reminix-openai 0.0.3

Reminix adapter for OpenAI - serve agents as REST APIs

reminix-openai

Reminix Runtime adapter for the OpenAI API. Serve OpenAI models as a REST API.

Ready to go live? Deploy to Reminix for zero-config hosting, or self-host on your own infrastructure.

Installation

pip install reminix-openai

This will also install reminix-runtime as a dependency.

Quick Start

from openai import AsyncOpenAI
from reminix_openai import wrap_and_serve

client = AsyncOpenAI()
wrap_and_serve(client, name="my-chatbot", model="gpt-4o", port=8080)

For more flexibility (e.g., serving multiple agents), use wrap and serve separately:

from openai import AsyncOpenAI
from reminix_openai import wrap
from reminix_runtime import serve

client = AsyncOpenAI()
agent = wrap(client, name="my-chatbot", model="gpt-4o")
serve([agent], port=8080)

Your agent is now available at:

• POST /agents/my-chatbot/invoke - Stateless invocation
• POST /agents/my-chatbot/chat - Conversational chat

API Reference

wrap_and_serve(client, name, model, port, host)

Wrap an OpenAI client and serve it immediately. Combines wrap and serve for single-agent setups.

Parameter	Type	Default	Description
client	AsyncOpenAI	required	An OpenAI async client
name	str	"openai-agent"	Name for the agent (used in URL path)
model	str	"gpt-4o-mini"	Model to use for completions
port	int	8080	Port to serve on
host	str	"0.0.0.0"	Host to bind to

wrap(client, name, model)

Wrap an OpenAI client for use with Reminix Runtime. Use this with serve from reminix_runtime for multi-agent setups.

Parameter	Type	Default	Description
client	AsyncOpenAI	required	An OpenAI async client
name	str	"openai-agent"	Name for the agent (used in URL path)
model	str	"gpt-4o-mini"	Model to use for completions

Returns: OpenAIAdapter - A Reminix adapter instance

Example with Custom Configuration

from openai import AsyncOpenAI
from reminix_openai import wrap
from reminix_runtime import serve

client = AsyncOpenAI(
    api_key="your-api-key",
    base_url="https://your-proxy.com/v1"  # Optional: custom endpoint
)

agent = wrap(
    client,
    name="gpt4-agent",
    model="gpt-4o"
)

serve([agent], port=8080)

Endpoint Input/Output Formats

POST /agents/{name}/invoke

Stateless invocation for task-oriented operations.

Request:

{
  "input": {
    "prompt": "Summarize this text: ..."
  }
}

Or with messages:

{
  "input": {
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Hello!"}
    ]
  }
}

Response:

{
  "output": "Hello! How can I help you today?"
}

POST /agents/{name}/chat

Conversational chat with message history.

Request:

{
  "messages": [
    {"role": "user", "content": "What is the capital of France?"}
  ]
}

Response:

{
  "output": "The capital of France is Paris.",
  "messages": [
    {"role": "user", "content": "What is the capital of France?"},
    {"role": "assistant", "content": "The capital of France is Paris."}
  ]
}

Runtime Documentation

For information about the server, endpoints, request/response formats, and more, see the reminix-runtime package.

Deployment

Ready to go live?

• Deploy to Reminix - Zero-config cloud hosting
• Self-host - Run on your own infrastructure

Links

• GitHub Repository
• OpenAI Documentation

License

Apache-2.0