The /responses proxy endpoint only required authentication via
get_verified_user but did not check per-model access grants. This
allowed any authenticated user to access any model through this
endpoint, bypassing the access control system.
Extract a shared check_model_access helper into utils/access_control
and replace all inline access control blocks across openai.py and
ollama.py (7 locations) with calls to this helper. This eliminates
code duplication and prevents future policy drift between endpoints.
CWE-862: Missing Authorization
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:H (6.5 Medium)
Introduces REDIS_HEALTH_CHECK_INTERVAL and wires it through to every
Redis client created by get_redis_connection (plain, cluster and
sentinel paths, sync and async). When set, redis-py will PING any
connection idle longer than the interval on checkout, so dead sockets
are surfaced as reconnectable errors before a real command lands on
them.
Defaults to unset (empty string) so existing deployments see no
behavioural change. Operators who want the protection should set it
shorter than the Redis server `timeout` setting and any firewall/LB
idle timeout on the path to Redis.
Co-authored-by: Claude <noreply@anthropic.com>
Introduces REDIS_SOCKET_KEEPALIVE and wires socket_keepalive=True
through to every Redis client created by get_redis_connection
(plain, cluster and sentinel paths, sync and async). When enabled,
the kernel sends TCP keepalive probes on idle connections so
half-closed sockets (e.g. after a silent firewall/LB reset or a NIC
flap) are detected before the next command lands on them and the
request never sees a "Connection reset by peer" error.
Defaults to off so existing deployments see no behavioural change.
Operators who want the protection set REDIS_SOCKET_KEEPALIVE=true
in their environment.
Co-authored-by: Claude <noreply@anthropic.com>
* fix(redis): honor REDIS_SOCKET_CONNECT_TIMEOUT on non-sentinel clients
Previously only the sentinel path passed REDIS_SOCKET_CONNECT_TIMEOUT
through to the Redis client. Plain redis:// and cluster URLs fell back
to redis-py's default (no explicit connect timeout), so a hung Redis
or a black-holed network path could stall the whole worker until the
kernel gave up. Forwarding the same env var to from_url()/RedisCluster
keeps the behavior consistent across all deployment topologies.
* fix(redis): gate socket_connect_timeout on is-not-None, not truthiness
Addresses review feedback: the truthiness check on REDIS_SOCKET_CONNECT_TIMEOUT
silently dropped an explicit 0 value and was inconsistent with the sentinel
construction path, which forwards the value directly. Switch to `is not None`
so any user-configured value (including 0) is passed through to from_url()
and RedisCluster.from_url().
---------
Co-authored-by: Claude <noreply@anthropic.com>
Using user.id as client_id causes WebSocket deadlocks when the same
user generates images concurrently (e.g., multi-model chat). ComfyUI
routes messages by clientId, so shared IDs mean only one connection
receives the completion — others hang forever.
Generate a unique UUID per request, matching ComfyUI's own examples.
Ollama recently added Responses API support via its OpenAI-compatible
endpoint (/v1/responses). This adds a proxy endpoint to the Ollama
router that forwards requests to Ollama's /v1/responses, applying
the same model resolution, access control, and prefix_id handling
used by the existing /v1/chat/completions and /v1/messages proxies.
Uses a typed ResponsesForm Pydantic model with required model field
and extra='allow' for forward compatibility, consistent with other
endpoint schemas in the file.
This allows API consumers (Codex, Claude Code, etc.) to use the
Responses API directly with Ollama-hosted models without requiring
a separate OpenAI-compatible connection.
Azure offers two URL formats: the legacy deployment-based format
(/openai/deployments/{model}/...) and the newer v1 format
(/openai/v1/...) where the model stays in the payload body and no
api-version query parameter is needed.
Previously, the code always ran convert_to_azure_payload which
rewrites the URL to the deployment format, causing 404 errors for
users with v1-style base URLs. Now, when the base URL contains
'/openai/v1', we skip deployment URL construction and route
directly.
Applied consistently across all three Azure routing paths:
generate_chat_completion, /responses proxy, and generic proxy.
The built-in search_web tool hardcoded count=5 as the default,
ignoring the admin-configured WEB_SEARCH_RESULT_COUNT setting.
When the LLM did not specify a count, the tool always returned 5
results regardless of admin configuration.
Now the tool defaults to the admin-configured value when the LLM
omits the count parameter, while still capping LLM-requested
values at the admin maximum to prevent abuse.
Closes#23485
