TracerSessionResult#
- class langsmith.schemas.TracerSessionResult(
- _host_url: str | None = None,
- *,
- id: UUID,
- start_time: datetime = None,
- end_time: datetime | None = None,
- description: str | None = None,
- name: str | None = None,
- extra: dict[str, Any] | None = None,
- tenant_id: UUID,
- reference_dataset_id: UUID | None = None,
- run_count: int | None = None,
- latency_p50: timedelta | None = None,
- latency_p99: timedelta | None = None,
- total_tokens: int | None = None,
- prompt_tokens: int | None = None,
- completion_tokens: int | None = None,
- last_run_start_time: datetime | None = None,
- feedback_stats: dict[str, Any] | None = None,
- run_facets: list[dict[str, Any]] | None = None,
- total_cost: Decimal | None = None,
- prompt_cost: Decimal | None = None,
- completion_cost: Decimal | None = None,
- first_token_p50: timedelta | None = None,
- first_token_p99: timedelta | None = None,
- error_rate: float | None = None,
一个项目,附带额外信息。
在用户界面中,会话也称为“项目”。
初始化一个 Run 对象。
属性
metadata
检索元数据(如果有)。
tags
检索标签(如果有)。
url
此运行在应用程序中的URL。
方法
__init__
([_host_url])初始化一个 Run 对象。
construct
([_fields_set])从受信任或预验证的数据创建新模型,设置 __dict__ 和 __fields_set__。
copy
(*[, include, exclude, update, deep])复制一个模型,可选择包含、排除和更改哪些字段。
dict
(*[, include, exclude, by_alias, ...])生成模型的字典表示,可选地指定要包含或排除的字段。
from_orm
(obj)json
(*[, include, exclude, by_alias, ...])生成模型的 JSON 表示,include 和 exclude 参数与 dict() 相同。
parse_file
(path, *[, content_type, ...])parse_obj
(obj)parse_raw
(b, *[, content_type, encoding, ...])schema
([by_alias, ref_template])schema_json
(*[, by_alias, ref_template])update_forward_refs
(**localns)尝试根据此模型、全局命名空间(globalns)和局部命名空间(localns)更新字段上的 ForwardRefs。
validate
(value)- 参数:
_host_url (str | None)
id (UUID)
start_time (datetime)
end_time (datetime | None)
description (str | None)
name (str | None)
extra (dict[str, Any] | None)
tenant_id (UUID)
reference_dataset_id (UUID | None)
run_count (int | None)
latency_p50 (timedelta | None)
latency_p99 (timedelta | None)
total_tokens (int | None)
prompt_tokens (int | None)
completion_tokens (int | None)
last_run_start_time (datetime | None)
feedback_stats (dict[str, Any] | None)
run_facets (list[dict[str, Any]] | None)
total_cost (Decimal | None)
prompt_cost (Decimal | None)
completion_cost (Decimal | None)
first_token_p50 (timedelta | None)
first_token_p99 (timedelta | None)
error_rate (float | None)
- __init__(
- _host_url: str | None = None,
- **kwargs: Any,
初始化一个 Run 对象。
- 参数:
_host_url (str | None)
kwargs (Any)
- 返回类型:
None
- classmethod construct(
- _fields_set: SetStr | None = None,
- **values: Any,
从受信任或预验证的数据创建新模型,设置 __dict__ 和 __fields_set__。默认值将被遵守,但不执行其他验证。其行为如同设置了 Config.extra = ‘allow’,因为它会添加所有传入的值。
- 参数:
_fields_set (SetStr | None)
values (Any)
- 返回类型:
Model
- copy(
- *,
- include: AbstractSetIntStr | MappingIntStrAny | None = None,
- exclude: AbstractSetIntStr | MappingIntStrAny | None = None,
- update: DictStrAny | None = None,
- deep: bool = False,
复制一个模型,可选择包含、排除和更改哪些字段。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None) – 新模型中要包含的字段
exclude (AbstractSetIntStr | MappingIntStrAny | None) – 新模型中要排除的字段,与值一样,这优先于包含
update (DictStrAny | None) – 新模型中要更改/添加的值。注意:在创建新模型之前不会验证数据:您应该信任此数据
deep (bool) – 设置为 True 以进行模型的深拷贝
self (Model)
- 返回:
新的模型实例
- 返回类型:
Model
- dict(
- *,
- include: AbstractSetIntStr | MappingIntStrAny | None = None,
- exclude: AbstractSetIntStr | MappingIntStrAny | None = None,
- by_alias: bool = False,
- skip_defaults: bool | None = None,
- exclude_unset: bool = False,
- exclude_defaults: bool = False,
- exclude_none: bool = False,
生成模型的字典表示,可选地指定要包含或排除的字段。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)
- 返回类型:
DictStrAny
- classmethod from_orm(obj: Any) Model #
- 参数:
obj (Any)
- 返回类型:
Model
- json(
- *,
- include: AbstractSetIntStr | MappingIntStrAny | None = None,
- exclude: AbstractSetIntStr | MappingIntStrAny | None = None,
- by_alias: bool = False,
- skip_defaults: bool | None = None,
- exclude_unset: bool = False,
- exclude_defaults: bool = False,
- exclude_none: bool = False,
- encoder: Callable[[Any], Any] | None = None,
- models_as_dict: bool = True,
- **dumps_kwargs: Any,
生成模型的 JSON 表示,include 和 exclude 参数与 dict() 相同。
encoder 是一个可选函数,作为 json.dumps() 的 default 参数提供,其他参数与 json.dumps() 相同。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)
encoder (Callable[[Any], Any] | None)
models_as_dict (bool)
dumps_kwargs (Any)
- 返回类型:
str
- classmethod parse_file(
- path: str | Path,
- *,
- content_type: str = None,
- encoding: str = 'utf8',
- proto: Protocol = None,
- allow_pickle: bool = False,
- 参数:
path (str | Path)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)
- 返回类型:
Model
- classmethod parse_obj(obj: Any) Model #
- 参数:
obj (Any)
- 返回类型:
Model
- classmethod parse_raw(
- b: str | bytes,
- *,
- content_type: str = None,
- encoding: str = 'utf8',
- proto: Protocol = None,
- allow_pickle: bool = False,
- 参数:
b (str | bytes)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)
- 返回类型:
Model
- classmethod schema(
- by_alias: bool = True,
- ref_template: str = '#/definitions/{model}',
- 参数:
by_alias (bool)
ref_template (str)
- 返回类型:
DictStrAny
- classmethod schema_json(
- *,
- by_alias: bool = True,
- ref_template: str = '#/definitions/{model}',
- **dumps_kwargs: Any,
- 参数:
by_alias (bool)
ref_template (str)
dumps_kwargs (Any)
- 返回类型:
str
- classmethod update_forward_refs(
- **localns: Any,
尝试根据此模型、全局命名空间(globalns)和局部命名空间(localns)更新字段上的 ForwardRefs。
- 参数:
localns (Any)
- 返回类型:
None
- classmethod validate(value: Any) Model #
- 参数:
value (Any)
- 返回类型:
Model