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feat(xai-oauth): add xAI Grok OAuth (SuperGrok Subscription) provider
Adds a new authentication provider that lets SuperGrok subscribers sign in to Hermes with their xAI account via the standard OAuth 2.0 PKCE loopback flow, instead of pasting a raw API key from console.x.ai. Highlights ---------- * OAuth 2.0 PKCE loopback login against accounts.x.ai with discovery, state/nonce, and a strict CORS-origin allowlist on the callback. * Authorize URL carries `plan=generic` (required for non-allowlisted loopback clients) and `referrer=hermes-agent` for best-effort attribution in xAI's OAuth server logs. * Token storage in `auth.json` with file-locked atomic writes; JWT `exp`-based expiry detection with skew; refresh-token rotation synced both ways between the singleton store and the credential pool so multi-process / multi-profile setups don't tear each other's refresh tokens. * Reactive 401 retry: on a 401 from the xAI Responses API, the agent refreshes the token, swaps it back into `self.api_key`, and retries the call once. Guarded against silent account swaps when the active key was sourced from a different (manual) pool entry. * Auxiliary tasks (curator, vision, embeddings, etc.) route through a dedicated xAI Responses-mode auxiliary client instead of falling back to OpenRouter billing. * Direct HTTP tools (`tools/xai_http.py`, transcription, TTS, image-gen plugin) resolve credentials through a unified runtime → singleton → env-var fallback chain so xai-oauth users get them for free. * `hermes auth add xai-oauth` and `hermes auth remove xai-oauth N` are wired through the standard auth-commands surface; remove cleans up the singleton loopback_pkce entry so it doesn't silently reinstate. * `hermes model` provider picker shows "xAI Grok OAuth (SuperGrok Subscription)" and the model-flow falls back to pool credentials when the singleton is missing. Hardening --------- * Discovery and refresh responses validate the returned `token_endpoint` host against the same `*.x.ai` allowlist as the authorization endpoint, blocking MITM persistence of a hostile endpoint. * Discovery / refresh / token-exchange `response.json()` calls are wrapped to raise typed `AuthError` on malformed bodies (captive portals, proxy error pages) instead of leaking JSONDecodeError tracebacks. * `prompt_cache_key` is routed through `extra_body` on the codex transport (sending it as a top-level kwarg trips xAI's SDK with a TypeError). * Credential-pool sync-back preserves `active_provider` so refreshing an OAuth entry doesn't silently flip the active provider out from under the running agent. Testing ------- * New `tests/hermes_cli/test_auth_xai_oauth_provider.py` (~63 tests) covers JWT expiry, OAuth URL params (plan + referrer), CORS origins, redirect URI validation, singleton↔pool sync, concurrency races, refresh error paths, runtime resolution, and malformed-JSON guards. * Extended `test_credential_pool.py`, `test_codex_transport.py`, and `test_run_agent_codex_responses.py` cover the pool sync-back, `extra_body` routing, and 401 reactive refresh paths. * 165 tests passing on this branch via `scripts/run_tests.sh`.
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27 changed files with 3843 additions and 131 deletions
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@ -31,7 +31,7 @@ from agent.image_gen_provider import (
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save_b64_image,
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success_response,
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)
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from tools.xai_http import hermes_xai_user_agent
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from tools.xai_http import hermes_xai_user_agent, resolve_xai_http_credentials
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logger = logging.getLogger(__name__)
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@ -39,14 +39,17 @@ logger = logging.getLogger(__name__)
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# Model catalog
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# ---------------------------------------------------------------------------
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API_MODEL = "grok-imagine-image"
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_MODELS: Dict[str, Dict[str, Any]] = {
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"grok-imagine-image": {
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"display": "Grok Imagine Image",
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"speed": "~5-10s",
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"strengths": "Fast, high-quality",
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},
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"grok-imagine-image-quality": {
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"display": "Grok Imagine Image (Quality)",
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"speed": "~10-20s",
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"strengths": "Higher fidelity / detail; slower than the standard model.",
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},
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}
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DEFAULT_MODEL = "grok-imagine-image"
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@ -127,7 +130,8 @@ class XAIImageGenProvider(ImageGenProvider):
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return "xAI (Grok)"
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def is_available(self) -> bool:
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return bool(os.getenv("XAI_API_KEY"))
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creds = resolve_xai_http_credentials()
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return bool(creds.get("api_key"))
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def list_models(self) -> List[Dict[str, Any]]:
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return [
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@ -141,17 +145,16 @@ class XAIImageGenProvider(ImageGenProvider):
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]
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def get_setup_schema(self) -> Dict[str, Any]:
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# Auth resolution is delegated to the shared ``xai_grok`` post_setup
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# hook (``hermes_cli/tools_config.py``); identical to the TTS / video
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# gen entries so users see the same OAuth-or-API-key choice for every
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# xAI service.
