coworker-cli 0.8.2

Vendor-neutral CLI to delegate bulk I/O off your reasoning model.

coworker

Vendor-neutral CLI to delegate bulk I/O off your reasoning model.

You pay top-tier prices for your reasoning model — you don't need to spend those tokens reading 600-line files, summarising git history, or drafting boilerplate. coworker routes that work to a cheaper provider while you keep the reasoning seat for the work that actually requires it.

Reasoning model    →    coworker     →    cheap provider
(your top-tier)         (this CLI)        (Moonshot / DeepSeek / Groq / OpenRouter / OpenAI)

---

What

A small Python CLI with four subcommands:

• coworker ask — ask a question about a corpus of files; cheap model reads, you get the answer.
• coworker write — generate a complete file from a spec + reference context.
• coworker stats — local usage / cost / latency / cache-hit aggregates from the JSONL log.
• coworker debug — inspect a logged corpus blob by sha256 prefix (when corpus logging is enabled).

Five providers built in, all reached through their OpenAI-compatible chat/completions endpoint: Moonshot, DeepSeek, Groq, OpenRouter, OpenAI. Switching is a flag.

Why

Modern coding agents and reasoning loops burn most of their token budget on reading, not thinking. Reading a 600-line file is structurally identical work whether you do it on Claude Opus or DeepSeek-Chat — but the cost differs by an order of magnitude. The cheap model is usually good enough for retrieval-style summarisation; you only need the expensive model for the synthesis step.

coworker makes the delegation explicit, configurable per task (via profiles), and observable (every call gets logged with tokens, cost, latency, and cache-hit rate).

It is intentionally a single CLI binary, not a library or a server. You wire it into whichever agent harness you use (Claude Code, your own scripts, CI pipelines) by shelling out.

Quick start

pip install git+https://github.com/Arcanada-one/coworker

mkdir -p ~/.config/coworker
curl -fsSL https://raw.githubusercontent.com/Arcanada-one/coworker/main/examples/providers.yaml.example \
  > ~/.config/coworker/providers.yaml
curl -fsSL https://raw.githubusercontent.com/Arcanada-one/coworker/main/examples/profiles.yaml.example \
  > ~/.config/coworker/profiles.yaml

export DEEPSEEK_API_KEY="sk-..."   # whichever provider you have a key for

coworker ask --provider deepseek \
             --paths README.md \
             --question "What does this project do, in one sentence?"

Installation

Requires Python 3.10+. No system packages.

pip install coworker-cli

Or pin a specific release: pip install coworker-cli==0.6.3. To install straight from source instead: pip install git+https://github.com/Arcanada-one/coworker.

The distribution is named coworker-cli on PyPI; the installed command stays coworker.

Releases are signed with cosign and carry SLSA L2 build provenance — see docs/release-verification.md to verify a download before installing.

For development:

git clone https://github.com/Arcanada-one/coworker
cd coworker
pip install -e ".[dev]"
pytest -q

Config is read from XDG-standard locations:

File	Purpose
~/.config/coworker/providers.yaml	Provider definitions + pricing
~/.config/coworker/profiles.yaml	Profile system prompts + defaults
~/.local/state/coworker/log/*.jsonl	Per-call usage log
~/.local/state/coworker/blobs/	Optional sha256-deduplicated corpora (only if COWORKER_LOG_CORPUS=1)

$XDG_CONFIG_HOME and $XDG_STATE_HOME are honoured if set. See docs/installation.md.

Provider setup

Each provider needs one environment variable. Set the key for whichever provider you actually use; you don't need keys for all five.

Provider	Env var	Get a key
Moonshot	MOONSHOT_API_KEY	https://platform.moonshot.ai
DeepSeek	DEEPSEEK_API_KEY	https://platform.deepseek.com
Groq	GROQ_API_KEY	https://console.groq.com
OpenRouter	OPENROUTER_API_KEY	https://openrouter.ai
OpenAI	OPENAI_API_KEY	https://platform.openai.com

Defaults (model, pricing, prefix-cache support) live in providers.yaml and are easy to override. See docs/provider-setup.md.

CLI reference

coworker ask

usage: coworker ask [-h] [--provider PROVIDER] [--model MODEL]
                    [--profile PROFILE] [--paths [FILE ...]]
                    --question QUESTION [--max-tokens MAX_TOKENS]
                    [--task-id TASK_ID] [--no-log] [--allow-code]

--question is required. If --paths is omitted and stdin has data, stdin is used as the corpus. The default profile is code.

coworker ask --paths src/main.py src/utils.py \
             --question "Where is the retry policy applied?"

coworker write

usage: coworker write [-h] [--provider PROVIDER] [--model MODEL]
                      [--profile PROFILE] --spec SPEC [--context [FILE ...]]
                      --target TARGET [--max-tokens MAX_TOKENS]
                      [--task-id TASK_ID] [--no-log] [--stdout] [--append]
                      [--allow-code]

--spec and --target are required. The model returns ONLY the file contents (code fences are stripped). Use --stdout to also echo the result.

coworker write --spec "MIT LICENSE for project Foo" --target LICENSE

By default, --target is truncate-written — any existing contents are replaced. Since v0.4.0, pass --append to append the generated body to an existing file instead (mutually exclusive with --stdout). If --target doesn't exist yet, --append falls back to a normal write.

