Models · Launch wave B

Connect an OpenAI-Compatible Endpoint to DeepSeek Harness

DeepSeek Harness can target a compatible proxy by configuring its base URL, credential and model route. Compatibility means protocol behavior, not merely a URL ending in /v1, so test a simple model request before enabling agent tools. This page separates verified behavior from community reports and marks the release-candidate context so you can act without mistaking an observation for a permanent guarantee.

Verified Aug 14, 2026Developer previewIndependent guide
Evidence status: Official provider and Python SDK docs. Re-check the linked first-party source after a new release candidate.

What is verified now

DeepSeek Harness can target a compatible proxy by configuring its base URL, credential and model route. Compatibility means protocol behavior, not merely a URL ending in /v1, so test a simple model request before enabling agent tools.

Evidence basis: Official provider and Python SDK docs. The status was checked on 14 August 2026; re-check the linked source after any dsh release.

Safe workflow

Use the smallest reversible workflow first. Do not add community plugins or paste credentials while validating the base behavior.

  1. Validate the provider base URL and credential source.
  2. Select an exact model identifier exposed by that route.
  3. Send a minimal request before enabling tools or plugins.

Verify before moving on

A successful result should be observable: a version string, reachable local URL, valid provider response, loaded configuration, or disappearance of the exact error. If the result differs, stop and capture sanitized evidence rather than stacking unrelated fixes.

  1. Record the exact dsh, Node or Python version.
  2. State the operating system and installation method.
  3. Link the first-party source and include only sanitized logs.

First-party sources

Open the original source before acting on a changed version or unresolved community report.

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