> ## Documentation Index
> Fetch the complete documentation index at: https://docs.promptlayer.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> Daily updates on new features and improvements to PromptLayer.

## May 15, 2026

### Deployment 1

#### New Features

**Sidebar Drag and Drop**
Users can now reorganize prompts, datasets, and folders by dragging and dropping items directly in the sidebar navigation.

* Drag items between folders or move them to the Home folder
* Multi-select items using keyboard shortcuts (Cmd/Ctrl+A to select all, Cmd/Ctrl+Click for individual selection)
* Visual feedback shows valid drop targets during drag operations

**Custom Row Limits for Datasets**
When creating a dataset from filter parameters, users can now specify a custom row limit to control the number of rows added to the dataset.

#### Improvements

* Added `report_columns` field to the Public API's get report endpoint for programmatic access to report column configurations
* Enhanced keyboard navigation in the sidebar with Escape to clear selection
* Improved visual feedback for selected items in the sidebar with check icons

***

### Deployment 2

General performance and stability improvements

***

### Deployment 3

#### Improvements

* Extended `Wrangler` tool execution timeout limits for longer-running analysis tasks
* Improved trace ingestion support for extended thinking and reasoning content from LLM providers
* Enhanced error classification for provider SDK exceptions to improve debugging accuracy

***

### Deployment 4

General performance and stability improvements

***

## May 14, 2026

### Deployment 1

#### Improvements

* Multi-block LLM responses now display all assistant text content instead of only the first segment, ensuring complete visibility of reasoning and answers
* Built-in tools (web search, code interpreter, etc.) are now correctly preserved when loading Anthropic, Google, and Vertex AI prompts in the Playground
* Registry list view spacing and scrolling behavior improved for smoother navigation
* Analytics tracking added for tool registry creation events

***

### Deployment 2

#### Improvements

* Enhanced reliability of search suggestions with automatic retry on failure
* Improved evaluation custom scoring to properly parse score configurations

***

## May 13, 2026

### Deployment 1

#### Improvements

* Added filtering and sorting options to the API for listing folders, prompts, workflows, datasets, evaluations, AB tests, input variable sets, skill collections, and tools
* API list endpoints now support filtering by creator email, creation date ranges, and update date ranges
* Added support for filtering entities by external ID references across all public list endpoints
* JSON Schema fields marked as nullable are now correctly sent as union types to all LLM providers

***

### Deployment 2

#### Improvements

* Fixed an issue where prompt template columns configured to return only templates (without LLM execution) were not properly displaying their values in evaluation reports

***

## May 12, 2026

### Deployment 1

#### Improvements

* Extended date range selection beyond the previous 14-day limit in analytics views
* Fixed drag-and-drop functionality for organizing items within nested folders in the registry

***

### Deployment 2

#### Improvements

* Mention a prompt or workflow with `@` to link directly to the latest version
* Session list improvements for faster navigation between recent chats
* Added event tracking for registry views and request log opens

***

## May 11, 2026

### Deployment 1

#### New Features

**Vibe Chat Tool Enhancements**
Enhanced tool execution capabilities with improved tracking and display of multi-step operations.

* Tool calls now show detailed progress with expandable history
* Added navigation between completed tool executions
* Improved visualization of nested tool workflows

**Metadata and Input Support for Tool Calls**
Tool calls can now include custom metadata and input parameters for better tracking and context.

* Pass additional context with each tool execution
* Track tool-specific metadata across workflow runs

#### Improvements

* Enhanced Vibe Chat streaming with better real-time updates and error handling
* Improved conversation history management with automatic persistence
* Better visualization of tool execution states in the dashboard
* Refined dataset column operations with improved validation
* Enhanced label management across workflows and skill collections

***

## May 08, 2026

### Deployment 1

#### Improvements

* Loading indicators now appear in the traces sidebar while request logs and spans are being fetched
* Renaming a resource (prompt, dataset, workflow, etc.) from its detail page now immediately updates the sidebar navigation
* Image outputs from completion-style prompts are now properly included when creating datasets from request logs

***

### Deployment 2

#### Improvements

* Enhanced search functionality to find prompts and variables by partial matches and fuzzy text matching, making it easier to locate items even with typos or incomplete names
* Improved search performance for prompt name lookups in large workspaces

***

### Deployment 3

#### New Features

**Pydantic AI Support for Traces**
PromptLayer now fully supports tracing for Pydantic AI applications, including agent runs, tool calls, and LLM requests.

* Agent sessions, tool executions, and model calls are automatically classified and displayed with clear labels
* Tool calls show function names and arguments in the trace view
* Embedding calls are tracked separately from chat completions

#### Improvements

* Improved success rate precision display in analytics charts with configurable decimal places
* Enhanced heatmap legend formatting for better readability of activity patterns

***

## May 07, 2026

### Deployment 1

#### New Features

**LangChain Trace Support**
PromptLayer now automatically captures and displays traces from LangChain applications, providing end-to-end visibility into multi-step LLM workflows.

* View nested spans for chains, agents, and tool calls in the trace detail view
* Automatically extracts input/output for each LangChain component
* Compatible with LangChain's OpenTelemetry instrumentation

**Analytics Page Enhancements**
The Analytics dashboard now includes expanded insights to help you understand model usage patterns and performance.

* Provider and prompt template cost breakdowns show where spend is concentrated
* Tag-based analytics let you track requests by custom labels
* Tool latency metrics identify slow function calls
* Metadata and output key frequency analysis
* Enhanced time-series charts with cached token and thinking token visibility

#### Improvements

* Prompt template editor now opens by default when creating a new tool
* Bulk delete tools in the registry using Mod+Backspace keyboard shortcut
* Error messages now clearly indicate whether failures originated from PromptLayer or the upstream AI provider
* Improved metadata rendering in the commit dialog for prompt template version comparisons
* Request analytics API now includes prompt template names instead of IDs only
* Heatmap on Analytics page displays hourly request activity patterns

***

### Deployment 2

#### New Features

**Analytics Charts by Prompt Template**
View request volume trends for specific prompt templates over time in the Analytics dashboard.

* Track usage patterns for individual prompts alongside model usage data
* Identify which prompt templates are driving the most API traffic
* Compare prompt template activity across custom date ranges

#### Improvements

* Auto-switch to the Requests tab when adding a metadata filter from the request detail view
* Enhanced Analytics charts with finer time granularity for short date ranges (down to 1-second intervals)
* Improved time axis labels in Analytics charts now use 12-hour format with AM/PM for better readability

***

### Deployment 3

#### New Features

**External IDs for Entity Management**
All major entities (prompt templates, workflows, tools, datasets, reports, A/B tests, folders) now support external IDs for seamless integration with external systems.

* Attach custom identifiers from your own systems to PromptLayer entities via API
* Query entities by external ID for simplified synchronization workflows
* Inline attachment during entity creation for atomic operations

**Analytics Latency Heatmap**
New heatmap visualization on the analytics page shows latency distribution across custom dimensions.

