diff --git a/CHANGELOG.md b/CHANGELOG.md
index 987abb1..1e60e1e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.6.0] - 2026-10-22
+
 ### Added
 
 - **`captures.rounds` in `evalshift.yaml`.** `first` (the default) or `all` sets
diff --git a/DOCS.md b/DOCS.md
index 3a26d5e..dbcc8b1 100644
--- a/DOCS.md
+++ b/DOCS.md
@@ -12,7 +12,7 @@ hosted (opt-in)  run history, diffs, PR gates
 
 The suite is the crux, so the capture SDK is the recommended way to build one: it records real production runs to disk and `evalshift capture sync` promotes them into golden suites. Hand-written suites are fully supported — see [The golden suite](#the-golden-suite).
 
-- **Package name:** `evalshift` · **CLI entry point:** `evalshift` · **version:** 1.5.0
+- **Package name:** `evalshift` · **CLI entry point:** `evalshift` · **version:** 1.6.0
 - **Python:** >= 3.11 · **License:** Apache-2.0 · **Status:** stable
 - **Local-first.** Runs, scores, stats, and reports all happen on your machine under `.evalshift/`. The only network calls are the model API calls you asked for — and, if you opt in, pushes to the hosted service and reads from a capture bucket you own (`captures.store`).
 - **Four pieces:** CLI (this doc), SDK, GitHub Action, hosted server — each with its own machine-readable reference for AI tools. See [Ecosystem and AI-tool references](#ecosystem-and-ai-tool-references).
diff --git a/docs/configuration.md b/docs/configuration.md
index 7aceae9..2f26dea 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -1100,8 +1100,8 @@ used them). Take it knowingly: `--force` rebuilds every promoted case whose capt
 (not after `capture clean` or on a fresh checkout, where promoted captures are not fetched) from
 its capture, which drops hand edits and `provenance: reviewed` marks. Reviewed cases, stale ones
 and ones promoted under another name (`capture promote --as`) are left out of the count. An
-evalshift older than the release that added `rounds` rejects the key, so update a CI pin
-(`evalshift-version:`) before adding it.
+evalshift older than 1.6.0 rejects the key, so update a CI pin (`evalshift-version:`) before
+adding it.
 
 Setting either `max_age` or `max_cases` turns [bounded suites](#bounded-suites) on. Both work
 without `store`: they govern how captures become suites, whether the captures came from disk or
@@ -1112,7 +1112,7 @@ because it would silently mean seconds. So is a `max_age` above 100 years, which
 "no limit": `captures.max_age: Value error, must be at most 36500d (100 years); omit
 captures.max_age for no age limit`.
 
-CLI versions before 1.3.0 reject the `captures:` key, and versions before this release reject
+CLI versions before 1.3.0 reject the `captures:` key, and versions before 1.6.0 reject
 `max_age` and `max_cases` (the config is strict). Bump the CLI, and a pinned GitHub Action's
 `evalshift-version`, before adding them.
 
diff --git a/llms-full.txt b/llms-full.txt
index 433ee32..096ff13 100644
--- a/llms-full.txt
+++ b/llms-full.txt
@@ -1,7 +1,7 @@
 # evalshift (CLI) — complete reference for AI tools
 
 Canonical hosted copy: https://www.evalshift.dev/cli-llms-full.txt
-Package: evalshift (PyPI) | CLI entry point: evalshift | version: 1.5.0
+Package: evalshift (PyPI) | CLI entry point: evalshift | version: 1.6.0
 Python: >=3.11 | license: Apache-2.0 | status: stable
 Install: pip install evalshift   (or: uv pip install evalshift)
 
diff --git a/pyproject.toml b/pyproject.toml
index d0a2844..38f288f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "evalshift"
-version = "1.5.0"
+version = "1.6.0"
 description = "Run your prompts on two LLMs and find out, with statistical confidence, what regressed."
 readme = "README.md"
 license = "Apache-2.0"