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OpenAI CLI

https://github.com/openai/openai-cli
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Category
AI Tools
Rank
No. 371Tools index
Pricing
Open Source
Type
TOOL
Builder
openai
GitHub
686 stars
Latest release
v1.11.0
Date

About

Official command-line interface for the OpenAI API, written in Go.

What it does

OpenAI CLI maps API resources and actions into shell commands. You can provide request data through flags, piped YAML, JSON or YAML blobs, and file references. It handles standard and admin credentials, paginated results, binary responses, output conversion, and interactive JSON exploration.

Why it's ranked here

This is a strong pick for direct API work from scripts and terminals. Its resource-based command model covers varied operations such as responses, batches, audio, and administration. Machine-readable formats, GJSON transformations, automatic pagination, and file handling make it useful beyond simple manual requests.

What's good

Output supports JSON, JSONL, YAML, raw data, readable formatting, and an interactive explorer. List operations can page automatically with an optional item limit. File arguments distinguish text from binary data, while explicit schemes override content sniffing. Tests cover flags, piped YAML, multipart encoding, nested data, and array formats.

Tradeoffs

Mutual TLS remains beta, requires both certificate files, and needs an explicitly configured endpoint. HTTPS proxies are rejected when using that mode. Debug logging includes request and response bodies, so logs may expose sensitive payloads. Strings beginning with an at sign require escaping to avoid accidental file loading.

How to use it well

Use it for terminal experiments, shell automation, administrative queries, batch operations, and inspecting API responses. Choose JSON or JSONL for scripts, transformations for focused extraction, and piped YAML for structured requests. Keep credentials outside shared command history. It does not replace an SDK embedded inside application code or manage secrets for you.

Technical notes+

The module in go.mod targets Go 1.25 and depends on openai-go/v3, urfave/cli, GJSON, and Charmbracelet terminal packages. pkg/cmd/batch.go and pkg/cmd/audiospeech.go contain OpenAPI-generated command definitions backed by SDK calls, while pkg/cmd/batch_test.go and pkg/cmd/audiospeech_test.go exercise flags and piped input. internal/apiquery/encoder.go and internal/apiform/encoder.go implement reflective query and multipart serialization. internal/jsonview/explorer.go provides the interactive viewer, and internal/jsonview/terminal.go escapes terminal control characters.

Observed

License
Apache License 2.0
Primary language
Go
Installation
Homebrew tap or Go toolchain installation
Interface
Resource-based command-line client for the OpenAI REST API
Output surface
Auto, explore, JSON, JSONL, pretty, raw, and YAML formats with GJSON transforms
Repository structure
Generated command tests and multipart encoder tests are present

Read from README.md, go.mod, pkg/cmd/batch.go, pkg/cmd/batch_test.go, pkg/cmd/audiospeech.go, internal/apiform/form.go, pkg/cmd/betaassistant.go, internal/apiquery/query.go, internal/apiform/encoder.go, pkg/cmd/audiospeech_test.go, pkg/cmd/audiotranslation.go, internal/apiquery/encoder.go, internal/apiform/form_test.go, internal/jsonview/explorer.go, internal/jsonview/terminal.go.

What it can do

  • Generate text completions from prompts

    Text prompt → AI-generated text response

  • Create chat conversations with AI models

    Chat messages and conversation context → AI chat responses

  • Generate images from text descriptions

    Text description of desired image → AI-generated image file

  • Create text embeddings for semantic analysis

    Text content → Numerical vector embeddings

  • Moderate content for policy violations

    Text content to review → Content moderation results and flags

  • Fine-tune custom AI models

    Training data and model parameters → Custom fine-tuned model

  • Manage API keys and authentication

    Authentication credentials → API access configuration

Tags

openaicligollmapi

Tech Stack

Go

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