* Identify performance patterns by provider, model, or custom metadata
* Interactive drill-down to isolate high-latency request clusters

#### Improvements

* API key display now shows last 4 characters for easier identification without exposing full credentials
* Dataset group creation supports inline external ID attachment
* Prompt template list endpoint returns external IDs when present
* Report creation validates column configuration before committing entity
* Folder external ID management available via public API

***

### Deployment 4

#### Improvements

* Added detection for partial or incomplete responses from language model providers
* Improved error messaging for incomplete model outputs to help identify truncated or stopped responses

***

## May 06, 2026

### Deployment 1

#### New Features

**Request Analytics API**
Analytics queries are now available through the public API, enabling programmatic access to request metrics and trends.

* Query request volumes, latency, costs, and error rates via API
* Filter by date ranges, models, prompts, and custom metadata
* Supports the same powerful filtering available in the dashboard

#### Improvements

* Improved error messaging when password reset links expire
* Enhanced reliability of post-onboarding email communications

***

## May 05, 2026

### Deployment 1

#### Improvements

* Fixed dropdown menus and popovers closing immediately when opened inside modal dialogs
* Workflow traces now properly close when a node fails during execution
* Resolved date picker calendar navigation issues when selecting dates near the minimum or maximum allowed range
* Fixed null usage metadata handling in API responses

***

### Deployment 2

#### New Features

**Enhanced Analytics Dashboard**
The Analytics page has been redesigned with interactive time-series visualizations and improved filtering capabilities.

* View request volume, token usage, cost, and latency trends over customizable time ranges
* Analyze model usage patterns with per-model request breakdowns across time buckets
* Explore latency distributions with p50, p90, and p95 percentile tracking
* Adaptive bucketing automatically adjusts granularity from 5-minute intervals for short ranges to daily aggregations for longer periods

#### Improvements

* Analytics charts now display timezone-aware date labels matching your local time
* Request activity heatmaps show hourly usage patterns throughout the day
* Structured search filters now support more precise date range selection in analytics
* Model usage statistics include unknown/missing model names for better visibility

***

## May 01, 2026

### Deployment 1

#### New Features

**Advanced Search Filtering**
Search requests by conversation turns and tool call counts.

* Filter by number of assistant turns in multi-turn conversations
* Filter by total tool calls made during request execution
* Use numeric operators (greater than, less than, equals) in structured search

**Analytics Dashboard**
New analytics endpoint provides comprehensive request metrics and insights.

* View aggregated statistics including total cost, tokens, and latency
* Track daily breakdowns of requests, tokens, and costs
* Analyze model usage distribution across your workspace
* Monitor latency percentiles (p25, p75, p90) over time

#### Improvements

* Onboarding flow now displays animated previews for each setup step
* Request log tables now show absolute timestamps for better clarity
* Clicking the overview area in prompt and workflow editors now opens the full editor view
* Workflow execution processing reliability improvements

***

## April 30, 2026

### Deployment 1

General performance and stability improvements

***

### Deployment 2

#### New Features

**Custom Provider Authentication Schemes**
Custom providers now support flexible authentication methods beyond the default bearer token, enabling seamless integration with enterprise API gateways and non-OpenAI-compatible endpoints.

* Choose between `Bearer`, `X-API-Key`, or fully custom header authentication when configuring a custom provider
* Configure custom authentication headers for providers requiring proprietary authentication schemes
* Custom authentication settings are fully supported in both the dashboard and API

**Request Logs in Prompt Templates and Datasets**
View and analyze request logs directly within prompt template and dataset views for faster debugging and iteration.

* Access request history filtered by prompt template or dataset from the analytics tab
* Add requests to datasets directly from prompt template analytics views

#### Improvements

* Dataset creation failure webhooks now include the dataset ID for easier error tracking
* Added copy button to JSON cards in trace span details for faster data extraction
* Request logs search now supports filtering by prompt template and dataset
* Improved date range picker UX in request logs with better visual feedback
* Tool registry editor maintains proper scrolling on short viewports

***

### Deployment 3

General performance and stability improvements

***

## April 29, 2026

### Deployment 1

#### New Features

**Multi-Select Dataset Creation from Request History**
Enhanced dataset creation workflow now supports selecting multiple requests at once when adding data from request history.

* Create datasets or add rows to existing datasets directly from selected request logs
* Choose between different filter modes for more flexible data selection
* Streamlined bulk data import process

**Binary File Support in Skills**
Skills now support binary files including images, PDFs, and other non-text formats.

* Upload and reference binary files directly in skill collections
* Preview binary file contents in the skill viewer
* Improved file handling for diverse skill use cases

**Tool Registry Public API**
New public API endpoint allows programmatic versioning of registry tools.

* Update tool versions via API for CI/CD integration
* Automate tool deployment workflows
* Manage tool lifecycle programmatically

#### Improvements

* Improved JSON formatting in playground outputs for better readability
* Fixed variable detection for registry tools when using Jinja2 templates in playground
* Enhanced dataset creation API to preserve filter parameters when creating versions from request history
* Improved skill collection version diff viewer with better file preview and comparison
* Better handling of dataset column creation to prevent duplicate names
* Fixed AI assistant buttons across dashboard
* Resolved naming issues when creating new registry tools
* Enhanced folder import for skill collections to handle binary files correctly

***

### Deployment 2

#### Improvements

* Added tool management permissions to default RBAC role templates for Contributors and Publishers
* Improved build process stability and consistency across development and deployment workflows

***

## April 26, 2026

### Deployment 1

#### New Features

**OpenAI GPT-5.5 Model Support**
Added support for OpenAI's latest `gpt-5.5` and `gpt-5.5-pro` models with extended reasoning capabilities and 1M token context windows.

* `gpt-5.5` offers next-generation reasoning with vision support and configurable reasoning effort levels
* `gpt-5.5-pro` provides top-tier performance for the most demanding professional tasks with enhanced reasoning capabilities
* Both models support text and image inputs with knowledge cutoff of December 2025

#### Improvements

* Fixed conversation turn counting to properly track user-assistant exchanges as single turns in chat transcripts
* Corrected tool choice display in function overview dialog to show the appropriate value based on function type

***

## April 24, 2026

### Deployment 1

#### New Features

**Tool Registry**
Manage reusable tool definitions across your workspace with version control and release labels.

* Create, edit, and version tool definitions independently of prompts
* Apply release labels to tool versions for environment-based deployment
* View all prompts and workflows referencing a specific tool
* Duplicate tools across workspaces

**Span Resource Attribute Filtering**
Filter traces by resource attributes attached to individual spans.

* Add filter button directly in span details view
* Quickly narrow down traces based on span-level metadata

#### Improvements

* Tool definitions in prompts now display resolved names and descriptions from the registry
* Release label configuration supports approval workflows for tool registry labels
* Improved changelog entries for tool-related events (create, version, label changes)
* Tool registry cache automatically resolves tool references when loading prompt versions
* Public API endpoints added for managing tool registry programmatically

***

### Deployment 2

#### New Features

**Organization Members Table Pagination**
The `Organization Members` page now supports server-side pagination, improving performance for organizations with large member lists.

