> ## Documentation Index > Fetch the complete documentation index at: https://avala.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Changelog > Latest platform updates and release notes All notable changes to the Avala platform. *** ## v0.5.0 — March 2026 ### New Features * **`datasets.create()` organization support** — Assign datasets to an organization at creation time via `organization_id` parameter (Python, TypeScript, REST API) * **Additional dataset creation options** — New optional parameters: `gpu_texture_format`, `metadata`, `industry`, `license` *** ## v0.4.2 — February 2026 ### New Features * **`signup()`** — Create new Avala accounts programmatically via `POST /api/v1/signup/` (Python, TypeScript, REST API). No API key required — returns one on success. *** ## v0.4.1 — February 2026 ### New Features * **`datasets.create()`** — Create datasets programmatically with optional S3 provider config (Python, TypeScript, MCP, CLI) *** ## v0.4.0 — February 2026 ### New SDK Resources * **Organizations** — Full CRUD for organizations, members, invitations, and teams (Python, TypeScript) * **Slices** — Create and browse data slices (Python, TypeScript) * **Dataset Items & Sequences** — Browse items and sequences within datasets (Python, TypeScript) ### MCP Server Expansion * Added 21 new tools: tasks, agents, webhooks, storage, quality targets, consensus, organizations, slices * Total: 29 tools (up from 8) ### CLI Expansion * Added 6 new command groups: `agents`, `webhooks`, `quality-targets`, `consensus`, `inference-providers`, `auto-label` * Total: 12 command groups (up from 6) ### API Documentation * Updated Python SDK reference with all 14 resources (previously only 5 were documented) * Added CLI documentation for 6 previously undocumented commands * Updated TypeScript SDK reference with organizations, slices, and dataset item resources * Expanded MCP setup page with full tool table (29 tools) *** ## February 2026 ### Webhook Delivery System **New Features** * Subscribe to webhook events: `dataset.created`, `dataset.updated`, `dataset.deleted`, `export.completed`, `export.failed`, `task.completed` * HMAC-SHA256 signed payloads for security verification (`X-Avala-Webhook-Signature` header) * Automatic retry with exponential backoff (up to 5 attempts) * Webhook delivery log with status tracking (pending, delivered, failed) * Test endpoint to verify webhook connectivity * REST API: `GET/POST /api/v1/webhooks/`, `GET/PUT/DELETE /api/v1/webhooks/{uid}/`, `POST /api/v1/webhooks/{uid}/test/` * Read-only delivery log: `GET /api/v1/webhook-deliveries/` ### CLI Tool **New Features** * `avala` CLI tool available as optional extra: `pip install avala[cli]` * Commands: `avala datasets list|get`, `avala projects list|get`, `avala exports list|get|create`, `avala tasks list|get`, `avala storage-configs list|create|test|delete` * `avala configure` for interactive API key setup * Rich terminal output with formatted tables * Supports `AVALA_API_KEY` and `AVALA_BASE_URL` environment variables ### SDK Storage Configs & Rate Limit Headers **New Features** * Python SDK: `client.storage_configs.list()`, `.create()`, `.test()`, `.delete()` * TypeScript SDK: `avala.storageConfigs.list()`, `.create()`, `.test()`, `.delete()` * Rate limit info accessible via `client.rate_limit_info` (Python) / `avala.rateLimitInfo` (TypeScript) * Extracted from response headers: `X-RateLimit-Limit`, `X-RateLimit-Remaining`, `X-RateLimit-Reset` ### Self-Service Cloud Storage **New Features** * Connect your own S3 or Google Cloud Storage buckets directly from Mission Control settings * Test connection button to verify bucket access and credentials * Verified/unverified status badges for each storage configuration * Support for S3 Transfer Acceleration and bucket prefixes ### Work Batch Progress **New Features** * Customers can now view their organization's work batch progress in Mission Control * Real-time progress stats: total work units, backlog, in-progress, completed, and error counts * Progress bar visualization for each batch ### API Key Granular Scopes **New Features** * API keys can now be restricted to specific capabilities (scopes) * Available scopes: `datasets.read`, `datasets.write`, `projects.read`, `exports.create`, `tasks.read` * Empty scopes = full access (backward compatible with existing