[1.5.3] - 2026-04-19
[1.5.3] - 2026-04-19
Added
-
Multi-provider LLM support (
engine/llm_providers.py):AbstractLLMProvider
ABC + 4 concrete implementations +create_llm_provider()factory.Provider Class Install extra Google Gemini GeminiProvider[google](existing)OpenAI ChatGPT OpenAIProvider[openai]Anthropic Claude AnthropicProvider[anthropic]Ollama local OllamaProvider[ollama]OpenAI-compatible OpenAIProvider+base_url[openai] -
Local model support via Ollama (
OllamaProvider): zero API key required.
Tested models:gemma4:27b,gemma4:4b,gemma4:2b(128K/256K ctx, Apache-2.0),
qwen2.5:7b/14b/32b,mistral,llama3.2. Streaming via/api/generate. -
OpenAI-compatible endpoint routing:
openai_compatible/kimi/vllm/
lmstudioall map toOpenAIProviderwith custombase_url.
Example: Kimi —OPENAI_BASE_URL=https://api.moonshot.cn/v1. -
Provider-RAG mode in
core.py: for non-Gemini providers,search()runs
local semantic retrieval (ChronosGrid) →_build_rag_prompt()→ LLM answer.
search_stream()callsprovider.stream()for token-by-token output. -
New
Configfields:llm_provider(str, default"gemini")openai_api_key,anthropic_api_key(auto-loaded from env)ollama_base_url(defaulthttp://localhost:11434)local_model(defaultgemma4:27b)openai_base_url(for compatible endpoints)
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New env vars:
LLM_PROVIDER,OPENAI_API_KEY,ANTHROPIC_API_KEY,
OLLAMA_BASE_URL,LOCAL_MODEL,OPENAI_BASE_URL -
New install extras:
[openai],[anthropic],[ollama]
Changed
Config.validate()skips Google API key requirement whenllm_provider != "gemini"pyproject.toml:descriptionupdated; keywords extended withopenai,
anthropic,claude,ollama,gemma,qwen,local-llm