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Update changelog and add coming-soon warnings to deploy guide stubs
Update 2026-03-07 changelog with Completions API, Sprites sandbox, removed endpoints, and additional fixes. Replace plain text on deploy guide stub pages with Warning callouts. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Bryan Helmkamp
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@ -3,4 +3,6 @@ title: "Digital Ocean"
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description: "Deploy Arc to Digital Ocean"
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---
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Coming soon.
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<Warning>
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This guide is coming soon. Deployment guides are currently in development.
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</Warning>
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@ -3,4 +3,6 @@ title: "Fly.io"
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description: "Deploy Arc to Fly.io"
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---
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Coming soon.
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<Warning>
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This guide is coming soon. Deployment guides are currently in development.
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</Warning>
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@ -3,4 +3,6 @@ title: "Railway"
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description: "Deploy Arc to Railway"
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---
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Coming soon.
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<Warning>
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This guide is coming soon. Deployment guides are currently in development.
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</Warning>
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@ -3,4 +3,6 @@ title: "Render"
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description: "Deploy Arc to Render"
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---
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Coming soon.
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<Warning>
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This guide is coming soon. Deployment guides are currently in development.
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</Warning>
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@ -1,25 +1,33 @@
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---
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title: "Models API, exe.dev sandboxes, and auto-install agent CLIs"
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title: "Completions API, Sprites and exe.dev sandboxes, auto-install agent CLIs"
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date: "2026-03-07"
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---
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## exe.dev sandbox provider (beta)
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## Completions API with SSE streaming
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Arc can now run agent stages inside ephemeral [exe.dev](https://exe.dev) VMs as an alternative to Daytona sandboxes. The new `arc-exe` crate manages VM lifecycle through SSH — a management plane connection to `exe.dev` for creating and destroying VMs, and a data plane connection to the VM itself for command execution and file I/O.
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Arc now exposes a `POST /completions` endpoint for single-turn LLM completions. You can use it for structured output via JSON Schema, one-off prompts, or building custom frontends on top of Arc's model routing. Streaming uses Anthropic-style SSE events (`message_start`, `content_block_delta`, `message_stop`, etc.), so you get tokens as they're generated rather than waiting for the full response.
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The CLI's `arc llm prompt` command can now target the server instead of calling providers directly:
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```bash
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arc llm prompt "Summarize this file" --mode server
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```
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## Two new sandbox providers: exe.dev and Sprites
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Arc now supports three sandbox environments for running agent stages. In addition to Daytona, you can now use **exe.dev** VMs or **Sprites** (powered by Fly.io).
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exe.dev (beta) manages ephemeral VMs through SSH with separate management and data plane connections. Sprites uses the `sprite` CLI to provision Fly.io VMs with full sandbox lifecycle support.
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```toml title="run.toml"
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[execution]
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environment = "exe"
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environment = "exe" # or "sprites" or "daytona"
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```
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## Auto-install agent CLIs in sandboxes
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Agent CLI tools (like `claude` or `codex`) are now automatically detected and installed inside sandboxes at runtime when they're missing. This includes installing Node.js via NodeSource if needed. Previously, you had to build custom Dockerfiles that pre-installed every CLI tool your workflow used.
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## Updated model catalog
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The default OpenAI model has been upgraded from gpt-5.3 to **gpt-5.4**. New models added to the catalog include **gpt-5.3-codex-spark** and **claude-sonnet-4-6**. Model defaults are now centralized in the catalog rather than hardcoded across crates.
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<Warning>
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**Verification API paths have changed.** `/verifications` is now split into `/verification/criteria` and `/verification/controls`. The run sub-resource moved from `/runs/{id}/verifications` to `/runs/{id}/verification`.
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@ -28,9 +36,18 @@ To migrate:
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2. Update any direct API calls to use the new paths
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</Warning>
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<Warning>
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**Removed API endpoints.** The following endpoints have been removed:
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- `GET /projects` and `GET /projects/{name}/branches` — projects and branches are no longer exposed via the API
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- `POST /workflows/{name}/runs` — use `POST /runs` instead (identical functionality)
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To migrate, regenerate your TypeScript client and update any direct API calls.
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</Warning>
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## More
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<Accordion title="API">
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- New `POST /completions` endpoint for single-turn LLM completions with SSE streaming and structured output via JSON Schema
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- New `GET /models` endpoint exposes the full LLM model catalog via the REST API with pagination
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- Verification API reorganized: `/verifications` split into `/verification/criteria` and `/verification/controls`; run sub-resource path is now `/runs/{id}/verification`
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</Accordion>
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@ -38,13 +55,24 @@ To migrate:
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<Accordion title="Workflows">
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- Stage logs now stream in real-time while CLI agents are working, so you can see progress before a stage finishes
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- Sub-workflow context diffs no longer leak child engine-internal keys (`internal.*`, `graph.*`, `thread.*`) into the parent run
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- Configurable git author identity for checkpoint commits via `[git.author]` in `server.toml` or `cli.toml`
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</Accordion>
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<Accordion title="CLI">
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- `arc llm prompt --mode server` routes prompts through the Arc server instead of calling providers directly
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- Turn and tool-call counts now display correctly in non-TTY mode
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</Accordion>
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<Accordion title="Improvements">
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- Default OpenAI model upgraded from gpt-5.3 to gpt-5.4
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- New models added to catalog: gpt-5.3-codex-spark and claude-sonnet-4-6
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- `apply_patch` parser now accepts bare `@@` hunk headers (compatibility with GPT-5.4 output)
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</Accordion>
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<Accordion title="Fixes">
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- Fixed stall watchdog killing agents during long LLM reasoning turns — streaming events now correctly reset the timer
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- Fixed OpenAI reasoning SSE events being silently swallowed, causing stall watchdog to fire during extended reasoning phases
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- Fixed orphaned OpenAI reasoning items after context compaction causing "item provided without required following item" errors
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- Fixed push credentials for public repos in Daytona sandboxes
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- Fixed Daytona CLI installation with rootless Node.js install and better error messages
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</Accordion>
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