To mitigate the risk of object limit overriding in GraphQL, implement the following measures:

**Query Complexity Analysis:** Use tools or libraries to analyze and limit the complexity of incoming queries. Libraries like `graphql-query-complexity` can help.

**Rate Limiting:** Implement rate limiting to restrict the number of queries that can be sent by a single user or IP address within a certain timeframe.

**Pagination and Limits:** Apply limits to the amount of data returned in a single query. Ensure that pagination is used to control the volume of data.

Example Implementation:

=== "JavaScript"
  ```javascript
  const { ApolloServer, gql } = require('apollo-server');
  const { getComplexity, simpleEstimator, fieldExtensionsEstimator } = require('graphql-query-complexity');
  const { GraphQLObjectType, GraphQLInt, GraphQLString, GraphQLSchema } = require('graphql');

  // Define your GraphQL schema
  const typeDefs = gql`
    type Query {
      hello: String
      user(id: ID!): User
    }

    type User {
      id: ID!
      name: String
      age: Int
    }
  `;

  // Define your resolvers
  const resolvers = {
    Query: {
      hello: () => 'Hello world!',
      user: (_, { id }) => ({
        id,
        name: 'John Doe',
        age: 30,
      }),
    },
  };

  // Create an Apollo Server instance with query complexity analysis
  const server = new ApolloServer({
    typeDefs,
    resolvers,
    plugins: [
      {
        // This plugin computes the complexity of incoming queries
        requestDidStart: () => ({
          didResolveOperation({ request, document }) {
            const complexity = getComplexity({
              schema: server.schema,
              query: document,
              variables: request.variables,
              estimators: [
                fieldExtensionsEstimator(),
                simpleEstimator({ defaultComplexity: 1 }),
              ],
            });

            // Define a maximum complexity limit
            const maxComplexity = 100;

            // Check if the query complexity exceeds the maximum allowed
            if (complexity > maxComplexity) {
              throw new Error(`Query is too complex: ${complexity}. Maximum allowed complexity: ${maxComplexity}`);
            }
          },
        }),
      },
    ],
  });

  // Start the server
  server.listen().then(({ url }) => {
    console.log(`🚀 Server ready at ${url}`);
  });
  ```

=== "Python"
  ```python
  from graphql import parse, execute, validate, GraphQLError
  from graphql.language.visitor import visit, Visitor

  class ComplexityVisitor(Visitor):
      def __init__(self):
          self.complexity = 0
          self.max_complexity = 100

      def enter_field(self, node, key, parent, path, ancestors):
          complexity = 1  # Base complexity for each field
          self.complexity += complexity
          if self.complexity > self.max_complexity:
              raise GraphQLError(f"Query complexity exceeds maximum allowed complexity of {self.max_complexity}")

  def complexity_middleware(schema, query):
      document = parse(query)
      visitor = ComplexityVisitor()
      visit(document, visitor)
      return visitor.complexity

  def execute_with_complexity_check(schema, query, variables=None):
      complexity = complexity_middleware(schema, query)
      if complexity > 100:
          raise GraphQLError(f"Query complexity exceeds maximum allowed complexity of 100")
      result = execute(schema, parse(query), variable_values=variables)
      return result
  ```

By using these recommendations and configurations, you can better protect your GraphQL APIs from the risks associated with object limit overriding.