## Add application-scoped GraphQL schema generation
When an application token is used to authenticate, the `/graphql` schema
is now dynamically filtered to only include entities belonging to that
application (plus the Twenty Standard Application). This enables
third-party applications and the SDK to introspect a schema that is
relevant to their scope, rather than seeing the full workspace schema
with all custom objects.
### Changes
- **New `generateApplicationToken` mutation** on the `/metadata`
endpoint, allowing callers to exchange an API key for an
application-scoped JWT token
- **Schema filtering by application** in `WorkspaceSchemaFactory` — when
`request.application` is present (from an application token), flat
entity maps are filtered by `[appId, standardAppId]` before schema
generation
- **Per-app caching** — both the Yoga in-memory cache and Redis cache
now include the `appId` in their keys to avoid serving wrong schemas
- **Consolidated `getSubFlatEntityMapsByApplicationIdsOrThrow`** —
unified the single-ID and multi-ID filtering utilities into one
- **Integration tests** covering token generation (admin + API key auth)
and schema introspection filtering (standard app token excludes custom
objects)
Schema generated on seeds with applicationToken (see that pets is
missing)
<img width="782" height="994" alt="image"
src="https://github.com/user-attachments/assets/82510031-0965-435d-bc26-77c9f5d74e1f"
/>
## Context
This PR refactors how authentication context is handled in the GraphQL
resolver layer. Previously, the auth context was baked into the schema
builder context at schema creation time. Now, the auth context is
extracted from the request at query execution time, enabling better
schema caching.
## Implementation
- Removed user-specific data from schema cache key: The schema cache key
no longer includes userId and apiKeyId, allowing the same schema to be
shared across all users in a workspace
- Cache key simplified from
${workspaceId}-${userId}-${apiKeyId}-${url}-${cacheVersion} to
${workspaceId}-${url}-${cacheVersion}
- Removed authContext from WorkspaceSchemaBuilderContext: The schema
builder context is now purely about object/field metadata, not about who
is accessing it
- Created createQueryRunnerContext utility: A new helper that combines
the schema builder context with the auth context from the actual request
- Updated all resolver factories: All 15 resolver factories now use
createQueryRunnerContext to build the full context needed by query
runners at execution time
## Benefits
- Improved cache efficiency: GraphQL schemas are now cached per
workspace rather than per user, significantly reducing memory usage and
schema regeneration
- Cleaner separation of concerns: Schema building (metadata-driven) is
now separate from query execution (auth-driven)
- Fresh auth context: Auth context is always retrieved from the current
request, ensuring it reflects the latest state
- Reduced complexity: Simplified the schema creation path by removing
unnecessary auth checks
## Next steps
- Introduce a hash in redis and expose it in the req object so the yoga
patch can access the hash and use it during its own cache key
computation. This way we will be able to invalidate the local cache in
yoga graphql schema generation without restarting pods.
## Description
This PR fixes an issue where the GraphQL schema was being incorrectly
cached and shared across different API keys within the same workspace.
This resulted in the `createdBy` field (Actor) from the first API key's
request being erroneously attributed to subsequent requests made by
different API keys.
## Changes
- Updated the `@graphql-yoga/nestjs` patch to include the request's
`Authorization` header in the schema cache key generation logic.
- This ensures that every unique authentication token (and thus every
unique API key) generates a distinct cache entry, preventing schema
context collisions.
Closes#15093
We have a few issues on demo seeding:
- redis metdata cache was not flushed
- server ram graphql schema cache was not cleared on metadata version
increment
In this PR I'm introducing a new patch on @graphql-yoga/nestjs package.
This patch overrides a previous patch that was made to compute the
conditionnal schema on each request,
Here we use a cache map to compute only once per schema workspace cache
version.
This allows us to have sub 100ms query time.
Charles Bochet