instructor_dart 0.2.2

Typed, validated structured outputs from LLMs. Build a JSON Schema in plain Dart, with validation and repair retries. Adapters for OpenAI, Anthropic and Gemini.

0.2.2

• Declare the diagram in pubspec.yaml so pub.dev renders it on the package page. It was already in the repository and the README, but pub.dev shows only what the screenshots: field points at.

0.2.1

• Shorten the pub.dev description back under the 180-character limit. The previous release grew it past that, which costs the "valid pubspec" points and truncates the text search engines show.

0.2.0

• Add GeminiAdapter for the Gemini API's generateContent, completing the three major providers. The schema is sent as a function declaration and forced with functionCallingConfig.mode: "ANY". Two Gemini-specific shapes are handled: contents only accepts the user and model roles, so an assistant message is sent as model, and system text goes in the top-level systemInstruction rather than being a message. The API key is sent in the x-goog-api-key header instead of the key query parameter, so it stays out of URLs and logs.

0.1.2

• Docs: tightened the README wording and visuals.

0.1.1

• Expand the package description to name what the package does in the words people search for. No code changes.

0.1.0

Initial release.

• Plain-Dart schema builder rendering to JSON Schema: objects, strings, integers, numbers, booleans, enums, lists, nesting, optional properties, length/range/pattern constraints.
• Local validation with JSONPath-style violation reporting.
• Instructor.extract / extractRaw with an automatic repair loop that feeds validation errors back to the model.
• OpenAIAdapter for OpenAI and OpenAI-compatible servers (Ollama, LM Studio, vLLM, OpenRouter), using forced tool calls.
• AnthropicAdapter for the Anthropic Messages API, using forced tool use.
• ExtractionException with full attempt history.