{"id":21670,"date":"2025-04-19T04:56:56","date_gmt":"2025-04-18T20:56:56","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/21670.html"},"modified":"2025-04-19T04:56:56","modified_gmt":"2025-04-18T20:56:56","slug":"%e7%94%a8curl%e5%92%8cpython%e9%80%9a%e8%bf%87%e7%bd%91%e7%bb%9c%e6%b5%8b%e8%af%95ollama%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%9a%84%e9%85%8d%e7%bd%ae%e5%92%8c%e7%8a%b6%e6%80%81","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/21670.html","title":{"rendered":"\u7528curl\u548cpython\u901a\u8fc7\u7f51\u7edc\u6d4b\u8bd5Ollama\u670d\u52a1\u5668\u7684\u914d\u7f6e\u548c\u72b6\u6001"},"content":{"rendered":"

\u5f53\u4e00\u4e2aOllama\u670d\u52a1\u5668\u521b\u5efa\u597d\u540e，\u9664\u4e86\u7528ollama\u6307\u4ee4\u6765\u6d4b\u8bd5，\u8fd8\u53ef\u4ee5\u4f7f\u7528curl\u548cpython\u6765\u901a\u8fc7\u7f51\u7edc\u6d4b\u8bd5Ollama\u7684\u914d\u7f6e\u662f\u5426\u6b63\u786e，\u8fdc\u7a0b\u662f\u5426\u80fd\u6b63\u5e38\u8fde\u4e0a\u5e76\u4e0e\u670d\u52a1\u5668\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n

\u76ee\u5f55<\/p>\n

\u542f\u52a8Ollama\u670d\u52a1\u5668<\/p>\n

\u4e0b\u8f7d\u6a21\u578b<\/p>\n

curl\u6d4b\u8bd5<\/p>\n

\u68c0\u67e5\u670d\u52a1\u5668\u72b6\u6001<\/p>\n

\u5217\u51fa\u5df2\u5b89\u88c5\u7684\u6a21\u578b<\/p>\n

\u8c03\u7528deepseek-r1:1.5b\u6a21\u578b\u6d4b\u8bd5<\/p>\n

\u67e5\u770b\u662f\u5426\u652f\u6301\u5de5\u5177\u8c03\u7528<\/p>\n

\n

\u00a0API\u6d4b\u8bd5<\/p>\n

\u751f\u6210\u6587\u672c<\/p>\n

\u00a0\u83b7\u53d6\u6a21\u578b\u5217\u8868<\/p>\n

\u663e\u793a\u6a21\u578b\u4fe1\u606f<\/p>\n

\u68c0\u9a8c\u6a21\u578b\u662f\u5426\u652f\u6301MCP<\/p>\n

\n

\u542f\u52a8Ollama\u670d\u52a1\u5668<\/h2>\n

\u542f\u52a8\u670d\u52a1\u5668\u4e00\u822c\u4f7f\u7528\u547d\u4ee4：Ollama serve<\/p>\n

\u4e00\u822cOllama\u90fd\u8bbe\u7f6e\u4e3a\u5f00\u673a\u5373\u542f\u52a8\u670d\u52a1，\u4e0d\u7528\u518d\u624b\u5de5\u542f\u52a8\u670d\u52a1<\/p>\n

\u4e0b\u8f7d\u6a21\u578b<\/h3>\n

\u5982\u679c\u6ca1\u6709\u4e0b\u8f7d\u6a21\u578b，\u7528\u8fd9\u6761\u547d\u4ee4<\/p>\n

