OpenAI CLI - A command-line interface tool from OpenAI - AiBoss

What is OpenAI CLI?

OpenAI CLI is the official command-line interface tool released by OpenAI, spearheaded by Jason Liu, a developer experience engineer at the Codex team. This tool allows developers to access OpenAI's latest model capabilities directly in the terminal with a single command, without needing to write Python or Node.js SDK scripts. The tool supports the Responses API, multimodal tasks, project management, and Unix-style piped output.

Main functions of OpenAI CLI

Responses API call: Directly call the OpenAI Responses interface in the terminal, supporting all cloud tools and function calls.
Multimodal task supportSupports image generation/editing, speech transcription, and text-to-speech (TTS).
project managementIt allows you to create projects and configure API keys, facilitating team-level permission and resource management.
Unix-style structured outputSupports multiple output formats such as JSON, YAML, and Pretty, and is natively compatible with piping and redirection.
File parameter passing:pass @file.ext The syntax allows for direct file uploads, and it supports automatic text sniffing or Base64 encoding.

The technical principles of OpenAI CLI

Resource-based command architecture:use openai [resource] <command> [flags...] The resource-oriented design maps one-to-one with the REST API path.
Go language buildDeveloped based on Go 1.25+, deployed with a single binary file, offering high performance and strong cross-platform compatibility.
Environment variable driven:pass OPENAI_API_KEY,OPENAI_ADMIN_KEY Once the environment variables complete the authentication, there is no need to hardcode the key.
GJSON data conversion:built-in --transform The parameters support real-time filtering and transformation of output data using GJSON syntax.
Explicit coding mechanismAutomatically detects file types, supports... @file://(Text) and @data://(Base64) Explicit encoding declaration.

How to use OpenAI CLI

Installation tools:run brew install openai/tools/openai Or through go install Install from source code.
Configuration keyExport in shell OPENAI_API_KEY Environment variables, or each command passed --api-key Incoming.
Initiate a dialogue:implement openai responses create --input "你的提示词" --model gpt-5.5 The model's response can be obtained from the terminal.
Pipeline automation: Use Unix pipes to directly input file contents, such as cat error.log | openai chat --system "分析风险" > analysis.txt.
View helpAppend to any command --help For detailed parameter descriptions, use --format json Switch the output format.

The core advantages of OpenAI CLI

Zero-latency debuggingNo need to write scripts or restart the program; the terminal can instantly test the prompt and parameters, shortening the development cycle.
Native Pipeline IntegrationSeamlessly integrates with the Linux/macOS command-line ecosystem, and can be used with... grep,awk,jq Toolchain-style combinations, etc.
Lightweight and non-addictiveA single binary file that requires no Python/Node.js environment and is suitable for Docker images and Crontab scheduled tasks.
Official standards and specificationsMaintained by OpenAI, it directly aligns with the latest API specifications, avoiding compatibility risks associated with third-party tools.

OpenAI CLI project address

GitHub repositoryhttps://github.com/openai/openai-cli

Comparison of OpenAI CLI with similar products

Comparison Dimensions	OpenAI CLI	Gemini CLI	Gen CLI
Development Team	OpenAI Official	Google official	Community open source (based on Gemini CLI fork)
Open source license	Apache 2.0	Apache 2.0	Open source (inherited from Gemini CLI)
position	General API command-line client	Terminal AI Agent (Development Assistant)	Code generation and automated workflow tools
Support Model	GPT-5.5 / GPT-4o and other full series	Gemini 2.5 Pro/Flash, etc.	DeepSeek + other AI models
Context window	128K-256K (depending on the model)	1M Token	Inheriting the Gemini CLI architecture
Installation method	Homebrew / Go install	npm / Homebrew / MacPorts	Compatible with macOS, Windows, and Linux
Authentication method	API Key / Admin Key	Google Account OAuth / API Key / Vertex AI	The corresponding model API Key needs to be configured.
Free quota	None (you need to provide your own API Key)	1000 requests/day (personal account)	Depending on the model provider used
File processing	`@file` Automatic syntax encoding	Direct read/write of local file system	Supports file context input
Interaction mode	Imperative (non-interactive)	Interactive terminal dialogue	CLI terminal + Web UI + API interface
Built-in tools	Pure API call	Google Search, MCP, Shell commands	Code generation, Git operations, task automation
Output format	json/yaml/jsonl/pretty/raw etc.	Interactive terminal output	Multi-mode output (script/dialogue/web)
Applicable Scenarios	API testing, automation scripts, and operations management	Terminal programming, code analysis, and automated tasks	Code generation, batch processing, workflow automation

Application scenarios of OpenAI CLI

Log analysis and maintenance: Batch analyze server log anomalies and integrate AI output into the monitoring and alarm process via pipeline.
Rapid PrototypingBefore formal coding, use the terminal to quickly iterate over combinations of parameters such as Prompt and Temperature.
Batch content processingUse scripts to call image generation, speech synthesis, or multimodal interfaces in batches to achieve automated content production.
Backend resource managementBatch management of fine-tuning tasks, vector database files, and organization-level usage statistics, replacing inefficient web operations.