2 commits

Author	SHA1	Message	Date
Bossiara13	8d3da4ea06	feat: LLM hot-swap voice command + Ollama backend (148 → 151 commands) ... Closes the last functional parity gap with rust. Python now has voice-driven Ollama↔Groq switching, persistent across restarts. llm_backend.py (new, ~130 lines) Singleton module: current_client() → active OpenAI client (or None) current_backend() → 'groq' | 'ollama' | 'none' current_model() → active model name swap_to(name) → hot-swap + persist to <here>/llm_backend.txt parse_backend(name) → ru/en alias normaliser ('облако'→groq, 'локальный'→ollama) Backends: - Groq: config.GROQ_TOKEN + GROQ_BASE_URL + GROQ_MODEL (defaults) - Ollama: OLLAMA_BASE_URL (default http://localhost:11434/v1) + OLLAMA_MODEL (default qwen2.5:3b). api_key='ollama' (placeholder, openai lib insists on a non-empty string; Ollama ignores it). Init precedence (idempotent _ensure_init): 1. Persisted choice from llm_backend.txt 2. JARVIS_LLM env var 3. Auto-detect: Groq if token present, else Ollama Voice commands (commands.yaml, +3 entries → 151) llm_switch_local → ollama llm_switch_cloud → groq llm_status → speaks current backend extensions.py + do_llm_switch / do_llm_status handlers + llm_backend import do_interesting_fact migrated off direct OpenAI(...) to use llm_backend.current_* dev_handlers.py + llm_backend import do_codebase_ask + do_github_summarize_pr migrated to llm_backend.current_* vision_handler.py Vision call documented as Groq-specific (Ollama doesn't expose vision via OpenAI-compat in our stack), kept direct config.GROQ_TOKEN reading. Tests: ast.parse passes for all 5 modules. yaml.safe_load = 151 entries. PYTHON PARITY VS RUST IS NOW FUNCTIONALLY COMPLETE. Only remaining rust-only feature: the Tauri GUI (python is console-only).	2026-05-16 00:44:42 +03:00
Bossiara13	31ff997782	feat: codebase_qa + github_pr in Python (142 → 148 commands) ... Closes the Python parity gap with rust. All major imba features now mirrored EXCEPT live LLM hot-swap (python LLM backend is still env-driven, not voice- switchable like rust). dev_handlers.py (new, ~250 lines) Codebase Q&A: do_codebase_set "укажи проект C:\path" → memory_store.remember("codebase.root", ...) do_codebase_where "какой проект сейчас" do_codebase_ask "что делает функция X" / "найди в коде Y" Walks the root with same caps as rust: depth=3, files=30, file_bytes=4096, total=50000 Filters by extension (rs/py/ts/lua/go/...). Skips .git/target/node_modules/__pycache__/.venv etc. Feeds digest to Groq LLM with "senior reviewer" prompt. GitHub PR review (requires `gh` CLI authenticated): do_github_set_repo "текущий репо owner/repo" → memory_store do_github_list_prs "какие пиары" → `gh pr list --json number,title,author`, speaks count + first 3 titles do_github_summarize_pr "разбери последний пиар" → gh pr view of latest open PR, feeds title+body+diff stat to LLM, speaks 3-5 sentence review. extensions.py — 6 new proxy handlers + import dev_handlers + set_speak wires it. main.py — 6 new action_type dispatches in run_action. commands.yaml (+6 entries, 142 → 148): codebase_set, codebase_where, codebase_ask, github_set_repo, github_list_prs, github_summarize_pr. Tests: ast.parse passes for all .py files. yaml.safe_load = 148 entries. PYTHON PARITY VS RUST IS NOW COMPLETE except: ✗ LLM hot-swap voice command (rust calls llm::swap_to + persists DB; python config.GROQ_TOKEN is read once at startup) ✗ GUI pages (rust has Tauri+Svelte, python is console-only) Everything else has full parity: memory / profiles / vision / macros / scheduler / codebase Q&A / GitHub PR review / 14 utility packs.	2026-05-16 00:40:08 +03:00