# Datasette-llm 0.1a10

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-11-04T15:26:02.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [Simon Willison AI](https://simonwillison.net/2026/Nov/4/datasette-llm)  
> **Canonical Citation:** [https://spidits.com/timeline/datasette-llm-0-1a10](https://spidits.com/timeline/datasette-llm-0-1a10)

## Executive Summary
Release: datasette-llm 0.1a10 Fixes a bug that affected my agent.datasette.io demo site, where the set of available LLM models was not correctly restricted to just those in the configuration.

## Why It Matters (Strategic Analysis)
Unrestricted model selection in LLM deployment interfaces permits unauthorized execution against unintended backends, presenting configuration leakage risks. Enforcing strict parameter-to-configuration mapping is necessary for maintaining isolation boundaries in multi-model environments.

## Referenced Coverage & Sources
- **[Simon Willison AI](https://simonwillison.net/2026/Nov/4/datasette-llm)**: datasette-llm 0.1a10 — _Release: datasette-llm 0.1a10 Fixes a bug that affected my agent.datasette.io demo site, where the set of available LLM models was not correctly restricted to just those in the configuration. Tags: llm..._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*