steve
2ef88f2a73
executus's tool.Invocation already carried InputFiles (audio/PDF/binary), but the executor never staged them — only Images were folded into the run. This adds the host seam mort's chat/chatbot surfaces need for audio-input parity with agentexec. - run.Ports gains InputFiles InputFileStager (nil-safe; nil = input files silently ignored, run still proceeds text-only). The interface mirrors mort's skill FileStorage: StageInputFile(ctx, runID, agentID, name, mime, content) → file_id. - run/input_files.go (ported from mort agentexec/input_files.go): stageInputFiles persists each file under run scope and appends an [ATTACHED FILES] descriptor block to the prompt so the agent can reach them by file_id (e.g. code_exec files_in → /workspace/<name>). Bytes are NEVER inlined into model context. Best-effort: empty/oversized(>50MB)/save-error files are skipped; colliding base names are disambiguated (name-2, name-3) so they don't clobber at /workspace/<name>. - Executor.Run calls it after the model/toolbox build, before the loop, so the descriptor rides the first user turn (alongside the existing Images folding). Tests: stages + builds the block; nil stager / no files leave the prompt intact; dedup; empty/save-error skipping. Full suite green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
executus
⚠️ This project is vibe-coded. executus is written almost entirely by an AI coding agent (Claude), with a human steering at the design and review level rather than typing the code. That's a deliberate choice, stated up front — the same way gadfly is. Read the code before you depend on it, pin a version, and file issues if something looks off. It is offered as-is.
A batteries-included base for building LLM agent harnesses in Go. Import it, do a little wiring, and you have agentic capabilities: a bounded run loop, a tool registry with a suite of common tools, context compaction, config-driven model tiering and failover, structured output, and parallel fan-out — with sensible defaults so a brand-new project is agentic with almost no setup, and pluggable seams so a serious host can swap in its own storage, config, delivery, and tools.
executus sits strictly above majordomo — the lean LLM substrate (agent
loop, canonical llm types, providers, media normalization, model parsing /
failover / tiering). majordomo stays the substrate; executus is the opinionated,
batteries-included layer on top. executus requires no changes to majordomo.
Status
Early. Being extracted, phase by phase, from the agent layer of mort (a Discord
bot) — mort and gadfly are the first two consumers (heavy and light). See
CLAUDE.md for the architecture and the extraction roadmap (P0–P6).
Available today:
run/— executus is runnable.run.Executorties model resolution, the tool registry, majordomo's agent loop, context compaction, run-bounding, and step/audit instrumentation into oneRun(ctx, RunnableAgent, inv) Result, with every host concern behind a nil-saferun.Ports(Audit/Budget/Critic/ Checkpointer/PaletteSource/Delivery). Seeexamples/minimal.model/— config-driven tier resolution + failover over majordomo, with pluggableUsageSink/TraceSinkandGenerateWith[T]structured output.tool/— the tool registry + 3-stage permission model + SSRF guard.compact/— the per-run context compactor.lane/— bounded worker pool with fair-share queueing (run- and provider-concurrency).fanout/— programmatic N×M swarm with bounded global + per-key concurrency.config/,deliver/,identity/— host seams (config / output / identity), each with a shipped default.dispatchguard/,pendingattach/— run-safety primitives.examples/reviewer— a gadfly-shaped PR reviewer on the core only (env-config model fleet →fanoutN×M swarm →model.GenerateWith[T]structured findings → consolidation), the light-tier canary; CI asserts it pulls in no battery.
Design
Two tiers in one module (go.mod = majordomo + stdlib only):
- Core — everything a light host needs to be agentic: run loop, tool registry + common tools, model resolution, compaction, lanes, fan-out, structured output. No persistence, no scheduling.
- Batteries (opt-in sibling packages) — persona/agent nouns, saved skills, audit, run-critic, scheduling, budgets, checkpointing. Each is nil-safe and ships a default, so you add only what you use.
Persistence that needs a real database lives in a separate nested module
(contrib/store, pure-Go SQLite) so the core never drags in a DB driver — a
static-binary host (gadfly) stays static.
License
TBD.