FanouZeng-TT 492e2ac2cc
fix(sandbox): report an exactly-full search result as complete in the remote providers (#5534)
* fix(sandbox): report an exactly-full search result as complete in the remote providers

`glob` and `grep` decide `truncated` twice: once for the raw output cap
(`parse_remote_search_output`, unchanged) and once for `max_results` after the
Python-side filters have run. The second decision returned as soon as
`max_results` matches had been collected, which cannot tell a search that held
exactly that many from one that held more — a tree holding exactly
`max_results` eligible matches came back flagged as cut off, and the tool then
told the model the result was incomplete.

These providers hold the whole listing (the raw stream is capped at
`max(max_results * 4, max_results + 50)` lines and reports its own cut-off), so
like AIO's `glob` branches they can look one match past the cap before
deciding: `AioSandbox.grep`, plus `glob`/`grep` in E2B, OpenSandbox, Tenki and
BoxLite now use the same `len(matches) > max_results` rule. This completes what
#5449 started for AIO's `glob`; the local provider's half is #5491.

Co-Authored-By: Claude Code <noreply@anthropic.com>

* fix(sandbox): let remote grep see one match past the per-file cap

E2B and OpenSandbox stopped each file's grep at max(max_results, 50)
matches, so a single file holding more than max_results hits — with a
raw stream far below its limit — ended the Python loop exactly at the
cap and reported the result as complete (#5534 review).

Retain one extra match per file so the one-match lookahead can observe
the overflow and report truncation. A single-file regression at
max_results=50 covers 50 matches (complete) vs 51 (truncated) for both
providers.

Co-Authored-By: Claude Code <noreply@anthropic.com>

---------

Co-authored-by: Claude Code <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-09-20 14:34:37 +08:00
..

BoxLite backend

Runs each DeerFlow sandbox as a BoxLite micro-VM — a daemonless, OCI-native VM with its own kernel (libkrun/KVM on Linux, Hypervisor.framework on macOS). Motivated by the resource/cold-start pain with the default AIO Docker sandbox in #3439 and #3213; discussion in #3936.

Configuration

sandbox:
  use: deerflow.community.boxlite:BoxliteProvider
  image: python:3.12-slim         # any OCI image (default: python:3.12-slim)
  memory_mib: 1024                # per-box memory cap (optional)
  cpus: 2                         # per-box vCPUs (optional)
  replicas: 3                     # active + warm VM cap per gateway process (default: 3)
  idle_timeout: 600               # warm VM idle seconds before stop; 0 disables
  health_check_skip_seconds: 0.0  # optional low-latency mode: skip reclaim
                                  #   health checks for recent releases; 0 keeps
                                  #   reliability-first validation (default: 0.0)
  environment:                    # injected into every command
    PYTHONUNBUFFERED: "1"

Install the optional runtime before selecting this provider:

pip install "deerflow-harness[boxlite]"

The boxlite package is an optional DeerFlow harness extra, not part of the default install. It is also limited to the host platforms and architectures where BoxLite publishes wheels and can boot micro-VMs. Unsupported development hosts, such as Windows, should use another sandbox provider or run DeerFlow from a supported Linux/macOS environment.

Host requirement: BoxLite boots micro-VMs, so a Linux host needs KVM — i.e. nested virtualization when DeerFlow runs inside a cloud VM. macOS uses Hypervisor.framework. This is the main deployment constraint to weigh vs. the container-based providers.

Design

DeerFlow's Sandbox contract is synchronous; BoxLite's SDK is async-native and its box handles are event-loop-affine. The provider owns one private asyncio loop on a daemon thread and marshals every coroutine onto it via run_coroutine_threadsafe. BoxLite boxes are named deterministically from user_id:thread_id, released into an in-process warm pool after each agent turn, and reclaimed by the same thread on the next acquire.

File Role
provider.py SandboxProvider lifecycle + the private-loop bridge
box.py Sandbox adapter; execute_command + file ops

Contract coverage

The full Sandbox surface is implemented. File operations run as shell commands inside the box and reuse deerflow.sandbox.search, mirroring e2b_sandbox:

  • execute_command — sh -lc, with per-call env and timeout.
  • read_file / write_file / update_file — cat and chunked base64 (binary-safe, no arg-size limit).
  • download_file — 100 MB cap, restricted to the /mnt/user-data prefix.
  • list_dir / glob / grep — find / grep with busybox-portable flags; results filtered/capped in Python.

The provider creates /mnt/user-data/{workspace,uploads,outputs} and /mnt/skills on box start so those virtual paths resolve natively.

Warm-pool capacity is governed by sandbox.replicas across active + warm VMs. sandbox.idle_timeout controls how long released warm VMs stay running; 0 disables idle reaping. Active boxes are never evicted to satisfy the cap.

Status

Verified end-to-end against a live box (provider resolution → execute_command → file ops) on macOS/HVF. Linux/KVM validation and benchmarks vs. the AIO sandbox are tracked in #3936.