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API reference

LangSmith API reference

observability, evaluation, tracing, and prompt engineering platform for production LLM applications

Identifiers: 48
With full guides: 0
Types: 8

Topics covered

Client
traceable decorator
wrap_openai
RunTree spans
Evaluation datasets
expect assertions
Online evaluators
Pytest plugin

Class

Name	What it does
`Client`	Class
`AsyncClient`	Class
`RunTree`	Class
`ApiKeyAuth`	Class
`DynamicRunEvaluator`	Class
`ExactMatchEvaluator`	Class
`CriteriaEvaluator`	Class
`EmbeddingDistanceEvaluator`	Class

Function

Name	What it does
`wrap_openai`	Function
`evaluate`	Function
`expect`	Function
`tracing_context`	Function
`as_run_evaluator`	Function
`aevaluate`	Function
`get_current_run_tree`	Function
`create_presigned_url`	Function
`run_on_dataset`	Function
`wrap_anthropic`	Function
`create_llm_as_judge`	Function
`create_dataset`	Function
`create_feedback`	Function
`push_prompt`	Function
`pull_prompt`	Function

Interface

Name	What it does
`RunEvaluator`	Interface
`StringEvaluator`	Interface

Type Alias

Name	What it does
`EvaluationResult`	Type Alias
`Run`	Type Alias
`Dataset`	Type Alias
`Feedback`	Type Alias
`Example`	Type Alias
`Trace`	Type Alias
`FeedbackSource`	Type Alias
`FeedbackCategory`	Type Alias
`ScoreType`	Type Alias

Const

Name	What it does
`LANGSMITH_TRACING`	Const
`LANGSMITH_API_KEY`	Const
`LANGSMITH_PROJECT`	Const
`LANGSMITH_ENDPOINT`	Const

Enum

Name	What it does
`RunType`	Enum

Decorator

Name	What it does
`traceable`	Decorator
`unit`	Decorator
`pytest.mark.langsmith`	Decorator

Module

Name	What it does
`pytest-plugin`	Module
`Metadata & tags`	Module
`Threads`	Module
`Distributed tracing`	Module
`Pairwise evaluation`	Module
`Vitest & Jest`	Module

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