Skip to main content

RapidLLM

RapidLLM is a Python framework for building predictable, reliable multi-tool LLM agents. It emphasizes multi-tool orchestration over single-call monolithic prompts, making your agents more modular, testable, and efficient.

Features

  • Simple multi-tool agent architecture.
  • Clear separation of concerns between tools.
  • Predictable step-by-step execution.
  • Easy to extend with your own tools.

Installation

pip install rapidllm

## Quick Example

Below is a very minimal example of using RapidLLM to create an agent that lists files:

from rapidllm.agent import run_agent
from rapidllm.tools import list_files_tool

# Define available tools
TOOLS = [list_files_tool]

if __name__ == "__main__":
    run_agent(
        system_prompt="List all files in the src directory.",
        tools=TOOLS,
        model="gpt-4"
    )

Metadata

Release files for rapidllm 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rapidllm 0.5.0
File Size Uploaded Provenance Actions
rapidllm-0.5.0.tar.gz 4.6 kB Without provenance Details for rapidllm-0.5.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for rapidllm 0.5.0
File Interpreter ABI Platform Actions
rapidllm-0.5.0-py3-none-any.whl Python 3 none any Details for rapidllm-0.5.0-py3-none-any.whl

Total release size: 10.0 kB

Release files / rapidllm-0.5.0.tar.gz

Download URL rapidllm-0.5.0.tar.gz
Size 4.6 kB
Tags Source
SHA-256 checksum
How to use checksums
ffdb99bef3e575f28ef83f18acdcd5e2bb977959dc7f74ce0367373067e2f9b6
BLAKE2b-256 checksum
How to use checksums
a8227caa2ee8821fea7b5ea8eca622a84def339c0b87e1eff21ee1f6610a13f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Release files / rapidllm-0.5.0-py3-none-any.whl

Download URL rapidllm-0.5.0-py3-none-any.whl
Size 5.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d5b585bc9adf8b1c3ebff54ab55ba4c5538c768ae7d1f3dcd7acd2cc66276673
BLAKE2b-256 checksum
How to use checksums
0b90e81b6bad8e09cd487cb5aef4ca0f9b236746332d9f9071c6d210f82d2e94
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.13.2

Security for rapidllm 0.5.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.5.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page