From c0c0e337d96237c05137e0fa910a4faaaab8afde Mon Sep 17 00:00:00 2001 From: Ashwin Bharambe Date: Tue, 21 Oct 2025 16:39:08 -0700 Subject: [PATCH] misc(tests): add recordings for responses tests --- tests/integration/conftest.py | 7 + ...54c67a7197dcc26e0326cf72448334c21424d.json | 660 ++ ...2bf228addd43f95f4a9ede8bd5a3cfbd091af.json | 1060 +++ ...3fb8372e880782d7783dd24b13689686a54e1.json | 668 ++ ...925d76f5e98199f0c6baf6736bb140e008cff.json | 763 ++ ...29b2db20e03a629092274039f33f909bd481d.json | 6723 +++++++++++++++++ ...2053183a19c75d8a55f0d19ae51e36c7aa673.json | 2098 +++++ ...7b4a1f3b48fb71f8682967d35e19498eb9386.json | 1901 +++++ ...c9e00a75d79046a954e4c5858e36c4fbd70c5.json | 925 +++ ...1cf680d89b3b3c936882767e4500b0cf6d517.json | 660 ++ ...7413151487768ad8d178b4c1c766ebf757a48.json | 1450 ++++ ...875025701bd363939f36299cf66846167b173.json | 660 ++ ...4bd19d8b1e30993882dad557fbdb655c65149.json | 586 ++ ...cb9fa640daa3a1e1b5eef7a96863a592cc7fa.json | 1091 +++ 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...5b04deeb96c97931d3413adf0a4e5216a42d4.json | 660 ++ ...fbe37829f7ed7ca4706ff0cbb6113f9a3253b.json | 2239 ++++++ 33 files changed, 49747 insertions(+) create mode 100644 tests/integration/responses/recordings/00913934356fb4f196f8c21081154c67a7197dcc26e0326cf72448334c21424d.json create mode 100644 tests/integration/responses/recordings/0c81f5d5c9e09daecd5eceaeae22bf228addd43f95f4a9ede8bd5a3cfbd091af.json create mode 100644 tests/integration/responses/recordings/1489591da67e505cdd2c1fddb0c3fb8372e880782d7783dd24b13689686a54e1.json create mode 100644 tests/integration/responses/recordings/15f4d677d61a2eecaedd1aafaa3925d76f5e98199f0c6baf6736bb140e008cff.json create mode 100644 tests/integration/responses/recordings/1ce6d4a8ec438d4a6a3618e5e6929b2db20e03a629092274039f33f909bd481d.json create mode 100644 tests/integration/responses/recordings/302881895eae2384296096186c02053183a19c75d8a55f0d19ae51e36c7aa673.json create mode 100644 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pytest_sessionstart(session): patch_httpx_for_test_id() +@pytest.fixture(autouse=True) +def suppress_httpx_logs(caplog): + """Suppress httpx INFO logs for all integration tests""" + caplog.set_level(logging.WARNING, logger="httpx") + + @pytest.fixture(autouse=True) def _track_test_context(request): """Automatically track current test context for isolated recordings. diff --git a/tests/integration/responses/recordings/00913934356fb4f196f8c21081154c67a7197dcc26e0326cf72448334c21424d.json b/tests/integration/responses/recordings/00913934356fb4f196f8c21081154c67a7197dcc26e0326cf72448334c21424d.json new file mode 100644 index 000000000..c6ffb34ae --- /dev/null +++ b/tests/integration/responses/recordings/00913934356fb4f196f8c21081154c67a7197dcc26e0326cf72448334c21424d.json @@ -0,0 +1,660 @@ +{ + "test_id": 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It codifies best \npractices\n \nacross\n \nthe\n \nLlama\n \necosystem.\n \nMore\n \nspecifically,\n \nit\n \nprovides\n \u25cf Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry. \u25cf Plugin architecture to support the rich ecosystem of different API implementations in various \nenvironments,\n \nincluding\n \nlocal\n \ndevelopment,\n \non-premises,\n \ncloud,\n \nand\n \nmobile.\n \u25cf Prepackaged verified distributions which offer a one-stop solution for developers to get started quickly \nand\n \nreliably\n \nin\n \nany\n \nenvironment.\n \u25cf Multiple developer interfaces like CLI and SDKs for Python, Typescript, iOS, and Android. \u25cf Standalone applications as examples for how to build production-grade AI applications with Llama \nStack.\n \nLlama Stack Benefits \n\u25cf Flexible Options: Developers can choose their preferred infrastructure without changing APIs and enjoy \nflexible\n \ndeployment\n \nchoices.\n \u25cf Consistent Experience: With its unified APIs, Llama Stack makes it easier to build, test, and deploy AI \napplications\n \nwith\n \nconsistent\n \napplication\n \nbehavior.\n \u25cf Robust Ecosystem: Llama Stack is already integrated with distribution partners (cloud providers, \nhardware\n \nvendors,\n \nand\n \nAI-focused\n \ncompanies)\n \nthat\n \noffer\n \ntailored\n \ninfrastructure,\n \nsoftware,\n \nand\n \nservices\n \nfor\n \ndeploying\n \nLlama\n \nmodels.\n \nLlama 4 Maverick \n Llama 4 Maverick is a Mixture-of-Experts (MoE) model with 17 billion active parameters and 128 experts. \n" + }, + { + "type": "text", + "text": "END of knowledge_search tool results.\n" + }, + { + "type": "text", + "text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model number of experts\". 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