Built by Metorial, the integration platform for agentic AI.
Retrieve detailed information about a specific assistant by its ID. Returns the assistant's configuration including connected knowledge bases, rulesets, tools, and structures.
Create, update, retrieve, list, or delete rulesets and their individual rules. Rulesets group rules that steer LLM behavior and can be associated with Assistants and Structures. This tool handles both rulesets and rules in a single interface.
Create, retrieve, update, delete, or list messages within a conversation thread. Messages represent input/output pairs in the conversation memory, used by Assistants and Structures for multi-turn context.
Query or search a Griptape Cloud Knowledge Base using natural language. Knowledge Bases are collections of Data Sources that your LLM-powered applications can retrieve information from using RAG (Retrieval-Augmented Generation). Use "query" for LLM-processed answers or "search" for raw document retrieval.
List all deployed structures in your Griptape Cloud organization. Structures are custom Python components—pipelines, workflows, or agents—that can be triggered remotely.
Create, list, retrieve, or delete Data Lake buckets in Griptape Cloud. Buckets provide cloud storage for staging and integrating external data (PDFs, text files, etc.) with your AI applications. Also supports listing and deleting assets within a bucket.
List all retrievers in your Griptape Cloud organization. Retrievers provide RAG capabilities across multiple Knowledge Bases with reranking support.
Execute an activity on a Griptape Cloud Tool. Tools extend LLM capabilities to interact with third-party services, APIs, search, and utilities. Each tool exposes named activities as HTTP POST endpoints that can be invoked with custom input.
Trigger a refresh job for a knowledge base, list existing jobs, or check the status of a specific job. Jobs ingest and process data from connected data sources into the knowledge base.
List all assistants in your Griptape Cloud organization. Returns paginated results with assistant details including their connected knowledge bases, rulesets, tools, and structures.
List all knowledge bases in your Griptape Cloud organization. Knowledge Bases are collections of Data Sources that provide RAG capabilities for your AI applications.
Create and manage runs against a Griptape Cloud assistant. Start a new run with an input prompt, optionally within a thread for conversation continuity. Can also retrieve run status, list runs, or cancel a running execution.
List all data connectors (data sources) in your Griptape Cloud organization. Data connectors bring external data into Griptape Cloud from sources like web pages, S3, Google Drive, Confluence, and more.
Query a Griptape Cloud Retriever for RAG (Retrieval-Augmented Generation) results. Retrievers support queries across multiple Knowledge Bases with reranking, providing a unified search interface over your data.
Create, update, or delete an Assistant in Griptape Cloud. Assistants are chat applications that can be connected to knowledge bases, rulesets, tools, and structures. Use this to configure and manage the lifecycle of your assistants.
Create, update, retrieve, list, or delete conversation threads in Griptape Cloud. Threads maintain conversation state and context for Assistants and Structures, enabling multi-turn interactions.
Create, monitor, and manage structure runs on Griptape Cloud. Structures are custom Python components—pipelines, workflows, or agents—deployed and executed remotely. Use this to trigger new runs, check their status and output, list historical runs, retrieve logs, or cancel active executions.
List all tools available in your Griptape Cloud organization. Tools extend LLM capabilities by providing access to third-party services, APIs, search, calculators, RAG, and more.