ruvnet/ruflo · error

Ollama server not detected. Ensure Ollama is running locally

Error message

Ollama server not detected. Ensure Ollama is running locally.

What it means

Warning in OllamaProvider.doInitialize(): the health check against the local Ollama server (default http://localhost:11434) failed, so no Ollama daemon was detected. The provider initializes anyway but subsequent generation calls will fail until Ollama is started.

Source

Thrown at v3/@claude-flow/providers/src/ollama-provider.ts:134

      'codellama': { promptCostPer1k: 0, completionCostPer1k: 0, currency: 'USD' },
      'phi-4': { promptCostPer1k: 0, completionCostPer1k: 0, currency: 'USD' },
      'deepseek-coder': { promptCostPer1k: 0, completionCostPer1k: 0, currency: 'USD' },
    },
  };

  private baseUrl: string = 'http://localhost:11434';

  constructor(options: BaseProviderOptions) {
    super(options);
  }

  protected async doInitialize(): Promise<void> {
    this.baseUrl = this.config.apiUrl || 'http://localhost:11434';

    // Check if Ollama is running
    const health = await this.doHealthCheck();
    if (!health.healthy) {
      this.logger.warn('Ollama server not detected. Ensure Ollama is running locally.');
    }
  }

  protected async doComplete(request: LLMRequest): Promise<LLMResponse> {
    const ollamaRequest = this.buildRequest(request);

    const controller = new AbortController();
    const timeout = setTimeout(() => controller.abort(), this.config.timeout || 120000);

    try {
      const response = await fetch(`${this.baseUrl}/api/chat`, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(ollamaRequest),
        signal: controller.signal,
      });

      clearTimeout(timeout);

View on GitHub (pinned to fa13ee4ad6)

Solutions

1. Start the Ollama server locally (ollama serve) and ensure its port is reachable.

When it happens

Trigger: Thrown at v3/@claude-flow/providers/src/ollama-provider.ts:134 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of ruvnet/ruflo@fa13ee4ad6 (2026-08-18). Data as JSON: /api/errors/7f53f1cd77ce2534. Report an issue: GitHub.