Verify that the API key is valid and AnythingLLM is reachable.

List all workspaces in the AnythingLLM instance with their slugs, settings, and thread info.

Get detailed information about a specific workspace.

Args: slug: Workspace slug (e.g. 'papers', 'lands')

Create a new workspace.

Args: name: Name for the new workspace

Update workspace settings (name, temperature, prompt, similarity threshold, etc.).

Args: slug: Workspace slug to update name: New workspace name openAiTemp: LLM temperature (0.0-1.0) openAiHistory: Chat history length (0-100) openAiPrompt: System prompt override similarityThreshold: Similarity threshold (0.0-1.0) topN: Top N results for context (1-20) chatMode: Chat mode: 'chat' or 'query'

Permanently delete a workspace. This action cannot be undone.

Args: slug: Workspace slug to delete

Send a message to a workspace and get a response.

Mode 'chat' uses document context + conversation history. Mode 'query' uses only document context (no history).

Args: slug: Workspace slug message: Message to send mode: 'chat' (context + history) or 'query' (documents only)

Get the chat history for a workspace.

Args: slug: Workspace slug

Create a new chat thread within a workspace.

Args: slug: Workspace slug name: Optional thread name

Delete a chat thread from a workspace.

Args: slug: Workspace slug thread_slug: Thread slug to delete

Update the name of an existing chat thread.

Args: slug: Workspace slug. thread_slug: Thread slug to update. name: New name for the thread.

Send a message within a specific workspace thread.

Args: slug: Workspace slug thread_slug: Thread slug message: Message to send mode: 'chat' or 'query'

Get chat history for a specific thread in a workspace.

Args: slug: Workspace slug thread_slug: Thread slug

List all uploaded documents across all folders.

Get the list of file types that AnythingLLM accepts for upload.

Scrape a web page and upload it as a document to AnythingLLM.

Args: link: URL to scrape (must start with http:// or https://)

Upload a file from the local filesystem to AnythingLLM.

Args: file_path: Absolute path to the file on the local filesystem.

Upload raw text content as a document to AnythingLLM.

Args: text_content: Raw text content to upload title: Document title

Upload a file from the local filesystem into a specific document folder in AnythingLLM.

Args: file_path: Absolute path to the file on the local filesystem. folder_name: Target folder name in AnythingLLM (must already exist).

List all documents inside a specific folder.

Args: folder_name: Folder name to list documents from.

Get metadata and details for a specific document by its stored name.

The doc_name is the internal document identifier returned by list_documents (e.g. 'custom-documents/myfile.pdf-abc123.json').

Args: doc_name: Document name/path as returned by the documents API.

Get the metadata schema that AnythingLLM uses for documents.

Create a new document folder in AnythingLLM.

Args: name: Name for the new folder.

Permanently delete a document folder and all its contents.

Args: name: Folder name to delete.

Move documents between folders.

Each entry in 'files' must have 'from' and 'to' keys with document paths as returned by list_documents (e.g. 'custom-documents/file.pdf-uuid.json').

Args: files: List of move operations, each with 'from' and 'to' path strings. Example: [{"from": "custom-documents/a.pdf-uuid.json", "to": "custom-documents/my-folder/a.pdf-uuid.json"}]

Embed or un-embed documents in a workspace (equivalent to "Save and Embed" in the UI).

This is the final step after uploading documents to AnythingLLM storage. Typical workflow:

1. Upload a file -> upload_file / upload_file_to_folder / upload_link / upload_raw_text

2. List documents -> list_documents / list_documents_in_folder (get the doc paths)

3. Embed into workspace -> THIS TOOL with 'adds' containing the doc paths from step 2

Once embedded, the document's content is vectorized and available for RAG queries in the workspace. Removing (via 'deletes') un-embeds the document from the workspace but does NOT delete it from storage.

Args: slug: Workspace slug where documents will be embedded. adds: Document paths to embed, as returned by list_documents (e.g. ['custom-documents/Pine Script/file.pine-abc123.json']). deletes: Document paths to un-embed (remove from workspace only, the file remains in AnythingLLM storage).

Pin or unpin a document in a workspace.

Pinned documents are always included in the LLM context for every query, regardless of vector similarity results.

Args: slug: Workspace slug. doc_path: Document path as returned by list_documents (e.g. 'custom-documents/myfile.pdf-abc123.json'). pinned: True to pin, False to unpin.

Search for relevant document chunks within a workspace using vector similarity.

Args: slug: Workspace slug to search in query: Search query top_n: Number of results (1-20, default 4) score_threshold: Similarity score threshold (0-1). Lower = more results.

Get AnythingLLM system settings (LLM provider, vector DB, embeddings, etc.).

Get the total number of vectors stored in the system.

Export all chat logs from all workspaces.

Permanently delete one or more documents from the system.

This removes the documents from AnythingLLM storage entirely. They will also be removed from any workspaces that had them embedded.

Args: names: List of document names/paths as returned by list_documents (e.g. ['custom-documents/myfile.pdf-abc123.json']).

List all embed configurations (public chat widgets).

List available models via the OpenAI-compatible endpoint.