llm_tool_calling 0.4.0

Turn Dart functions into LLM tools for OpenAI, Gemini and Claude. Annotate with @Tool to generate the JSON schema, argument validation and type-safe dispatch.

0.4.0

• withoutAdditionalProperties(schema): a copy of a schema for SDKs that send it to Gemini's older parameters field, which rejects additionalProperties.
• Tool names are documented as up to 63 characters (the firebase_ai limit).
• README: "Use with your SDK" section, with the new llm_tool_calling_firebase_ai adapter.

0.3.0

• No code changes. Released together with llm_tool_calling_generator 0.3.0, which generates a list of all tools in each file.
• README: the list of all tools, and an author section.

0.2.0

• validateArguments() checks nested objects (fields with properties), reporting paths like booking.passengers[0].age is required.
• validateArguments() checks every item of an array against items, reporting paths like tags[2] and grid[1][0].
• validateArguments() checks enum lists and reports the allowed values, e.g. unit must be one of "celsius", "fahrenheit", got "kelvin".

0.1.0

• Initial release.
• @Tool and @Param annotations.
• ToolDefinition with name, description, JSON schema, requiresConfirmation and call(), which validates arguments before running the tool.
• validateArguments(): checks required, unknown and wrongly typed arguments and reports every problem at once. Whole numbers sent as 5.0 are accepted for integer.
• ToolArgumentException with a message an LLM can use to fix its call.