ollama pull deepseek-r1:1.5b<\/p>\n

curl\u6d4b\u8bd5<\/h2>\n

\u68c0\u67e5\u670d\u52a1\u5668\u72b6\u6001<\/h3>\n

curl http:\/\/localhost:11434<\/p>\n

\u8f93\u51fa：Ollama is running<\/p>\n

\u5217\u51fa\u5df2\u5b89\u88c5\u7684\u6a21\u578b<\/h3>\n

curl http:\/\/localhost:11434\/api\/tags<\/p>\n

\u8f93\u51fa<\/p>\n

{"models":[{"name":"deepseek-r1:14b","model":"deepseek-r1:14b","modified_at":"2025-02-25T12:33:39.9452166+08:00","size":8988112040,"digest":"ea35dfe18182f635ee2b214ea30b7520fe1ada68da018f8b395b444b662d4f1a","details":{"parent_model":"","format":"gguf","family":"qwen2","families":["qwen2"],"parameter_size":"14.8B","quantization_level":"Q4_K_M"}},{"name":"test:latest","model":"test:latest","modified_at":"2025-02-25T09:54:20.5132579+08:00","size":91739413,"digest":"b0b2a46174385c0adcaa77ff245ffeced5fc4a61447b6f221b2beb5c5a760133","details":{"parent_model":"","format":"gguf","family":"llama","families":["llama"],"parameter_size":"134.52M","quantization_level":"Q4_0"}},{"name":"deepseek-r1:7b","model":"deepseek-r1:7b","modified_at":"2025-02-25T09:01:47.6178023+08:00","size":4683075271,"digest":"0a8c266910232fd3291e71e5ba1e058cc5af9d411192cf88b6d30e92b6e73163","details":{"parent_model":"","format":"gguf","family":"qwen2","families":["qwen2"],"parameter_size":"7.6B","quantization_level":"Q4_K_M"}},{"name":"smollm:135m","model":"smollm:135m","modified_at":"2025-02-20T15:48:18.8525987+08:00","size":91739413,"digest":"b0b2a46174385c0adcaa77ff245ffeced5fc4a61447b6f221b2beb5c5a760133","details":{"parent_model":"","format":"gguf","family":"llama","families":["llama"],"parameter_size":"134.52M","quantization_level":"Q4_0"}},{"name":"snowflake-arctic-embed2:latest","model":"snowflake-arctic-embed2:latest","modified_at":"2025-02-13T22:47:06.1934237+08:00","size":1160296718,"digest":"5de93a84837d0ff00da872e90830df5d973f616cbf1e5c198731ab19dd7b776b","details":{"parent_model":"","format":"gguf","family":"bert","families":["bert"],"parameter_size":"566.70M","quantization_level":"F16"}},{"name":"deepseek-r1:8b","model":"deepseek-r1:8b","modified_at":"2025-02-13T09:09:39.7652506+08:00","size":4920738407,"digest":"28f8fd6cdc677661426adab9338ce3c013d7e69a5bea9e704b364171a5d61a10","details":{"parent_model":"","format":"gguf","family":"llama","families":["llama"],"parameter_size":"8.0B","quantization_level":"Q4_K_M"}},{"name":"EntropyYue\/chatglm3:latest","model":"EntropyYue\/chatglm3:latest","modified_at":"2025-02-08T09:24:07.2296428+08:00","size":3583423760,"digest":"8f6f34227356b30a94c02b65ab33e2e13b8687a05e0f0ddfce4c75e36c965e25","details":{"parent_model":"","format":"gguf","family":"chatglm","families":["chatglm"],"parameter_size":"6.2B","quantization_level":"Q4_0"}},{"name":"nomic-embed-text:latest","model":"nomic-embed-text:latest","modified_at":"2025-02-07T19:57:28.4688464+08:00","size":274302450,"digest":"0a109f422b47e3a30ba2b10eca18548e944e8a23073ee3f3e947efcf3c45e59f","details":{"parent_model":"","format":"gguf","family":"nomic-bert","families":["nomic-bert"],"parameter_size":"137M","quantization_level":"F16"}},{"name":"llama3.2:latest","model":"llama3.2:latest","modified_at":"2025-02-07T19:55:39.7382597+08:00","size":2019393189,"digest":"a80c4f17acd55265feec403c7aef86be0c25983ab279d83f3bcd3abbcb5b8b72","details":{"parent_model":"","format":"gguf","family":"llama","families":["llama"],"parameter_size":"3.2B","quantization_level":"Q4_K_M"}},{"name":"deepseek-r1:1.5b","model":"deepseek-r1:1.5b","modified_at":"2025-02-02T21:38:01.4217684+08:00","size":1117322599,"digest":"a42b25d8c10a841bd24724309898ae851466696a7d7f3a0a408b895538ccbc96","details":{"parent_model":"","format":"gguf","family":"qwen2","families":["qwen2"],"parameter_size":"1.8B","quantization_level":"Q4_K_M"}}]} <\/p>\n

