in Editor

February 3rd, 2025

You can now specify the model’s response format directly in Editor. This is especially useful when you need the model to respond in a defined structure, such as JSON.

Screenshot showing structured outputs in the Editor

Structured Outputs in the Editor

To try it out:

  1. Select a Prompt.
  2. Open the Editor tab.
  3. In the Response Format dropdown at the bottom, select JSON Schema.

You can then define your JSON schema manually or use our AI-powered JSON schema generator by clicking the Generate button above the schema editor.

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