MODEL_RUNNER_PORT=8080 make run

$ make install

$ MODEL_RUNNER_HOST=http://localhost:8080 docker model requests --help
Usage:  docker model requests [OPTIONS]

Fetch requests+responses from Docker Model Runner

Options:
  -f, --follow             Follow requests stream
      --include-existing   Include existing requests when starting to follow (only available with --follow)
      --model string       Specify the model to filter requests

$ MODEL_RUNNER_HOST=http://localhost:8080 docker model requests --include-existing -f --model ai/qwen3:0.6B-Q4_0
Connected to request stream. Press Ctrl+C to stop.
{"id":"sha256:df9f2a333a636ca3a290700759adc29fad54cb2dee5b2f198e1bce26101686eb_1757684269324900000","model":"ai/qwen3:0.6B-Q4_0","method":"POST","url":"/engines/v1/chat/completions","request":"{\"model\":\"ai/qwen3:0.6B-Q4_0\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}],\"stream\":true}","response":"{\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"message\":{\"content\":\"Hi! How can I assist you today? 😊\",\"reasoning_content\":\"okay, the user just said \\\"hi\\\". I should respond politely. Let me make sure to acknowledge their greeting.\\n\\nFirst, a simple \\\"hi\\\" is good. Then, maybe add something like \\\"Hello! How can I help you today?\\\" That gives a friendly response and opens up the conversation.\\n\\nI should keep it short and positive. Don't be too formal. Something like \\\"Hi! How can I assist you today?\\\" sounds natural and helpful.\\n\\nLet me check if there's any other way to respond. Maybe add a question to engage them further. Like, \\\"Are there any specific topics you'd like to discuss?\\\" That encourages interaction.\\n\\nYes, that works. So the response should be short, friendly, and open for further conversation.\",\"role\":\"assistant\"}}],\"created\":1757684270,\"id\":\"chatcmpl-cEC7vKkmKfxQEXA4Gr6hM0MlXefr5GGs\",\"model\":\"ai/qwen3:0.6B-Q4_0\",\"object\":\"chat.completion\",\"system_fingerprint\":\"b1-c610b6c\",\"timings\":{\"predicted_ms\":981.252,\"predicted_n\":166,\"predicted_per_second\":169.17162971387575,\"predicted_per_token_ms\":5.911156626506024,\"prompt_ms\":33.441,\"prompt_n\":9,\"prompt_per_second\":269.1307078137615,\"prompt_per_token_ms\":3.715666666666667},\"usage\":{\"completion_tokens\":166,\"prompt_tokens\":9,\"total_tokens\":175}}","timestamp":1757684269,"status_code":200,"user_agent":"docker-model-cli/dev"}