\u00a0\u53ef\u4ee5\u770b\u5230deepseek-r1\u768414b\u30017b\u4ee5\u53ca1.5b\u6a21\u578b\u90fd\u5728\u3002<\/p>\n

\u8c03\u7528deepseek-r1:1.5b\u6a21\u578b\u6d4b\u8bd5<\/h3>\n

# linux
\ncurl -X POST http:\/\/localhost:11434\/api\/generate \\\\
\n -H "Content-Type: application\/json" \\\\
\n -d '{
\n "model": "deepseek-r1:1.5b",
\n "prompt": "hello",
\n "stream": true
\n }'
\n# Windows \u5355\u884c\u6d41\u8f93\u51fa
\ncurl -X POST http:\/\/localhost:11434\/api\/generate -H "Content-Type: application\/json" -d "{ \\\\"model\\\\": \\\\"deepseek-r1:1.5b\\\\", \\\\"prompt\\\\": \\\\"hello\\\\", \\\\"stream\\\\": true }"<\/p>\n

# Windows \u591a\u884c\u6d41\u8f93\u51fa
\ncurl -X POST http:\/\/localhost:11434\/api\/generate ^
\n -H "Content-Type: application\/json" ^
\n -d "{\\\\"model\\\\": \\\\"deepseek-r1:1.5b\\\\", \\\\"prompt\\\\": \\\\"hello\\\\", \\\\"stream\\\\": true }"<\/p>\n

# Windows \u591a\u884c\u975e\u6d41\u8f93\u51fa
\ncurl -X POST http:\/\/localhost:11434\/api\/generate ^
\n -H "Content-Type: application\/json" ^
\n -d "{\\\\"model\\\\": \\\\"deepseek-r1:1.5b\\\\", \\\\"prompt\\\\": \\\\"hello\\\\", \\\\"stream\\\\": false}"<\/p>\n

\u5982\u679c\u80fd\u8f93\u51fa\u7c7b\u4f3cHello! How can I assist you today?\u8fd9\u6837\u7684\u56de\u7b54，\u5c31\u8bc1\u660eollama\u7684\u8c03\u7528\u6b63\u5e38\u3002<\/p>\n

\u67e5\u770b\u662f\u5426\u652f\u6301\u5de5\u5177\u8c03\u7528<\/h3>\n

windows\u4e0b\u7684\u6307\u4ee4：<\/p>\n

curl http:\/\/localhost:11434\/api\/generate -d "{\\\\"model\\\\": \\\\"deepseek-r1:1.5b\\\\",\\\\"prompt\\\\": \\\\"\u7528 JSON \u683c\u5f0f\u56de\u7b54，\u5305\u542b\u5317\u4eac\u5f53\u524d\u6e29\u5ea6\\\\",\\\\"format\\\\": \\\\"json\\\\", \\\\"stream\\\\":false}" <\/p>\n

\u00a0\u56de\u7b54\u91cc\u6709\u5982\u4e0b\u4fe1\u606f，\u8bc1\u660e\u4e00\u5207\u6b63\u5e38：<\/p>\n

"response":"{\\\\"temperature\\\\": \\\\"10\u00b0C\\\\"}"<\/p>\n

\u5982\u679c\u65e0\u6cd5\u8f93\u51fa\u7ed3\u6784\u5316 JSON，\u5219\u786e\u8ba4\u6a21\u578b\u4e0d\u652f\u6301\u5de5\u5177\u8c03\u7528\u3002<\/p>\n<\/p>\n

\u5f53\u7136，\u652f\u6301\u5de5\u5177\u8c03\u7528\u548c\u652f\u6301MCP\u662f\u4e24\u56de\u4e8b\u3002\u5f53\u524d\u6211\u4eec\u7684\u5de5\u4f5c\u91cd\u5fc3\u662fMCP\u3002<\/p>\n

