remove Vercel AI Gateway and Vercel Sandbox (#33067)
* 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.
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Teknium
@@ -1,161 +0,0 @@
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"""AI Gateway model list and pricing translation.
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Vercel AI Gateway exposes ``/v1/models`` with a richer shape than OpenAI's
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spec (type, tags, pricing). The pricing object uses ``input`` / ``output``
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where hermes's shared picker expects ``prompt`` / ``completion``; these tests
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pin the translation and the curated-list filtering.
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"""
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import json
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from unittest.mock import patch, MagicMock
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from hermes_cli import models as models_module
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from hermes_cli.models import (
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VERCEL_AI_GATEWAY_MODELS,
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_ai_gateway_model_is_free,
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fetch_ai_gateway_models,
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fetch_ai_gateway_pricing,
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)
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def _mock_urlopen(payload):
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"""Build a urlopen() context manager mock returning the given payload."""
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resp = MagicMock()
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resp.read.return_value = json.dumps(payload).encode()
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ctx = MagicMock()
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ctx.__enter__.return_value = resp
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ctx.__exit__.return_value = False
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return ctx
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def _reset_caches():
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models_module._ai_gateway_catalog_cache = None
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models_module._pricing_cache.clear()
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def test_ai_gateway_pricing_translates_input_output_to_prompt_completion():
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_reset_caches()
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payload = {
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"data": [
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{
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"id": "moonshotai/kimi-k2.5",
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"type": "language",
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"pricing": {
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"input": "0.0000006",
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"output": "0.0000025",
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"input_cache_read": "0.00000015",
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"input_cache_write": "0.0000006",
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},
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}
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_pricing(force_refresh=True)
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entry = result["moonshotai/kimi-k2.5"]
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assert entry["prompt"] == "0.0000006"
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assert entry["completion"] == "0.0000025"
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assert entry["input_cache_read"] == "0.00000015"
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assert entry["input_cache_write"] == "0.0000006"
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def test_ai_gateway_pricing_returns_empty_on_fetch_failure():
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_reset_caches()
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with patch("urllib.request.urlopen", side_effect=OSError("network down")):
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result = fetch_ai_gateway_pricing(force_refresh=True)
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assert result == {}
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def test_ai_gateway_pricing_skips_entries_without_pricing_dict():
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_reset_caches()
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payload = {
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"data": [
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{"id": "x/y", "pricing": None},
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{"id": "a/b", "pricing": {"input": "0", "output": "0"}},
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_pricing(force_refresh=True)
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assert "x/y" not in result
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assert result["a/b"] == {"prompt": "0", "completion": "0"}
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def test_ai_gateway_free_detector():
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assert _ai_gateway_model_is_free({"input": "0", "output": "0"}) is True
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assert _ai_gateway_model_is_free({"input": "0", "output": "0.01"}) is False
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assert _ai_gateway_model_is_free({"input": "0.01", "output": "0"}) is False
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assert _ai_gateway_model_is_free(None) is False
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assert _ai_gateway_model_is_free({"input": "not a number"}) is False
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def test_fetch_ai_gateway_models_filters_against_live_catalog():
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_reset_caches()
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preferred = [mid for mid, _ in VERCEL_AI_GATEWAY_MODELS]
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live_ids = preferred[:3] # only first three exist live
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payload = {
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"data": [
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{"id": mid, "pricing": {"input": "0.001", "output": "0.002"}}
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for mid in live_ids
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_models(force_refresh=True)
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assert [mid for mid, _ in result] == live_ids
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assert result[0][1] == "recommended"
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def test_fetch_ai_gateway_models_tags_free_models():
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_reset_caches()
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first_id = VERCEL_AI_GATEWAY_MODELS[0][0]
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second_id = VERCEL_AI_GATEWAY_MODELS[1][0]
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payload = {
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"data": [
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{"id": first_id, "pricing": {"input": "0.001", "output": "0.002"}},
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{"id": second_id, "pricing": {"input": "0", "output": "0"}},
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_models(force_refresh=True)
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by_id = dict(result)
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assert by_id[first_id] == "recommended"
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assert by_id[second_id] == "free"
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def test_free_moonshot_model_auto_promoted_to_top_even_if_not_curated():
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_reset_caches()
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first_curated = VERCEL_AI_GATEWAY_MODELS[0][0]
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unlisted_free_moonshot = "moonshotai/kimi-coder-free-preview"
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payload = {
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"data": [
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{"id": first_curated, "pricing": {"input": "0.001", "output": "0.002"}},
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{"id": unlisted_free_moonshot, "pricing": {"input": "0", "output": "0"}},
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_models(force_refresh=True)
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assert result[0] == (unlisted_free_moonshot, "recommended")
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assert any(mid == first_curated for mid, _ in result)
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def test_paid_moonshot_does_not_get_auto_promoted():
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_reset_caches()
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first_curated = VERCEL_AI_GATEWAY_MODELS[0][0]
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payload = {
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"data": [
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{"id": first_curated, "pricing": {"input": "0.001", "output": "0.002"}},
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{"id": "moonshotai/some-paid-variant", "pricing": {"input": "0.001", "output": "0.002"}},
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]
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}
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with patch("urllib.request.urlopen", return_value=_mock_urlopen(payload)):
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result = fetch_ai_gateway_models(force_refresh=True)
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assert result[0][0] == first_curated
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def test_fetch_ai_gateway_models_falls_back_on_error():
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_reset_caches()
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with patch("urllib.request.urlopen", side_effect=OSError("network")):
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result = fetch_ai_gateway_models(force_refresh=True)
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assert result == list(VERCEL_AI_GATEWAY_MODELS)
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