Jake
d1eb56fac9
kon-llm now owns a real LlamaBackend + LlamaModel, with three Qwen3 tiers (1.7B Q4, 4B-Instruct-2507 Q4, 14B Q5) selectable per hardware. Downloads are resumable with SHA-256 verification and stored under ~/.kon/models/llm. Engine exposes three high-level surfaces — all greedy/temp-0, GBNF-constrained where output shape matters: - cleanup_text (prompt-injection-hardened system prompt; profile terms appended as "preserve these spellings" suffix) - decompose_task (3–7 micro-steps, constrained JSON array) - extract_tasks (optional-array; empty when no explicit commitments) post_process_segments now takes an Option<&LlmEngine> and, when loaded and format_mode != Raw, joins segments → cleanup → replaces segments with the cleaned text (first segment span). Rule-based path still runs first; LLM errors log and keep rule-based output. Tauri commands: recommend_llm_tier, check_llm_model, download_llm_model, load_llm_model, unload_llm_model, delete_llm_model, get_llm_status, cleanup_transcript_text_cmd, extract_tasks_from_transcript_cmd, decompose_and_store (LLM-backed subtasks). Settings: AI tier toggle (off / cleanup / tasks), model picker with downloaded/loaded status, download progress events via kon:llm-download-progress. Dictation: ensureLlmModelLoaded on mount, cleanupTranscriptIfEnabled after stop when tier != off and format_mode != Raw, LLM task extraction when tier=tasks (regex fallback on failure). Interim: both llama-cpp-sys-2 and whisper-rs-sys statically link their own ggml, so src-tauri/build.rs emits -Wl,--allow-multiple-definition on Linux. Replace with a system-ggml shared-lib setup as a follow-up. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
22 lines
591 B
TOML
22 lines
591 B
TOML
[package]
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name = "kon-llm"
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version = "0.1.0"
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edition = "2021"
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[dependencies]
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dirs = "6"
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encoding_rs = "0.8"
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futures-util = "0.3"
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llama-cpp-2 = { version = "0.1.144", default-features = false, features = ["openmp", "vulkan"] }
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num_cpus = "1"
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reqwest = { version = "0.12", default-features = false, features = ["rustls-tls", "stream"] }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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sha2 = "0.10"
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thiserror = "2"
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tokio = { version = "1", features = ["fs", "io-util", "macros", "net", "rt-multi-thread", "sync", "time"] }
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tracing = "0.1"
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[dev-dependencies]
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tempfile = "3"
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