mirror of
https://github.com/BerriAI/litellm.git
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78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
import json
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from pathlib import Path
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import pytest
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REPO_ROOT = Path(__file__).parents[2]
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MAIN_PATH = REPO_ROOT / "model_prices_and_context_window.json"
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BACKUP_PATH = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json"
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DAYBREAK_MODELS = (
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"gpt-5.6-cyber",
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"daybreak-red-latest",
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"daybreak-blue-latest",
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)
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BLUE_ALIAS = "daybreak-blue-latest"
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BLUE_SNAPSHOT = "gpt-5.6-sol"
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OFFICIAL_ALIAS_SNAPSHOTS = (
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("gpt-daybreak-blue-latest", "gpt-5.6-sol"),
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("gpt-daybreak-red-latest", "gpt-5.6-cyber"),
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)
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PRICE_FIELDS = (
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"input_cost_per_token",
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"output_cost_per_token",
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"cache_read_input_token_cost",
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"input_cost_per_token_above_272k_tokens",
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"output_cost_per_token_above_272k_tokens",
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)
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def _load(path):
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with open(path) as f:
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return json.load(f)
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@pytest.mark.parametrize("model", DAYBREAK_MODELS)
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def test_daybreak_capability_contract(model):
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info = _load(MAIN_PATH).get(model)
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assert info is not None, f"{model} missing from model_prices_and_context_window.json"
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assert info["litellm_provider"] == "openai"
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assert info["mode"] == "chat"
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assert info["supported_endpoints"] == ["/v1/chat/completions", "/v1/responses"]
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assert info["supports_computer_use"] is True
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assert info["supports_parallel_function_calling"] is True
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assert info["supports_function_calling"] is True
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assert info["supports_reasoning"] is True
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assert info["supports_vision"] is True
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def test_blue_alias_matches_its_snapshot_computer_use():
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cost_map = _load(MAIN_PATH)
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assert cost_map[BLUE_ALIAS]["supports_computer_use"] is True
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assert cost_map[BLUE_SNAPSHOT]["supports_computer_use"] is True
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@pytest.mark.parametrize(("alias", "snapshot"), OFFICIAL_ALIAS_SNAPSHOTS)
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def test_official_alias_tracks_snapshot(alias, snapshot):
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cost_map = _load(MAIN_PATH)
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alias_info = cost_map[alias]
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snapshot_info = cost_map[snapshot]
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assert alias_info["supported_endpoints"] == ["/v1/responses"]
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assert alias_info["mode"] == "responses"
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assert alias_info["source"] == f"https://developers.openai.com/api/docs/models/{alias}"
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assert {field: alias_info.get(field) for field in PRICE_FIELDS} == {
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field: snapshot_info.get(field) for field in PRICE_FIELDS
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}
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assert alias_info["max_output_tokens"] == snapshot_info["max_output_tokens"]
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@pytest.mark.parametrize("model", (*DAYBREAK_MODELS, BLUE_SNAPSHOT, *(alias for alias, _ in OFFICIAL_ALIAS_SNAPSHOTS)))
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def test_backup_matches_main(model):
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main_cost = _load(MAIN_PATH)
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backup_cost = _load(BACKUP_PATH)
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assert backup_cost.get(model) == main_cost.get(model), f"{model} differs between main and backup model cost maps"
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