\u5f53\u524d\u8bd5\u51fa\u6765\u652f\u6301MCP\u7684\u662fDeepSeek-v3\u548c<\/p>\n

<\/h3>\n

\u00a0API\u6d4b\u8bd5<\/h2>\n

\u5e38\u7528\u7684AI\u96c6\u6210\u8f6f\u4ef6，\u6bd4\u5982Cherry Studio\u30015ire \u7b49，\u90fd\u662f\u901a\u8fc7python api\u6765\u8c03\u7528AI\u5927\u6a21\u578b\u7684，\u6240\u4ee5\u8fd8\u9700\u8981\u6d4b\u8bd5API\u8c03\u7528\u3002<\/p>\n

\u751f\u6210\u6587\u672c<\/h3>\n

import requests
\nimport json<\/p>\n

url_generate = "http:\/\/localhost:11434\/api\/generate"<\/p>\n

data = {
\n "model": "deepseek-r1:1.5b", # \u66ff\u6362\u4e3a\u4f60\u4f7f\u7528\u7684\u6a21\u578b\u540d\u79f0
\n "prompt": "hello",
\n "stream": False
\n}<\/p>\n

response = requests.post(url_generate, json=data)
\nresponse_dict = response.json()<\/p>\n

print("\u751f\u6210\u7684\u6587\u672c:", response_dict.get("response"))<\/p>\n

\u8f93\u51fa：Hello! How can I assist you today?<\/p>\n

\u5176\u5b9e\u53ea\u8981\u8fd9\u53e5\u6d4b\u8bd5\u901a\u8fc7，\u5c31\u8bc1\u660eOllama\u670d\u52a1\u5668\u4e00\u5207\u6b63\u5e38，\u5e76\u4e14\u53ef\u4ee5\u672c\u5730API\u8c03\u7528\u3002<\/p>\n<\/p>\n

\u00a0\u83b7\u53d6\u6a21\u578b\u5217\u8868<\/h3>\n

url_list = "http:\/\/localhost:11434\/api\/tags"<\/p>\n

response = requests.get(url_list)
\nresponse_dict = response.json()<\/p>\n

print("\u53ef\u7528\u6a21\u578b\u5217\u8868:")
\nfor model in response_dict.get("models", []):
\n print(model["name"])<\/p>\n

\u8f93\u51fa：<\/p>\n

deepseek-r1:14b test:latest deepseek-r1:7b smollm:135m snowflake-arctic-embed2:latest deepseek-r1:8b EntropyYue\/chatglm3:latest nomic-embed-text:latest llama3.2:latest deepseek-r1:1.5b<\/p>\n

\u00a0\u5728\u5f88\u591aAI\u8f6f\u4ef6\u4e2d，\u914d\u7f6e\u6a21\u578b\u90e8\u5206，\u5c31\u662f\u5728\u8bbe\u7f6ebase_url\u548ckey\u4e4b\u540e，\u8c03\u7528\u8fd9\u4e2aurl：http:\/\/localhost:11434\/api\/tags\u00a0\u6765\u83b7\u53d6\u6a21\u578b\u5217\u8868，\u5e76\u8ba9\u7528\u6237\u9009\u62e9\u8981\u4f7f\u7528\u7684\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u663e\u793a\u6a21\u578b\u4fe1\u606f<\/h3>\n

url_show_info = "http:\/\/localhost:11434\/api\/show"<\/p>\n

data = {
\n "name": "deepseek-r1:1.5b" # \u66ff\u6362\u4e3a\u4f60\u60f3\u8981\u67e5\u8be2\u7684\u6a21\u578b\u540d\u79f0
\n}<\/p>\n

response = requests.post(url_show_info, json=data)
\nresponse_dict = response.json()<\/p>\n

print("\u6a21\u578b\u4fe1\u606f:", json.dumps(response_dict, indent=2, ensure_ascii=False))<\/p>\n

