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Showing 7 resources for "structured-output"
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Select entries to compare install and trust signals side by side.

Trust snapshot

7 results in this view

Claimed
0%(0/7)

2 trust signals differ in this sample: Source provenance, Submitter

Signals differ on Source provenance, Submitter — add entries to compare before you install.

Rollout signal scan

3 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

7 scanned

Install payload

Install payload is sparse; verify before rollout decisions.

risk

14% (1/7)

Adoption queue

Browse adoption queue · balanced

6/7 visible results are in hold tier and need mitigation before adoption.

ready 0caution 1hold 6
caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

guides/structured-output-from-claude-agent-sdk-workflows · trust review · confidence 67%

Atomic Agents

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/atomic-agents · trust review · confidence 50%

BAML

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/baml · trust review · confidence 50%

Instructor

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/instructor · trust review · confidence 50%

Marvin

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/marvin · trust review · confidence 50%

Outlines

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/outlines · trust review · confidence 50%

Pydantic AI

2 blockers: Metadata review, Install payload

hold

36/100

Request metadata review from maintainers or internal owners.

Add install/config payload for reproducible team rollout.

Collect package checksum or signed artifact information.

tools/pydantic-ai · trust review · confidence 50%

Decision confidence

Decision confidence scan · balanced

6/7 results are low-confidence and need review before adoption.

high 0medium 1low 6

Structured Output from Claude Agent SDK Workflows

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

guides/structured-output-from-claude-agent-sdk-workflows · trust review

Atomic Agents

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/atomic-agents · trust review

BAML

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/baml · trust review

Instructor

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/instructor · trust review

Marvin

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/marvin · trust review

Outlines

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/outlines · trust review

Pydantic AI

Hold adoption until Metadata review, Package integrity are resolved.

low

36/100

Missing: Metadata reviewMissing: Package integrityMissing: Install payload

tools/pydantic-ai · trust review

Freshness distribution

Current results are broadly fresh

Median age 19 days; all 7 scanned entries are within 90 days.

median 19d

Aging

91–180 days

0%

0 entries

Stale

> 180 days

0%

0 entries

Theme distribution

Results center on structured-output

100% of this view shares the top theme. Leading themes: structured-output, agents, python.

Focused

16 distinct themes across 7 scanned

A practical walkthrough of structured outputs in the Claude Agent SDK: defining a JSON Schema via the outputFormat option, reading validated structured_output, type-safe schemas with Zod or Pydantic, and handling validation failures.

Atomic Agents logo
Atomic Agentsby Eigenwise · submitted by davion-knight

Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.

BAML logo
BAMLby BoundaryML · submitted by davion-knight

Open-source domain-specific language from BoundaryML for writing typed LLM functions with structured inputs and outputs, a VSCode playground, and generated clients you can call from Python, TypeScript, Go, and more.

Marvin logo
Marvinby PrefectHQ · submitted by davion-knight

Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.

Outlines logo
Outlinesby dottxt-ai · submitted by davion-knight

Open-source Python library from dottxt for structured LLM generation, guaranteeing outputs that match a JSON schema, Pydantic model, regex, grammar, or multiple-choice set during generation across many model backends.

Instructor logo
Instructorby 567 Labs · submitted by oktofeesh1

Open-source Python library for structured LLM outputs using Pydantic response models, validation, retries, streaming, and provider adapters.

Pydantic AI logo
Pydantic AIby Pydantic · submitted by oktofeesh1

Python agent framework from the Pydantic team for type-safe GenAI apps, tools, structured outputs, MCP, evals, and durable workflows.