# Native harness — live command-entry findings + nudge-loop design **Date:** 2026-06-10 **Context:** Evaluating the `native` tool-calling harness (`cmd_chat/agent/bridge.py`, `_run_native`) on its ability to drive shell commands into the shared podman/Kali sandbox, on a CPU-only box (no GPU). Two prior fixes were live-validated here and committed in `a0aa14d`: §3 PTY-sentinel (`_run_shell_in_pty`) and `NATIVE_CONTEXT=4`. ## Test setup - Fresh room, podman sandbox (`hack-house` container), `/grant ai` drive. - Models compared: `qwen2.5:3b` (1.9 GB, prior default) and `qwen2.5-coder:7b` (4.7 GB, pulled for this test). `deepseek-r1:latest` and `westenfelder/NL2SH` were ruled out — both **reject Ollama's `tools` field** (`HTTP 400 "does not support tools"`), so they degrade to the simple injector and can't exercise the native loop. - Each task verified against **ground truth** (podman exec into the container), not just the chat/PTY surface. ## Results: qwen2.5:3b vs qwen2.5-coder:7b | Behaviour | qwen2.5:3b | qwen2.5-coder:7b | |---|---|---| | Single command (`whoami`) | PASS | PASS | | write+run (`hello.sh` date+hostname) | PASS, accurate summary | PASS | | **Multi-step** (mkdir→write→list) | **FAIL** — stalled after step 1 ("ok, let's proceed to the next step") | PASS — chained make_dir→write→read, completed | | **Recover from mid-task error** | FAIL — gives up | INCONSISTENT — recovered from `[unknown tool make_dir]`, but on `greet.sh` skipped chmod, hit exit 126, then **stopped** | | Tool-schema discipline | clean | hallucinated a `make_dir` tool (not in schema) — wasted a turn (`[unknown tool make_dir]`, bridge.py:597) | | Final summary quality | vague ("I will proceed…") | empty → `(done)` fallback, or raw advice text | | Latency (CPU, no GPU) | ~20–40 s/task | ~2–4× slower, 30–90 s/turn | ### Failure modes observed (both sizes) 1. **Early termination on multi-step** (3B dominant): the model emits filler text with no tool call mid-task; the loop reads "text + no tool call = done" and stops. The remaining steps never run. 2. **Give-up on unresolved non-zero exit** (both sizes): after a failing command (exit 126/127), the model emits a summary/advice instead of fixing the cause. greet.sh left at mode 644 (never chmod'd) despite the task saying "make it executable". 3. **Tool hallucination** (7B): invented `make_dir`; the schema only has run_shell/write_file/read_file. ### Root cause in code `_run_native`, bridge.py:739–741: ```python if not calls: final = (text or "").strip() break # ANY text-without-toolcall ends the task ``` NATIVE_SYSTEM (line 111–113) *also* tells the model to signal completion this exact way. So one signal — "text, no tool call" — is overloaded to mean BOTH "done" and "stalling/thinking". Disambiguating it is the fix. **Takeaway:** a bigger model buys multi-step persistence (the 3B's main flaw) but does NOT eliminate the give-up-on-error mode, and costs heavy latency. A nudge loop that keys off **exit codes** (not just filler text) earns its keep at both sizes. ## Research: how Goose & opencode structure loop termination (Source read directly from clones; key files cited.) - **Goose** (`crates/goose/src/agents/agent.rs`): tracks `no_tools_called` (line 1801). When true it does NOT just stop (lines 2232–2316) — in structured/goal modes it injects a continuation nudge (`FINAL_OUTPUT_CONTINUATION_MESSAGE` = "You MUST call the final_output tool NOW…") and loops. Completion is an **explicit terminal tool** (`recipe__final_output`, `final_output_tool.rs`). Vanilla chat with no recipe/goal does fall through to text-as-done, but every structured path overrides that. Bounded by `max_turns`. - **opencode** (`packages/opencode/src/session/prompt.ts:1156–1183`): exits only when finish is a real stop reason **AND** it independently re-derives that there are no pending tool calls from the parsed message parts — comment: *"Some providers return 'stop' even when the assistant message contains tool calls."* Hard step cap (`maxSteps`) with a wind-down message (`MAX_STEPS`, `prompt/max-steps.txt`); structured mode forces `toolChoice: "required"`. - **Canonical / Cline-Roo**: weak-model harnesses favour an explicit completion action (`attempt_completion`/`submit`) over trusting "empty tool_calls = done". - **Recommendation from research:** go structural, not filler-heuristic ("a losing arms race"); nudge on text-without-completion; a hard cap is the only unconditional exit; derive "did a tool get called" from parsed parts, not `finish_reason` (qwen on CPU is unreliable there — it leaks tool calls as `` text in `content`; already handled by `OllamaProvider._extract_text_tool_calls`). ## Design: dynamic nudge loop (output-aware, structural terminator) Structural termination via a **`DONE:` text sentinel** rather than a 4th tool. Divergence from the research's "add a done tool", justified for THIS model: qwen-on-CPU already mis-emits structured tool calls (leaks as `` text; the 7B even hallucinated `make_dir`). A 4th tool invites the same malformation and competes for attention; a `DONE:` prefix disambiguates the existing text channel at zero schema cost. This is opencode's "require an explicit marker, don't trust the implicit stop", applied to the text channel. Changes in `_run_native` (bridge.py): 1. **NATIVE_SYSTEM** (line 111–113): replace "reply with a summary and DO NOT call a tool" with → *"When and ONLY when the task is fully done, reply with one line starting `DONE:` and a one-sentence result. Otherwise you MUST call a tool."* 2. **Track loop state:** `did_action` (any tool ran), `last_rc` (parse the `exit=` already formatted by `_run_shell_in_pty`), `nudges=0`. 3. **Replace the bare `break` (739–741) with a verdict gate:** - text starts with `DONE:` → **done** (fast path, no nudge) - `last_rc` ∉ {0, None} and no `DONE:` → **stalled** (unresolved error) - no `did_action` → **stalled** (pure talk) - filler regex (`let's proceed`, `next step`, `i will`, trailing colon) and no `DONE:` → **stalled** - else (substantive text, action happened, no error) → **accept as done** — the single heuristic, on the SAFE side, so finished tasks aren't nudged every time (protects CPU latency, the cost a pure-structural form would incur here). 4. **On `stalled`:** append an output-aware, Goose-style nudge and `continue`, bounded by `MAX_NUDGES = 2` (separate from the productive `max_turns` so real multi-step work isn't starved): > *[if last_rc≠0:]* "The last command exited {rc} (failure) — fix that first > (e.g. `chmod +x` before running a script)." + "You haven't signalled > completion. If `{task}` is fully done reply `DONE: …`; otherwise call the next > tool now — act, don't describe." 5. **Wind-down:** on the final turn, inject "reply `DONE:` with your result now" (opencode's `MAX_STEPS` pattern). 6. **Keep** `_extract_text_tool_calls` (already present) — opencode's "derive tool calls from parsed parts, not finish_reason" lesson, which this model needs. Fixes mapped to observed failures: 3B early-stall → nudged to continue; give-up on error (both sizes) → nudged with the exit-code-aware message; over-nudging finished tasks → avoided by the `DONE:` fast path + safe-side accept.