proxy-base-agent
A stateful agent with 100% reliable tool use. Build custom agents on any LLM with guaranteed state consistency.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (12.8%) to scientific vocabulary
Keywords
Repository
A stateful agent with 100% reliable tool use. Build custom agents on any LLM with guaranteed state consistency.
Basic Info
- Host: GitHub
- Owner: TheProxyCompany
- Language: Python
- Default Branch: main
- Homepage: https://theproxycompany.com/pba
- Size: 871 KB
Statistics
- Stars: 9
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
A stateful agent with 100% reliable tool use.
Build custom agents on any LLM with guaranteed state consistency and 100% reliable tool use.
Powered by the Proxy Structuring Engine (PSE).
The Problem: Agents That Don't Work
Most LLM agents rely on fragile prompt engineering. This leads to unpredictable state management, hallucinated tool arguments, and frequent execution failures – making reliable automation nearly impossible.
The Proxy Base Agent (PBA) is the engineered solution. PBA uses the Proxy Structuring Engine (PSE) – our high-performance Hierarchical State Machine (HSM) engine – to enforce reliable, stateful execution for any LLM.
With the Proxy Base Agent, you define your agent's behavior through a defined state graph, and PSE guarantees the LLM adheres to it, step-by-step.
Key Capabilities
- Guaranteed Stateful Execution: Define agent workflows as explicit HSMs (e.g., Plan ➔ Act). PSE ensures the LLM follows the defined states and transitions precisely.
- 100% Reliable Tool Use: Eliminate runtime errors from malformed API calls or hallucinated function arguments. PSE guarantees tool calls match their required schema during generation.
- Dynamic Runtime Adaptation (MCP): Connect to external Model Context Protocol (MCP) servers on-the-fly. PBA instantly integrates new tools and capabilities with the same structural guarantees, no restarts needed.
- Model & Framework Agnostic: Run reliable agents locally using your preferred LLMs and backends (MLX, PyTorch supported).
- Modular & Extensible: Build specialized agents by adding custom tools, defining new states, or modifying the core HSM architecture.
How It Works: Reliability Through Structure
PBA's core is an HSM enforced by PSE at runtime:
- HSM Definition: Agent logic (states like Thinking, Tool Call) is defined as a
StateMachine. Each state uses a nested PSEStateMachineto enforce its specific output structure (e.g., fenced text, JSON schema). - PSE Runtime Enforcement: The
StructuringEngineensures the LLM generates only valid state transitions and structurally correct output within each state. Tool call arguments are guaranteed to match the required schema. - Dynamic Updates (MCP): Connecting to an MCP server rebuilds the relevant parts of the HSM and reconfigures PSE instantly, making new tools reliably available.
PBA doesn't just ask the LLM to be stateful and reliable; it engineers it through PSE's runtime HSM governance.
Installation
bash
pip install proxy-base-agent
(See Installation Docs for full details, development setup, and framework extras)
Quickstart
Launch the interactive setup wizard to configure your LLM and run the agent:
bash
python -m agent
Documentation
We've created detailed technical documentation for the Proxy Base Agent:
The Proxy Company Services
Leverage our foundational expertise to build complex, mission-critical agentic systems with PBA. We offer:
- Custom Agent Development: Tailored agents for your specific workflows.
- Advanced Integration: Connect PBA reliably to proprietary systems and APIs.
- Production Support: Architecture, performance tuning, and support contracts.
➡️ Explore Business Services & Schedule Consultation
License
Apache 2.0 (LICENSE). Depends on pse (Apache 2.0).
Citation
bibtex
@software{Wind_Proxy_Base_Agent_2025,
author = {Wind, Jack},
title = {{Proxy Base Agent: Reliable AI Execution via Hierarchical State Machines}},
version = {1.0.0},
date = {2025-04-15},
url = {https://github.com/TheProxyCompany/proxy-base-agent},
publisher = {The Proxy Company},
note = {Leverages the Proxy Structuring Engine (PSE) for runtime guarantees}
}
Owner
- Name: The Proxy Company
- Login: TheProxyCompany
- Kind: user
- Website: www.what-is-proxy.com
- Repositories: 1
- Profile: https://github.com/TheProxyCompany
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wind" given-names: "Jack" title: "Proxy Base Agent" version: 1.0.0 date-released: 2025-04-03 url: "https://github.com/TheProxyCompany/proxy-base-agent" repository-code: "https://github.com/TheProxyCompany/proxy-base-agent" publisher: "The Proxy Company"
GitHub Events
Total
- Release event: 1
- Watch event: 5
- Push event: 28
- Create event: 2
Last Year
- Release event: 1
- Watch event: 5
- Push event: 28
- Create event: 2
Packages
- Total packages: 1
-
Total downloads:
- pypi 24 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
pypi.org: proxy-base-agent
A stateful, tool-enabled agent powered by the Proxy Structuring Engine.
- Documentation: https://proxy-base-agent.readthedocs.io/
-
Latest release: 1.0.1
published 10 months ago