Agent Actions

License PyPI Downloads Python

Declarative LLM orchestration. Define workflows in YAML — each action gets its own model, context window, schema, and pre-check gate. The framework handles DAG resolution, parallel execution, batch processing, and output validation.

[!WARNING] Experimental — Under active development. Expect breaking changes. Open an issue with feedback.

Agent Actions lifecycle: Define → Validate → Execute 

actions:
  - name: extract_features
    intent: "Extract key product features from listing"
    model_vendor: anthropic              # Each action picks its own model
    model_name: claude-sonnet-4-20250514

  - name: generate_description
    dependencies: [extract_features]
    model_vendor: openai                 # Mix vendors in one pipeline
    model_name: gpt-4o-mini
    context_scope:
      observe:
        - extract_features.features      # See only what it needs
      drop:
        - source.raw_html                # Don't waste tokens on noise

Install

pip install agent-actions

Quick start

agac init my_project && cd my_project                # scaffold a project
agac init example contract_reviewer my_project       # or start from an example
agac run -a my_workflow                              # execute

Why not just write Python?

You will, until you have 15 steps, 3 models, batch retry, and a teammate asks what your pipeline does.

Capability Agent Actions Python script n8n / Make
Per-step model selection YAML field Manual wiring Per-node config
Context isolation per step observe / drop You build it Not available
Pre-check guards (skip before LLM call) guard: If-statements Post-hoc branching
Parallel consensus (3 voters + merge) 2 lines of YAML Custom code Many nodes + JS
Schema validation + auto-reprompt Built in DIY Not available
Batch processing (1000s of records) Built in For-loops Loop nodes
The YAML is the documentation Yes No Visual graph

Examples

Example Pattern Key Features
Review Analyzer Parallel consensus 3 independent scorers, vote aggregation, guard on quality threshold
Contract Reviewer Map-reduce Split clauses, analyze each, aggregate risk summary
Product Listing Enrichment Tool + LLM hybrid LLM generates copy, tool fetches pricing, LLM optimizes
Book Catalog Enrichment Multi-step enrichment BISAC classification, marketing copy, SEO metadata, reading level
Incident Triage Parallel consensus Severity classification, impact assessment, team assignment, response plan
Support Resolution Non-JSON pipeline Classify, route, and draft responses using output_field — works with any model including local Ollama

Providers

Provider Batch Provider Batch
OpenAI Yes Groq Yes
Anthropic Yes Cohere Online only
Google Gemini Yes Ollama (local) Yes

Switch providers per-action by changing model_vendor.

Key capabilities

  • Pre-flight validation — schemas, dependencies, templates, and credentials checked before any LLM call
  • Batch processing — route thousands of records through provider batch APIs
  • User-defined functions — Python tools for pre/post-processing and custom logic
  • Reprompting — auto-retry when LLM output doesn't match schema
  • Observability — per-action timing, token counts, and structured event logs
  • Interactive docs — agac docs builds and serves a visual workflow dashboard

Documentation

Contributing

git clone https://github.com/Muizzkolapo/agent-actions.git && cd agent-actions
uv sync
pytest

See CONTRIBUTING.md. Report bugs via Issues.

License

Apache License 2.0

Project links

Data verified by PyPI on Aug 2, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (0.3.0)

1 maintainer

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Avatar for Muizz from gravatar.com Muizz

Credits

Author: Muizz Kolapo

GitHub Statistics

Data verified by PyPI on Aug 2, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License (Apache-2.0)

Requires

Python >=3.11

Provides Extra

dev nlp

Tags

agents ai anthropic batch-processing llm openai workflow yaml

Classifiers

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