Skip to main content

Command-line tools for LLM Workers - llm-workers-cli and llm-workers-chat

Project description

llm-workers-tools

Command-line tools for LLM Workers.

Overview

llm-workers-tools provides command-line entry points for working with LLM scripts:

  • llm-workers-cli: Batch processing tool for running LLM scripts with command-line or stdin input
  • llm-workers-chat: Interactive chat interface for conversational LLM interactions

Installation

pip install llm-workers-tools

This will install both llm-workers (core) and llm-workers-console (UI) as dependencies.

Usage

Batch CLI Tool

Process prompts in batch mode:

# Single prompt
llm-workers-cli my-script.yaml "What is the capital of France?"

# Multiple prompts
llm-workers-cli my-script.yaml "prompt 1" "prompt 2" "prompt 3"

# Read from stdin
echo "prompt from stdin" | llm-workers-cli my-script.yaml -

# Enable verbose output
llm-workers-cli --verbose my-script.yaml "prompt"

# Enable debug mode
llm-workers-cli --debug my-script.yaml "prompt"

Interactive Chat

Start an interactive chat session:

# With specific script
llm-workers-chat my-script.yaml

# With default generic assistant
llm-workers-chat

# Resume last session
llm-workers-chat --resume

# With verbose logging
llm-workers-chat --verbose my-script.yaml

Chat Commands

In chat mode, use these commands:

  • /help - Show available commands
  • /model <name> - Switch to different model
  • /rewind [N] - Rewind to earlier message
  • /display [setting] [value] - Show/modify display settings
  • /cost - Show token usage and costs
  • /export <name> - Export chat as markdown
  • /save <name> - Save session to YAML
  • /clear - Reset chat session
  • /exit - Exit (auto-saves to .last.chat.yaml)

Documentation

Full documentation: https://mrbagheera.github.io/llm-workers/

License

See main repository for license information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_workers_tools-1.1.0.tar.gz (2.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llm_workers_tools-1.1.0-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file llm_workers_tools-1.1.0.tar.gz.

File metadata

  • Download URL: llm_workers_tools-1.1.0.tar.gz
  • Upload date:
  • Size: 2.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.4 Darwin/23.6.0

File hashes

Hashes for llm_workers_tools-1.1.0.tar.gz
Algorithm Hash digest
SHA256 ad7de5a82d34c3f12c918e039137443d8edf3af2750a60e0b9932b91cb92bbc4
MD5 93c520a1c28152cfc65322d50a01734b
BLAKE2b-256 1a1e462b98aa410ae186d4b752c4a5cea8ae6d70aaf3a1bd9724c8feb4435add

See more details on using hashes here.

File details

Details for the file llm_workers_tools-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: llm_workers_tools-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.4 Darwin/23.6.0

File hashes

Hashes for llm_workers_tools-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c599437374a01ae832612714fd1364528ecae255d84255578180f4cbaae50ba5
MD5 a10a608fbb9016cf2d950893f70edecc
BLAKE2b-256 0d21d7da84320bb66a6d2f6f91be2a1360114f6b6ddbc27984b070f5d440a23f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page