flutter_ai_core 0.1.5

Dependency-free Dart foundation for AI chat: message and conversation models, a streaming MessageProcessor with granular mutations, and the provider and renderer contracts the rest of the flutter_ai f [...]

Changelog

0.1.5

• AiRequestOptions.cachePrompt: hint that the stable prompt prefix (system + tools) should be cached. Anthropic applies cache_control; OpenAI/Gemini cache automatically (no-op).

0.1.4

• AiResponseFormat (+ AiRequestOptions.responseFormat): request structured output constrained to a JSON schema. Providers route it to their native mechanism; the assistant's text is the JSON object.

0.1.3

• AiUsage model (input/output/cached/reasoning/total tokens) with + to accumulate and estimateCost(...) for cost from per-million prices. Carried on MessageFinished and stored on the completed AiMessage; the processor applies it on finish.

0.1.2

• Docs: added a "Buy me a coffee" (Ko-fi) support section to the README. No code changes.

0.1.1

Bug fixes in MessageProcessor:

• Zero-argument tool calls (a ToolCallReady with no streamed arguments) now resolve to empty args + inputAvailable instead of being marked errored.
• A ToolResultReceived whose messageId differs from the call's message (the normal case — results arrive in a separate tool-role message) now correctly advances the original call to outputAvailable.
• A tool-scoped StreamErrorEvent (with toolCallId) now marks only that call errored and lets generation continue, instead of failing the whole message — matching UseChatController.
• Doc fix: corrected a stale reference to flutter_markdown_plus.
• JsonAccumulator no longer surfaces an unterminated trailing number/keyword (e.g. 1234 from {"n": 1234) as a complete value — a literal must be delimiter-terminated, preserving the "a partial is always a prefix" contract.
• MessageProcessor resolves a tool result to its owning call by scanning the conversation when the in-memory map misses (after reset()/rehydration).
• deepHash uses order-independent hashing for maps (better distribution).

0.1.0

Initial release.

• Models: AiConversation, AiMessage, AiMessageStatus, AiRole, FinishReason, and the sealed AiPart hierarchy (TextPart, ReasoningPart, ToolCallPart, ToolResultPart, FilePart, SourcePart, DataPart) with manual JSON serialization and value equality.
• Streaming: sealed AiStreamEvent set, MessageProcessor reducer with granular MutationResults, and the tolerant JsonAccumulator for partial tool-call arguments.
• Contracts: LlmProvider, TextRenderer, AiRequestOptions, ToolDefinition.
• Zero runtime dependencies (dart:core + dart:convert only).