* Navigate through member pages with configurable page size
* Search filters apply across all pages with accurate result counts
* Pending workspace invites appear inline with active members

#### Improvements

* Pending workspace invites now display alongside active organization members in a unified view
* Email search in the organization members table is now case-insensitive and supports partial matching
* Tool Registry editor automatically loads the selected version's definition when adding a function to the playground
* Workspace invite queries can now be scoped by workspace for improved organization member management

***

## April 23, 2026

### Deployment 1

General performance and stability improvements

***

### Deployment 2

#### Improvements

* Enhanced trace visualization with improved span status indicators and error display
* Added support for Vercel AI SDK tool execution spans in trace waterfall view
* Improved token usage details display for LLM calls with cache hit information
* Better handling of embedding operations in trace details and request logs
* Refined trace span naming for better readability in complex workflows

***

### Deployment 3

#### Improvements

* Improved reliability of workflow execution in the editor when using "Play from here" feature
* Enhanced trace visualization with collapsible message sections for better readability of long request/response content
* Improved display of exception details in trace span views with better formatting
* Renamed "Agent" blocks to "Workflow" blocks throughout the platform for consistency

***

### Deployment 4

#### New Features

**Resource Attribute Filtering for Traces**
Filter traces by OpenTelemetry resource attributes such as service name, deployment environment, or host information.

* New resource filter tab in trace search alongside metadata filters
* Supports both AND/OR logic for complex resource-based queries
* Autocomplete suggestions for common resource attribute keys
* Improved query performance through database indexing

***

## April 22, 2026

### Deployment 1

#### Improvements

* Enhanced access controls for `Playground` chat mode to ensure proper usage tracking
* Improved snippet detection and classification for better prompt template organization

***

### Deployment 2

#### Improvements

* Enhanced access controls for new user accounts during the initial setup period
* Fixed an issue where filter checkboxes in the registry view required multiple clicks to toggle
* Removed unused dependencies to improve frontend security and bundle size

***

## April 21, 2026

### Deployment 1

#### Improvements

* Enhanced access controls for API authentication

***

### Deployment 2

#### Improvements

* General performance and stability improvements

***

### Deployment 3

#### Improvements

* Enhanced security controls for account access

***

### Deployment 4

#### New Features

**API Key Restrictions for Playground and Workflows**
The Playground and Workflows now enforce workspace-level provider API key requirements. Users on trial Team plans can continue using PromptLayer-provided API keys, while others must configure their own provider credentials in Settings to run prompts and workflows.

* Prevents unauthorized use of shared infrastructure resources
* Clear error messages guide users to add missing provider API keys
* Enhanced access controls across all dashboard execution contexts

**Snippet Management Improvements**
Snippets are now formally distinguished from regular prompts with a dedicated `is_snippet` flag, improving organization and filtering.

* More accurate snippet identification in the registry
* Better separation between reusable snippets and standalone prompts

#### Improvements

* Enhanced model parameter handling in the Playground UI
* Improved template format consistency checks in Playground
* Better error messaging when provider API keys are missing
* Streamlined snippet display components
* More reliable workflow node execution validation

***

### Deployment 5

#### Improvements

* Enhanced subscription trial access controls for dashboard provider API keys

***

### Deployment 6

#### Improvements

* General performance and stability improvements

***

### Deployment 7

#### Improvements

* General performance and stability improvements

***

### Deployment 8

#### Improvements

* Enhanced account security controls

***

## April 16, 2026

### Deployment 1

#### New Features

**Claude Opus 4.7 Support**
Added support for Anthropic's latest Claude Opus 4.7 model, available through both direct Anthropic and Google Vertex AI integrations.

* New "Extra High" effort level option for enhanced reasoning tasks
* Improved agentic coding capabilities over the previous Opus 4.6 model
* Available on Vertex AI at multi-region (`us`, `eu`) and `global` endpoints

#### Improvements

* Enhanced API key validation for workspace bring-your-own-key configurations across all providers
* Updated thinking display defaults for Claude 4.7 family models to match API specifications
* Improved parameter controls for Claude 4.7 models to ensure optimal configuration

***

### Deployment 2

#### Improvements

* Enhanced search performance and reliability across the platform

***

## April 15, 2026

### Deployment 1

#### Improvements

* Enhanced workflow execution tracing for better debugging and observability
* Fixed issue where workflow nodes could get stuck in loading state indefinitely
* Improved date range picker behavior and URL synchronization for request log filters
* Added support for Qwen models on Amazon Bedrock, including Qwen3 235B, Qwen3 32B, Qwen3 Coder variants, and Qwen3 VL for vision tasks
* Fixed display value extraction for Anthropic and Bedrock responses with tool use
* Improved workflow node dependency handling to properly skip nodes when dependencies cannot complete

***

### Deployment 2

#### Improvements

* Enhanced usage tracking for traces and request logs to improve billing accuracy
* Fixed image handling for Amazon Bedrock Converse API to properly support URL-based images by automatically downloading and converting them to the required format
* Improved onboarding experience by refining when the Playground tour appears for new users

***

### Deployment 4

#### Improvements

* Enhanced `Amazon Bedrock` document handling for better compatibility with PDF attachments in chat templates
* Improved rendering of images and documents in request logs when using `Amazon Bedrock` models

***

## April 14, 2026

### Deployment 1

#### Improvements

* Enhanced error messaging for folder API operations to provide clearer guidance when workspace access issues occur

***

## April 13, 2026

### Deployment 1

#### Improvements

* Fixed an issue where dataset example cells could appear empty during selection

***

## April 10, 2026

### Deployment 1

#### Improvements

* API keys can now edit and delete evaluation columns and rename reports programmatically
* Enhanced scroll behavior in skill collection editor for better form navigation
* Improved interactive tour experience with more reliable dialog and popover interactions during guided walkthroughs

***

### Deployment 2

#### Improvements

* General performance and stability improvements

***

### Deployment 3

#### New Features

**Universal Skill Collections**
Skill Collections now support a vendor-agnostic mode that allows you to create portable skills without committing to a specific AI provider structure.

* Toggle between provider-specific layouts (Claude Code, OpenAI Agent, Copilot) and a universal format directly in the editor
* Universal mode stores skills in a flat structure that can be adapted to any provider later
* Switch providers at any time while preserving your skill content and organization

#### Improvements

* Skill Collection versions now track the provider setting at the time of each save
* Empty folders in Skill Collections are now properly displayed in version history and diffs
* Provider changes are now shown as a separate item in version review and diff views
* Creating new files in universal mode defaults to a plain file instead of requiring skill metadata
* Restoring a previous version now correctly restores the provider setting from that version

***

## April 09, 2026

### Deployment 1

#### Improvements

* Enhanced version selector performance with optimized infinite scroll loading
* Improved file hierarchy navigation with better loading states
* Refined skill collection version browser with smoother pagination
* Enhanced entity creation with better visual feedback during save operations
* General performance and stability improvements

***

### Deployment 2

#### New Features

**Link Editing in Skill Collections**
Enhanced markdown editor with inline link management for Skill Collections.

* Add and edit links directly in the markdown editor with a floating menu
* Auto-complete suggestions for linking to other files within your Skill Collection
* Quick access to edit or remove existing links without switching context

