Fetch prompts from LangSmith with optional filtering.

Args: is_public (str): Filter by prompt visibility - "true" for public prompts, "false" for private prompts (default: "false") limit (int): Maximum number of prompts to return (default: 20)

Returns: Dict with prompts and metadata

Get a specific prompt by its exact name.

Args: prompt_name (str): The exact name of the prompt to retrieve

Returns: Dict containing the prompt details and template, or an error message

Call this tool when you need to understand how to create and push prompts to LangSmith.

This is a documentation-only tool that explains how to:

• Create prompts using LangChain's prompt templates

• Push prompts to LangSmith for version control and management

• Handle prompt creation vs. version updates

Use the LangSmith Client's push_prompt() method. See LangSmith documentation for details.

Retrieve one page of message history for a specific conversation thread.

Uses char-based pagination: pages are built by character budget (max_chars_per_page). Long strings are truncated to preview_chars. Supply page_number (1-based) on every call; use the returned total_pages to request further pages.

Args: thread_id (str): The unique ID of the thread to fetch history for project_name (str): The name of the project containing the thread page_number (int): 1-based page index (required) max_chars_per_page (int): Max character count per page, capped at 30000 (default: 25000) preview_chars (int): Truncate long strings to this length (default: 150)

Returns: Dict with result (list of messages), page_number, total_pages, etc.

Fetch LangSmith runs from one or more projects with flexible filters and automatic pagination.

All results are paginated by character budget to keep responses manageable. Use page_number and total_pages from the response to iterate through multiple pages.

Args: project_name (str): The project name. For multiple projects, use JSON array string. limit (int): Max runs to fetch from LangSmith API (capped at 100). These runs are then paginated by character budget into pages. page_number (int): 1-based page index. Use with total_pages from response to iterate through pages. trace_id (str, optional): Return only runs that belong to this trace. run_type (str, optional): Filter by type: "llm", "chain", "tool", "retriever". error (str, optional): "true" for errored runs, "false" for successful. is_root (str, optional): "true" for only top-level traces. filter (str, optional): Filter Query Language (FQL) expression. trace_filter (str, optional): Filter applied to the root run. tree_filter (str, optional): Filter applied to any run in the trace tree. order_by (str, optional): Sort field; prefix with "-" for descending. Default "-start_time". reference_example_id (str, optional): Filter runs by reference example ID. max_chars_per_page (int): Max chars per page, capped at 30000. Default 25000. preview_chars (int): Truncate long strings to this length. Default 150.

List LangSmith projects with optional filtering and detail level control.

Args: limit (int): Maximum number of projects to return (default: 5) project_name (str, optional): Filter projects by name (partial match) more_info (str): "true" for full details, "false" for simplified (default: "false") reference_dataset_id (str, optional): Filter by reference dataset ID reference_dataset_name (str, optional): Filter by reference dataset name

Fetch organization billing usage (trace counts) with workspace names inline.

Args: starting_on (str): Start of date range (ISO 8601) ending_before (str): End of date range (ISO 8601) workspace (str, optional): Optional workspace UUID or display name to filter on_current_plan (str): "true" to include only usage on current plan (default: "true")

List LangSmith experiment projects (reference projects) with mandatory dataset filtering.

Requires either reference_dataset_id or reference_dataset_name.

Args: reference_dataset_id (str, optional): Dataset ID to filter experiments by reference_dataset_name (str, optional): Dataset name to filter experiments by limit (int): Maximum number of experiments to return (default: 5) project_name (str, optional): Filter by name (partial match)

Fetch LangSmith datasets.

If no arguments are provided, all datasets will be returned.

Args: dataset_ids (str, optional): Dataset IDs as JSON array string or single ID data_type (str, optional): Filter by dataset data type (e.g., 'chat', 'kv') dataset_name (str, optional): Filter by exact dataset name dataset_name_contains (str, optional): Filter by substring in dataset name metadata (str, optional): Filter by metadata as JSON object string limit (int): Max number of datasets to return (default: 20)

Fetch examples from a LangSmith dataset with advanced filtering options.

Either dataset_id, dataset_name, or example_ids must be provided.

Args: dataset_id (str, optional): Dataset ID to retrieve examples from dataset_name (str, optional): Dataset name to retrieve examples from example_ids (str, optional): Example IDs as JSON array string or single ID filter (str, optional): Filter string using LangSmith query syntax metadata (str, optional): Metadata filter as JSON object string splits (str, optional): Dataset splits as JSON array string or single split inline_s3_urls (str, optional): "true" or "false" include_attachments (str, optional): "true" or "false" as_of (str, optional): Dataset version tag or ISO timestamp limit (int): Max examples to return (default: 10) offset (str, optional): Number of examples to skip

Read a specific dataset from LangSmith.

Either dataset_id or dataset_name must be provided.

Args: dataset_id (str, optional): Dataset ID to retrieve dataset_name (str, optional): Dataset name to retrieve

Read a specific example from LangSmith.

Args: example_id (str): Example ID to retrieve as_of (str, optional): Dataset version tag or ISO timestamp

Call this tool when you need to understand how to create datasets in LangSmith. This is a documentation-only tool.

Call this tool when you need to understand how to update dataset examples in LangSmith. This is a documentation-only tool.

Call this tool when you need to understand how to run experiments and evaluations in LangSmith. This is a documentation-only tool.