Roo Bedrock Custom Arn

Community

OnlyTerp

roo-bedrock-custom-arn

Roo Code's Bedrock provider silently disables caching for custom ARNs. Populate cachableFields to fix.

Overview

Publisher	OnlyTerp
Repository	`prompt-cache-skills`
Skill name	`roo-bedrock-custom-arn`
Stars	116
Forks	10
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by OnlyTerp on GitHub. Read the source before you install it.

Installation

Install the Roo Bedrock Custom Arn AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/OnlyTerp/prompt-cache-skills/tree/main/skills/roo-bedrock-custom-arn
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/OnlyTerp/prompt-cache-skills.git /tmp/prompt-cache-skills
mkdir -p .claude/skills
cp -r /tmp/prompt-cache-skills/skills/roo-bedrock-custom-arn .claude/skills/roo-bedrock-custom-arn

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Roo Bedrock Custom Arn in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Roo Bedrock Custom Arn on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Roo Bedrock Custom Arn is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Roo Code: Bedrock custom ARN caching (#11983)

Target

src/api/providers/bedrock.ts → guessModelInfoFromId() in RooCodeInc/Roo-Code.

Tracked upstream as issue #11983; PR #11984 proposes a fix but status uncertain at audit time.

Symptom

When a user configures Bedrock with a custom ARN instead of one of Roo's hardcoded model IDs, guessModelInfoFromId() returns { supportsPromptCache: true } but omits cachableFields. Downstream the Bedrock provider checks for cachableFields and skips caching entirely when empty. Net effect: silent 0% cache hit on custom ARNs.

Users hit this when:

Routing through a Bedrock-hosted Claude model with non-standard ARN
Using cross-region inference profiles
Provisioned throughput ARNs

Fix

diff
--- a/src/api/providers/bedrock.ts
+++ b/src/api/providers/bedrock.ts
@@ guessModelInfoFromId(modelId: string)
   if (/* claude pattern match */) {
-    return { supportsPromptCache: true }
+    return {
+      supportsPromptCache: true,
+      cachableFields: ["system", "messages", "tools"],
+    }
   }

Apply this to every branch in guessModelInfoFromId() that returns supportsPromptCache: true without populating cachableFields.

If PR #11984 is already merged at apply time, verify the fix matches this shape and skip the diff.

Verify

Configure Roo with a custom Claude ARN (any ARN not in the declared model list).
Enable prompt caching in Roo settings.
Capture wire via mitmproxy.
Inspect outbound Bedrock Converse API request body:
- Before fix: no cachePoint markers anywhere in the request
- After fix: cachePoint: { type: "default" } blocks on system and last stable message
Inspect response usage:
- cacheWriteInputTokenCount > 0 on cold turn
- cacheReadInputTokenCount > 0 on warm turn

Background

Bedrock's Converse API uses a different field name (cachePoint) than direct Anthropic (cache_control). Roo handles the translation correctly for declared models but the custom-ARN detection path is incomplete.

See docs/concepts/bedrock.md. Full audit: audits/roo-code.md.

Frequently asked questions

What does the Roo Bedrock Custom Arn AI skill do?

Roo Code's Bedrock provider silently disables caching for custom ARNs. Populate cachableFields to fix.

Why use Roo Bedrock Custom Arn on TypingMind?

Because you install it once and use it with any model. Roo Bedrock Custom Arn is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Roo Bedrock Custom Arn in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OnlyTerp/prompt-cache-skills/tree/main/skills/roo-bedrock-custom-arn. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Roo Bedrock Custom Arn?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Roo Bedrock Custom Arn?

As many as you like. As long as a model supports skills, you can use Roo Bedrock Custom Arn with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Roo Bedrock Custom Arn AI skill free?

It is published on GitHub by OnlyTerp. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Agent Transcript

Requested GitHub PR/issue agent transcripts: redact, trim, preview, and insert safely.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Roo Code: Bedrock custom ARN caching (#11983)

Target

Symptom

Fix

Verify

Background

Frequently asked questions

Related AI Skills

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