Tools #Anthropic#AI agents Oct 21, 2026 · Originally published Oct 19

Amazon Bedrock adds structured outputs for all Claude models: JSON Schema output and strict tool use

Constrained decoding enforces the schema during generation, so calling Claude on Bedrock no longer needs custom parsing and retries.

Primary source AWS Machine Learning Blog · aws.amazon.com Read the original ↗

// Key points

  • Structured outputs work for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints, where the model is available.
  • Two mechanisms: JSON Schema output format controls the response structure, and strict tool use validates tool parameters against schemas.
  • It works with batch inference, with cross-Region inference on bedrock-runtime, and can stream structured responses as typed events.
  • Responses contain only the fields the schema defines, which cuts output tokens and can lower cost for high-volume workloads.

Builder's takeTeams on Bedrock can finally delete the retry-on-parse-failure glue. File metadata extraction in AI Cloud Drive is exactly this case; I'll tighten the schema to required fields only, then compare output tokens and failure rate. Constrained decoding guarantees format, not correctness, so keep sampling the results.

// Background · from #Anthropic

Full timeline →
  1. Oct 21 Inference hooks leave beta for Claude Enterprise: governed prompts wait for the organization's own AI security server
  2. Oct 19 Anthropic publishes its own employment data: by August, interactive AI agent hours outnumbered employees six to one, and junior technical hiring shrank as a share
  3. Oct 19 Anthropic sets up a Public Benefit Fund with 5% of its shares, subject to stockholder approval, plus 2% more for every 50% rise in value above a baseline