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VS Code extensions configured for custom OpenAI-compatible API endpoints

By PulseAugur Editorial · [1 sources] ·

This guide explains how to configure VS Code extensions like Continue and Windsurf (now Devin Desktop) to use custom OpenAI-compatible API endpoints. It details troubleshooting steps, emphasizing that endpoint issues are often the root cause of connection failures. The configuration involves setting the `apiBase` parameter correctly in Continue's `config.yaml` and ensuring environment variables are handled properly, as IDE extensions cannot directly read shell environment variables. For Windsurf/Devin Desktop, custom endpoints are managed through extensions rather than the application's built-in settings. AI

IMPACT Enables developers to leverage custom LLM backends within their existing IDE workflows.

RANK_REASON Guide on configuring existing tools with a new capability.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

VS Code extensions configured for custom OpenAI-compatible API endpoints

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22 / 100
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Tool
Guide on configuring existing tools with a new capability.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · APIClaw ·

    Pointing VS Code Continue and Windsurf at a custom OpenAI-compatible base URL

    <p>Pointing an editor at a custom OpenAI-compatible endpoint is documented as a settings-screen operation. In practice the settings screen is the part that fails silently, and the extension's config file is the part that decides what actually gets sent. These are the steps that h…

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