Rtk Query API

RTK Query - createApi

Structure

• One API slice per base URL / data source — never two createApi calls against the same backend
• Export generated hooks alongside the API

// ✅ GOOD - state-manager/api.ts
import { createApi, fetchBaseQuery } from "@reduxjs/toolkit/query/react";
import { EntityTags } from "./types";

export const myApi = createApi({
  reducerPath: "myApi",
  baseQuery: fetchBaseQuery({ baseUrl: "/api" }),
  tagTypes: [EntityTags.Entity, EntityTags.Entities],
  endpoints: (build) => ({
    getEntity: build.query<Entity, string>({
      query: (id) => `entities/${id}`,
      providesTags: [EntityTags.Entity],
    }),
  }),
});

export const { useGetEntityQuery } = myApi;

Define tags as enums in state-manager/types.ts:

export enum EntityTags {
  Entity = "Entity",
  Entities = "Entities",
}

Splitting backend access from use case

In domain/api/, this is the default — not something you reach for once a second use case appears. Always split reaching the backend from what you ask it for:

Doing it upfront costs nothing and means the second use case is a one-line addition rather than a migration. Two createApi calls against one backend would give you two store slices, two caches and two middlewares for one service.

The shared half declares an empty api. The use-case half adds to it with injectEndpoints for endpoints and enhanceEndpoints({ addTagTypes }) for tags. Both mutate and return the same api object, so one reducer, one middleware and one cache serve every use case.

There are no exceptions. If a backend's base query currently needs use-case knowledge — mock handlers keyed by endpoint URL, endpoint-name lookups, response types from its own wire schemas — that is a problem to fix in the base query, not a reason to keep a second createApi.

// ✅ GOOD - the service api: base query + config. No endpoints, no tags.
export const myServiceApi = createApi({
  reducerPath: "myServiceApi",
  baseQuery: myServiceBaseQuery,
  tagTypes: [],
  endpoints: () => ({}),
});

// ✅ GOOD - a use case adds its own tags, then its endpoints
export const FIRST_USE_CASE_TAGS = ["Entity"] as const;

export const firstUseCaseApi = myServiceApi
  .enhanceEndpoints({ addTagTypes: FIRST_USE_CASE_TAGS })
  .injectEndpoints({
    endpoints: build => ({
      getEntity: build.query<Entity, string>({
        query: id => `entities/${id}`,
        providesTags: [...FIRST_USE_CASE_TAGS],
      }),
    }),
  });

export const { useGetEntityQuery } = firstUseCaseApi;

• Cache tags belong to the use case, not the shared api. injectEndpoints does not accept tagTypes, which makes it tempting to declare every tag upfront in the shared file — don't. enhanceEndpoints({ addTagTypes }) widens the tag union in place, so a tag stays next to the endpoints that provide it and adding a use case never means editing a shared file.
• Register the service api; call endpoints on the use case. Only the injected reference is typed with the endpoints — injectEndpoints cannot retype the original.
• Injection is a module-level side effect. An endpoint exists only once its use-case module has been evaluated as a value import; a type-only import will not trigger it. Never import an api from @shared/api-services in order to call endpoints on it.
• A tag-less api has a narrower state type. The registered api declares no tags, so a helper typed on an injected reference (whose use case added some) will not accept an app's State. Type such helpers on the service api.
• overrideExisting defaults to false — injecting an endpoint name that already exists is silently ignored unless you opt in.

Endpoints

• Use build.query for GET requests
• Use build.mutation for POST/PUT/DELETE
• Type both response and argument: build.query<ResponseType, ArgType>
• Use void for no arguments: build.query<Data[], void>

Caching & Tags

• Define tags as enums in types.ts
• Use providesTags on queries for cache invalidation
• Use invalidatesTags on mutations to trigger refetch
• Use keepUnusedDataFor for custom cache duration

endpoints: (build) => ({
  getItems: build.query<Item[], void>({
    query: () => "items",
    providesTags: [ItemTags.Items],
    keepUnusedDataFor: 60, // seconds
  }),
  addItem: build.mutation<Item, Partial<Item>>({
    query: (body) => ({ url: "items", method: "POST", body }),
    invalidatesTags: [ItemTags.Items],
  }),
}),

Transform Responses

• Use transformResponse to reshape API data
• Use transformErrorResponse for custom error handling

getItems: build.query<Item[], void>({
  query: () => "items",
  transformResponse: (response: ApiResponse) => response.data.items,
}),

Error Handling

• Always catch errors in custom baseQuery or queryFn
• Return { data } on success, { error } on failure

// ✅ GOOD - errors are caught and returned
queryFn: async (arg) => {
  try {
    const data = await fetchData(arg);
    return { data };
  } catch (error) {
    return { error: { status: "CUSTOM_ERROR", data: error } };
  }
},

Registration

Register APIs in reducers/rtkQueryApi.ts, keyed by reducerPath. For a shared backend, register the service api — its endpoints arrive via the use-case packages the view-models import. The registry then reads as a list of the backends the app talks to:

const APIs = {
  [myApi.reducerPath]: myApi,
  [myServiceApi.reducerPath]: myServiceApi,
};

Two entries whose reducerPath resolves to the same string is a compile error (TS1117: An object literal cannot have multiple properties with the same name), even for computed properties — which is what catches an accidental double-registration of one backend.