{
  "opencollection": "1.0.0",
  "info": {
    "name": "Sambanova Agents Service Audio Subagents Interactive API",
    "version": "0.0.1"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Subagents Interactive",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Coding Agent Interactive",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://chat.sambanova.ai/api/agent/coding/interactive",
            "body": {
              "type": "json",
              "data": "{}"
            },
            "auth": {
              "type": "bearer",
              "token": "{{bearerToken}}"
            }
          },
          "docs": "The coding agent executes Python code in a sandboxed environment, fixes errors, and returns results. This interactive endpoint supports multi-turn conversations for iterative code development.\n\nStep 1: Submit code with prompt, get thread_id and execution result.\nStep 2: Continue with thread_id and resume=true to iterate on code.\n"
        },
        {
          "info": {
            "name": "Datascience Interactive",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://chat.sambanova.ai/api/agent/datascience/interactive",
            "body": {
              "type": "multipart-form",
              "data": []
            },
            "auth": {
              "type": "bearer",
              "token": "{{bearerToken}}"
            }
          },
          "docs": "The data science agent analyzes datasets, generates visualizations, and produces comprehensive reports. This interactive endpoint uses a two-step workflow:\n\n1. Submit a prompt and files to receive a thread_id and hypothesis for approval\n2. Submit a prompt with thread_id, file_ids_json, and resume=true to generate the final report\n"
        },
        {
          "info": {
            "name": "Deepresearch Interactive Agent",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://chat.sambanova.ai/api/agent/deepresearch/interactive",
            "body": {
              "type": "json",
              "data": "{}"
            },
            "auth": {
              "type": "bearer",
              "token": "{{bearerToken}}"
            }
          },
          "docs": "Two-step interactive deep research API:\nStep 1: Submit prompt, get thread_id and research plan for approval.\nStep 2: Submit prompt with thread_id and resume=true to get the final report."
        },
        {
          "info": {
            "name": "Financial Analysis Agent Interactive",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://chat.sambanova.ai/api/agent/financialanalysis/interactive",
            "body": {
              "type": "json",
              "data": "{}"
            },
            "auth": {
              "type": "bearer",
              "token": "{{bearerToken}}"
            }
          },
          "docs": "The financial analysis agent analyzes stocks, companies, and market data. This interactive endpoint uses a two-step workflow:\n\n1. Submit a prompt to receive a thread_id and initial analysis\n2. Continue with thread_id and resume=true for follow-up questions\n"
        }
      ]
    }
  ],
  "bundled": true
}