\u8f93\u51fa\u6a21\u578b\u4fe1\u606f：<\/p>\n

\u6a21\u578b\u4fe1\u606f: {
\n "license": "MIT License\\\\n\\\\nCopyright (c) 2023 DeepSeek\\\\n\\\\nPermission is hereby granted, free of charge, to any person obtaining a copy\\\\nof this software and associated documentation files (the \\\\"Software\\\\"), to deal\\\\nin the Software without restriction, including without limitation the rights\\\\nto use, copy, modify, merge, publish, distribute, sublicense, and\/or sell\\\\ncopies of the Software, and to permit persons to whom the Software is\\\\nfurnished to do so, subject to the following conditions:\\\\n\\\\nThe above copyright notice and this permission notice shall be included in all\\\\ncopies or substantial portions of the Software.\\\\n\\\\nTHE SOFTWARE IS PROVIDED \\\\"AS IS\\\\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\\\\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\\\\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\\\\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\\\\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\\\\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\\\\nSOFTWARE.\\\\n",
\n "modelfile": "# Modelfile generated by \\\\"ollama show\\\\"\\\\n# To build a new Modelfile based on this, replace FROM with:\\\\n# FROM deepseek-r1:1.5b\\\\n\\\\nFROM E:\\\\\\\\ai\\\\\\\\models\\\\\\\\blobs\\\\\\\\sha256-aabd4debf0c8f08881923f2c25fc0fdeed24435271c2b3e92c4af36704040dbc\\\\nTEMPLATE \\\\"\\\\"\\\\"{{- if .System }}{{ .System }}{{ end }}\\\\n{{- range $i, $_ := .Messages }}\\\\n{{- $last := eq (len (slice $.Messages $i)) 1}}\\\\n{{- if eq .Role \\\\"user\\\\" }}<｜User｜>{{ .Content }}\\\\n{{- else if eq .Role \\\\"assistant\\\\" }}<｜Assistant｜>{{ .Content }}{{- if not $last }}<｜end\u2581of\u2581sentence｜>{{- end }}\\\\n{{- end }}\\\\n{{- if and $last (ne .Role \\\\"assistant\\\\") }}<｜Assistant｜>{{- end }}\\\\n{{- end }}\\\\"\\\\"\\\\"\\\\nPARAMETER stop <｜begin\u2581of\u2581sentence｜>\\\\nPARAMETER stop <｜end\u2581of\u2581sentence｜>\\\\nPARAMETER stop <｜User｜>\\\\nPARAMETER stop <｜Assistant｜>\\\\nLICENSE \\\\"\\\\"\\\\"MIT License\\\\n\\\\nCopyright (c) 2023 DeepSeek\\\\n\\\\nPermission is hereby granted, free of charge, to any person obtaining a copy\\\\nof this software and associated documentation files (the \\\\"Software\\\\"), to deal\\\\nin the Software without restriction, including without limitation <\/p>\n

\u68c0\u9a8c\u6a21\u578b\u662f\u5426\u652f\u6301tools\u6216MCP<\/h2>\n<\/p>\n

linux\u4e0b\u00a0<\/p>\n

curl -X POST \\\\
\n http:\/\/localhost:11434\/api\/generate \\\\
\n -H 'Content-Type: application\/json' \\\\
\n -d '{"model": "deepseek-r1:1.5b", "prompt": "\u8ba1\u7b97 2 + 2", "stream": false, "tools": ["calculator"]}'<\/p>\n

python\u4ea4\u4e92\u547d\u4ee4：\u00a0<\/p>\n

import requests
\nimport json<\/p>\n

url_generate = "http:\/\/localhost:11434\/api\/generate"<\/p>\n

data = {
\n "model": "deepseek-r1:1.5b", # \u66ff\u6362\u4e3a\u4f60\u4f7f\u7528\u7684\u6a21\u578b\u540d\u79f0
\n "prompt": "\u8ba1\u7b972+2",
\n "stream": False,
\n "tools": ["calculator"]
\n}<\/p>\n

response = requests.post(url_generate, json=data)
\nresponse_dict = response.json()<\/p>\n

