openai-rest-cli 0.1.3

A full-coverage CLI for the OpenAI REST API

openai-rest-cli

A full-coverage CLI for the OpenAI REST API. Every endpoint — chat, completions, embeddings, images, moderations, audio, files, vector stores, assistants, batch, fine-tuning, realtime, responses, uploads — exposed as a typed command. Generated from OpenAI's official OpenAPI spec.

Built using openapi-cli-gen.

Why

The official openai Python SDK dropped its CLI in v1.0.0 (Nov 2023). Existing community CLIs are mostly chat-REPL tools (shell-gpt, llm, aichat) that focus on "ask GPT a question" and intentionally skip admin/scripting endpoints like Batch, Vector Stores, Files, Fine-tuning, and Usage.

This one is different: every endpoint in the OpenAPI spec is a command, with typed flags auto-generated from the spec. When OpenAI updates the spec, a regeneration gets you the new endpoints.

Think kubectl for OpenAI, not another chat REPL.

Install

pipx install openai-rest-cli

# Or with uv
uv tool install openai-rest-cli

Setup

export OPENAI_REST_CLI_TOKEN=sk-...  # your OpenAI API key

Quick Start

All commands below have been verified against the live OpenAI API.

# List all models
openai-rest-cli models list

# Get a specific model
openai-rest-cli models retrieve --model gpt-4o-mini

# Chat completion (GPT-4o-mini)
openai-rest-cli chat create-completion \
  --model gpt-4o-mini \
  --messages '[{"role":"user","content":"Reply in 3 words"}]'

# Generate an embedding
openai-rest-cli embeddings create \
  --input "Hello world" \
  --model text-embedding-3-small \
  --dimensions 4

# Classify content (moderation)
openai-rest-cli moderations create --input "I love puppies"

# Generate an image (DALL-E 2)
openai-rest-cli images create \
  --prompt "A cat coding on a laptop" \
  --model dall-e-2 \
  --size 256x256

# List files
openai-rest-cli files list

# Vector stores
openai-rest-cli vector-stores list-vector-stores
openai-rest-cli vector-stores create-vector-store --name my_store

# Batch operations
openai-rest-cli batch list-batches --limit 10

# Legacy text completion (GPT-3.5-turbo-instruct)
openai-rest-cli completions create \
  --model gpt-3.5-turbo-instruct \
  --prompt "Python is" \
  --max-tokens 30

What's Covered

Group	Example commands
chat	create-completion, list-completions, get-completion
completions (legacy)	create
embeddings	create
images	create (DALL-E), create-edit, create-variation
audio	create-speech, create-transcription, create-translation
moderations	create
models	list, retrieve, delete
files	create, list, retrieve, delete, download
vector-stores	Full CRUD + file attach/detach/search
assistants	Full lifecycle (threads, messages, runs, run steps)
batch	create, retrieve, cancel, list-batches
fine-tuning	Jobs, events, checkpoints, checkpoint permissions
uploads	Multi-part file uploads
responses	Create, delete, get (Responses API)
realtime	Create realtime sessions, transcription sessions
usage	Usage aggregates per endpoint + cost reports
audit-logs	Organization audit logs
projects	Project/rate-limit/service-account/user management
users	User admin
invites	Invite admin

Output Formats

openai-rest-cli models list --output-format json    # default
openai-rest-cli models list --output-format table   # rich table
openai-rest-cli models list --output-format yaml
openai-rest-cli models list --output-format raw

Discovery

# Top-level groups
openai-rest-cli --help

# Commands in a group
openai-rest-cli chat --help

# Flags for a specific command
openai-rest-cli images create --help
# Shows: --prompt, --model, --size {256x256,512x512,...}, --quality {standard,hd}, etc.

Real Example Session

$ openai-rest-cli embeddings create --input "Hello" --model text-embedding-3-small --dimensions 4
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [-0.087, -0.041, 0.115, -0.205],
      "index": 0
    }
  ],
  "model": "text-embedding-3-small",
  "usage": {
    "prompt_tokens": 1,
    "total_tokens": 1
  }
}

$ openai-rest-cli chat create-completion \
  --model gpt-4o-mini \
  --messages '[{"role":"user","content":"Reply in 3 words"}]'
{
  "id": "chatcmpl-...",
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sure, what's up?"
      }
    }
  ],
  "usage": { "prompt_tokens": 13, "completion_tokens": 5 }
}

$ openai-rest-cli images create --prompt "A cat coding" --model dall-e-2 --size 256x256
{
  "created": 1775806667,
  "data": [
    { "url": "https://oaidalleapiprodscus.blob.core.windows.net/..." }
  ]
}

How It Works

This package is a thin wrapper:

• Embeds the OpenAI OpenAPI spec (spec.yaml)
• Delegates CLI generation to openapi-cli-gen at runtime
• Base URL defaults to https://api.openai.com/v1

Since it's spec-driven, adding new endpoints is just a regeneration. No manual wrapping to fall behind.

Limitations

• Complex oneOf/anyOf bodies: Some endpoints with deeply nested unions (e.g., Assistants message content with mixed types) require passing JSON via --root instead of individual flags.
• Assistants API: Requires OpenAI-Beta: assistants=v2 header, which openapi-cli-gen doesn't currently send by default. You can work around by using the SDK for Assistants.
• Streaming: Not supported. For streaming chat, use the SDK directly.

Not Affiliated

This is an unofficial community CLI built on top of OpenAI's public OpenAPI spec. It is not endorsed by or affiliated with OpenAI. The openai package on PyPI is the official SDK.

License

MIT