feat: add Runner and AgentGraphRunner protocols; deprecate AIProvider

packages/sdk/server-ai/__tests__/RunnerProtocol.test.ts

@@ -0,0 +1,73 @@
+import type { AgentGraphRunnerResult } from '../src/api/graph/types';
+import type { RunnerResult } from '../src/api/model/types';
+import type { AgentGraphRunner, Runner } from '../src/api/providers/Runner';
+
+/**
+ * Verify that the Runner and AgentGraphRunner protocols can be implemented
+ * by a plain object (no abstract class required).
+ */
+describe('Runner protocol', () => {
+  it('can be implemented as a plain object (no class extension required)', async () => {
+    const runnerResult: RunnerResult = {
+      content: 'Hello from runner',
+      metrics: { success: true },
+    };
+
+    const myRunner: Runner = {
+      run: jest.fn().mockResolvedValue(runnerResult),
+    };
+
+    const result = await myRunner.run([{ role: 'user', content: 'Hello' }]);
+
+    expect(result.content).toBe('Hello from runner');
+    expect(result.metrics.success).toBe(true);
+  });
+
+  it('Runner.run() accepts optional outputType for structured output', async () => {
+    const runnerResult: RunnerResult = {
+      content: '',
+      metrics: { success: true },
+      parsed: { score: 0.9, reasoning: 'good' },
+    };
+
+    const myRunner: Runner = {
+      run: jest.fn().mockResolvedValue(runnerResult),
+    };
+
+    const schema = { type: 'object', properties: { score: { type: 'number' } } };
+    const result = await myRunner.run([{ role: 'user', content: 'Evaluate' }], schema);
+
+    expect(result.parsed).toEqual({ score: 0.9, reasoning: 'good' });
+    expect(myRunner.run).toHaveBeenCalledWith([{ role: 'user', content: 'Evaluate' }], schema);
+  });
+
+  it('AgentGraphRunner can be implemented as a plain object', async () => {
+    const graphResult: AgentGraphRunnerResult = {
+      content: 'Graph output',
+      metrics: {
+        success: true,
+        path: ['node-a'],
+        nodeMetrics: { 'node-a': { success: true } },
+      },
+    };
+
+    const myGraphRunner: AgentGraphRunner = {
+      run: jest.fn().mockResolvedValue(graphResult),
+    };
+
+    const result = await myGraphRunner.run('user input');
+
+    expect(result.content).toBe('Graph output');
+    expect(result.metrics.path).toEqual(['node-a']);
+  });
+
+  it('RunnerResult does NOT include evaluations field', () => {
+    const result: RunnerResult = {
+      content: 'test',
+      metrics: { success: true },
+    };
+
+    // TypeScript would catch this at compile time, but verify at runtime shape too
+    expect('evaluations' in result).toBe(false);
+  });
+});

packages/sdk/server-ai/src/api/providers/AIProvider.ts

@@ -11,6 +11,10 @@ import { StructuredResponse } from '../judge/types';
  *
  * Following the AICHAT spec recommendation to use base classes with non-abstract methods
  * for better extensibility and backwards compatibility.
+ *
+ * @deprecated Use the `Runner` interface instead. Provider implementations should
+ * implement `Runner` (and optionally `AgentGraphRunner`) rather than extending this
+ * abstract class. This class will be removed in a future major version.
  */
 export abstract class AIProvider {
   protected readonly logger?: LDLogger;

packages/sdk/server-ai/src/api/providers/Runner.ts

@@ -0,0 +1,41 @@
+import { LDMessage } from '../config/types';
+import { AgentGraphRunnerResult } from '../graph/types';
+import { RunnerResult } from '../model/types';
+
+/**
+ * Runner protocol for AI model providers.
+ *
+ * Providers implementing the Runner interface can be used with ManagedModel
+ * and ManagedAgent without extending the deprecated AIProvider abstract class.
+ *
+ * A single Runner interface covers both chat (completion) and agent use cases.
+ * For structured output (e.g., judge evaluation), pass an `outputType` schema
+ * and access the parsed result via `RunnerResult.parsed`.
+ */
+export interface Runner {
+  /**
+   * Invoke the model with an array of messages.
+   *
+   * @param input Array of LDMessage objects representing the conversation or prompt.
+   * @param outputType Optional JSON schema for structured output. When provided,
+   *   the model should return structured data accessible via `RunnerResult.parsed`.
+   * @returns Promise resolving to a RunnerResult.
+   */
+  run(input: LDMessage[], outputType?: Record<string, unknown>): Promise<RunnerResult>;
+}
+
+/**
+ * Runner protocol for agent graph providers.
+ *
+ * Providers implementing AgentGraphRunner can execute an entire agent graph
+ * and return a structured AgentGraphRunnerResult.
+ */
+export interface AgentGraphRunner {
+  /**
+   * Execute the agent graph with the given input.
+   *
+   * @param input The user input to process through the graph.
+   * @returns Promise resolving to an AgentGraphRunnerResult.
+   */
+  run(input: string): Promise<AgentGraphRunnerResult>;
+}

packages/sdk/server-ai/src/api/providers/index.ts

@@ -1,2 +1,3 @@
 export * from './AIProvider';
 export * from './AIProviderFactory';
+export type { Runner, AgentGraphRunner } from './Runner';