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b24059a92f
- conftest: pytest_runtest_makereport now early-returns on report.skipped so pytest.skip(...) inside a compat test body doesn't get recorded as a phantom 'fail' row via the not-failed/empty-collected branch. - _basic_messaging: drop require_stream_events. The check (not outcome.events) cannot catch a buffering regression because cli_driver uses subprocess.run(capture_output=True), which only exposes the post-exit stdout blob — buffered-then-flushed and truly streamed responses are indistinguishable. The check was also unreachable as an independent failure path (empty events -> empty text -> the text check fires first). Update all five streaming callers and docstrings accordingly. Co-authored-by: Yassin Kortam <yassin@berri.ai>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
"""basic_messaging_streaming x Azure (Microsoft Foundry).
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Drive the real `claude` CLI in headless `--output-format stream-json`
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mode against a running LiteLLM proxy that routes Claude requests to
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Anthropic's models hosted in Microsoft Foundry on Azure, and report the
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outcome via `compat_result`.
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Foundry exposes Claude on an Anthropic-shape `/anthropic/v1/messages`
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endpoint with native SSE streaming; LiteLLM forwards stream events
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through the `azure_ai/claude-*` provider unchanged.
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The (feature, provider) for this cell is inferred from the file path by
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`tests/claude_code/conftest.py`:
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tests/claude_code/basic_messaging_streaming/test_azure.py
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^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^
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feature_id provider
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"""
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from __future__ import annotations
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from tests.claude_code._basic_messaging import run_basic_messaging_cell
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AZURE_MODELS = [
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"claude-haiku-4-5-azure",
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"claude-sonnet-4-6-azure",
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"claude-opus-4-7-azure",
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]
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def test_basic_messaging_streaming_azure(compat_result):
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"""Drive the `claude` CLI against the LiteLLM proxy and assert a
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non-empty streamed reply (one row per Claude tier).
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"""
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run_basic_messaging_cell(
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compat_result=compat_result,
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models=AZURE_MODELS,
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prompt="Count from 1 to 5, one number per line.",
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)
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