Reuse stable prompt content with caching
Keep reusable instructions available across repeated calls when the prompt portion stays the same.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Prompt Caching
Why this helps
Repeatedly sending the same long instructions can add avoidable processing time and cost to recurring work.
- Reuses prompt content that remains static across calls
- Can reduce cost and latency for eligible repeated content
- Keeps changing task inputs separate from stable instructions
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Anthropic administrator once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis what you want from any channel.
- 3In one instruction, ask Notis to cache the static prompt portion you provide for repeated calls and reuse it where appropriate.
- 4Choose the webhook trigger and where run reports should go.
- 5Test with one real repeated prompt scenario.
Questions about this workflow
What content should be cached?
Only prompt content that is stable and intended to be reused. Keep per-request or changing information outside the cached portion.
Does caching guarantee lower costs?
No. The action is intended to reduce cost and latency when reusable prompt content and the request pattern are suitable.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Anthropic administrator. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Anthropic administrator actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create Message
Create a response based on a conversation.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Ai ml api and Anthropic administrator, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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