A CLI tool that sends prompts to an LLM and outputs responses
Project description
llmcat
A CLI tool that sends prompts to an LLM and outputs responses.
Installation
uv sync
Usage
# Set your API key
export LLMCAT_API_KEY=your-api-key
# Send a prompt
llmcat "What is the capital of France?"
# Pipe input
echo "Summarize this text" | llmcat
# Read from file
llmcat -f context.txt "Analyze this"
# Write to file
llmcat "Hello" -o output.txt
# Specify model
llmcat --model gpt-4o "Hello"
Configuration
Environment variables:
LLMCAT_API_KEY- Required. Your OpenAI API key.LLMCAT_MODEL- Optional. Default model (defaults togpt-4o-mini).LLMCAT_API_BASE_URL- Optional. Custom API endpoint.
Development
# Run tests
uv run pytest
# Run tests with Hypothesis
uv run pytest -v
# Lint and format
uv run ruff check .
uv run ruff format .
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