
Griptape
Your business runs specialized AI assistants on Griptape Cloud. Now your customer-facing agent can trigger those assistants mid-conversation, fetch results, and deliver answers built on your custom knowledge bases and rulesets, all without engineering involvement.




Manage assistants, trigger runs, retrieve results, and enforce rulesets through your Tars AI agent, turning Griptape Cloud into a conversational backend.
Griptape
Discover how teams use conversational AI to manage Griptape Cloud assistants, trigger specialized knowledge runs, and deliver expert answers to customers.
A customer asks a nuanced technical question about your product's enterprise compliance features. Your Tars AI Agent identifies the topic, triggers a run on your Griptape compliance assistant pre-loaded with your security documentation and SOC 2 reports, then streams back a detailed, accurate response. The customer gets expert-level answers instantly, and your compliance team avoids repetitive inquiries.
A manager messages your internal bot requesting last quarter's performance summary. Your AI Agent creates a new run on Griptape's analytics assistant with the relevant knowledge bases attached, waits for completion, and delivers the formatted summary. Reports that took hours to compile are now generated within a single conversation exchange.
A developer wants to deploy a new data-processing tool to Griptape Cloud. They message the agent with the GitHub repo URL. The agent registers the tool, monitors deployment status until completion, and confirms the tool is live and ready to attach to assistants. No tickets filed, no DevOps intervention.

Griptape
FAQs
You configure routing logic in your agent's gambit. Based on the customer's question topic, keywords, or intent classification, the agent selects the appropriate Griptape assistant by alias or ID. For example, billing questions route to your finance assistant, while technical questions route to your engineering assistant.
Yes. The assistant run creation endpoint accepts additional_knowledge_base_ids and knowledge_base_ids parameters. Your agent can dynamically select which knowledge bases to include based on conversation context, giving the Griptape assistant access to exactly the right information.
The agent detects failure status when polling the run. It then calls the error details endpoint to retrieve the specific failure reason. Depending on your configuration, it can retry the run automatically, escalate to a human operator, or inform the customer that the request is being handled manually.
No. Tars fetches run results in real time and uses them only to formulate the current response. The assistant's output stays in Griptape Cloud. Tars does not maintain a separate copy of your AI-generated content or knowledge base data.
Yes. Your agent can create and manage rulesets on Griptape Cloud, then attach them to runs. Rulesets control response tone, content boundaries, and compliance requirements. Every run inherits the latest rules without manual intervention.
Griptape Cloud provides managed assistants with persistent knowledge bases, rulesets, tool attachments, and run history. Direct LLM calls lack this infrastructure. Tars plus Griptape gives you governed, knowledge-aware AI responses rather than raw model outputs.
Yes. The integration supports the assistant run events stream endpoint. Your agent can subscribe to real-time events for a running job and relay progress updates to the customer, keeping them informed during longer processing tasks.
Any Griptape Cloud plan that provides API access works with Tars. You need a valid Griptape Cloud API key with permissions to create assistants, initiate runs, and manage tools. Check Griptape's documentation for the specific plan features that match your usage volume.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.