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return {
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"name": "xAI (Grok)",
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"name": "xAI Grok Imagine (image)",
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"badge": "paid",
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"tag": "Native xAI image generation via grok-imagine-image",
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"env_vars": [
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{
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"key": "XAI_API_KEY",
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"prompt": "xAI API key",
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"url": "https://console.x.ai/",
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},
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],
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"tag": "grok-imagine-image — text-to-image; uses xAI Grok OAuth or XAI_API_KEY",
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"env_vars": [],
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"post_setup": "xai_grok",
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}
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def generate(
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@ -161,12 +164,14 @@ class XAIImageGenProvider(ImageGenProvider):
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**kwargs: Any,
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) -> Dict[str, Any]:
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"""Generate an image using xAI's grok-imagine-image."""
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api_key = os.getenv("XAI_API_KEY", "").strip()
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creds = resolve_xai_http_credentials()
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api_key = str(creds.get("api_key") or "").strip()
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provider_name = str(creds.get("provider") or "xai").strip() or "xai"
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if not api_key:
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return error_response(
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error="XAI_API_KEY not set. Get one at https://console.x.ai/",
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error="No xAI credentials found. Configure xAI OAuth in `hermes model` or set XAI_API_KEY.",
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error_type="missing_api_key",
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provider="xai",
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provider=provider_name,
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aspect_ratio=aspect_ratio,
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)
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@ -177,7 +182,7 @@ class XAIImageGenProvider(ImageGenProvider):
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xai_res = resolution if resolution in _XAI_RESOLUTIONS else DEFAULT_RESOLUTION
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payload: Dict[str, Any] = {
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"model": API_MODEL,
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"model": model_id,
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"prompt": prompt,
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"aspect_ratio": xai_ar,
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"resolution": xai_res,
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@ -189,7 +194,7 @@ class XAIImageGenProvider(ImageGenProvider):
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"User-Agent": hermes_xai_user_agent(),
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}
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base_url = (os.getenv("XAI_BASE_URL") or "https://api.x.ai/v1").strip().rstrip("/")
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base_url = str(creds.get("base_url") or "https://api.x.ai/v1").strip().rstrip("/")
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try:
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response = requests.post(
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@ -210,7 +215,7 @@ class XAIImageGenProvider(ImageGenProvider):
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return error_response(
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error=f"xAI image generation failed ({status}): {err_msg}",
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error_type="api_error",
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provider="xai",
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provider=provider_name,
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model=model_id,
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prompt=prompt,
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aspect_ratio=aspect,
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@ -219,7 +224,7 @@ class XAIImageGenProvider(ImageGenProvider):
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return error_response(
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error="xAI image generation timed out (120s)",
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error_type="timeout",
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provider="xai",
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provider=provider_name,
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model=model_id,
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prompt=prompt,
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aspect_ratio=aspect,
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@ -228,7 +233,7 @@ class XAIImageGenProvider(ImageGenProvider):
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return error_response(
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error=f"xAI connection error: {exc}",
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error_type="connection_error",
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provider="xai",
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provider=provider_name,
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model=model_id,
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prompt=prompt,
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aspect_ratio=aspect,
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@ -240,7 +245,7 @@ class XAIImageGenProvider(ImageGenProvider):
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return error_response(
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error=f"xAI returned invalid JSON: {exc}",
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error_type="invalid_response",
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provider="xai",
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provider=provider_name,
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model=model_id,
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prompt=prompt,
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aspect_ratio=aspect,
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@ -252,7 +257,7 @@ class XAIImageGenProvider(ImageGenProvider):
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return error_response(
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error="xAI returned no image data",
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error_type="empty_response",
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provider="xai",
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provider=provider_name,
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model=model_id,
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prompt=prompt,
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aspect_ratio=aspect,
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