coworker write --spec "Add a new release-notes section" \
               --context CHANGELOG.md \
               --target CHANGELOG.md \
               --append

coworker stats

usage: coworker stats [-h] [--since SINCE]
                      [--by {provider,profile,model,combined}]
                      [--profile PROFILE] [--provider PROVIDER]
                      [--format {text,json}]

Reads ~/.local/state/coworker/log/*.jsonl and prints aggregates. JSON output has a stable schema — pipe to jq.

coworker stats --since 7d --by provider
coworker stats --since 30d --by combined --format json | jq '.[] | .sum_cost_usd'

coworker debug

usage: coworker debug [-h] --hash HASH

Replays a logged corpus blob by sha256 prefix (≥2 chars). Only useful if you opted into corpus logging via COWORKER_LOG_CORPUS=1.

COWORKER_LOG_CORPUS=1 coworker ask --question "..." --paths README.md
coworker debug --hash 8a3f

File type gate

Since 0.2.0, coworker ask --paths and coworker write --context refuse non-text inputs by default. This is a deliberate policy choice: a delegated I/O worker should see documentation, not source code. Source code belongs at your reasoning model.

Allowed by default:

Surface	Allow rule
Extensions	.md, .markdown, .txt (case-insensitive)
Extensionless names	README, LICENSE, CHANGELOG, AUTHORS (case-insensitive)
Stdin	Always — gate applies only to --paths / --context

Blocked: everything else — including .py, .ts, .json, .yaml, .rs, .go, source code in any language, binary files. The call exits with code 6 and stderr lists each offending path.

Override when you genuinely want code at the provider:

# Per call:
coworker ask --paths src/main.py --question "..." --allow-code

# Per shell session:
export COWORKER_ALLOW_CODE=1
coworker ask --paths src/main.py --question "..."

Every override writes coworker.gate_override: true and coworker.gate_overridden_files: [...] to the per-call log entry. Pipe coworker stats --format json or grep ~/.local/state/coworker/log/$(date +%F).jsonl to audit.

Limitations. The gate inspects the path string (.suffix), not the resolved target — a .md symlink to .py would pass. This is intent-based gating, not an adversarial sandbox. For adversarial scenarios, sanitize inputs upstream.

Configuration & logging

• Profiles bind a system prompt to a default provider + token budget. Switch with --profile.
• Provider resolution: --provider flag → profile.recommended_provider → $COWORKER_DEFAULT_PROVIDER → moonshot. For DeepSeek-first installs, set COWORKER_DEFAULT_PROVIDER=deepseek; profile recommendations still take precedence over that fallback.
• Pass --no-log to skip the JSONL write for a single call. Set COWORKER_NO_LOG=1 to disable globally.
• Corpus logging (the actual messages sent to the model) is off by default. Set COWORKER_LOG_CORPUS=1 only if you understand what gets persisted to disk — see docs/logging-privacy.md.

Use with Claude Code

coworker was designed to pair with reasoning agents like Claude Code, where the harness can shell out for bulk I/O instead of spending its own context window. See docs/claude-code-integration.md for a delegation pattern.

Optional plugins

• coworker rtk — opt-in integration with Rust Token Killer (RTK). Default-off. coworker rtk enable (since v0.6.0) installs a two-step PreToolUse chain: a vendored passthrough guard that short-circuits 13 default signal-bearing git/gh commands (git push, git status, gh release, …) so they execute against the real binary without RTK rewriting, then the standard RTK hook for everything else. CRUD surface: coworker rtk passthrough add|list|remove. See docs/rtk-plugin.md § Signal / bulk passthrough for the full default allowlist and effectiveness table. One-time Codex hook approval prompt on first session after enable.

Runtime parity

Runtime	Install command	Hook integration	Bulk-read economy via RTK	Status
Claude Code	coworker rtk install + enable	Native PreToolUse hook	Full (with passthrough guard)	Primary
Codex CLI	same	PATH-shim layer (vendored)	Full (with passthrough guard)	Parity
Cursor	coworker rtk install + enable	Native beforeShellExecution hook (rtk hook cursor)	Full (with passthrough guard)	Parity

Cursor. Cursor Agent has no Claude-style PreToolUse hook, but it exposes a native beforeShellExecution hook. coworker rtk enable installs a beforeShellExecution entry in ~/.cursor/hooks.json that runs rtk hook cursor, which rewrites bulk commands to rtk <cmd> (compacted output) and passes signal commands through — the same token economy as Claude Code and Codex CLI. Verified live: inside cursor-agent, ls -la /tmp returns the rtk-compacted form rather than raw ls bytes. No shell-rc mutation is involved — cursor-agent builds its own login-shell PATH, so a PATH-shim would not survive to command execution; the native hook is the correct, scoped surface.

Documentation

• docs/installation.md
• docs/provider-setup.md
• docs/configuration.md
• docs/logging-privacy.md
• docs/claude-code-integration.md
• docs/rtk-plugin.md
• docs/release-verification.md
• docs/troubleshooting.md

License

MIT — see LICENSE.