Members tab column reads this field; dropping it from the type in the
previous revert broke the type check without affecting the reverted
render logic.
MCP server CRUD endpoints (/v1/mcp/server*) were bundled with MCP
tool-call / passthrough endpoints under llm_api_routes, so setting
DISABLE_LLM_API_ENDPOINTS=true on admin-only nodes also blocked the
Admin UI from listing, adding, or attaching MCP servers.
Separate mcp_inference_routes (data-plane, gated by
DISABLE_LLM_API_ENDPOINTS) from mcp_management_routes (control-plane,
gated by DISABLE_ADMIN_ENDPOINTS). Keep mcp_routes as a union for
backward compat with allowed_routes=["mcp_routes"] virtual key configs.
Upgrade is_management_route to pattern-aware matching so
/v1/mcp/server/{path:path} resolves for concrete IDs.
The `_test-unit-services-base.yml` reusable workflow attached every job
to the `integration-postgres` GHA environment to read three "secrets":
DATABASE_URL, POSTGRES_USER, POSTGRES_PASSWORD. These are not secrets —
the postgres service container is spawned per-job on localhost and
destroyed with the job, so the user/password are bootstrap values for a
throwaway container and the URL is always `postgresql://…@localhost:…`.
Each environment attachment produces a "temporarily deployed to
integration-postgres" deployment record, which the PR timeline renders
as a message per matrix shard per push. With 14 proxy-db shards that's
~14 notifications per push, drowning the PR conversation.
Changes:
* Hardcode POSTGRES_USER/POSTGRES_PASSWORD/POSTGRES_DB and the derived
DATABASE_URL in `_test-unit-services-base.yml`.
* Delete the `environment: integration-postgres` attachment.
* Delete the `secrets:` declarations on the reusable workflow and on
the two callers (test-unit-proxy-db.yml, test-unit-security.yml).
* The `services:` container still starts a fresh postgres per job;
the connection string now matches what the container boots up with.
Security review: no regression. The environment wasn't gating anything
real — no protection rules configured, no approval gates, and the
branch restriction is already enforced by `on: push: branches: [...]`
on both caller workflows. Zizmor pedantic-mode findings are identical
before and after (same 6 pre-existing findings, zero new ones).
The `integration-postgres` environment and its three "secrets" in repo
settings are now unreferenced and can be deleted from repo admin.
test_db_schema_migration.py has exactly one test, and that test is mostly
waiting on prisma subprocesses (~170s: prisma migrate deploy + prisma
migrate diff). No CPU-bound Python work inside the test body, and only
one test in the file means xdist's parallelism is unused regardless.
Previous run on commit 5df9f397e6: 10.0m wall-clock for the shard, of
which 4:56 was silence between step start and pytest banner — the cost
of 4 xdist workers each cold-starting (pytest plugin load + litellm
import + pytest-cov instrumentation) so that exactly one of them could
pick up the single test.
Switching to workers: 0 takes the serial pytest branch in the base
workflow, which already handles this case correctly (no -n, no --dist).
Single-process startup instead of 4. Expected wall-clock: ~6m.
Temporary MCP OAuth sessions were kept in process-local memory, so on
multi-instance/LB proxy deployments a session created on instance A could
not be found when the follow-up /server/oauth/{server_id}/... request
landed on instance B.
Persist temporary session records to Redis (encrypted with the existing
proxy encryption helpers) as a best-effort L2 cache alongside the current
in-memory L1. Convert get_cached_temporary_mcp_server to async and await
it from the authorize/token/register OAuth endpoints.
Made-with: Cursor
Vertex multi-region endpoints (e.g. us, eu) use the rep host pattern, not
{geo}-aiplatform.googleapis.com. Regional IDs still contain a hyphen.
common_utils.get_vertex_base_url centralizes the rule for SDK/API URL building.
Proxy pass-through duplicates the same branching in a local get_vertex_base_url
(with trailing slashes) to avoid importing from common_utils there; live
WebSocket passthrough uses the same multi-region host logic for wss://.
Tests cover us/eu for the common_utils helper.
Made-with: Cursor
Relative labels ("today", "in 2 days", "on May 12, 2026") mixed three
shapes in one column, breaking scannability. Always render MMM D, YYYY
for consistency and easier at-a-glance comparison across members.
Two changes:
1. workers: 8 -> 4 on every non-serial proxy-db shard. ubuntu-latest is a
4-core runner; -n 8 oversubscribes 2x and workers block each other
during their cold-start imports (pytest-cov instruments every litellm
module per worker). Measured ~441% CPU locally with -n 8 on 8 cores
(i.e. ~55% effective). Matching -n to physical cores should give
~2x faster worker startup, which is where most of the ~9m wall-clock
per shard goes (7+ minutes is plugin load + xdist imports before any
test runs).
