cls
9dfa06ffee
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Signed-off-by: cls_宁波本机 <908705107@qq.com>
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
"""Shared fixtures for testbed provisioning tests."""
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from __future__ import annotations
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import pytest
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from harbor_buzz_orchestra.manifest import ExperimentManifest
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PROMPT_REF = {"path": "personas/x.md", "sha256": "0" * 64}
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@pytest.fixture()
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def manifest() -> ExperimentManifest:
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"""A minimal two-class manifest: one orchestrator, two workers."""
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return ExperimentManifest.load(
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{
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"condition": "O-test",
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"roster": [
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{
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"id": "worker-glm",
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"kind": "worker",
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"role": "implementer",
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"count": 2,
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"endpoint": "databricks/glm",
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"model_revision": "glm-5.2",
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"prompt": PROMPT_REF,
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"generation": {
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"max_output_tokens": 4096,
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"context_window_tokens": 128000,
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},
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},
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{
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"id": "orch-opus",
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"kind": "orchestrator",
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"role": "lead",
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"count": 1,
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"endpoint": "databricks/opus",
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"model_revision": "opus-4.8",
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"prompt": PROMPT_REF,
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"generation": {
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"max_output_tokens": 8192,
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"context_window_tokens": 200000,
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},
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},
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],
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"prices": {
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"databricks/glm": {
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"input_per_million_usd": 0.5,
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"cached_input_per_million_usd": 0.1,
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"output_per_million_usd": 1.5,
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},
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"databricks/opus": {
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"input_per_million_usd": 15.0,
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"cached_input_per_million_usd": 1.5,
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"output_per_million_usd": 75.0,
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},
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},
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"trial_budget": {"timeout_seconds": 3600},
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}
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)
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