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<title>The Agent Reliability Stack β Tour</title>
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<h1>The Agent Reliability Stack</h1>
<p class="lede">Five small, focused libraries that fix the boring problems every long-running AI agent eventually hits. Pure Python, zero runtime deps. BYO LLM.</p>
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<span>fit</span><span class="arrow">β</span>
<span>guard</span><span class="arrow">β</span>
<span>snap</span><span class="arrow">β</span>
<span>vet</span><span class="arrow">β</span>
<span>cast</span>
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<h2>The five libraries</h2>
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<h3>πͺ fit</h3>
<div class="one-liner">Fit a chat history into a token budget.</div>
<p>Drop-oldest, drop-middle, or priority-based truncation. Pluggable tokenizers. Preserves system + last-N messages.</p>
<a href="https://pypi.org/project/agentfit-py/">PyPI</a> Β· <a href="https://huggingface.co/spaces/mukunda1729/token-counter">Token counter</a>
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<h3>π‘οΈ guard</h3>
<div class="one-liner">Network egress firewall for agent tools.</div>
<p>Declarative allow/deny lists for any URL the agent tries to fetch. Throws on violation, before the request leaves your process.</p>
<a href="https://pypi.org/project/agentguard-firewall/">PyPI</a>
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<h3>πΈ snap</h3>
<div class="one-liner">Diff two tool-call traces.</div>
<p>Catch silent regressions in agent pipelines: same input, different tools, different output. Snapshot tests for agents.</p>
<a href="https://pypi.org/project/agentsnap-py/">PyPI</a> Β· <a href="https://huggingface.co/datasets/mukunda1729/agent-trace-samples">Sample traces</a>
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<h3>β
vet</h3>
<div class="one-liner">Validate tool-call args before execution.</div>
<p>Wraps any tool. Returns LLM-friendly retry hints when args are wrong, so the model can self-correct.</p>
<a href="https://pypi.org/project/agentvet-py/">PyPI</a>
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<h3>π― cast</h3>
<div class="one-liner">Extract JSON from messy LLM output.</div>
<p>Tolerant extractor that handles fenced blocks, prose-wrapped JSON, refusals. Validates against a shape.</p>
<a href="https://pypi.org/project/agentcast-py/">PyPI</a> Β· <a href="https://huggingface.co/spaces/mukunda1729/json-extractor">JSON extractor</a>
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<h2>Install</h2>
<pre>pip install mk-agentkit # all five
pip install agentfit-py # individual
npm install @mukundakatta/agentkit # all five
npm install @mukundakatta/agentfit # individual</pre>
<h2>Try the live demos</h2>
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<li><a href="https://huggingface.co/spaces/mukunda1729/agent-stack-demo">agent-stack-demo</a> β all 5 libs in one Space</li>
<li><a href="https://huggingface.co/spaces/mukunda1729/token-counter">token-counter</a> β across 5 model families</li>
<li><a href="https://huggingface.co/spaces/mukunda1729/json-extractor">json-extractor</a> β for messy LLM text</li>
<li><a href="https://huggingface.co/spaces/mukunda1729/pii-redactor">pii-redactor</a> β find emails / secrets / IDs</li>
<li><a href="https://huggingface.co/spaces/mukunda1729/prompt-injection-detector">prompt-injection-detector</a> β heuristic scanner</li>
<li><a href="https://huggingface.co/spaces/mukunda1729/mcp-config-validator">mcp-config-validator</a> β sanity-check MCP configs</li>
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<h2>Datasets</h2>
<p>13 public datasets covering agent traces, prompt injections, MCP configs, hallucination cases, and more. <a href="https://huggingface.co/mukunda1729">Browse all on HuggingFace β</a></p>
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Built by <a href="https://github.com/MukundaKatta">Mukunda Katta</a> Β· MIT licensed across the board Β· <a href="https://mukundakatta.github.io/agent-stack/">Landing page</a>
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