Commit 93b9913
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feat: InferenceParams specific for backend (#126)
* Add provider inference params and adapt services
Introduce IProviderInferenceParams and provider-specific parameter types (LocalInferenceParams, AnthropicParams, OpenAiParams, GeminiParams, GroqCloudParams, DeepSeekParams, OllamaParams, XaiParams). Replace usages of the old InferenceParams with IProviderInferenceParams/LocalInferenceParams across the codebase: Chat now stores ProviderParams (with LocalParams and InferenceGrammar helpers), mappers updated to handle LocalInferenceParams, interfaces and AgentService adjusted to accept IProviderInferenceParams, and tests updated accordingly. LLM and OpenAI-compatible services now apply provider-specific settings (temperature, max_tokens, top_p, etc.) via ApplyProviderParams, and grammar handling was unified to use Chat.InferenceGrammar. Examples updated to pass LocalInferenceParams. These changes enable multi-backend provider support and provider-specific configuration handling.
* Validate provider params and add exception
Introduce InvalidProviderParamsException for clearer bad-request errors when provider params types mismatch. Add an ExpectedParamsType contract to OpenAiCompatibleService and implement it in several providers (Gemini, GroqCloud, Ollama, OpenAi, Xai, DeepSeek). Perform runtime type checks in OpenAiCompatibleService, LLMService (local inference), and AnthropicService to throw the new exception when chat.ProviderParams is the wrong type. Misc: remove TopK from GeminiParams and stop emitting top_k in Gemini requests; preserve Chat.Backend if already set; minor cleanup (pragmas/using/whitespace).
* Add provider params integration tests
Add ProviderParamsTests integration test suite that verifies provider-specific inference parameters for OpenAI, Anthropic, Gemini, DeepSeek, GroqCloud, Xai, local (Gemma2), and Ollama models. Each passing test checks the model returns the expected answer when custom params are supplied; additional negative tests assert InvalidProviderParamsException is thrown when wrong provider params are used. Add Xunit.SkippableFact package reference to enable conditional skipping based on environment (API keys, local model file, or Ollama availability).
* Add ProviderParamsFactory and wire inference params
Introduce ProviderParamsFactory to create IProviderInferenceParams based on BackendType. Update Home.razor to set the backend and inference params on the new chat context (casting to IChatConfigurationBuilder) before preserving message history, ensuring the correct provider settings are applied when switching models. Also simplify ChatService by using the null-coalescing assignment (chat.Backend ??= settings.BackendType) to default the backend.
* Rename provider to backend
* fix: don't send default parameters; Params may vary by model
* Adding additional parameters
* Refactor chat helper and AnhropicService
Centralize message, image and tool handling into ChatHelper and update services to use it. Added ServiceConstants properties for ToolCalls/ToolCallId/ToolName and replaced hardcoded property keys in LLMService/OpenAiCompatibleService with ServiceConstants.Properties. Moved image extraction, message merging and message-array building logic out of Anthropic/OpenAi services into ChatHelper, made BuildAnthropicRequestBody asynchronous and now use ChatHelper.BuildMessagesArray. Removed duplicated helper methods and consolidated image MIME detection and message content construction.
* post merge fixes
* versioning1 parent e65a512 commit 93b9913
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lines changed- Examples/Examples/Chat
- MaIN.Core.IntegrationTests
- Releases
- src
- MaIN.Core.UnitTests
- MaIN.Core
- Hub/Contexts
- Interfaces
- AgentContext
- ChatContext
- MaIN.Domain
- Configuration/BackendInferenceParams
- Entities
- Exceptions
- MaIN.InferPage/Components/Pages
- MaIN.Infrastructure/Mappers
- MaIN.Services
- Constants
- Services
- Abstract
- LLMService
- Utils
- Steps
- Commands
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