keys) * Scope selection UI when creating API keys in Mission Control * Scope badges displayed on each key in the API keys list ### Global API Rate Limiting **New Features** * All API endpoints are now protected by global rate limiting with per-user throttles * Standard rate: 100 requests/minute, burst protection at 20 requests/second * Dedicated inference throttle: 10 requests/minute for AI inference endpoints * Anonymous request throttle: 30 requests/minute * Rate limit headers on every response: `X-RateLimit-Limit`, `X-RateLimit-Remaining`, `X-RateLimit-Reset` * DRF `Retry-After` header included on 429 responses ### Python SDK v0.3.0 **Improvements** * Default base URL changed from `server.avala.ai` to `api.avala.ai` *Previously v0.2.0: `Client` and `AsyncClient`, `datasets`, `projects`, `exports`, `tasks`, `storage_configs` resources, `CursorPage[T]` pagination, CLI tool (`pip install avala[cli]`).* ### TypeScript SDK v0.3.0 **Improvements** * Default base URL changed from `server.avala.ai` to `api.avala.ai` *Previously v0.2.0: `storageConfigs` resource, rate limit info, comprehensive test suite.* ### MCP Server v0.3.0 **Improvements** * Default base URL changed from `server.avala.ai` to `api.avala.ai` *Previously v0.2.0: Package README, comprehensive test suite, bug fixes.* ### Agents SDK v0.1.0 **New Features** * `avala-agents` Python SDK published to [PyPI](https://pypi.org/project/avala-agents/) * `TaskAgent` class for building custom annotation workflow agents * Event handlers: `result.submitted`, `result.accepted`, `result.rejected`, `task.completed` * Agent actions: `approve()`, `reject()`, `flag()`, `skip()` * Blocking `agent.run()` and non-blocking `agent.run_once()` execution modes * Public mirror repository: [`avala-ai/avala-agents-python`](https://github.com/avala-ai/avala-agents-python) ### Agent Framework API **New Features** * Register custom automation agents that react to annotation workflow events * Supported events: `result.submitted`, `result.accepted`, `result.rejected`, `task.completed`, plus dataset and export events * Agent actions: approve, reject, flag, or skip results * Execution logging with detailed status tracking * Automatic timeout of stale executions (10-minute limit) * HMAC-SHA256 signed webhook callbacks for agent event delivery * REST API: `GET/POST /api/v1/agents/`, `GET/PUT/DELETE /api/v1/agents/{uid}/`, `POST /api/v1/agents/{uid}/action/` ### Batch Auto-Labeling **New Features** * Run SAM or YOLO inference across entire datasets to generate draft annotations * Progress tracking with real-time counters (processed, successful, failed, skipped items) * Configurable confidence threshold and label filtering * Dry run mode to preview results without creating annotations * Job cancellation with graceful stopping (checks every 50 items) * Webhook events on completion (`auto_label.completed`, `auto_label.failed`) * Maximum 5,000 items per job, one job per project at a time * REST API: `POST /api/v1/projects/{uid}/auto-label/`, `GET/DELETE /api/v1/auto-label-jobs/{uid}/` ### Custom Inference Providers **New Features** * Connect your own HTTP model servers (PyTorch Serve, Triton, BentoML, Flask, etc.) * HTTPS-only with SSRF protection (blocks private/reserved IPs including CGNAT, IPv6 ULA, IPv4-mapped, 6to4) * DNS re-validation at invocation time to prevent DNS rebinding attacks * Configurable auth (Bearer token or API key), custom headers, and timeout * Flexible response parsing (supports `predictions` key or flat array) * Test connection endpoint to verify reachability * REST API: `GET/POST /api/v1/inference-providers/`, `GET/PUT/DELETE /api/v1/inference-providers/{uid}/`, `POST /api/v1/inference-providers/{uid}/test/` ### Quality Targets & Alerts **New Features** * Define quality thresholds per project that trigger alerts when breached * Supported metrics: issue rate, acceptance rate, rejection rate, mean resolution time, critical issue count * Configurable operators (greater than, less than, etc.) and severity levels (warning, critical) * Automatic evaluation every 15 minutes via Celery Beat * Webhook alerts (`quality.alert`) when thresholds are breached * Breach tracking with count and last-breached timestamp * REST API: `GET/POST /api/v1/quality-targets/`, `GET/PUT/DELETE /api/v1/quality-targets/{uid}/`, `POST /api/v1/quality-targets/{uid}/evaluate/` ### Consensus Scoring **New Features** * Compute inter-annotator agreement scores for items labeled by multiple annotators * Scoring methods: classification agreement ratio, bounding box IoU with greedy matching * Configurable IoU threshold and minimum annotator count per project * Bulk upsert with conflict resolution for safe concurrent runs * Triggered on-demand via API * REST API: `GET/POST /api/v1/consensus-configs/`, `POST /api/v1/consensus/compute/`, `GET /api/v1/consensus-scores/` ### SDK Monorepo Integration **Infrastructure** * Python, TypeScript, and Agents SDKs maintained in the monorepo (`sdks/python/`, `sdks/typescript/`, `sdks/python-agents/`) * CI workflows for Python (3.9-3.12), TypeScript (Node 18/20/22), and Agents (Python 3.9-3.12) * Automated publishing to PyPI and npm on version tags * Mirror workflow syncs to public GitHub repos (`avala-ai/avala-sdk-python`, `avala-ai/avala-sdk-ts`, `avala-ai/avala-agents-python`) ### Docs Quick Wins **Improvements** * Slices API reference rewritten to match real serializer output (response fields, create request body, pagination format) * Added `llms-full.txt` for comprehensive AI tool documentation ingestion ### Documentation Overhaul **Improvements** * All SDK examples updated to use real method signatures * Pagination format corrected to match real DRF responses: `next`/`previous`/`results` for cursor-based endpoints, plus `count` for page-number endpoints * Upload flow updated to presigned URL pattern * Rate limits page updated with real values and headers * Added `llms.txt` for AI tool discoverability *** ## February 2025 ### MCP Server v1.0 **New Features** * Launched Avala MCP Server with full support for Claude, Cursor, and VS Code Copilot * AI assistants can now query datasets, projects, annotations, and organization data through natural language * New SDK documentation pages for both Python (`avala`) and TypeScript (`@avala-ai/sdk`) ### Integration Guides **New Features** * Added 6 new integration guides covering popular tools and workflows * Step-by-step setup instructions for connecting Avala with external services ### Expanded API Reference **New Features** * New dataset items endpoints for managing individual items within datasets * New tasks endpoints for querying and managing annotation tasks * New organizations endpoints for member management and invitations * New slices endpoints for creating and managing dataset subsets ### Documentation Additions **New Features** * New annotation tools reference covering all supported annotation types * Quality control guide with best practices for consensus and review workflows * Work batches guide for managing task distribution and annotator assignments *** ## January 2025 ### Mission Control v2.5.0 **New Features** * Added batch tagging for multiple datasets * New keyboard shortcuts for faster navigation * Improved 3D point cloud rendering performance **Improvements** * Search now supports date range filters * Reduced memory usage for large datasets * Better error messages for upload failures **Bug Fixes** * Fixed timeline sync issues with multiple cameras * Resolved Safari compatibility issues * Fixed annotation export including deleted items *** ## December 2024 ### API v1.3.0 **New Features** * Added `webhooks` endpoint for event notifications * New `batch` endpoints for bulk operations * Support for custom metadata on channels **Improvements** * Increased rate limits for enterprise accounts * Faster response times for list operations * Better pagination with cursor support **Deprecations** * `offset` pagination deprecated in favor of cursor-based pagination * `v1/upload` endpoint deprecated, use `v1/datasets/{id}/upload` *** ### Python SDK v0.8.0 **New Features** * Async client support (`AsyncClient`) * Progress callbacks for uploads * Automatic retry with exponential backoff **Improvements** * Full type hints for IDE support * Reduced memory usage for large file uploads * Better error messages *** ## November 2024 ### Mission Control v2.4.0 **New Features** * Team-based permissions * Project organization * Data lifecycle policies **Improvements** * Faster dataset loading * Improved search relevance * New dark mode theme *** ## Earlier Releases For earlier release notes, see our [GitHub releases](https://github.com/avala-ai/avala/releases).