***

## April 08, 2026

### Deployment 1

#### New Features

**Skill Collections**
A new entity type for managing and versioning collections of AI assistant skills and tools.

* Create and organize skill files with support for multiple formats including Markdown and YAML
* Version control with commit messages and release labels
* Import entire skill folders via drag-and-drop or zip file upload
* View version history and compare changes between versions

**Playground Interactive Walkthrough**
New users can now access a guided tour of the Playground to learn key features.

* Step-by-step introduction to prompt testing and template creation
* Interactive highlights for model selection, message composition, and output review
* Optional walkthrough can be triggered from the help menu

#### Improvements

* Enhanced tag mentions to support Skill Collections in content areas
* Improved version selector with collapsed rail view for better workspace navigation
* Dataset column selection now properly handles user input changes
* Tag mention rendering updated to support additional entity types
* Version review dialog now supports phased save workflows with change summaries
* Multipart file upload support added for bulk skill collection operations
* Better handling of concurrent workflow node outputs to prevent race conditions

***

## April 07, 2026

### Deployment 1

#### New Features

**Skills Billing Limits**
Introduced plan-based limits for Skills features to provide clear capacity guidelines across all subscription tiers.

* Free plan: 1 skill collection with up to 30 files per collection
* Pro plan: 5 skill collections with up to 50 files per collection
* Team plan: Unlimited skill collections with up to 100 files per collection
* File size limit of 5 MiB per individual skill file applies across all plans

#### Improvements

* Enhanced skill collection creation and editing with real-time limit validation
* Improved error messages when approaching or exceeding skill collection capacity limits
* Added file count projections when saving skill collection versions to prevent unexpected limit errors
* Optimized skill file validation to catch oversized files before processing

***

### Deployment 2

#### Improvements

* Enhanced access controls with more granular permissions for creating, editing, and deleting `Prompts`, `Workflows`, `Datasets`, and `Reports`
* Improved permission management for workspace administrators and custom roles

***

### Deployment 3

#### New Features

**Named API Keys**
You can now assign custom names to your API keys to help organize and identify them across different environments or use cases.

* Add optional names when generating new API keys (e.g., "Production", "Staging", "CI/CD")
* Edit API key names after creation to keep your workspace organized
* View key names and the last 4 characters of each key in the API Keys table for easier identification

***

## April 06, 2026

### Deployment 1

#### New Features

**Model Catalog with Rich Metadata**
Enhanced model selection with detailed metadata display including pricing, context windows, supported capabilities, and knowledge cutoffs.

* Hover over any model in dropdowns to view comprehensive details
* Compare input/output pricing across providers at a glance
* See supported parameters and modalities before configuring
* View deprecation dates and latency characteristics

**Wrangler AI Follow Mode**
New follow mode in Wrangler AI that automatically scrolls to show latest agent activity.

* Toggle follow mode to stay synchronized with agent progress
* Manual scroll disables follow mode temporarily
* Floating widget shows active progress items during agent runs
* Visual glow overlay indicates when agents are working

**Advanced Request Log Search**
Intelligent query routing automatically selects optimal search backend based on query complexity and date range.

* Recent data queries use high-performance search
* Complex historical queries automatically fall back to full database
* Date range picker shows data availability cutoffs
* Search suggestions indicate field availability for selected time ranges

#### Improvements

* Added 22 new models across providers: Amazon Bedrock (9), OpenAI (3), VertexAI (7), Mistral (3)
* Deprecated 39 outdated models with clear retirement dates in model catalog
* Fixed incorrect parameter configurations on 28+ models (temperature ranges, max tokens, reasoning settings)
* Enhanced Anthropic models with adaptive thinking controls and effort settings
* Improved model dropdown with provider icons and categorized grouping
* Added prompt caching support for Claude models on Bedrock and VertexAI
* Fixed snippet override behavior when viewing shared templates
* Enhanced Cohere models with reasoning token display and vision support

***

### Deployment 2

#### New Features

**Skill Collections**
A new feature for organizing and versioning collections of AI skill files with label-based deployment tracking.

* Create and manage collections of skill files with automatic versioning
* Apply labels to specific versions for deployment tracking
* Version history with archive/restore capabilities
* Public API endpoints available for programmatic access (docs)

**Dataset Query Filtering**
Added `filter_query` parameter to datasets for more flexible data filtering.

* Filter dataset rows using custom query expressions
* Available in both dashboard and public API

#### Improvements

* Enhanced permission validation for label protection settings
* Improved support for OpenRouter model telemetry normalization
* Better handling of nested folder structures in the sidebar navigation
* General performance and stability improvements

***

### Deployment 3

#### Improvements

* Enhanced dataset selector visibility in evaluation blueprints
* Fixed dataset version display for nested datasets in the registry
* Improved model metadata caching for better performance

***

## March 31, 2026

### Deployment 1

#### New Features

**User ID Filtering**
Added `user_id` parameter support for request log filtering across the dashboard and API.

* Filter request logs by `user_id` in the Analytics page structured search
* Use `user_id` parameter in the `GET /requests` API endpoint
* Improved query performance with indexed `user_id` field

**Skip Input Variable Rendering in Prompt Templates**
Added `skip_input_variable_rendering` flag to the `GET /v1/prompt-templates` endpoint.

* Preserve `{variable}` placeholders in `llm_kwargs` instead of rendering them as empty strings
* Useful for fetching raw prompt structure without substitution

#### Improvements

* Enhanced request timeout handling to prevent query timeouts on slow searches
* Improved trial date display logic in subscription status indicators
* Added Amazon Bedrock prompt caching support for Claude 3.5 models
* Updated model configurations for Anthropic and Google models to match latest API capabilities
* Enhanced Wrangler AI assistant notifications with better resource detection
* Improved keyboard navigation in sidebar file hierarchy

***

### Deployment 2

#### Improvements

* Enhanced request search API reliability and accuracy
* Improved prompt snippet replacement handling in the registry
* Fixed variable set name display in the playground
* General performance and stability improvements

***

## March 27, 2026

### Deployment 1

#### Improvements

* General performance and stability improvements

***

## March 26, 2026

### Deployment 1

#### New Features

**Anthropic Claude Prompt Caching**
Added support for Anthropic's prompt caching feature to reduce costs and latency for repeated content.

* Automatically caches system messages and tool definitions in multi-turn conversations
* Displays cached token usage in request logs and the playground
* Works with all Claude models that support prompt caching

**Gemini Flash Image Preview Support**
Added `gemini-3.1-flash-image-preview` model with image generation capabilities.

#### Improvements

* Enhanced input variable handling in the prompt template editor to properly reset state when navigating between templates
* Fixed display of conversation history in chat-based prompts when only a single user message is present
* Updated default model selections across providers to reflect latest available models
* Improved subscription plan explanations with clearer billing information
* Refined authentication flow UI for better user experience during sign-in
* Enhanced tool call formatting in request logs for better readability

***

## March 24, 2026

### Deployment 1

#### New Features

**Public API Request Search Suggestions**
Developers can now fetch autocomplete suggestions for request log searches via the public API, enabling programmatic access to the same search experience available in the dashboard.

