- Added OpenRouterModelDiscovery class for managing model listings and metadata resolution.
- Introduced OpenRouterModelEndpointsResponse and OpenRouterModelsResponse classes for handling API responses.
- Created OpenRouterModelQuery class to encapsulate query parameters for model listing.
- Updated ModelProfile to include OPENROUTER as a model provider.
- Enhanced ModelProfileService to handle default values for maxTokens and maxContextLength.
- Added OpenRouterClientTest for testing model discovery and chat completion functionalities.
- Configured application-test.properties and local-openrouter-chatcompletion.properties for OpenRouter integration.
- Added OllamaClient to handle conversations with the Ollama API.
- Introduced OllamaDialect for managing thinking modes.
- Created data classes: OllamaFunctionCall, OllamaListedModel, OllamaMessage, OllamaShowRequest, OllamaShowResponse, OllamaTagsResponse, OllamaToolCall, OllamaToolDefinition, and OllamaToolFunction for structured API communication.
- Developed unit tests for OllamaClient to validate model listing, chat completion, streaming responses, and tool calling capabilities.
- Configured test properties for local Ollama instance.
- Refactored OpenAiProviderDialect to include methods for managing chat token limits and reasoning effort.
- Updated ChatCompletionClient and AbstractCompletionClient to utilize the new dialect methods for request shaping.
- Modified ChatCompletionRequest to replace reasoning properties with a single reasoningEffort field.
- Adjusted tests to reflect changes in request handling and dialect behavior.
- Updated README to clarify the new request shaping capabilities and defaults.
- Added OpenAiProviderDialect to manage request features for OpenAI-compatible providers.
- Refactored ChatCompletionClient and TextCompletionClient to utilize the new dialect for handling reasoning and usage settings.
- Removed reasoningEffort and reasoningSummaryDetails from ModelProfile and related services.
- Updated README to reflect changes in request shaping and dialect usage.
- Added support for tools in ChatCompletionRequest, including tool choice and parallel tool calls.
- Introduced ChatCompletionTool and ChatCompletionFunction classes to define tool specifications.
- Updated ChatMessage to include tool calls and tool call IDs.
- Created ChatToolCall and ChatToolFunction classes for managing tool call details.
- Modified TextCompletionClient to support tool calling.
- Updated Grader and Grader2 classes to handle new tool-related logic.
- Enhanced Agent and AgentTest classes to incorporate tool calling in agent workflows.
- Added tests for tool calling functionality in CachedClientTest and CompletionClientTest.
- Introduced auto-configuration classes for profile, client, agent, and prompt modules.
- Updated README to reflect new modular architecture and configuration properties.
- Added selective enabling/disabling of modules via application properties.
- Refactored existing services and strategies to remove unnecessary Spring annotations.
- Enhanced test configurations to utilize auto-configuration.
- Updated META-INF imports to include new auto-configuration classes.
- Updated model profile to support new cost parameters: costPerCachedInToken and costPerReasoningOutToken.
- Enhanced AgentRequestStatistic to track cached input tokens and reasoning output tokens.
- Modified CompletionStatistics to include cached input tokens and reasoning output tokens.
- Updated AzureAiClient, CachedClient, and other clients to handle new statistics fields.
- Introduced Timings class to capture detailed timing metrics for requests.
- Adjusted Usage class to include input and output token details.
- Updated properties files to include new cost parameters for cached and reasoning tokens.
- Added ModelProfile to the Agent record to allow for more detailed model configurations.
- Updated AgentExecutorService to utilize ModelProfile when fetching clients.
- Modified BaseAgent interface to include a default modelProfile method.
- Adjusted Client interface and implementations to support ModelProfile in conversation and streaming methods.
- Enhanced ClientService to retrieve clients based on ModelProfile.
- Updated CompletionInterceptor to work with ModelProfile instead of ModelCategory.
- Refactored AzureAiClient and other client implementations to handle ModelProfile correctly.
- Changed CachedClient to cache responses based on ModelProfile.
- Updated ModelCategory to a record type for better validation and immutability.
- Enhanced ModelProfile with validation checks for its fields.
- Updated ModelProfileService to support fetching profiles based on ModelCategory.
- Adjusted tests to accommodate changes in Agent and ModelProfile.
- Updated properties files to include category information for model profiles.
- Added AbstractCompletionRequest and AbstractCompletionResponse classes to standardize request and response structures.
- Implemented StreamOptions for streaming responses in chat completions.
- Enhanced ChatCompletionClient and TextCompletionClient to support reasoning content in responses.
- Updated ModelProfile to include reasoning effort and summary details.
- Created GptOssPromptStrategy to handle specific prompt formatting and reasoning extraction.
- Modified existing tests to validate reasoning content in completions.
- Updated configuration properties for reasoning settings in local properties files.
