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cli-anything-ollama

Manage Ollama models and run text generation, chat, and embeddings, which represent text as numerical vectors, through command-line requests. Check server status, inspect model details, and receive structured JSON output for agent workflows.

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Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.

설치 방법 보기

이럴 때 유용합니다

  • Download models and inspect their details
  • Generate text or chat with a chosen model
  • Convert text into numerical vectors
  • Check server status and loaded models

포함된 파일(1)

  • SKILL.md4.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

cli-anything-ollama

Local LLM inference and model management via the Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.

Installation

This CLI is installed as part of the cli-anything-ollama package:

pip install cli-anything-ollama

Prerequisites:

  • Python 3.10+
  • Ollama must be installed and running (ollama serve)

Usage

Basic Commands

# Show help
cli-anything-ollama --help

# Start interactive REPL mode
cli-anything-ollama

# List available models
cli-anything-ollama model list

# Run with JSON output (for agent consumption)
cli-anything-ollama --json model list

REPL Mode

When invoked without a subcommand, the CLI enters an interactive REPL session:

cli-anything-ollama
# Enter commands interactively with tab-completion and history

Command Groups

Model

Model management commands.

CommandDescription
listList locally available models
showShow model details (parameters, template, license)
pullDownload a model from the Ollama library
rmDelete a model from local storage
copyCopy a model to a new name
psList models currently loaded in memory

Generate

Text generation and chat commands.

CommandDescription
textGenerate text from a prompt
chatSend a chat completion request

Embed

Embedding generation commands.

CommandDescription
textGenerate embeddings for text

Server

Server status and info commands.

CommandDescription
statusCheck if Ollama server is running
versionShow Ollama server version

Session

Session state commands.

CommandDescription
statusShow current session state
historyShow chat history for current session

Examples

List and Pull Models

# List available models
cli-anything-ollama model list

# Pull a model
cli-anything-ollama model pull llama3.2

# Show model details
cli-anything-ollama model show llama3.2

Generate Text

# Stream text (default)
cli-anything-ollama generate text --model llama3.2 --prompt "Explain quantum computing in one sentence"

# Non-streaming with JSON output (for agents)
cli-anything-ollama --json generate text --model llama3.2 --prompt "Hello" --no-stream

Chat

# Single-turn chat
cli-anything-ollama generate chat --model llama3.2 --message "user:What is Python?"

# Multi-turn chat
cli-anything-ollama generate chat --model llama3.2 \
  --message "user:What is Python?" \
  --message "user:How does it compare to JavaScript?"

# Chat from JSON file
cli-anything-ollama generate chat --model llama3.2 --file messages.json

Embeddings

cli-anything-ollama embed text --model nomic-embed-text --input "Hello world"
cli-anything-ollama embed text --model nomic-embed-text --input "Hello" --input "World"

Interactive REPL Session

Start an interactive session for exploratory use.

cli-anything-ollama
# Enter commands interactively
# Use 'help' to see available commands

Connect to Remote Host

cli-anything-ollama --host http://192.168.1.100:11434 model list

State Management

The CLI maintains lightweight session state:

  • Current host URL: Configurable via --host
  • Chat history: Tracked for multi-turn conversations in REPL
  • Last used model: Shown in REPL prompt

Output Formats

All commands support dual output modes:

  • Human-readable (default): Tables, colors, formatted text
  • Machine-readable (--json flag): Structured JSON for agent consumption
# Human output
cli-anything-ollama model list

# JSON output for agents
cli-anything-ollama --json model list

For AI Agents

When using this CLI programmatically:

  1. Always use --json flag for parseable output
  2. Check return codes - 0 for success, non-zero for errors
  3. Parse stderr for error messages on failure
  4. Use --no-stream for generate/chat to get complete responses
  5. Verify Ollama is running with server status before other commands

More Information

  • Full documentation: See README.md in the package
  • Test coverage: See TEST.md in the package
  • Methodology: See HARNESS.md in the cli-anything-plugin

Version

1.0.1

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