mirror of
https://github.com/meta-llama/llama-stack.git
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79bed44b04
Propagate test IDs from client to server via HTTP headers to maintain proper test isolation when running with server-based stack configs. Without this, recorded/replayed inference requests in server mode would leak across tests. Changes: - Patch client _prepare_request to inject test ID into provider data header - Sync test context from provider data on server side before storage operations - Set LLAMA_STACK_TEST_STACK_CONFIG_TYPE env var based on stack config - Configure console width for cleaner log output in CI - Add SQLITE_STORE_DIR temp directory for test data isolation
57 lines
2.1 KiB
JSON
Generated
57 lines
2.1 KiB
JSON
Generated
{
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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 trace openai 2"
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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-395c30078677",
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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": "I'd be happy to help you test the new text-based interface for the OpenAI chat model, known as \"ChatGPT\". Here's how we can do it:\n\n**What is the new interface?**\n\nThe new interface is a simple text-based interface that allows you to interact with an AI model using plain text commands. You can type in a question or prompt, and the AI will respond with a relevant answer.\n\n**How to test the interface:**\n\n1. Type your query in the chat window below.\n2. Press enter to submit your query.\n3. The AI will respond with an answer, which you can then examine and ask follow-up questions about.\n\nGo ahead and try something! What would you like to know or discuss?",
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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": 151,
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"prompt_tokens": 31,
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"total_tokens": 182,
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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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