* New `/api/public/v2/requests/suggestions` endpoint for retrieving field value suggestions
* Supports filtering suggestions by field type, prefix, metadata key, and structured filter groups
* Rate limited to 10 requests per minute for API stability

#### Improvements

* Updated Python SDK to version 1.2.4 with enhanced features and bug fixes
* Fixed Pro plan upgrade button incorrectly appearing disabled when at user limit
* Simplified internal request search filtering for improved query performance
* Enhanced structured search payload handling for more consistent filter behavior

***

### Deployment 2

#### Improvements

* Enhanced AI assistant tracing capabilities for better observability and debugging
* Improved onboarding experience with more reliable use case suggestions
* Optimized database performance by removing unused indexes

***

## March 23, 2026

### Deployment 1

#### New Features

**Dataset Version Draft Workflow API**
New public API endpoints enable programmatic management of dataset drafts, allowing you to create, modify, and save dataset versions via API.

* Create a draft version from an existing dataset or start fresh with `create-draft`
* Add individual request logs to drafts with `add-request-log`
* Save and publish drafts with `save-draft`
* Enables incremental dataset building and version control through API workflows

#### Improvements

* Enhanced user onboarding flow with personalized use case recommendations
* Improved workspace introduction experience for new users
* Streamlined authentication and workspace setup process
* Updated UI animations and loading states for better visual feedback
* Refined dataset management interface with better draft handling

***

### Deployment 2

#### Improvements

* Enhanced request display for tool calls to show both content and function information
* Improved support for additional LLM providers with automatic fallback formatting
* Refined onboarding experience with updated messaging and visual assets

***

## March 22, 2026

### Deployment 1

#### Improvements

* Enhanced provider detection for requests logged via OpenTelemetry instrumentation

***

### Deployment 2

#### New Features

**Evaluation Runs API Enhancement**
The public API now supports retrieving batch runs nested within evaluations for easier programmatic access to evaluation results.

* Added `include_runs` parameter to the list evaluations endpoint
* When enabled, returns each evaluation with its associated batch runs and their current status
* Includes detailed statistics and status counts for each run

#### Improvements

* Enhanced display of requests from additional LLM providers in the dashboard
* Improved handling of chat completion requests across different provider formats
* Better status tracking for evaluation batch runs

***

### Deployment 3

#### Improvements

* Enhanced reliability of third-party integration webhooks
* Improved handling of tool call arguments in OpenTelemetry trace processing for better compatibility with prompt blueprints
* Optimized trace filtering to reduce duplicate entries and improve performance

***

## March 20, 2026

### Deployment 1

#### New Features

**Public Trace API Endpoint**
New `/api/public/v2/traces/<trace_id>` endpoint allows you to retrieve all spans and request logs associated with a trace ID, making it easier to programmatically access complete trace data for debugging and analysis.

* Returns all spans in the trace with their associated request log IDs
* Scoped to your workspace for security
* Complements the existing request log retrieval endpoint

**Enhanced Request Log API Response**
The `/api/public/v2/request/<request_id>` endpoint now includes the `trace_id` field in the response, enabling you to navigate from individual requests to their complete traces.

**Workflow Details in API Response**
The workflow retrieval endpoint now returns the complete `workflow` object in the response, providing full metadata and configuration details alongside the existing `workflow_id`, `workflow_name`, and `version` fields.

#### Improvements

* Enhanced template rendering error detection for Anthropic and Google system messages in Jinja2 templates
* Improved reliability when retrieving large request logs with automatic retry logic for transient failures
* Better error messages when request log data is temporarily unavailable

***

### Deployment 2

#### Improvements

* Enhanced OpenTelemetry trace ingestion to support event-based message formats from modern observability frameworks
* Improved compatibility with real-time AI agent platforms that use span events for conversation tracking
* Better extraction of tool call information from distributed traces

***

### Deployment 3

#### Improvements

* Enhanced OpenTelemetry trace processing to better handle tool calls in conversational AI workflows
* Improved compatibility with industry-standard telemetry formats for multi-turn agent interactions
* More accurate capture of function calling sequences in traced LLM requests

***

## March 19, 2026

### Deployment 1

#### New Features

**Chat View for Request Traces**
View LLM request traces in a conversation-style chat interface for easier readability.

* Toggle between chat view and traditional template view
* See message flow with role-based avatars (user/assistant/system)
* Available in request logs and playground pages

**Enhanced Workflow API**
The `GET /workflows` endpoint now returns full workflow structure including nodes and edges.

* Query specific versions using `?version=N` parameter
* Query by release label using `?label=my-label` parameter
* New `GET /workflows/{id}/labels` endpoint lists all release labels for a workflow

#### Improvements

* Expanded structured output support for additional Bedrock models (Nova, Llama, Mistral families)
* Better error handling and logging for workflow code execution nodes
* Improved loading states in shared request pages

***

## March 18, 2026

### Deployment 1

#### New Features

**GPT-5.4 Mini and Nano Model Support**
PromptLayer now supports OpenAI's GPT-5.4 Mini and GPT-5.4 Nano models in the `Playground` and API.

* Configure reasoning effort, verbosity, and response format options for both models
* Leverage lower-cost alternatives to GPT-5.4 for appropriate use cases
* Access prompt caching capabilities for improved performance

#### Improvements

* Images now display correctly in `Playground` chat mode
* Dataset columns reordered to show `promptlayer_url` before `prompt` for easier request navigation
* Enhanced model configuration options for GPT-5.4 series models

***

### Deployment 2

#### New Features

**Chat History Injection for Prompt Templates**
Prompt template blocks in evaluations can now inject chat history messages from a dataset column directly into chat prompts.

* Enable chat history injection in the Advanced Settings section of the prompt template block configuration
* Select a source column containing message objects with role and content fields
* Messages are automatically appended to the end of your prompt template
* Supports both JSON and JSON5 formatted message lists for flexible data sources

***

## March 17, 2026

### Deployment 1

#### New Features

**Public API for Dataset Rows**
New REST API endpoint to programmatically retrieve paginated rows from `Datasets`, enabling integration with external tools and workflows.

* Access dataset rows via `/api/public/v2/datasets/{id}/rows` with support for search and pagination
* Returns structured row data matching dataset column definitions
* Supports up to 100 rows per request with flexible filtering

**Public API for Evaluation Results**
New REST API endpoint to fetch evaluation results programmatically, combining dataset inputs with evaluation scores.

* Access evaluation rows via `/api/public/v2/evaluations/{id}/rows` endpoint
* Returns both dataset input variables and evaluation cell results in a unified format
* Enables automated analysis and reporting on evaluation performance

**Enhanced OpenTelemetry Tracing Support**
Expanded tracing instrumentation to support additional SDKs and frameworks for automatic request logging.

* Improved compatibility with diverse instrumentation libraries
* More reliable extraction of provider and model information from traces

#### Improvements

* Enhanced input variable detection in `Playground` with truncation and tooltip support for long variable names
* Improved link handling in Wrangler AI for better navigation across all resource types
* Refined organization members table pagination for more consistent data loading
* Updated API key input styling across provider configuration pages for better visual consistency
* Improved deduplication logic for file annotations to prevent duplicate entries

***

### Deployment 2

#### New Features

**Deployment Usage Analytics**
Track token consumption and session activity across all your prompt deployments with new organization-level analytics.

