AI / LLM Tools
llm (Simon Willison)
# Quick prompt
llm "What is the capital of France?"
# Pipe text for processing
cat article.txt | llm "Summarize this in 3 bullet points"
git diff | llm "Write a commit message for these changes"
pbpaste | llm "Fix the grammar in this text"
# Interactive chat
llm chat
# Use specific model
llm -m claude-3.5-sonnet "Explain quantum computing"
llm -m gpt-4o "Review this code"
# List available models
llm models
# Install model plugins
llm install llm-claude-3
llm install llm-ollama # local models
# View prompt/response history
llm logs list
llm logs last
aichat
# Quick prompt
aichat "Explain Docker in simple terms"
# Pipe input
cat code.py | aichat "Find bugs in this code"
# Interactive REPL
aichat
# Shell assistant (generates and runs commands)
aichat -e "find all files larger than 100MB"
# Specific model
aichat -m claude-3.5-sonnet "Hello"
# List models
aichat --list-models
Guidelines
- Use
llmfor piping text through LLMs (summarize, translate, analyze) - Use
aichat -efor generating shell commands from natural language - Both tools store API keys locally — set up once with auth commands
llmhas the richest plugin ecosystem (100+ model providers)aichatis faster (Rust) and has built-in RAG support- These tools use separate API keys from Claude Code — user pays per token