Releases · google-gemini/generative-ai-dart

Add support for model side Code Execution. Enable code execution by
configuring Tools with a codeExecution argument.
Use a default role 'model' when a chat response comes back with no role.

Add support for GenerationConfig.responseSchema for constraining JSON mime
type output formats.
Require Dart 3.1.

Concatenate multiple TextPart into the text String in case the model
replies with more than one part.
Fix handling of format argument to Schema.number and Schema.integer.
Export UsageMetadata.
Include the full GenerateContentRequest (previously omitted
safetySettings, generationConfig, tools, toolConfig, and
systemInstruction) in countTokens requests. This aligns the token count
with the token count the backend will see in practice for a
generateContent request.
Add a text getter on Candidate to make it easer to retrieve the text from
candidates other than the first in a response.

Add support for parsing Vertex AI specific fields in CountTokensResponse.
Add named constructors on Schema for each value type.
Add GenerationConfig.responseMimeType which supports setting
'application/json' to force the model to reply with JSON parseable output.
Add outputDimensionality argument support for embedContent and
batchEmbedContent.
Add Content.functionResponses utility to reply to multiple function calls in
parallel.
Breaking The Part class is no longer sealed. Exhaustive switches over
a Part instance will need to add a wildcard case.

Add support on content generating methods for overriding "tools" passed when
the generative model was instantiated.
Add support for forcing the model to use or not use function calls to generate
content.

Fix an issue parsing generateContent() responses that do not include content (this can occur for some finishReasons).
Fix an issue parsing generateContent() responses that include citation sources with unpopulated fields
Add link to ai.google.dev docs.

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