System prompt gets a one-line summary (~200 chars): OS, CPU, RAM,
GPU, top runtimes, package count, PATH command count.
Full details available on demand via system_info tool with sections:
runtimes, packages, tools, hardware, all. LLM calls the tool when
it needs specifics — saves thousands of tokens per request.
Hardware detection: CPU model, core count, total RAM, GPU via lspci.
Package manager: pacman/apt/dnf/brew with dev package filtering.
PATH scan: 5541 executables. Runtime probing: 22 detected.
No hardcoded tool lists. Scans all $PATH directories for executables
(5541 on this system), then probes known runtime patterns for version
info (23 detected: Go, Python, Node, Rust, Ruby, Perl, Java, Dart,
Deno, Bun, Lua, LuaJIT, Guile, GCC, Clang, NASM + package managers).
System prompt includes: OS, shell, runtime versions, and notable
tools (git, docker, kubectl, fzf, rg, etc.) from the full PATH scan.
Total executable count reported so the LLM knows the full scope.
Milestones updated: M6 fixed context prefix, M12 multimodality.
Thin wrapper over OpenAI adapter with custom base URLs.
Ollama: localhost:11434/v1, llama.cpp: localhost:8080/v1.
No API key required for local providers.
Fixed: initial tool call args captured on first chunk
(Ollama sends complete args in one chunk, not as deltas).
Live verified: text + tool calling with qwen3:14b on Ollama.
Five providers now live: Mistral, Anthropic, OpenAI, Google, Ollama.
Streaming via goroutine+channel bridge (range-based iter.Seq2 → pull
iterator). Tool use with FunctionCall/FunctionResponse, tool name
sanitization, tool name map for FunctionResponse correlation.
Stop reason override (Google uses STOP for function calls).
Hardcoded model list (gemini-2.5-pro/flash, gemini-2.0-flash).
Wired into CLI with GOOGLE_API_KEY + GEMINI_API_KEY env support.
Live verified: text streaming + tool calling with gemini-2.5-flash.
Four providers now live: Mistral, Anthropic, OpenAI, Google.
Streaming, tool use (index-based delta accumulation), tool name
sanitization (fs.read → fs_read), StreamOptions.IncludeUsage for
token tracking. Hardcoded model list (gpt-4o, gpt-4o-mini, o3, o3-mini).
Wired into CLI with OPENAI_API_KEY env support.
Live verified: text streaming + tool calling with gpt-4o.
Streaming, tool use (with InputJSONDelta assembly), thinking blocks,
cache token tracking, system prompt separation. Tool name sanitization
(fs.read → fs_read) for Anthropic's naming constraints with reverse
translation on tool call responses.
Hardcoded model list with capabilities (Opus 4, Sonnet 4, Haiku 4.5).
Wired into CLI with ANTHROPIC_API_KEY + ANTHROPICS_API_KEY env support.
Also: migrated Mistral SDK to github.com/VikingOwl91/mistral-go-sdk.
Live verified: text streaming + tool calling with claude-sonnet-4.
126 tests across 9 packages.
vikingowl