AtFlows

See what your LLM calls cost. One command. No cloud signup.

AtFlows is a local observability tool for LLM applications. Point your SDK at it, see your costs, tokens, and latency in real-time.

python -m pip install atflows==0.1b4
atflows init

AtFlows 0.1b4 is a beta release. AtFlows uses Bun (>=1.1.0) to run its local server. Install Bun before starting the command. The first launch prepares the bundled runtime in ~/.cache/atflows and needs package network access.

atflows init creates a temporary Local Administrator password, starts the server, and opens the sign-in page with it filled in. Choose a permanent password to finish setup. If access is lost, run atflows users recover-administrator; it issues a new temporary password. OTLP ingestion and the model proxy remain available to configured clients.

Dashboard: localhost:1337 by default · Proxy: localhost:8080

Get started

See the setup and connection guide and the integration catalog for provider routes, telemetry, and tool-specific instructions. See the 0.1b4 release notes for this beta's changes and current limitations.

Development

AtFlows is a Bun workspaces monorepo (apps/server, apps/dashboard, plus six packages under packages/). Bun is required.

# Clone and install (one workspace install at root covers every package)
git clone https://github.com/aetna000/atflows.git
cd atflows && bun install

# Server (dashboard on :3000, proxy on :8080)
bun run dev

# Dashboard dev server with HMR (separate terminal, proxies /api + /ws)
bun run dev:dashboard

# Build dashboard for production (outputs to /public/)
bun run build

# Tests
bun run test                # server unit/integration
bun run --filter @atflows/dashboard test    # viewport vitest suite
bun run test:e2e            # Playwright

The dashboard is Svelte 5 + Vite 8 and builds to /public/ at the repo root. The bin entry bin/atflows.js (for the npm workspace) spawns apps/server/src/server.ts directly.

Advanced Features

For advanced usage, see the docs/ folder:

• Observability Backends - Export to Jaeger, Langfuse, Phoenix
• Architecture pathway - Production storage, CLI/MCP, AtMem/AtBot, and Jev requirements
• Spec Kit workflow - Constitution and feature specifications

License

AtFlows changes by Javad Taghia are licensed under Apache 2.0. The inherited LLMFlow code remains subject to its original MIT license and Helge Sverre copyright notice. Both license texts and the NOTICE are included with the Python package.

Credits

AtFlows is a rebrand and continuation of LLMFlow by Helge Sverre. Original code remains under the MIT license in LICENSE-MIT-LLMFLOW. Rebrand, packaging and dashboard work by Javad Taghia.