Return the custom headers used for API requests.

Return the API key used for authentication.

Return the workspace ID used for API requests.

Access the runs resource.

Access the evaluator resource.

Access the sandboxes resource (registries, snapshots, boxes).

Access the v2 datasets resource (experiment_runs, etc.).

Access the annotation queues resource (runs, items).

Access the threads resource (query, stats, list_traces).

Access the traces resource (query, list_runs).

Access the public shared-run resource.

Get information about the LangSmith server.

Close the async client.

Create a run.

Update a run.

Get share state for a run asynchronously.

Create a project.

Read a project.

Delete a project from LangSmith.

Create a dataset.

Read a dataset.

Delete a dataset.

List datasets.

Create an example.

Read an example.

List examples.

Create feedback for a run.

Create feedback from a presigned token or URL.

Create a pre-signed URL to send feedback data to.

This is useful for giving browser-based clients a way to upload feedback data directly to LangSmith without accessing the API key.

Read feedback.

List feedback.

Delete a feedback by ID.

List the annotation queues on the LangSmith API.

Create an annotation queue on the LangSmith API.

Read an annotation queue with the specified queue_id.

Update an annotation queue with the specified queue_id.

Delete an annotation queue with the specified queue_id.

Delete a run from an annotation queue with the specified queue_id and run_id.

Get a run from an annotation queue at the specified index.

List runs in an annotation queue with the specified queue_id.

Create a feedback configuration.

Defines how feedback with a given key should be interpreted. If an identical configuration already exists for the key, it is returned unchanged. If a different configuration already exists for the key, an error is raised.

List feedback configurations.

Update a feedback configuration.

Only the provided fields will be updated; others remain unchanged.

Delete a feedback configuration.

This performs a soft delete. The configuration can be recreated later with the same key.

Like a prompt.

Unlike a prompt.

List prompts with pagination.

Get a specific prompt by its identifier.

Create a new prompt.

Does not attach prompt object, just creates an empty prompt.

Create a commit for an existing prompt.

Update a prompt's metadata.

To update the content of a prompt, use push_prompt or create_commit instead.

Delete a prompt.

Pull a prompt object from the LangSmith API.

Public prompts referenced by owner/name cross a trust boundary because the prompt manifest may contain serialized LangChain objects and configuration that affect runtime behavior. For example, a prompt can intentionally configure a model with a custom base URL, headers, model name, or other constructor arguments. These are supported features, but they also mean the prompt contents should be treated as executable configuration rather than plain text.

Set dangerously_pull_public_prompt=True only after reviewing and trusting the prompt contents, not merely the publishing account. Prompts from your own or your organization's account can still be unsafe if that account or prompt was compromised.

List commits for a given prompt.

Push a prompt to the LangSmith API.

Can be used to update prompt metadata or prompt content.

If the prompt does not exist, it will be created.

If the prompt exists, it will be updated.

Pull an agent from Hub.

Push an agent to Hub, creating the repo if it does not exist.

Pull a skill from Hub.

Push a skill to Hub.

Delete an agent and its owned child file repos.

Delete a skill and its owned child file repos.

Check if an agent repo exists.

Check if a skill repo exists.

List agents with pagination.

List skills with pagination.