print("\u751f\u6210\u7684\u6587\u672c:", response_dict.get("response"))<\/p>\n

\u6765\u4e2a\u83b7\u5f97\u6e29\u5ea6\u7684：\u00a0<\/p>\n

import requests<\/p>\n

# MCP \u534f\u8bae\u6d4b\u8bd5\u7aef\u70b9
\nurl_generate = "http:\/\/localhost:11434\/api\/generate"<\/p>\n

# \u6d4b\u8bd5\u63d0\u793a\u8bcd（\u660e\u786e\u8981\u6c42\u7b26\u5408 MCP \u534f\u8bae\u7684 JSON \u54cd\u5e94）
\ntest_prompt = '''\u6839\u636e MCP \u534f\u8bae\u8fd4\u56de\u4ee5\u4e0b\u5de5\u5177\u8c03\u7528\u8bf7\u6c42\u7684\u54cd\u5e94：
\n{
\n "action": "call_tool",
\n "tool_name": "get_weather",
\n "params": {"city": "\u5317\u4eac"}
\n}'''<\/p>\n

data = {
\n "model": "deepseek-r1:1.5b", # \u66ff\u6362\u4e3a\u5b9e\u9645\u652f\u6301 MCP \u7684\u6a21\u578b\u540d\u79f0
\n "prompt": test_prompt,
\n "stream": False,
\n "tools": ["get_weather"], # \u5de5\u5177\u540d\u79f0\u9700\u4e0e\u8bf7\u6c42\u4e2d\u7684 tool_name \u4e00\u81f4
\n "response_format": {"type": "json"}
\n}<\/p>\n

try:
\n response = requests.post(url_generate, json=data)
\n response.raise_for_status() # \u68c0\u67e5 HTTP \u72b6\u6001\u7801
\n response_dict = response.json()<\/p>\n

# \u63d0\u53d6\u7ed3\u6784\u5316\u54cd\u5e94
\n generated_response = response_dict.get("response", "")
\n print("\u751f\u6210\u7684 JSON \u54cd\u5e94:", generated_response)<\/p>\n

# \u89e3\u6790 JSON \u5b57\u7b26\u4e32\u4e3a\u5b57\u5178（\u82e5\u6a21\u578b\u8fd4\u56de\u7684\u662f\u5b57\u7b26\u4e32）
\n tool_response = json.loads(generated_response) if isinstance(generated_response, str) else generated_response<\/p>\n

# \u65ad\u8a00 MCP \u534f\u8bae\u7684\u5173\u952e\u5b57\u6bb5
\n assert tool_response.get("action") == "tool_response", "\u54cd\u5e94\u52a8\u4f5c\u4e0d\u7b26\u5408 MCP \u534f\u8bae"
\n assert "status" in tool_response.get("tool_response", {}), "\u7f3a\u5c11\u72b6\u6001\u5b57\u6bb5"
\n assert tool_response["tool_response"]["status"] == "success", "\u5de5\u5177\u8c03\u7528\u5931\u8d25"<\/p>\n

except requests.exceptions.RequestException as e:
\n print("\u8bf7\u6c42\u5931\u8d25:", e)
\nexcept json.JSONDecodeError:
\n print("\u54cd\u5e94\u975e\u5408\u6cd5 JSON \u683c\u5f0f")
\nexcept AssertionError as e:
\n print("\u65ad\u8a00\u9519\u8bef:", e)<\/p>\n

\u00a0<\/p>\n

\u6d4b\u8bd5\u4e0b\u6765，\u611f\u89c9\u6709\u4e9b\u6a21\u578b\u8fd4\u56de\u7684\u4fe1\u606f\u6709\u5e72\u6270\u4fe1\u606f…..<\/p>\n

deepseek-v3\u548cllama3.2 3b\u6a21\u578b\u90fd\u662f\u652f\u6301MCP\u7684，\u4f46\u65e0\u6cd5\u4fdd\u8bc1\u6bcf\u56de\u90fd\u6b63\u786e\u56de\u5e94\u3002<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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