mirror of
https://github.com/meta-llama/llama-stack.git
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39 lines
2.6 KiB
JSON
39 lines
2.6 KiB
JSON
{
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"request": {
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"method": "POST",
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"url": "http://localhost:11434/api/generate",
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"headers": {},
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"body": {
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"model": "llama3.2:3b-instruct-fp16",
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"raw": true,
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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_weather\",\n \"description\": \"Get the current weather\",\n \"parameters\": {\n \"type\": \"dict\",\n \"required\": [\"location\"],\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The city and state (both required), e.g. San Francisco, CA.\"\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.\nPretend you are a weather assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat's the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
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"options": {
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"temperature": 0.0
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},
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"stream": false
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},
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"endpoint": "/api/generate",
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"model": "llama3.2:3b-instruct-fp16"
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},
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"response": {
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"body": {
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"__type__": "ollama._types.GenerateResponse",
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"__data__": {
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"model": "llama3.2:3b-instruct-fp16",
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"created_at": "2025-08-01T20:56:51.035807Z",
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"done": true,
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"done_reason": "stop",
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"total_duration": 1044135792,
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"load_duration": 50873709,
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"prompt_eval_count": 324,
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"prompt_eval_duration": 511000000,
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"eval_count": 11,
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"eval_duration": 481000000,
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"response": "[get_weather(location=\"San Francisco, CA\")]",
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"thinking": null,
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"context": null
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}
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},
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"is_streaming": false
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}
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}
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