Configured OpenCode model is unavailable on the remote…

Error message

Configured OpenCode model is unavailable on the remote execution target: ${model}. Available models: ${sample}${models.length > 12 ? ", ..." : ""}

What it means

Error "Configured OpenCode model is unavailable on the remote execution target: ${model}. Available models: ${sample}${models.length > 12 ? ", ..." : ""}" thrown in paperclipai/paperclip.

Solutions

Choose one of the listed available models for adapterConfig.model.
Install or enable the configured model on the remote execution target.

When it happens

Trigger: Thrown at packages/adapters/opencode-local/src/server/execute.ts:159 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of paperclipai/paperclip@3f1d897a7c (2026-08-18). Data as JSON: /api/errors/86fbdd6904d06ac2. Report an issue: GitHub.

Appendix: source

Thrown at packages/adapters/opencode-local/src/server/execute.ts:161

    return;
  }

  if ((probe.exitCode ?? 1) !== 0) {
    const detail = firstNonEmptyLine(probe.stderr) || firstNonEmptyLine(probe.stdout);
    console.warn(
      `[opencode-local] Remote \`opencode models\` could not run for "${model}"${
        detail ? ` (${detail})` : ""
      }; proceeding with the configured model.`,
    );
    return;
  }

  const models = parseOpenCodeModelsOutput(probe.stdout);
  if (models.length === 0) {
    console.warn(
      `[opencode-local] Remote \`opencode models\` returned no models; proceeding with the configured model "${model}".`,
    );
    return;
  }

  if (!models.some((entry) => entry.id === model)) {
    const sample = models.slice(0, 12).map((entry) => entry.id).join(", ");
    throw new Error(
      `Configured OpenCode model is unavailable on the remote execution target: ${model}. Available models: ${sample}${models.length > 12 ? ", ..." : ""}`,
    );
  }
}

async function ensureOpenCodeSkillsInjected(
  onLog: AdapterExecutionContext["onLog"],
  skillsEntries: Array<{ key: string; runtimeName: string; source: string }>,
  desiredSkillNames?: string[],
  skillsHome = resolveOpenCodeSkillsHome({}),
) {
  await fs.mkdir(skillsHome, { recursive: true });
  const desiredSet = new Set(desiredSkillNames ?? skillsEntries.map((entry) => entry.key));

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