2. Revert the -k split on test_proxy_utils.py. It was split into
proxy-utils-a-h / proxy-utils-i-z as a semantic-adjacent hack; merge
back to a single proxy-utils shard. Still uses --dist=worksteal so
xdist can balance the 188 parametrized cases across workers.
Also drops the now-unused `keyword` input from _test-unit-services-base.yml
and its matching matrix field across all proxy-db entries.
Shard count: 14 -> 13 (+ the assert-shard-coverage guard).
Default GHA matrix job names join every matrix field, producing unreadable
check labels like:
'proxy-db (logging-misc, tests/proxy_unit_tests/test_proxy_reject_logging.py
tests/proxy_unit_tests/test_audit_logs_proxy.py ..., 8, loadscope, "", 15)'
Set the job's display name to '${{ matrix.test-group }}' so each check
shows just 'logging-misc', 'proxy-utils-a-h', etc.
Previous run (13.8m total) was bottlenecked by shards with 9-12m wall-clock.
Setup + xdist spawn + coverage teardown is ~3m per shard, so each shard's
pytest runtime must stay under ~4m to fit inside 7m total.
Observed per-shard pytest times (before split):
db-and-spend 9:08 (170s outlier: test_aaaasschema_migration_check)
proxy-server 7:15
logging-and-callbacks 6:45
guardrails-budget-hooks 6:37
proxy-utils 6:23
auth-and-jwt 6:54
Split 6 shards into 12, keeping key-generation and endpoints-and-responses
(already <7m). Adds a `keyword` input to _test-unit-services-base.yml so
test_proxy_utils.py can be split by -k expression (same file, two runners).
New matrix entries:
auth-and-jwt -> auth-checks + jwt-and-keys
proxy-server -> proxy-server-core + proxy-runtime
logging-and-callbacks -> custom-logging + logging-misc
db-and-spend -> schema-migration (isolated 170s test) + db-and-spend
guardrails-budget-hooks-> guardrails-hooks + budgets
proxy-utils -> proxy-utils-a-h + proxy-utils-i-z (-k split)
The -k expression split is verified to cover every one of the 64 test
functions in test_proxy_utils.py exactly once. The assert-shard-coverage
guard still catches any file not in any shard.
The create-branch job in create-release.yml calls the reusable
create-release-branch.yml workflow, which requires contents: write.
The top-level permissions: {} blocks the inherited default, and only
the release job overrode it, so the nested call failed with:
The nested job 'create-branch' is requesting 'contents: write',
but is only allowed 'contents: none'.
Add the permission at the calling job level so the reusable
workflow is granted what it needs.
The previous `while not self._queue.empty(): await self._queue.join()`
pattern skipped the join entirely when the worker had already dequeued a
task but not yet called task_done(). asyncio.Queue.join() tracks
_unfinished_tasks (incremented by put, decremented by task_done), not
queue depth, so it already handles that case on its own.
Two fixes to proxy-db CI:
1. test_realtime_webrtc_endpoints.py's `proxy_app` fixture mutated the
module-global `proxy_server.master_key` without restoring it, leaking
state into any test that shared the same xdist worker. Under
--dist=loadscope with 2 workers (GHA proxy-endpoints), this caused the
google_endpoints tests to fail with "No api key passed in." because
user_api_key_auth saw a set master_key and a missing API key on the
test request. The fixture now saves and restores the original value.
2. Address the Greptile note that the semantic shard design has no
catch-all, so a new test file added to tests/proxy_unit_tests/ without
a matrix entry would silently skip CI. Adds an assert-shard-coverage
job that enumerates test_*.py files and fails the workflow if any are
not referenced by a matrix entry, with a clear message telling the
author which semantic shard to place it in. All proxy-db shards now
depend on this guard.
Split into two related cleanups:
1. Delete CCI jobs that duplicate GHA coverage:
- mcp_testing (tests/mcp_tests) — already run by test-mcp.yml
- litellm_mapped_tests_proxy_part1/part2 (tests/test_litellm/proxy) —
already run across test-unit-proxy-auth.yml, test-unit-proxy-endpoints.yml,
and test-unit-proxy-infra.yml
Add rag_endpoints and realtime_endpoints to test-unit-proxy-endpoints.yml
(they were only covered by the deleted CCI part2 job).
