Previously, required fields were not handled in OpenAI and Google parameter generation. This update adds logic to include a "required" list for both, ensuring mandatory fields are accurately captured in the schema outputs.
This update introduces support for `jsonschema.Integer` types and updates the logic to handle nested items in schemas. Added a new default error log for unknown types using `slog.Error`. Also, integrated tool configuration with a `FunctionCallingConfig` when `dontRequireTool` is false.
This update introduces support for `jsonschema.Integer` types and updates the logic to handle nested items in schemas. Added a new default error log for unknown types using `slog.Error`. Also, integrated tool configuration with a `FunctionCallingConfig` when `dontRequireTool` is false.
Updated the return type of functions and related code from `string` to `any` to improve flexibility and support more diverse outputs. Adjusted function implementations, signatures, and handling of results accordingly.
Introduced `WithFunctionRemoved` and `ExecuteCallbacks` methods to enhance `ToolBox` functionality. This allows dynamic function removal and execution of custom callbacks during tool call processing. Also cleaned up logging and improved handling for required tools in `openai.go`.
Introduce `Response()` and `ToolCall()` methods to access the respective fields from the `Context` struct. This enhances encapsulation and provides a standardized way to retrieve these values.
Previously, OpenAI messages containing both `Content` and `MultiContent` could cause inconsistent behavior. This update ensures `Content` is converted into a `MultiContent` entry to maintain compatibility.
Previously, execution errors were only returned in the refusal field. This update appends errors to the result field if present, ensuring they are included in the tool's output. This change improves visibility and clarity for error reporting.
Simplified how responses and tool calls are appended to conversations. Adjusted structure in message formatting to better align with tool call requirements, ensuring consistent data representation.
Enhanced the `requestToChatHistory` method to include OpenAI schema conversion logic and integrate tools with generative AI schemas. This change improves flexibility when working with different schema types and tool definitions. Adjusted response handling to return a modified model alongside chat sessions and parts.
Replace message handling with a chat session model, aligning the logic with new API requirements. Adjust functions to properly build chat history and send messages via chat sessions, improving compatibility and extensibility.
Implemented a nil check for Toolbox to prevent potential nil pointer dereferences. Cleaned up and reorganized code for better readability and maintainability while keeping placeholder functionality intact.
Anthropic API does not support assistants sending images directly, so the role is adjusted to "user" for such messages. This ensures compatibility and prevents errors when processing image messages.
Modify `FunctionCall` struct to handle arguments as strings. Add debugging logs to facilitate error tracing and improve JSON unmarshalling in various functions.
