Skip to main content
Glama

show_job

Retrieve detailed information about a specific fine-tuning job, including status, model details, GPU usage, costs, error messages, and retry capability from checkpoint.

Instructions

Get full details of a specific fine-tuning job including status, base model, agent type, GPU minutes, cost, error messages, and whether it can be retried from checkpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob ID (UUID)

Implementation Reference

  • Handler for the show_job tool call in src/mcp.ts, which delegates to the client.getJob method.
    case "show_job":
      result = await client.getJob(args!.job_id as string);
      break;
  • Implementation of getJob in TuningEnginesClient which performs the actual API request.
    async getJob(jobId: string): Promise<any> {
      return this.request("GET", `/api/v1/jobs/${jobId}`);
    }
  • src/mcp.ts:61-72 (registration)
    Registration of the show_job tool in the MCP server setup.
    {
      name: "show_job",
      description:
        "Get full details of a specific fine-tuning job including status, base model, agent type, GPU minutes, cost, error messages, and whether it can be retried from checkpoint.",
      inputSchema: {
        type: "object" as const,
        properties: {
          job_id: { type: "string", description: "Job ID (UUID)" },
        },
        required: ["job_id"],
      },
    },

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cerebrixos-org/tuning-engines-cli'

If you have feedback or need assistance with the MCP directory API, please join our Discord server