* remove Vercel AI Gateway provider and Vercel Sandbox terminal backend
Both Vercel-hosted integrations are removed end-to-end. Users on the AI
Gateway should switch to OpenRouter or one of the other aggregators
(Nous Portal, Kilo Code). Users on the Vercel Sandbox backend should
switch to Docker, Modal, Daytona, or SSH.
What's removed:
- `plugins/model-providers/ai-gateway/` provider plugin
- `hermes_cli/vercel_auth.py` Vercel-Sandbox auth helper
- `tools/environments/vercel_sandbox.py` terminal backend
- `ai-gateway` provider wiring across auth, doctor, setup, models,
config, status, providers, main, web_server, model_normalize, dump
- `vercel_sandbox` backend wiring across terminal_tool, file_tools,
code_execution_tool, file_operations, approval, skills_tool,
environments/local, credential_files, lazy_deps, prompt_builder,
cli, gateway/run
- `AI_GATEWAY_BASE_URL` constant, `_AI_GATEWAY_HEADERS` auxiliary-client
header set, run_agent base-URL header/reasoning special-cases
- `[vercel]` pyproject extra and `vercel`/`vercel-workers` from uv.lock
- env vars: `AI_GATEWAY_API_KEY`, `AI_GATEWAY_BASE_URL`, `VERCEL_TOKEN`,
`VERCEL_PROJECT_ID`, `VERCEL_TEAM_ID`, `VERCEL_OIDC_TOKEN`,
`TERMINAL_VERCEL_RUNTIME`
- Tests: deletes test_ai_gateway_models.py and
test_vercel_sandbox_environment.py; scrubs references across 23
surviving test files (no entire tests deleted unless they were
dedicated to AI Gateway / Sandbox)
- Docs: provider tables, env-var reference, setup guides, security
notes, tool config, terminal-backend tables — English plus zh-Hans
i18n parity
- `hermes-agent` skill: provider table entry and remote-backend list
What stays (intentional):
- `popular-web-designs/templates/vercel.md` — CSS design reference,
unrelated to Vercel-the-AI-product
- `x-vercel-id` in `stream_diag.py` headers — generic Vercel CDN
response header, useful diag signal on any Vercel-hosted endpoint
- `vercel-labs/agent-browser` URL in browser config — lightpanda
browser project, different OSS effort
- `userStories.json` historical contributor entry mentioning Vercel
Sandbox — archive, not active docs
Validation:
- 1153 tests in the 22 targeted files pass (`scripts/run_tests.sh`)
- Full repo `py_compile` clean
- Live import of every touched module + invariant check (no
`ai-gateway` in `PROVIDER_REGISTRY`, no `_AI_GATEWAY_HEADERS`, no
`vercel_sandbox` in `_REMOTE_TERMINAL_BACKENDS`)
* test: convert profile-count check from change-detector to invariant
The hardcoded "== 34" assertion broke when ai-gateway was removed.
Per AGENTS.md change-detector-test guidance, assert the relationship
(registry count >= number of plugin dirs) instead of a literal count.
Counts shift when providers are added/removed; that's expected.
Delete the stale literal `_PROVIDER_MODELS["ai-gateway"]` (gpt-5,
gemini-2.5-pro, claude-4.5 — outdated the moment PR #13223 landed with
its curated `AI_GATEWAY_MODELS` snapshot) and derive it from
`AI_GATEWAY_MODELS` instead, so the picker tuples and the bare-id
fallback catalog stay in sync automatically. Also fixes
`get_default_model_for_provider('ai-gateway')` to return kimi-k2.6
(the curated recommendation) instead of claude-opus-4.6.
When the live Vercel AI Gateway catalog exposes a Moonshot model with
zero input AND output pricing, it's promoted to position #1 as the
recommended default — even if the exact ID isn't in the curated
AI_GATEWAY_MODELS list. This enables dynamic discovery of new free
Moonshot variants without requiring a PR to update curation.
Paid Moonshot models are unaffected; falls back to the normal curated
recommended tag when no free Moonshot is live.
- Curated AI_GATEWAY_MODELS list in hermes_cli/models.py (OSS first,
kimi-k2.5 as recommended default).
- fetch_ai_gateway_models() filters the curated list against the live
/v1/models catalog; falls back to the snapshot on network failure.
- fetch_ai_gateway_pricing() translates Vercel's input/output field
names to the prompt/completion shape the shared picker expects;
carries input_cache_read / input_cache_write through unchanged.
- get_pricing_for_provider() now handles ai-gateway.
- _model_flow_ai_gateway() provides a guided URL prompt when no key
is set and a pricing-column picker; routes ai-gateway to it instead
of the generic api-key flow.
