{
  "request": {
    "method": "POST",
    "url": "http://localhost:11434/api/generate",
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      "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant. You have access to functions, but you should only use them if they are required.\nYou are an expert in composing functions. You are given a question and a set of possible functions.\nBased on the question, you may or may not need to make one function/tool call to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]\nIf you decide to invoke a function, you SHOULD NOT include any other text in the response. besides the function call in the above format.\nFor a boolean parameter, be sure to use `True` or `False` (capitalized) for the value.\n\n\nHere is a list of functions in JSON format that you can invoke.\n\n[\n    {\n        \"name\": \"get_object_namespace_list\",\n        \"description\": \"Get the list of objects in a namespace\",\n        \"parameters\": {\n            \"type\": \"dict\",\n            \"required\": [\"kind\", \"namespace\"],\n            \"properties\": {\n                \"kind\": {\n                    \"type\": \"string\",\n                    \"description\": \"the type of object\"\n                },\n                \"namespace\": {\n                    \"type\": \"string\",\n                    \"description\": \"the name of the namespace\"\n                }\n            }\n        }\n    }\n]\n\nYou can answer general questions or invoke tools when necessary.\nIn addition to tool calls, you should also augment your responses by using the tool outputs.\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat pods are in the namespace openshift-lightspeed?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n[get_object_namespace_list(kind=\"pod\", namespace=\"openshift-lightspeed\")]<|eot_id|><|start_header_id|>ipython<|end_header_id|>\n\nthe objects are pod1, pod2, pod3<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
      "options": {
        "temperature": 0.0
      },
      "stream": true
    },
    "endpoint": "/api/generate",
    "model": "llama3.2:3b-instruct-fp16"
  },
  "response": {
    "body": [
      {
        "__type__": "ollama._types.GenerateResponse",
        "__data__": {
          "model": "llama3.2:3b-instruct-fp16",
          "created_at": "2025-08-04T22:55:41.559883Z",
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          "prompt_eval_duration": null,
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          "response": "[]",
          "thinking": null,
          "context": null
        }
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      {
        "__type__": "ollama._types.GenerateResponse",
        "__data__": {
          "model": "llama3.2:3b-instruct-fp16",
          "created_at": "2025-08-04T22:55:41.619829Z",
          "done": true,
          "done_reason": "stop",
          "total_duration": 915493834,
          "load_duration": 167838417,
          "prompt_eval_count": 386,
          "prompt_eval_duration": 683000000,
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}