Mohamed BoudraandGitHub
f91806defe
* feat(voice): configure OpenAI STT and TTS endpoints separately
Replace providers.openai.voice (a single apiKey/baseUrl shared by
speech-to-text and text-to-speech) with independent providers.openai.stt
and providers.openai.tts, each carrying its own apiKey/baseUrl. STT and
TTS now resolve fully independently, so they can point at different
OpenAI-compatible endpoints. The env equivalents OPENAI_VOICE_API_KEY /
OPENAI_VOICE_BASE_URL split into OPENAI_STT_* and OPENAI_TTS_*.
No backcompat: the voice key is removed and no longer read. Each feature
still falls back to providers.openai.apiKey/baseUrl, then OPENAI_API_KEY/
OPENAI_BASE_URL. Composer dictation resolves from the STT endpoint.
* fix(voice): keep daemon bootable and respect global OpenAI key
Two issues from review of the STT/TTS endpoint split:
- A config from an older release that still sets providers.openai.voice
crashed daemon startup, because the strict schema rejects the now-unknown
key. Strip it before parsing (alongside the existing local.autoDownload
strip) so the daemon boots; the value is discarded, not migrated.
- An empty endpoint env var (e.g. a copied .env.example leaving
OPENAI_STT_API_KEY= blank) shadowed the OPENAI_API_KEY fallback, so
speech was reported as missing credentials despite a configured global
key. firstDefined now skips empty/whitespace strings.
* fix(voice): isolate STT and TTS option parsing per endpoint
An STT-only OpenAI setup could be broken by a stale or invalid TTS env
var (e.g. a leftover TTS_VOICE/TTS_MODEL), because the single resolution
schema validated both endpoints' option groups before the per-endpoint
gate. Split into endpoint-key, STT-option, and TTS-option schemas and
parse each option group only when that endpoint has credentials, so an
unused endpoint's bad env can no longer take down the configured one.
* fix(voice): tag voice-config shim and update direct-daemon test callers
- Mark the providers.openai.voice strip with a COMPAT(openaiVoiceConfig)
comment + removal date so it shows up in the back-compat cleanup
inventory, per repo convention.
- Update the tests that build the daemon directly with a resolved OpenAI
config (bootstrap smoke + the real-API voice/daemon e2e suites) to the
new { stt, tts } shape; the old top-level { apiKey } is no longer read,
and these files are excluded from typecheck so the break was silent.
* fix(voice): update voice-roundtrip debug script to new OpenAI config shape
Last direct daemon caller still passing the removed top-level
openai: { apiKey }; the debug script lives outside tsconfig.scripts.json
so the stale shape wasn't caught by typecheck. Use { stt, tts }.
Paseo
One interface for Claude Code, Codex, Copilot, OpenCode, and Pi agents.
Note
I'm a solo maintainer and don't always keep up with GitHub Issues daily. If something is urgent or blocking you, Discord is the fastest place to reach me.
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Prerequisites
You need at least one agent CLI installed and configured with your credentials:
Desktop app (recommended)
Download it from paseo.sh/download or the GitHub releases page. Open the app and the daemon starts automatically. Nothing else to install.
To connect from your phone, scan the QR code shown in Settings.
CLI / headless
Install the CLI and start Paseo:
npm install -g @getpaseo/cli
paseo
This shows a QR code in the terminal. Connect from any client. This path is useful for servers and remote machines.
For full setup and configuration, see:
Docker
Run the Paseo daemon and self-hosted web UI in Docker:
docker run -d --name paseo \
-p 6767:6767 \
-e PASEO_PASSWORD=change-me \
-v "$PWD/paseo-home:/home/paseo" \
-v "$PWD:/workspace" \
ghcr.io/getpaseo/paseo:latest
Open http://localhost:6767 after it starts. Extend the base image with the agent CLIs you use, then provide credentials through environment variables or the persistent /home/paseo volume. See the Docker documentation for full setup details.
CLI
Everything you can do in the app, you can do from the terminal.
paseo run --provider claude/opus-4.6 "implement user authentication"
paseo run --provider codex/gpt-5.4 --worktree feature-x "implement feature X"
paseo ls # list running agents
paseo attach abc123 # stream live output
paseo send abc123 "also add tests" # follow-up task
# run on a remote daemon
paseo --host workstation.local:6767 run "run the full test suite"
See the full CLI reference for more.
Skills
Skills teach your agent to use Paseo to orchestrate other agents.
npx skills add getpaseo/paseo
Then use them in any agent conversation:
/paseo-handoff— hand off work between agents. I use this to plan with Claude and then handoff to Codex to implement./paseo-loop— loop an agent against clear acceptance criteria (aka Ralph loops), optionally with a verifier./paseo-advisor— spin up a single agent as an advisor for a second opinion, without delegating the work itself./paseo-committee— form a committee of two contrasting agents to step back, do root cause analysis, and produce a plan.
Development
Quick monorepo package map:
packages/server: Paseo daemon (agent process orchestration, WebSocket API, MCP server)packages/app: Expo client (iOS, Android, web)packages/cli:paseoCLI for daemon and agent workflowspackages/desktop: Electron desktop apppackages/relay: Relay package for remote connectivitypackages/website: Marketing site and documentation (paseo.sh)
Common commands:
# run all local dev services
npm run dev
# run individual surfaces
npm run dev:server
npm run dev:app
npm run dev:desktop
npm run dev:website
# build the server stack
npm run build:server
# repo-wide checks
npm run typecheck
Community
- paseo-relay — self-hosted relay in Go
License
AGPL-3.0