Remove the corresponding workflow wiring, coverage combine entries, and
upload-coverage dependencies in .circleci/config.yml.
2. Re-shard test-unit-proxy-db.yml from 4 alphabetic buckets to 8 semantic
ones (auth-and-jwt, proxy-server, logging-and-callbacks, db-and-spend,
guardrails-budget-hooks, endpoints-and-responses, plus the existing
serial key-generation and test_proxy_utils.py shards). New test files are
placed in whichever group they belong to instead of reshuffling slices.
Add a dist input to _test-unit-services-base.yml so the test_proxy_utils.py
shard can use --dist=worksteal to spread its ~64 (many parametrized)
functions across workers; the default --dist=loadscope pins a single file
to a single worker, which was the root cause of that shard running 10m+.
The mocked async_increment_cache_pipeline is invoked from Router's
deployment_callback_on_success, registered as an async success callback.
Those callbacks are enqueued to GLOBAL_LOGGING_WORKER and run on a
background task, so the mock may not have been called yet when the test
asserts on it. Flush the worker before asserting.
Previous commit from greptile-apps added a new `when: always` teardown
step without removing the prior `name:`-only step, leaving a `- run`
block with no `command:` — CircleCI config validation rejects that.
Collapse back to a single teardown step that runs on success and
failure.
Two independent deflakes:
1. test_ui_view_spend_logs_unauthorized (unit) was returning 400 instead
of 401/403 when earlier tests in the file left proxy-auth globals
(prisma_client, master_key, user_custom_auth, general_settings,
user_api_key_cache) in a state that let invalid tokens pass auth and
fall through to the endpoint's own start_date/end_date validation.
Add an autouse fixture that pins those globals to their import-time
defaults for every test in the file. Harden the assertion to include
response body so future flakes are diagnosable.
2. test_basic_spend_accuracy (CI job proxy_spend_accuracy_tests) depends
on the Redis transaction buffer flushing spend to Postgres. The buffer
uses a single global pod-lock key (cronjob_lock:db_spend_update_job)
and a single global buffer list key. Pointing the proxy at the shared
remote Redis means concurrent CI pipelines contend for the same lock
and can drain each other's buffer into the wrong database. Add a
start_redis reusable command that boots a per-job redis:7-alpine
container (digest-pinned), and switch proxy_spend_accuracy_tests to
REDIS_HOST=host.docker.internal:6379 so lock and buffer state are
isolated per CI run.
* feat: add gpt-5.5 to model cost map
Add gpt-5.5 entry with pricing from OpenAI flagship page:
input $5/1M, cached input $0.50/1M, output $30/1M, 272K context.
* test: add gpt-5.5 coverage for model cost map and gpt-5 routing
- Add gpt-5.5 to GPT5_MODELS parametrized list so both OpenAIGPT5Config
and AzureOpenAIGPT5Config routing tests cover the new model.
- Add test_generic_cost_per_token_gpt55 verifying the new entry's
cost-map values ($5/$0.50/$30 per 1M) and that generic_cost_per_token
returns the expected prompt/completion costs.
The periodic budget-window reset job filtered keys/teams with
`where={"budget_limits": {"not": None}}`. The prisma-client-python
library does not support null-filtering on `Json?` columns (no
DbNull/JsonNull sentinel — upstream issue #714). The client drops the
`None` value during serialization and the engine rejects the query with
`MissingRequiredValueError: where.budget_limits.not: A value is
required but not set`, so neither the key nor team reset path runs.
Switch those two `find_many` calls to `query_raw` with
`WHERE budget_limits IS NOT NULL`, selecting only the PK and the
`budget_limits` column. Writes still go through the ORM. Add unit tests
covering the expired/unexpired paths for keys and teams, string-encoded
JSON payloads, empty payloads, error isolation between the two paths,
and a regression guard asserting the query still uses `IS NOT NULL`.
Extracts release branch creation into a separate reusable workflow
(create-release-branch.yml) that can be triggered independently via
workflow_dispatch or called from other workflows via workflow_call.
create-release.yml now dispatches it as a dependent job after the
release publishes, keeping both workflows decoupled.
token_counter.py: the previous size-limit raises were inside except Exception: pass,
so they were silently swallowed. The post-read raise was worse — img_data was already
assigned the full body before the raise, so the oversized value was used downstream.
Restructured to only assign img_data when the body is within bounds.
vertex_ai/common_utils.py and llm_passthrough_endpoints.py: the is-not-None guard
skipped validation for None, falling through to produce "https://None-aiplatform..."
Added explicit None check that raises before the regex guard.
