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https://github.com/meta-llama/llama-stack.git
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045a0c1d57
Uses test_id in request hashes and test-scoped subdirectories to prevent cross-test contamination. Model list endpoints exclude test_id to enable merging recordings from different servers. Additionally, this PR adds a `record-if-missing` mode (which we will use instead of `record` which records everything) which is very useful. 🤖 Co-authored with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude <noreply@anthropic.com>
57 lines
2.4 KiB
JSON
57 lines
2.4 KiB
JSON
{
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"test_id": null,
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"request": {
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"method": "POST",
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"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "llama3.2:3b-instruct-fp16",
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"messages": [
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{
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"role": "user",
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"content": "Test OpenAI telemetry creation"
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}
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],
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"stream": false
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},
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"endpoint": "/v1/chat/completions",
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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__": "openai.types.chat.chat_completion.ChatCompletion",
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"__data__": {
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"id": "rec-e944144fdb97",
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"choices": [
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{
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"finish_reason": "stop",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "import numpy as np\nfrom openai_telemetry_sdk import Logger, Telemetry, Event\n\n# Create a new telemetry client\ntelemetry_client = Telemetry()\n\n# Define the name and version of your application\napp_name = \"My Application\"\napp_version = \"1.0\"\n\n# Initialize the telemetry logger\nlogger = Logger.new(\n app_name=app_name,\n app_version=app_version,\n)\n\n# Create a new event handler for telemetry events (e.g., start session, end session)\ndef handle_telemetry_event(event):\n print(f\"Received telemetry event: {event.event}\")\n\n# Register the event handler with the logger\nlogger.add_handler(Event_TELEMETRY, handle_telemetry_event)\n\n# Start the telemetry session\nwhile True:\n # Get a random integer value between 0 and 100\n rand_value = np.random.randint(0, 101)\n \n # Record an event (e.g., user input) with the random value as metadata\n logger.record Telemetry(\"user_input\", {\"random_field\": rand_value})\n \n # Flush any pending events to send them over the telemetry server\n logger.flush()",
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"refusal": null,
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"role": "assistant",
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"annotations": null,
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"audio": null,
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"function_call": null,
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"tool_calls": null
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}
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": {
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"completion_tokens": 238,
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"prompt_tokens": 30,
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"total_tokens": 268,
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"completion_tokens_details": null,
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"prompt_tokens_details": null
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}
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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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