* View daily token usage broken down by individual deployments
* Monitor session counts per deployment over time
* Compare usage across public and private deployments
* Access historical usage data for capacity planning

**Prompt Remixing**
Enable users to create their own versions of your shared prompts directly from the deployment interface.

* Toggle remix capability on or off for any deployment
* Users can fork and customize prompts while maintaining attribution
* Remixed versions are saved to the user's own workspace
* Great for templates and starter prompts you want others to build upon

#### Improvements

* Enhanced deployment management UI with improved session visibility and controls
* Added batch execution support for shared prompt deployments
* Improved file upload handling and multipart processing for large media files
* Better dataset creation flow with prompt template selection from request history
* Enhanced permission checks and access controls across deployment endpoints

***

## March 16, 2026

### Deployment 1

#### New Features

**Runtime Tool Variables in Prompt Templates**
Dynamic tool injection now supports variable substitution, enabling templates to generate tool definitions on-the-fly based on runtime context.

* Tool schemas can include variables (e.g., `{{user_id}}`, `{{domain}}`) that resolve during template execution
* Supports nested variable resolution within tool parameters and descriptions
* Enables dynamic function calling patterns where tool availability adapts to request context

**Chat Message Annotations**
Annotations can now be added directly to individual messages in chat-mode conversations for improved debugging and analysis.

* Attach metadata, tags, or notes to specific assistant or user messages
* Track message-level performance metrics and quality assessments

#### Improvements

* Enhanced function/tool overview dialog displays complete schema details with improved formatting
* Improved citation modal rendering with better support for complex reference structures
* Streamlined Docker image build process reduces deployment time
* Better visual distinction between different tool types in the functions list view
* Optimized frontend bundle size through refined dependency management

***

## March 15, 2026

### Deployment 1

#### New Features

**Public API Request Search Endpoint**
A new `/api/public/v2/requests/search` endpoint enables programmatic searching of request logs with structured filters.

* Search logs using the same filtering capabilities available in the dashboard
* Support for complex filter groups and structured queries
* Rate-limited to 10 requests per minute with up to 25 results per page

**BYOK Playground Limit Exemption**
Users who configure their own API keys (Bring Your Own Key) are now exempt from daily playground run limits.

* Unlimited playground testing when using your own API credentials
* Cost control stays with your organization while removing artificial usage caps

#### Improvements

* Improved dataset column JSON parsing with better error handling for sparse or malformed data
* Enhanced workspace member management interface with clearer permission displays
* Fixed API key modal display to better communicate rate limits and usage policies
* Standardized public API endpoint structure (moved `GET /api/public/v2/request/<id>` to `/requests/<id>`)
* Added permission checks to dataset creation and editing endpoints to enforce role-based access control

***

## March 12, 2026

### Deployment 1

#### New Features

**Hybrid Search for Registry**
Enhanced search across prompts, workflows, and datasets combining keyword matching with semantic understanding for more relevant results.

* Search results now surface contextually similar items even when exact keywords don't match
* Improved search ranking considers both text relevance and semantic meaning
* Background indexing keeps search up-to-date as you modify registry items

**Scroll Lock in Playground Chat**
Chat panel now maintains your scroll position when new messages arrive, preventing automatic jumping to the bottom.

* Toggle scroll lock on/off to control whether new messages auto-scroll
* Manually scrolling up automatically enables scroll lock
* Scroll to bottom re-enables auto-scroll behavior

#### Improvements

* Fixed search suggestions displaying incorrect text values in autocomplete dropdowns
* Resolved f-string variable indexing issues when searching prompt templates
* Added `language` field support for Google Code Execution tool responses
* Improved citation display by preserving original model response annotations without deduplication
* Enhanced registry list and grid views with optimized virtualization for faster rendering of large item collections

***

### Deployment 2

#### New Features

**OTLP Prompt Resolution by ID and Label**
Enhanced OpenTelemetry trace ingestion now supports flexible prompt identification and version resolution.

* Spans can reference prompts by `promptlayer.prompt.id` in addition to `promptlayer.prompt.name`
* Version resolution via `promptlayer.prompt.label` automatically links traces to labeled prompt versions
* Improved error handling when prompt identifiers are incomplete or not found in the workspace

**Duplicate Span Handling**
The `/spans-bulk` endpoint now intelligently handles duplicate span IDs to prevent data conflicts.

* Duplicate spans within the same batch are deduplicated before insertion (first occurrence wins)
* Duplicate spans across separate batches use upsert logic (last write wins)
* Ensures trace data remains consistent when the same span is reported multiple times

#### Improvements

* Added `flask embed_recently_used_prompts` command to backfill embeddings for prompts with recent traffic
* Added `flask normalize_recently_used_prompts` command to backfill normalized content for recently-used prompt versions
* Both commands support configurable look-back windows (default 365 days) and batch sizes for gradual processing
* Enhanced test coverage for duplicate span handling scenarios in bulk span creation

***

### Deployment 3

#### New Features

**Structured Search**
Advanced filtering interface for request logs with improved query building and autocomplete suggestions.

* Build complex filters using fields, operators, and values with keyboard-driven autocomplete
* Support for nested metadata filtering with `key_equals`, `key_not_equals`, and `key_contains` operators
* Multi-value selection for tags, labels, and metadata fields with `in` and `not_in` operators
* Apply date range presets like "Last 5 minutes" or shorthand like "30d" for quick filtering

#### Improvements

* Enhanced date picker with single date selection mode and custom preset support
* Added `NOT_IN` operator support for identifier, string, array, and nested key-value fields
* Improved table components with better row click handling and empty state messages
* Added `IS_EMPTY` and `IS_NOT_EMPTY` operators for nested metadata filtering
* Expanded operator support for input/output text fields to include `STARTS_WITH` and `ENDS_WITH`

***

### Deployment 4

#### Improvements

* Fixed search filters not correctly matching boolean and numeric metadata values (e.g., `false`, `true`, `42`)
* Resolved issue where changing search filters could trigger duplicate requests and cause stale results to display
* Improved nested field filtering to properly match metadata values regardless of type (string, boolean, or number)

***

## March 11, 2026

### Deployment 1

#### New Features

**Nested Search Support for Outputs and Input Variables**
Advanced search now supports filtering by output fields and input variables, matching the existing metadata search capabilities.

* Search for specific output values using `output:key=value` syntax
* Filter requests by input variable content with `input_variables:key=value`
* Use autocomplete suggestions for both output keys and input variable keys in the search bar

#### Improvements

* Improved snippet handling when creating prompt versions with overrides to ensure base references are used consistently
* Enhanced search suggestion performance for nested field queries (metadata, outputs, input variables)
* Input variables now preserve insertion order when rendering prompt templates
* Added structured logging context showing workspace and user IDs for better debugging and support

***

## March 10, 2026

### Deployment 1

#### New Features

**Model Override Support in Evaluations**
Enhanced evaluation workflows now preserve model configuration when routing between prompt templates and agents.

