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Bedrock Automated Reasoning: Your guardrails can tell you an answer is safe. They cannot tell you it is right.
Solution git repo A customer files a claim after a collision and asks your insurance assistant chatbot what their deductible is. It replies: Your deductible for the collision claim is $50. Read that answer the way a guardrail reads it. No profanity. No PII. No prompt injection. On topic, politely worded, correctly formatted, appropriately brief.…
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Your prompts are production code. Stop shipping them like config.
Every serious engineering org has spent a long time building the machinery to ship code safely: canaries, feature flags, automatic rollback, error budgets. Then we started putting language models in the critical path, and quietly went back to deploying by vibes. Solution git repo We solved this problem already, for everything except prompts Ask any…
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Self-Learning Prompt Router for Bedrock: Route Smarter, Save More
How a lightweight, open prompt router cuts LLM costs by sending easy questions to cheap models, escalating only when needed, and training itself to route better over time. Solution github The problem: every prompt pays the premium price If you run an application on large language models, you have probably noticed something uncomfortable in your…
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Monitoring Amazon Bedrock: find out before your users do
LLM features need everything a normal API needs, plus a second layer: time to first token, variable per-request cost, and failure modes that don’t look like 500s. Here’s a runnable CloudWatch reference implementation for Amazon Bedrock.