Waleed 623003e43b fix(providers): name the failing phase of a stalled OpenAI call, and reject a failed generation (#6283)
* fix(providers): name the failing phase of a stalled OpenAI call, and reject a failed generation

An agent block hung ~4.5 minutes with an empty trace and surfaced only the
runtime's own `TimeoutError: The operation timed out.` The cause was a runaway
generation: the model repeated one tool call until it consumed the whole
128,000-token output budget, which takes minutes, and `/v1/responses` withholds
its 200 until generation finishes — so the client waited, bounded only by an
undocumented runtime socket deadline, and gave up before the response existed.

Nothing in the trace could distinguish that from a request the provider never
answered, or from one whose body never arrived.

- Name the phase a transport failure died in — `awaiting-response-headers` vs
  `reading-response-body` — with status, ttfb, content-length and
  `x-request-id`. undici draws the same line as two error types
  (UND_ERR_HEADERS_TIMEOUT / UND_ERR_BODY_TIMEOUT); the OpenAI SDK captures
  `x-request-id` for the same reason. It rides the error message because that
  reaches the trace span, which survives when a task stops shipping logs.
- Carry the cause through `ProviderError` so a transport timeout still
  classifies after wrapping overwrites `name`.
- Reject a 200 that reports a failed or unusable generation instead of
  returning empty content with billed tokens, and stop truncated tool calls
  from executing. Matches `streamResponsesTurn`, which already did this, and
  `@ai-sdk/openai`, which throws on the same condition.
- Bound non-JSON error bodies so a gateway error page cannot become the
  user-facing block error.

Deliberately not included: a response-body deadline (the observed failure is in
the headers phase, and the body transfers in ~1ms) and status-based retries
(worth doing, unrelated to this, and separable).

* test(providers): pin that a structured provider error survives the error-body bound

* chore(providers): trim comments to the non-obvious why

* fix(providers): let a deadline while reading an error body propagate

* fix(providers): name the body phase when an error body read fails
2026-08-04 23:17:37 -07:00

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Sim — Integrate, Context, Build, and Monitor AI agents

A workspace to build, deploy and manage AI agents and workflows.

Quickstart

Cloud-hosted: sim.ai

Open sim.ai

Self-hosted

git clone https://github.com/simstudioai/sim.git && cd sim
bun install
bun run setup

Open http://localhost:3000

The Sim platform — chat on the left, the visual workflow builder on the right

Capabilities

  • Connect 1,000+ integrations and every major LLM
  • Add Slack, Notion, HubSpot, Salesforce, databases, and more
  • Build agents visually, conversationally, or with code
  • Ingest files, knowledge bases, and structured table data
  • Monitor runs, logs, schedules, and workflow activity

One workspace, every surface

Chat and workflows are just the start — tables, files, and knowledge all live in the same workspace.

Tables in Sim — structured data your agents can query

Tables — a database, built in

Files in Sim — documents for your team and every agent

Files — one store for your team and every agent

Knowledge bases in Sim — synced docs your agents can search

Knowledge — your agents' memory

Self-hosting

Requirements: Bun and Docker.

bun run setup is an interactive wizard: it provisions the database, generates secrets, writes your .env files, connects a Chat API key, and starts Sim the way you choose:

  • Local dev — run from source to contribute or hack on Sim
  • Docker Compose — a self-contained instance for testing self-hosting
  • Kubernetes (Helm) — deploy to a local cluster

When it finishes, open http://localhost:3000.

Reconfigure an optional capability without rerunning the full wizard:

bun run setup status
bun run setup email
bun run setup storage
bun run setup sandbox
bun run setup jobs
bun run setup cache
bun run setup knowledge
bun run setup llm
bun run setup integration slack

bun run setup status detects the effective local-dev, Docker Compose, or current-context Helm configuration and reports configured, missing, or invalid capabilities and OAuth integrations without printing credential values. This is separate from bun run sim status, which reports whether installed services are running and healthy.

Manage your install with bun run sim:

bun run sim start | stop | restart   # bring your install up / down / cycle
bun run sim status                    # what's installed and healthy
bun run sim logs                      # follow logs
bun run sim doctor                    # diagnose configuration problems
bun run sim down                      # remove containers (data kept)
bun run sim reset                     # archive .env and wipe managed data

sim detects how you're running (Docker Compose, local dev, or Kubernetes) and acts accordingly.

Prefer a bare sim? Run bun link once — but note sim lands in ~/.bun/bin, which Homebrew's bun doesn't add to your PATH, so you may need export PATH="$HOME/.bun/bin:$PATH" in your shell profile.

Sim also supports local models via Ollama and vLLM. See the self-hosting docs for details.

Chat API Keys

Chat is a Sim-managed service. bun run setup connects a Chat API key for you — sign in when it opens your browser and the key is stored automatically. To view, create, or revoke keys later, go to sim.ai/selfhost/settings/chat-keys.

Environment Variables

See the environment variables reference for the full list, or apps/sim/.env.example for defaults.

Tech Stack

Next.js · Bun · PostgreSQL · Drizzle · Better Auth · Tailwind — and the rest of the stack

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Built by the Sim team in San Francisco

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