* Model override settings are now correctly passed through evaluation interfaces
* API type and model configuration IDs are properly maintained across workflow executions

#### Improvements

* Fixed tool call detection in search indexing to correctly identify assistant messages with tool calls
* Improved "Open Prompt" button functionality in image API evaluations to use correct routing
* Enhanced build efficiency by adding path guards to skip unnecessary backend image builds when only documentation or configuration files change

### Deployment 2

#### New Features

**Prompt Starring**
Users can now star important prompts for quick access and organization.

* Star/unstar prompts directly from the prompt template page
* View list of users who have starred a prompt
* Filter and prioritize frequently-used prompts

**Structured Search for Request Logs**
Advanced filtering capabilities for request logs with precise search criteria.

* Build complex queries using field-specific filters (metadata, tags, models, etc.)
* Get autocomplete suggestions for search fields based on your workspace data
* Sort results by any field with flexible ascending/descending order

**Enhanced Tool Rendering**
Native display support for Anthropic code execution and shell command tools.

* View bash command execution results with syntax highlighting
* See code patches applied by AI agents in a readable format
* Improved visualization of tool use blocks in chat interfaces

#### Improvements

* Filter prompt templates by tags via the API using the `tags` parameter
* Fixed "Open Prompt" button behavior in image-based evaluations to correctly navigate to prompt templates
* Resolved race condition in workflow output nodes that could cause incorrect status codes
* Added model override routing support for evaluation workflows
* Improved prompt template list performance with optimized tag indexing

***

### Deployment 3

#### New Features

**Multi-Prompt Search Filtering**
Advanced search now supports filtering across multiple prompts simultaneously and combining filters with logical operators.

* Apply filters to multiple prompt templates at once for cross-prompt analysis
* Combine search conditions using AND/OR logic for more precise queries
* Filter suggestions now respect existing search criteria for faster query building

**Inline Item Creation in Sidebar**
Create new items directly from empty folders in the sidebar navigation without navigating away from your current view.

* Click "New item" buttons that appear in expanded empty folders
* Context-aware creation automatically places items in the correct folder
* Streamlined workflow for organizing prompts, datasets, and other resources

#### Improvements

* Search autocomplete suggestions now dynamically update based on active filters
* Added support for null/not-null operators in numeric field searches
* Enhanced folder navigation with visual indicators for active item context
* Improved metadata value suggestions with better handling of nested fields
* Optimized search performance for large workspaces with complex filter combinations

***

### Deployment 4

#### New Features

**Anthropic Text Editor Tool Support**
Added support for Anthropic's text editor built-in tool, enabling AI assistants to view, create, and edit text files programmatically.

* Available for both Anthropic and Vertex AI (Anthropic models) providers
* Supports commands like view, create, insert, and string-based replace operations
* Automatically handles text editor tool results in request logs and prompt templates

#### Improvements

* Enhanced subscription tracking with monthly contract value and contract duration fields for better enterprise billing management
* Fixed real-time event listener limits to prevent connection issues when multiple components subscribe to the same channel
* Improved tool choice handling to correctly map Text Editor tool names in API requests

***

### Deployment 5

#### New Features

**Plain Text Search in Structured Search**
You can now use plain text search alongside structured filters to find request logs more quickly.

* Performs full-text search across request inputs and outputs while applying your structured filters
* Enables flexible searching when you need both keyword matching and precise filtering

**Tool Names Search and Filtering**
Search and filter request logs by the tools called during execution.

* Search for specific tool names using the search bar with autocomplete suggestions
* Filter requests by tool names in structured search queries
* Helps track which tools are being used across your prompts and workflows

#### Improvements

* Search results now prioritize exact matches in request inputs and outputs when using plain text search
* Tool name suggestions appear in the search bar autocomplete for faster filtering
* Structured search queries support filtering by tool execution status and metadata

***

## March 09, 2026

### Deployment 1

#### New Features

**OpenTelemetry Trace Ingestion Enhancements**
Support for modern OpenTelemetry semantic conventions and improved compatibility with observability libraries.

* Added support for gzip-compressed OTLP trace payloads to reduce network overhead
* Added support for newer `gen_ai.input.messages` and `gen_ai.output.messages` JSON format used by Ruby and other emerging instrumentations
* Improved parsing of `gen_ai.system_instructions` to properly handle system prompts from different providers
* Added automatic upsert logic for duplicate span IDs to ensure trace completeness when spans are sent multiple times

**Template Rendering for Tool/Function Messages**
Improved handling of LLM-generated tool and function call messages in prompt templates.

* Template validation now gracefully skips tool/function messages that contain JSON responses rather than user-authored templates
* Prevents false template rendering errors when JSON braces in tool responses are mistaken for template syntax
* Preserves support for legitimate template variables in few-shot tool examples

#### Improvements

* Added `playground_session_id` to request log bulk endpoint responses for better session tracking
* Improved JSON variable parsing to optimistically parse all string values, matching frontend batch-mode behavior
* Enhanced OTLP function name inference to support more provider-specific operation types (embeddings, text completion, content generation)
* Fixed provider family detection for Anthropic and Google AI models in OpenTelemetry traces
* Improved error handling for malformed Content-Type headers in trace ingestion

***

## March 07, 2026

### Deployment 1

#### New Features

**Anthropic Code Execution Tool Support**
Added support for Anthropic's native code execution tool capability, enabling AI models to write and execute Python code during conversations.

* Models can now generate and run code snippets directly within chat sessions
* Code execution results are displayed inline with conversation history
* Supports dynamic data analysis and computation workflows

**Enhanced Trace Filtering with Metadata Search**
Introduced advanced filtering for traces using custom metadata keys, making it easier to find specific traces in production systems.

* Search and filter traces by any custom metadata key stored in span attributes
* Autocomplete suggestions help discover available metadata keys across your workspace
* Filter results update in real-time as you type

**OpenAI Shell Tool Integration**
Added built-in shell tool support for OpenAI models, allowing AI assistants to execute shell commands when explicitly enabled.

* Enables automation workflows where models can interact with system commands
* Integrates with OpenAI's native tool calling infrastructure

#### Improvements

* Improved playground session initialization to correctly handle tool and function definitions when opening from request logs
* Enhanced request log input variable extraction to include tool/function data for better context when replaying requests
* Streamlined "Open in Playground" workflow to preserve all tool configurations from original requests
* Fixed trace metadata button display issues in the span details view
* Normalized message content format to consistently use content blocks across chat interfaces
* Improved Vite build configuration for better development server performance

***

## March 05, 2026

### Deployment 1

#### New Features

**OpenTelemetry Trace Ingestion**
Native support for industry-standard OpenTelemetry Protocol (OTLP) trace ingestion, enabling seamless integration with existing observability tooling.

* Ingest traces via standard OTLP/HTTP endpoint at `/v1/traces`
* Automatic extraction of GenAI semantic conventions for OpenAI and Anthropic providers
* Convert OTLP spans into PromptLayer request logs with proper error mapping and metadata preservation

**Multi-Message Tool Response Handling**
Enhanced playground chat interface now supports submitting multiple tool response messages simultaneously.

