ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter2/prompt-engineering/tau_bench/model_utils/__init__.py

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+from tau_bench.model_utils.api.api import API as API
+from tau_bench.model_utils.api.api import default_api_from_args as default_api_from_args
+from tau_bench.model_utils.api.api import BinaryClassifyDatapoint as BinaryClassifyDatapoint
+from tau_bench.model_utils.api.api import ClassifyDatapoint as ClassifyDatapoint
+from tau_bench.model_utils.api.api import GenerateDatapoint as GenerateDatapoint
+from tau_bench.model_utils.api.api import ParseDatapoint as ParseDatapoint
+from tau_bench.model_utils.api.api import ParseForceDatapoint as ParseForceDatapoint
+from tau_bench.model_utils.api.api import ScoreDatapoint as ScoreDatapoint
+from tau_bench.model_utils.api.api import default_api as default_api
+from tau_bench.model_utils.api.api import default_quick_api as default_quick_api
+from tau_bench.model_utils.api.datapoint import Datapoint as Datapoint
+from tau_bench.model_utils.api.datapoint import EvaluationResult as EvaluationResult
+from tau_bench.model_utils.api.datapoint import datapoint_factory as datapoint_factory
+from tau_bench.model_utils.api.datapoint import load_from_disk as load_from_disk
+from tau_bench.model_utils.api.exception import APIError as APIError
+from tau_bench.model_utils.api.sample import (
+    EnsembleSamplingStrategy as EnsembleSamplingStrategy,
+)
+from tau_bench.model_utils.api.sample import (
+    MajoritySamplingStrategy as MajoritySamplingStrategy,
+)
+from tau_bench.model_utils.api.sample import (
+    RedundantSamplingStrategy as RedundantSamplingStrategy,
+)
+from tau_bench.model_utils.api.sample import RetrySamplingStrategy as RetrySamplingStrategy
+from tau_bench.model_utils.api.sample import SamplingStrategy as SamplingStrategy
+from tau_bench.model_utils.api.sample import SingleSamplingStrategy as SingleSamplingStrategy
+from tau_bench.model_utils.api.sample import (
+    UnanimousSamplingStrategy as UnanimousSamplingStrategy,
+)
+from tau_bench.model_utils.api.sample import (
+    get_default_sampling_strategy as get_default_sampling_strategy,
+)
+from tau_bench.model_utils.api.sample import (
+    set_default_sampling_strategy as set_default_sampling_strategy,
+)
+from tau_bench.model_utils.model.chat import PromptSuffixStrategy as PromptSuffixStrategy
+from tau_bench.model_utils.model.exception import ModelError as ModelError
+from tau_bench.model_utils.model.general_model import GeneralModel as GeneralModel
+from tau_bench.model_utils.model.general_model import default_model as default_model
+from tau_bench.model_utils.model.general_model import model_factory as model_factory
+from tau_bench.model_utils.model.model import BinaryClassifyModel as BinaryClassifyModel
+from tau_bench.model_utils.model.model import ClassifyModel as ClassifyModel
+from tau_bench.model_utils.model.model import GenerateModel as GenerateModel
+from tau_bench.model_utils.model.model import ParseForceModel as ParseForceModel
+from tau_bench.model_utils.model.model import ParseModel as ParseModel
+from tau_bench.model_utils.model.model import Platform as Platform
+from tau_bench.model_utils.model.model import ScoreModel as ScoreModel
+from tau_bench.model_utils.model.openai import OpenAIModel as OpenAIModel
+from tau_bench.model_utils.model.utils import InputType as InputType