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

# v1.3.3

> Genesis Data Agents v1.3.3 release notes — January 8, 2026

## v1.3.3 — January 8, 2026

### Smarter embeddings, richer metrics, and smoother observability

#### Smarter Embeddings with LiteLLM and Bedrock

We’ve hardened how Genesis handles vector embeddings so they “just work” even in complex proxy setups and across multiple providers.

* Embedding calls now **bypass LiteLLM Proxy automatically** when your embeddings are configured to talk directly to OpenAI or Azure, avoiding confusing “invalid model” errors.
* Added support for a dedicated **`litellm_proxy` embedding provider**, so you can explicitly route embeddings through your proxy when that’s what you want.
* Bedrock embedding provider names are now **normalized correctly**, so LiteLLM can route requests without extra manual configuration.
* Additional unit tests cover provider selection, credential handling, and proxy detection so future changes remain safe.

***

#### Server-Side Row Model (SSRM) for Query Results

Large query results in the Genesis UI now stay fast and responsive, even at scale.

* Query results grids (in the Data page and embedded in chat) now use **server-side pagination, sorting, and filtering** instead of loading everything into the browser.
* You can **filter, sort, group, and pivot** directly in the grid, with all heavy lifting pushed down to the database.
* A new backend SSRM service wraps your original SQL and applies AG Grid operations safely, including for complex queries (CTEs, unions, window functions).
* Row counts are **cached** to keep performance snappy on large datasets.

***

#### Transparent Configuration “Sources” View

Understanding where a configuration value really comes from is now much easier.

* New **Config Sources** views let you see **exactly which source** (profile, env var, file, default, etc.) is driving each config value.
* A dedicated **changes modal** summarizes what will be added, updated, deleted, or skipped when applying a profile.
* CLI and backend APIs expose the same “sources” information, so you can reason about configuration both in UI and automation.
* This supports safer rollouts and more predictable behavior across environments.

***

#### More Robust Authentication-Aware UX

The frontend now waits for authentication to be ready before firing key data calls and WebSocket connections.

* Many hooks (blueprints, dashboards, notifications, docs, bots, user info, etc.) now **defer requests until auth config is loaded and the user is authenticated**.
* WebSocket connections to backend services now **gracefully wait for tokens** rather than failing early during page load.
* Better logging and readiness checks make it easier to diagnose authentication-related issues.

***

#### Stronger Snowflake Deployment & Changelog Workflows

We’ve smoothed out release and deployment automation, especially around Snowflake and GitHub-powered changelogs.

* The Snowflake deploy workflow now **fetches shared actions and scripts from `main`** when needed so older tags can still be deployed reliably.
* After each Snowflake deployment, both **Docker images and the git repo are tagged** with a Snowflake-specific version (e.g., `snowflake-dev-V1_3_3-5`) for clear traceability.
* The promote-to-GA workflow gained a more robust **automatic changelog generation**, plus:
  * Better error handling for the first GA release vs. incremental releases.
  * A new **changelog preview workflow** that shows changes between any two refs in the GitHub Actions summary.
* Workflow permissions now explicitly allow **read access to pull requests** and wire in `GITHUB_TOKEN` where needed so changelog jobs can query the GitHub API successfully.
* Redundant git-tag steps and unnecessary complexity were removed from Snowflake deployment workflows.

***

#### Improved Metrics Model & Observability

Metrics storage and schema have been upgraded to support richer analysis and safer evolution.

* Each metric record now includes a **globally unique `unique_id`** for more reliable correlation and updates across systems.
* The `attributes` column is now **native JSON** (JSONB where supported), enabling richer structured metric metadata.
* SQLAlchemy and related adapters were upgraded to **2.0-compatible versions**, and unused Redshift-specific dependencies were removed.
* Redundant indexes on the metrics model were cleaned up, reducing clutter and keeping database schemas tidy.

***

#### Better Embedding Stability in Proxy/Hybrid Environments

Beyond the big features, there are multiple incremental embedding improvements that reduce production surprises.

* Embedding calls now **explicitly pass provider-specific endpoints and keys** when global proxy settings would otherwise interfere.
* Normalization and mapping between Genesis provider labels and LiteLLM provider names ensure that **Bedrock and other providers are recognized correctly**.
* Additional tests validate that mixed setups (proxy for LLMs, direct providers for embeddings) behave predictably.

***

#### Observability & Logs UX Refinements

The Pulse logs experience is easier to use for real-time troubleshooting.

* The Pulse Live Logs page now supports **horizontal scrolling** so long lines (stack traces, JSON, SQL) are fully visible.
* Log lines use **clear color-coding by level** (INFO, ERROR, WARNING, telemetry) with theme-aware styling instead of ad-hoc string matching.
* Layout and theming fixes improve readability in both light and dark modes.

***

#### Dark Mode & Theming Polish

We continued to refine the new theming system introduced with dark mode.

* The dashboard, chat, missions views, config pages, and Pulse screens now use **consistent theme tokens** for backgrounds, borders, text, and states.
* Dark mode and light mode behavior is more consistent, including inputs, notifications, accordions, tables, and “testing” banners.
* Many one-off hardcoded colors have been replaced with **centralized theme variables** for easier future updates.

***

#### Under the Hood

Under-the-hood improvements that support reliability and maintainability:

* Snowflake helper scripts and actions were cleaned up (removing stale imports and redundant tags) to **eliminate brittle failure points** in long-lived workflows.
* Demo SQLite database connections are now **auto-repaired** on startup to avoid broken sample connections when paths change.
* Multiple new and refactored test suites cover SSRM behavior, configuration sources, embedding providers, and deployment helpers.

***

#### What This Means for You

**🔐 Safer, clearer infrastructure**

Your release, deployment, and metrics pipelines are easier to reason about, with clearer tags, richer metric schemas, and more robust Snowflake workflows.

**📊 Faster, more scalable analytics UX**

Query results and logs remain responsive at larger scales, and you can interact with them using powerful server-side filtering, sorting, grouping, and pivoting.

**🧠 More reliable AI behavior**

Embedding behavior is more predictable across proxies and providers, reducing production surprises in vector search and AI-powered experiences.

***

Have feedback or want to see a capability expanded in a future release? We’d love to hear from you.

**— The Genesis Team**