* Import and replay conversations with parallel tool calls from request logs
* Maintain correct message ordering when tools are invoked across conversation turns
* Proper hydration of chat history with multiple tool responses per assistant turn

**Chat History Import from Request Logs**
Import conversation history directly from request logs into playground chat sessions.

* Reset and re-seed chat from any logged request with one click
* Automatically diff request messages against current template to extract conversation context
* Per-variable-set chat history support for testing multiple scenarios simultaneously

#### Improvements

* Fixed playground chat crashes when trace metadata contains non-string values during URL sharing
* Resolved 500 errors when reading prompts that use legacy LangChain message format
* Fixed "No response" display issue for template render errors in request logs
* Improved image evaluation algorithm accuracy for visual content comparison
* Enhanced workspace member invitation dialog with better field validation
* Fixed chat message ordering when importing request logs with tool calls

***

## March 04, 2026

### Deployment 1

#### New Features

**Google File Search Tool Support**
Native integration with Google's File Search tool for Gemini models, enabling document-based context retrieval.

* Create and manage file search stores directly in the PromptLayer UI
* Upload documents to stores and associate them with prompts in the playground
* Documents are automatically indexed for semantic search during conversations
* Grounding metadata shows which documents were referenced in responses

**OpenAI MCP (Model Context Protocol) Tool**
Support for OpenAI's Model Context Protocol tools in prompt templates and playground.

* Configure MCP servers and tools through the built-in tools dialog
* Available for OpenAI models that support function calling
* Tool responses appear inline in conversation history

**User Attribution Tracking**
Track which team member created or modified resources across the platform.

* Author information displayed for prompts, datasets, evaluations, and notifications
* Filter resources by creator in the unified registry
* "Open Original Session" button on run requests links back to the source playground session

#### Improvements

* Added support for Claude Sonnet 4.5 on Amazon Bedrock
* Added support for Gemini 3.1 Flash Lite model
* Debounced playground input variable parsing to reduce API calls during typing
* Fixed issue where deleted file stores could still be selected in the UI
* Improved search indexing with deduplication to prevent duplicate results
* Redesigned settings navigation with clearer organization and visual hierarchy
* Enhanced vector store management with delete store capability
* Improved file preview URLs for local storage backends with HMAC-signed streaming

***

## March 03, 2026

### Deployment 1

#### New Features

**Anthropic Structured Output Support**
Added JSON Schema support for Anthropic models to enforce structured responses.

* Configure `response_format` with JSON Schema in prompt templates for Claude models
* Automatically converts to Anthropic's `output_config` format
* Also supported for Claude models running on AWS Bedrock

**Organization Members Management**
Enhanced organization members page with improved filtering and detailed member views.

* View all workspaces and roles for each organization member in a detailed side panel
* Filter members by workspace, role, or search by name/email
* Members can now remove themselves from organizations without owner permissions

#### Improvements

* Fixed score slider to properly handle integer-only scores
* Added workspace search by name in workspace listing
* Improved autocomplete components with better keyboard navigation and multi-select support
* Enhanced request display to show `error_type` and `error_message` fields when present
* Added validation for `error_type` field in `/track-request` endpoint to match `/log-request` behavior
* Fixed memory leak in scheduled job processing

***

## March 01, 2026

### Deployment 1

#### Improvements

* Conversation simulator now surfaces errors from follow-up turns instead of silently ending conversations, making it easier to diagnose multi-turn evaluation failures
* Request logs with warning status now display partial responses when available, providing visibility into requests that partially succeeded
* Fixed display logic to correctly identify the final assistant response in multi-turn conversations, ensuring request context and actual output are properly distinguished
* Reduced backend test parallelization to improve test stability and reliability

***

## February 28, 2026

### Deployment 1

#### New Features

**Public API Request Payload Endpoint**
New `/api/public/v2/request-payload` endpoint allows you to retrieve complete request details including prompt blueprints, token usage, and latency metrics.

* Returns full prompt blueprint structure for easy reproduction
* Includes comprehensive metadata: provider, model, tokens, pricing, and timing
* Supports API key authentication

#### Improvements

* Improved Playground reliability on slow network connections by buffering early messages to prevent UI stalls
* Enhanced error handling for WebSocket token refresh failures with better logging for troubleshooting
* Fixed race condition in report cell generation that could cause false failures under high concurrency
* Improved WebSocket connection stability by returning cached tokens when refresh attempts fail
* Enhanced error reporting for messaging service failures with clearer error messages and categorization

***

## February 27, 2026

### Deployment 1

#### New Features

**OpenAI Images API Support**
Full support for OpenAI's image generation models including `gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`, `dall-e-3`, and `dall-e-2`.

* Configure quality, size, background, output format, and moderation settings directly in the Playground
* Generate multiple images in a single request with `n` parameter control
* View generated images with revised prompts in dedicated accordion sections

**Google Gemini Image Generation**
Added `gemini-3.1-flash-image-preview` model for AI-generated images via Google/Vertex AI.

* Customize image size (0.5K to 4K) and aspect ratio (1:1, 16:9, 21:9, and more)
* Includes standard Gemini safety settings and generation parameters

**URL Context Tool for Google/VertexAI**
Web search and URL content retrieval now available for Google and Vertex AI models in the Playground.

* Extract and analyze content from web pages during conversations
* Matches existing functionality available for OpenAI models

**Enhanced Custom Scoring System**
Refactored evaluation scoring with improved reliability and performance.

* Automatically recalculates report scores when evaluation criteria are updated
* Prevents score updates on incomplete evaluations

#### Improvements

* Fixed WebSocket connection timing to establish only after authentication token is available
* Increased message history buffer to 400 messages for improved chat continuity
* Resolved dynamic resolution stack errors in evaluation workflows
* Enhanced Playground sidebar layout with better widget spacing and control bar positioning
* Improved clipboard handling for content copy operations in the editor
* Fixed cost calculations for `nano-banana-2` model
* Streamlined prompt template retrieval logic for better reliability

***

## February 26, 2026

### Deployment 1

#### New Features

**OpenAI Images API Support**
PromptLayer now supports OpenAI's image generation models including `gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`, `dall-e-3`, and `dall-e-2`.

* Track and log all image generation requests with full parameter support (quality, size, format, moderation)
* View generated images directly in the request logs with revised prompt accordion
* Monitor token-based pricing for new GPT image models

**Google Gemini Tool Support Enhancements**
Extended tool support for Google and VertexAI models with additional capabilities.

* Added URL context tool support for fetching and processing web content
* Added code execution tool support for running code within model interactions
* Preserved thinking blocks for extended reasoning visibility in responses

**Improved Markdown Rendering**
Enhanced markdown display across the platform for better content readability.

* Richer formatting support in chat messages and outputs
* Improved code block rendering with syntax highlighting
* Better handling of complex markdown structures in evaluations and logs

#### Improvements

* Added human-readable status descriptions in the UI for better request monitoring
* Fixed refresh button behavior in sidebar navigation for consistent state management
* Improved error handling for team member invitations with clearer error messages
* Enhanced clipboard support for copying content from rich text editors
* Fixed prompt analytics page to correctly display evaluations without scores
* Improved evaluation table columns to show more detailed metrics
* Enhanced streaming performance for playground outputs with better state management

***