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DecisionAct PyPI Downloads

Every Action Is a Decision
Decision-Model-Driven Execution for Structured Agent Workflows

DecisionAct is a Python agent framework for building task-focused agents with predefined intents, tools, and outcomes (with reply templates). Decision models interpret user requests and select actions; your Python functions execute them.

Installation

Using pip:

pip install decisionact

Using uv inside a project:

uv add decisionact

Versions

Current source and documentation: v0.1.2. Earlier releases: v0.1.1 and v0.1.0.

See the changelog for detailed release notes and upgrade guidance.

Documentation

v0.1.2 adds fresh inputs for repeated tool invocations, earlier-result input choices, structured decision state, one input-confidence recheck and renewable call allowances with a hard cap. See the calculator example and upgrade notes.

Read the documentation for the quickstart, agent-building guides, execution flow, and API reference.

License

MIT - AnilKumarBorige

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A Python agent framework powered by decision models.

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