Langbase
20 actions for Langbase workflows.
Operations are the actions a workflow can take in Langbase, grouped by category. Each lists its method, parameters, and a template you can drop it into.
Break down large text or documents into smaller, manageable pieces for processing. Use this when you need to split content into chunks before feeding it to language models or storing it in a vector database for semantic search.
Split Content into Chunks
LANGBASE_CHUNKER_SPLIT_CONTENTBreaks down large text documents into smaller, manageable chunks that fit within system limits, making it easier to process lengthy content like articles, reports, or customer feedback through AI tools.
Retrieve and manage documents stored within your Langbase memory system. Access this to view what documents are available in your memory namespace for retrieval-augmented generation workflows.
List Documents in Memory
LANGBASE_DOCUMENT_LISTRetrieve a list of documents stored in a specific memory, including their metadata and optional vector information. Use this to view what content you have stored and manage your knowledge base effectively.
Verify the operational status and availability of the Langbase API. Check this endpoint at the start of your workflow to ensure the service is running before proceeding with other operations.
Check API Health
LANGBASE_CHECK_HEALTHVerify that the Langbase API service is operational and accessible before running critical workflows or integrations. This helps you diagnose connectivity issues and ensure your AI applications can function properly.
Manage knowledge stores and semantic memory across your workflows by creating, listing, and deleting memory collections. Use these operations to maintain persistent knowledge bases that your pipes and applications can query for context-aware responses.
Create Memory
LANGBASE_MEMORY_CREATEStore new information in Langbase's memory system to build a persistent knowledge base that your AI applications can reference in future conversations and interactions.
Delete Memory
LANGBASE_MEMORY_DELETEPermanently remove a stored memory from your Langbase instance by its name. Use this when you need to clean up outdated information or correct mistaken entries.
List Memories
LANGBASE_MEMORY_LISTRetrieve all stored memories from your knowledge base to access previously saved information and context for your conversations or applications.
Handle individual messages within conversation threads by creating, retrieving, updating, and removing them. These operations let you maintain full control over conversation history and message content in multi-turn chat workflows.
Append Thread Messages
LANGBASE_APPEND_THREAD_MESSAGESAdd new messages to an existing conversation thread to continue ongoing discussions or build context in a chat session.
Delete Thread Message
LANGBASE_DELETE_THREAD_MESSAGERemoves a specific message from a conversation thread, allowing you to clean up mistakes, sensitive information, or irrelevant content from your chat history.
List Thread Messages
LANGBASE_LIST_THREAD_MESSAGESRetrieves all messages from a conversation thread to review the full discussion history and context. This helps you track conversations, audit interactions, and reference past communications.
Update Thread Message
LANGBASE_UPDATE_THREAD_MESSAGEModify the content or details of a message you've already sent in a conversation thread, allowing you to correct errors or update information without losing the conversation context.
Discover which language models are available for use in your Langbase workspace. Check this to see the models you can reference when building pipes or making API calls.
List Available Models
LANGBASE_LIST_MODELSDiscover all AI models available through Langbase to understand which text and image generation options you can use for your projects.
Create, configure, retrieve, and modify the processing pipelines that define how your data flows through Langbase. Use these to build and manage reusable AI workflows that combine prompts, models, and memory into executable units.
Create a new pipe
LANGBASE_PIPE_CREATECreates a new pipe with the specified configuration and returns the API key and URL needed to use it. Use this to set up a new communication channel or workflow automation in your Langbase project.
List all pipes
LANGBASE_PIPE_LISTRetrieve a complete list of all your AI pipes to view what automation workflows and conversational systems you have set up. This helps you manage, monitor, and organize your available AI solutions in one place.
Get Pipe Details
LANGBASE_GET_PIPERetrieves the complete configuration and settings for a specific pipe, including its parameters, integrations, and workflow setup. Use this when you need to review or audit how a particular pipe is configured.
Update an existing pipe
LANGBASE_UPDATE_PIPEModify an existing pipe's configuration including model settings, parameters, prompts, tools, or memory. This lets you refine and optimize your AI automation workflows without creating new pipes.
Establish and manage conversation threads that maintain context across multiple message exchanges. Create threads to start new conversations, update metadata for organization, retrieve thread details for context, or delete threads when conversations are complete.
Create Thread
LANGBASE_CREATE_THREADStart a new conversation thread to organize and manage separate chat sessions with your users or customers. Each thread keeps messages grouped and isolated for better conversation management.
Delete Thread
LANGBASE_DELETE_THREADPermanently remove a conversation thread from your Langbase instance to clean up and manage your conversation history. Use this when you no longer need to retain discussion threads.
Get Thread Details
LANGBASE_GET_THREADRetrieve comprehensive details about a specific conversation thread, including all messages and metadata. This helps you review past conversations, access customer inquiries, or pull complete communication history for reference.
Update Thread Metadata
LANGBASE_UPDATE_THREADUpdate metadata fields for conversation threads to keep your discussions organized and labeled with relevant information like topics, status, or priority.
Review execution logs and performance traces from your pipes and API calls. Access this to debug workflow issues, monitor performance, and understand how your operations processed data.
List Execution Traces
LANGBASE_LIST_TRACESRetrieve execution traces from your Langbase pipes to monitor performance and troubleshoot issues when things aren't working as expected. This helps you understand what happened during each run and identify bottlenecks or errors.
Drop a trigger and an action into a template; approve from your phone; the workflow runs.