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chore(release): 2.19.1 [skip ci]
## [2.19.1](v2.19.0...v2.19.1) (2025-12-10) ### Bug Fixes * add bounded retry logic for LLM rate limit handling ([#205](#205)) ([6ecb786](6ecb786)), closes [#104](#104) * make E2E test timeouts configurable and add sensitive directory test ([#206](#206)) ([27e87e5](27e87e5)), closes [#104](#104) [#192](#192)
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CHANGELOG.md

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## [2.19.1](https://github.com/ambient-code/agentready/compare/v2.19.0...v2.19.1) (2025-12-10)
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### Bug Fixes
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* add bounded retry logic for LLM rate limit handling ([#205](https://github.com/ambient-code/agentready/issues/205)) ([6ecb786](https://github.com/ambient-code/agentready/commit/6ecb78696c09880911ade14d0be1dd824be998dd)), closes [#104](https://github.com/ambient-code/agentready/issues/104)
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* make E2E test timeouts configurable and add sensitive directory test ([#206](https://github.com/ambient-code/agentready/issues/206)) ([27e87e5](https://github.com/ambient-code/agentready/commit/27e87e52fa6cccc3bccf671d6fd4964b29817b04)), closes [#104](https://github.com/ambient-code/agentready/issues/104) [#192](https://github.com/ambient-code/agentready/issues/192)
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# [2.19.0](https://github.com/ambient-code/agentready/compare/v2.18.0...v2.19.0) (2025-12-10)
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CLAUDE.md

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AgentReady is a Python CLI tool that evaluates repositories against a comprehensive set of carefully researched attributes that make codebases more effective for AI-assisted development. It generates interactive HTML reports, version-control friendly Markdown reports, and machine-readable JSON output.
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**Current Status**: v2.19.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.19.1 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
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**Last Updated**: 2025-12-10 by Jeremy Eder
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**AgentReady Version**: 2.19.0
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**AgentReady Version**: 2.19.1
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**Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

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[project]
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name = "agentready"
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version = "2.19.0"
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version = "2.19.1"
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description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
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authors = [{name = "Jeremy Eder", email = "jeder@redhat.com"}]
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readme = "README.md"

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