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feat(agentx): publish to PyPI and add the agentx command - #51
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Signed-off-by: Cam Quilici <cjquilici@gmail.com>
Try out this PRQuick install: pip install --upgrade --force-reinstall git+https://github.com/ai-dynamo/aiperf.git@55982577a0162f1d1026811949ad4052ebcbbff3Recommended with virtual environment (using uv): uv venv --python 3.12 && source .venv/bin/activate
uv pip install --upgrade --force-reinstall git+https://github.com/ai-dynamo/aiperf.git@55982577a0162f1d1026811949ad4052ebcbbff3Last updated for commit: |
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Users can install
agentx-harnessfrom PyPI and runagentx profilewithout cloning the repository or repeating--scenario agentx. Explicit scenario overrides and YAML configuration keep their existing behavior; the compatibilityaiperfcommand remains available.Release tags
agentx-vX.Y.Zbuild and publish package versionX.Y.Zthrough PyPI Trusted Publishing. The release adapter changes metadata only in a temporary build tree, preserving upstream's source package identity and CLI. It also carries thedatasets>=4.7.0requirement needed by the public AgentX corpora. Wheel and source installations are exercised before publishing, then the exact PyPI version is installed and exercised again.Installed-package integration passed for wheel and source distributions on Python 3.11, 3.12, and 3.13. Each ran against a local streaming HTTP endpoint, selected the AgentX scenario, exported three profiling requests plus one warmup request, and reported zero errors.
InferenceX migration: SemiAnalysisAI/InferenceX#3940