One Line to Switch AI Providers

#ai #opensource #python #programming

The Problem Every Developer Knows

You build an app with OpenAI. It works great. Then:

OpenAI raises prices 3×
Anthropic releases a better model
Your client wants to use their own provider
You need a local model for GDPR compliance

What happens? You rewrite everything. Different SDK, different request format, different response parsing, different error handling. Weeks of work for what should be a simple switch.

The Fix: One Import Line

# Today: OpenAI
from pulse_openai import OpenAIAdapter as AI
adapter = AI(api_key="sk-...")

# Tomorrow: Anthropic Claude
from pulse_anthropic import AnthropicAdapter as AI
adapter = AI(api_key="sk-ant-...")

# Everything below stays EXACTLY the same
msg = PulseMessage(
    action="ACT.ANALYZE.SENTIMENT",
    parameters={"text": "I love this product!"}
)
response = adapter.send(msg)
print(response.content["parameters"]["result"])

That's it. One line changes. The rest of your code doesn't know or care which AI is behind the curtain.

How It Works

PULSE adapters follow a simple pattern:

Your Code → PULSE Message → Adapter → Provider API → Adapter → PULSE Response

You write your logic in PULSE semantic actions. The adapter handles all the provider-specific translation:

PULSE Action	OpenAI	Anthropic
`ACT.QUERY.DATA`	chat.completions → gpt-4o-mini	messages → claude-haiku
`ACT.CREATE.TEXT`	chat.completions → gpt-4o	messages → claude-sonnet
`ACT.ANALYZE.SENTIMENT`	+ sentiment system prompt	+ sentiment system prompt
`ACT.TRANSFORM.TRANSLATE`	+ translation prompt	+ translation prompt

Same action, same parameters, same response format. Different AI underneath.

What's Available Right Now

Both packages are live on PyPI:

pip install pulse-openai     # OpenAI adapter
pip install pulse-anthropic  # Anthropic Claude adapter

Both support 6 actions out of the box:

1. ACT.QUERY.DATA — Ask questions, get answers

ACT.CREATE.TEXT — Generate text from instructions
ACT.ANALYZE.SENTIMENT — Analyze text sentiment
ACT.ANALYZE.PATTERN — Find patterns in data
ACT.TRANSFORM.TRANSLATE — Translate between languages
ACT.TRANSFORM.SUMMARIZE — Summarize long text

Real Code, Real Tests

This isn't a concept. Both adapters have full test suites:

pulse-openai: 34 tests, all passing
pulse-anthropic: 31 tests, all passing
Provider switching test: Proves both adapters support identical actions

def test_same_interface():
    """Both adapters have the same supported actions."""
    openai = OpenAIAdapter(api_key="sk-test")
    anthropic = AnthropicAdapter(api_key="sk-ant-test")
    assert set(openai.supported_actions) == set(anthropic.supported_actions)

This test is in the actual codebase. Not documentation. Not a promise. Running code.

Why This Matters for Your Business

Cost optimization: Route cheap queries to Haiku, complex ones to GPT-4o. Switch when prices change.

Risk mitigation: If one provider has an outage, switch to another. No code rewrite. No emergency deployment.

Compliance: Need to keep data in Europe? Swap to a local model adapter. Same code.

Future-proofing: The next great model could come from Google, Meta, Mistral, or a startup that doesn't exist yet. With PULSE adapters, you'll be ready.

What's Next

We're building more adapters: