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AiChat CLI

A command-line tool for AI Dialogue via the AceDataCloud platform.

Features

  • Chat with AI — Send questions to GPT, DeepSeek, Grok, GLM, and more models
  • Conversation Continuation — Resume conversations using --id
  • Stateful Sessions — Enable multi-turn context with --stateful
  • References — Inject context documents into prompts with --ref
  • Rich Output — Beautiful terminal formatting with --json for scripting
  • Many Models — GPT-5, GPT-4o, o3, o4-mini, DeepSeek, Grok, GLM, and more

Installation

pip install aichat-pro-cli

Quick Start

# Set your API token
export ACEDATACLOUD_API_TOKEN=your_token_here

# Ask a question
aichat chat "What is the capital of France?"

# Use a specific model
aichat chat "Explain quantum computing" -m gpt-4o

# Continue a conversation
aichat chat "Tell me more" --id 64a67fff-61dc-4801-8339-2c69334c61d6

# Stateful conversation (server remembers context)
aichat chat "My name is Alice" --stateful
aichat chat "What is my name?" --id <returned-id> --stateful

# With reference documents
aichat chat "Summarize this" --ref "https://example.com/doc.txt"

# Get JSON output
aichat chat "Hello" --json | jq '.answer'

Commands

Command Description
chat Send a question to an AI model (/aichat/conversations)
chat2 Send a conversation request with structured messages and tool results (/aichat2/conversations)
models List all available models
models2 List models available to chat2
config Show current configuration

Chat Options

Option Description
-m, --model Model to use (default: gpt-4o)
--id Conversation ID to continue
--preset Preset model name
--stateful Enable stateful conversation
--ref Reference URL or text (repeatable)
--json Output raw JSON

Configuration

Environment Variable Description Default
ACEDATACLOUD_API_TOKEN API authentication token (required)
ACEDATACLOUD_API_BASE_URL API base URL https://api.acedata.cloud
AICHAT_REQUEST_TIMEOUT Request timeout in seconds 30

You can also use a .env file or pass --token directly.

Docker

docker compose run aichat-cli chat "Hello!"

Development

# Install with dev dependencies
pip install -e ".[all]"

# Run tests
pytest

# Run linter
ruff check .
ruff format --check .

License

MIT License - see LICENSE for details.

Metadata

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