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Windows Copilot API

Developer ToolsFree

Windows Copilot API for local OpenAI-compatible Copilot access

Last updated Jun 24, 2026

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What is Windows Copilot API?

Windows Copilot API is a focused AI builder tool for developers who want a local OpenAI-compatible endpoint backed by a signed-in Microsoft Copilot session. It is not a generic chatbot or a broad workflow suite. The project solves one practical problem for people who already build with AI systems and need a utility they can run, inspect, and adapt. That makes it a better fit for technical users than for non-technical teams looking for a managed SaaS product. The workflow is direct. Install the Python requirements, sign in with a Microsoft account through Playwright, then call the Python client or run the localhost /v1 server. Existing OpenAI-compatible apps can point at the local endpoint for experiments.. A builder can read the README, clone the repository, and test the tool in a local environment before connecting it to daily work. That local-first path matters because AI development tools often touch credentials, sessions, prompts, terminal output, or source code. The best evaluation is hands-on: run it against a safe project, check what it stores, and confirm that the behavior matches your security rules. The strongest parts are the Python client, the OpenAI-compatible localhost server, streaming output, multi-turn conversation IDs, and optional Docker workflow. Those features reduce friction in common AI-building loops: testing model-powered utilities, keeping context visible, monitoring external signal, or giving coding agents better local context. The project is also open source, so advanced users can review implementation details instead of relying only on marketing copy. Pricing is simple from the public source material. The repository itself is available on GitHub and does not advertise a paid hosted plan. Users should still consider indirect costs: upstream AI accounts, Microsoft or Anthropic access, messaging tools, compute, or any private infrastructure they connect. If a team needs support guarantees, audit logs, or managed uptime, this project should be treated as a prototype-grade or builder-grade component until those needs are verified separately. The main limitation is that it is unofficial and not endorsed by Microsoft. It automates the consumer Copilot web experience, so builders should review Microsoft terms and avoid making it a critical production dependency. The safe recommendation is to start with a narrow test, document the exact version used, and keep a fallback path in case upstream services or APIs change. For OpenTools readers, the main value is speed: it gives builders a concrete way to improve an AI workflow without waiting for a large platform rollout.

Windows Copilot API's Top Features

Key capabilities that make Windows Copilot API stand out.

Python client for Copilot chat calls

Local OpenAI-compatible /v1 API server

Streaming and multi-turn conversation support

One-time browser sign-in with saved session refresh

Optional Docker Compose workflow

Use Cases

Who benefits most from this tool.

Prototype builders

Test OpenAI-compatible apps locally against a Copilot-backed endpoint before wiring paid API keys.

Python developers

Call Microsoft Copilot from scripts through a simple Python interface with streaming support.

Tool hackers

Study an unofficial browser-session integration pattern for personal AI utilities.

Explore Top AI Use Cases

Tags

copilotopenai-compatibleapi-gatewaypythondeveloper-toolsllm-apilocal-apiplaywrightstreamingmicrosoft-copilot

Windows Copilot API's Pricing

Free plan available

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Frequently Asked Questions

Is Windows Copilot API official?
No. The README states that it is unofficial and not affiliated with or endorsed by Microsoft.
What does it expose?
It can be used as a Python library or as a local OpenAI-compatible server at a /v1 endpoint.
Does it require an API key?
The project uses a signed-in Microsoft Copilot account rather than a separate API key, according to the README.
Is it safe for production?
Treat it as a personal or experimental developer tool because it depends on the consumer Copilot web experience.

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