Daniel Kim 85c1f7852b Fix duplicated assistant text for thinking models in the Claude harness (v0.1.80) (#129)
* Fix duplicated assistant text for thinking models in the Claude harness

The Claude CLI emits one 'assistant' event per completed content block,
each with a single-element content array. The fold keyed parts as
{mid}-{enumerate index}, so every block keyed to {mid}-0: a text block
following a thinking block clobbered the reasoning part while its own
delta-built part at {mid}-1 survived — every reply rendered twice for
models with visible thinking (Fable 5), and the thinking disappeared.

Track a running per-message block offset so each assistant event's
blocks recover their true index in the message and land on the same
part ids the stream deltas built. A full-content array in a single
event (the shape the old tests assumed) starts at offset 0 and behaves
as before.

* Address review round 1: subagent offset namespace, comments, tests

- Namespace the block-offset map by parent_tool_use_id so a subagent's
  top-level assistant events can never advance the main message's offset
  (their parts still fold — pre-existing behavior, unchanged).
- Document the exactly-once/ascending invariant the counter trusts, and
  why the offset advances by blocks.len() rather than a render count.
- Tests: pin part ids in the per-block regression test; add coverage for
  bridge-suppressed blocks still occupying their position and for
  subagent offset isolation; rename the whole-message test and the
  per-message-id keying test to match what they exercise.
- Nits: hoist HashMap use, unshadow the loop index, avoid the
  unconditional format! allocation in the tool_use id fallback.

* Address review round 2 nits: single parent read, tighter docs, sharper tests

- Bind parent_tool_use_id once and use it for both the offset namespace
  and the usage guard (one read, one null-semantics).
- Trim the field doc to the what + pointer; the assistant arm stays
  canonical for the mechanism; restore a short named pointer from the
  stream_event comment.
- Make the subagent test reuse the main message id so it actually
  exercises the namespace branch; name the cross-test reference; drop
  the CLI version stamp; assert last_text ordering in the per-mid test.

* Bump version to 0.1.80
2026-07-27 12:12:48 -07:00
2026-06-07 00:35:02 -07:00
2026-07-06 20:05:41 -07:00

OpenResearch CLI (orx)

Important

If you are an OpenResearch user or someone who is interested in autoresearch, we'd love to chat with you. Please email contact@alphaxiv.org if interested.

Run autoresearch on your machine

  • Run research agents in parallel. Spins up agents in different worktrees so you can investigate several different directions at once.
  • Works with Claude Code, Codex, and OpenCode
  • Bring your own compute. Works with SSH, Slurm, Kubernetes, Modal, HuggingFace and more.
  • Give it a goal. Can run the entire autoresearch loop from literature review to experiment analysis.
  • Local and private. Your code and your data stays on your machine.

https://github.com/user-attachments/assets/33b62182-0795-490d-9366-0fb0b4bd49fd

Quick start

curl -LsSf https://openresearch.sh/install.sh | sh
orx up

The dashboard opens at http://127.0.0.1:4791. Give the agent a goal — for example, ask it to reproduce a paper:

/reproduce-paper <paper URL or title> on <compute>

or turn one into an interactive marimo notebook:

/paper-to-marimo <paper URL or title> on <compute>

The dashboard

orx up runs a single local process on 127.0.0.1 — an embedded web UI plus a JSON/SSE API over a local SQLite store. From there you get:

  • Agent chat — a research assistant with full project context, backed by your locally installed harness: Claude Code, Codex, or OpenCode (pick the harness and model in the UI). Ask it to analyze runs, dig into results, edit code, and spin up new experiments.
  • The experiment tree — every experiment is a git branch: a runnable snapshot of your code. The root is your baseline; children are variants measured against it, so lineage stays explicit.
  • Runs — launch on your compute (Modal, Hugging Face Jobs, Kubernetes, Slurm, any SSH box, your own machine) or OpenResearch managed GPUs, and watch live logs, statuses, git diffs, files, and linked W&B runs stream in.
  • Autoresearch — describe a goal and let the agent run autonomously toward it: proposing, launching, and analyzing experiments.

Everything binds to loopback only; nothing on the dashboard's paths leaves your machine except the compute and paper-search calls you initiate.

On a remote machine

Develop from your laptop while the dashboard runs next to your GPUs:

orx up --remote user@host        # or an ~/.ssh/config alias; append :PORT for a custom SSH port

This starts orx up on the remote box over SSH, tunnels the port back, and opens your browser locally. Note the remote server is unauthenticated on that host's loopback, so other users on the same box can reach it.

Commands

Run orx --help (or orx <command> --help) for full usage. The highlights:

Area Commands
Dashboard up
Auth login, logout
Projects projects, explore, project, create-project, env
Experiments experiments, create-experiment, exp status/cmd/run/cancel
Runs & evidence runs, logs, search-logs, artifacts, artifact, wandb, query, chart, report
Compute compute, instance create
Literature lit, paper (alphaXiv full-text search — no login required)
Agent integration install-skills, skill
Maintenance version, update, telemetry

orx install-skills drops the OpenResearch skill into your local coding agents (Claude Code, Codex, OpenCode, Cursor) so they can drive orx themselves — orx login offers this too.

Installing

The install script above fetches the latest prebuilt release (macOS and Linux, x86_64 and arm64) and is the same as:

curl -LsSf https://github.com/alphaXiv/openresearch-cli/releases/latest/download/openresearch-cli-installer.sh | sh

orx update keeps script-installed binaries current; interactive terminals also get a once-a-day background check with a one-line stderr notice (silence it with ORX_NO_UPDATE_CHECK=1).

From source

Requires Rust (stable) via rustup. The prebuilt dashboard UI is committed at ui/dist, so a plain build works:

cargo build --release          # binary at target/release/orx
cargo install --path .         # or install onto your PATH (~/.cargo/bin)

To hack on the dashboard UI itself (Vite + React, embedded into the binary at build time):

cd ui && pnpm install && pnpm build

Run the tests with cargo test.

Configuration

  • API URL — defaults to production (https://api.openresearch.sh); override with --api-url or OPENRESEARCH_API_URL.
  • Credentials — orx login opens your browser, mints a personal access token, and stores it at ${XDG_CONFIG_HOME:-~/.config}/openresearch/credentials.json (mode 0600). Sent as Authorization: Bearer … on every request.

Usage analytics

orx sends anonymous usage analytics to help prioritize features. It's opt-out, and the orx up onboarding surfaces the choice on first run.

  • Collected: command name, a random per-install UUID, CLI version, OS/arch, a CI flag, and coarse event labels (e.g. "a run launched on modal").
  • Never collected: code, prompts, file contents or paths, project or experiment ids/names, repo names, tokens, emails — nothing identifying. The install UUID is not tied to your account.
orx telemetry off        # persistent, per-machine
orx telemetry status     # current state + the anonymous install id
orx <cmd> --no-telemetry # per-run

Events are fire-and-forget on a background task and never block a command.

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