feat: add inference for RunnableMap RunOutput type

langchain-core/src/runnables/base.ts

@@ -31,11 +31,15 @@ export type RunnableFunc<RunInput, RunOutput> = (
     | (Record<string, any> & { config: RunnableConfig })
 ) => RunOutput | Promise<RunOutput>;
 
+export type RunnableMapLike<RunInput, RunOutput> = {
+  [K in keyof RunOutput]: RunnableLike<RunInput, RunOutput[K]>;
+};
+
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 export type RunnableLike<RunInput = any, RunOutput = any> =
   | Runnable<RunInput, RunOutput>
   | RunnableFunc<RunInput, RunOutput>
-  | { [key: string]: RunnableLike<RunInput, RunOutput> };
+  | RunnableMapLike<RunInput, RunOutput>;
 
 export type RunnableBatchOptions = {
   maxConcurrency?: number;
@@ -1368,11 +1372,12 @@ export class RunnableSequence<
  * const result = await mapChain.invoke({ topic: "bear" });
  * ```
  */
-export class RunnableMap<RunInput> extends Runnable<
-  RunInput,
+export class RunnableMap<
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  Record<string, any>
-> {
+  RunInput = any,
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  RunOutput extends Record<string, any> = Record<string, any>
+> extends Runnable<RunInput, RunOutput> {
   static lc_name() {
     return "RunnableMap";
   }
@@ -1387,23 +1392,28 @@ export class RunnableMap<RunInput> extends Runnable<
     return Object.keys(this.steps);
   }
 
-  constructor(fields: { steps: Record<string, RunnableLike<RunInput>> }) {
+  constructor(fields: { steps: RunnableMapLike<RunInput, RunOutput> }) {
     super(fields);
     this.steps = {};
     for (const [key, value] of Object.entries(fields.steps)) {
       this.steps[key] = _coerceToRunnable(value);
     }
   }
 
-  static from<RunInput>(steps: Record<string, RunnableLike<RunInput>>) {
-    return new RunnableMap<RunInput>({ steps });
+  static from<
+    RunInput,
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    RunOutput extends Record<string, any> = Record<string, any>
+  >(
+    steps: RunnableMapLike<RunInput, RunOutput>
+  ): RunnableMap<RunInput, RunOutput> {
+    return new RunnableMap<RunInput, RunOutput>({ steps });
   }
 
   async invoke(
     input: RunInput,
     options?: Partial<BaseCallbackConfig>
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  ): Promise<Record<string, any>> {
+  ): Promise<RunOutput> {
     const callbackManager_ = await getCallbackMangerForConfig(options);
     const runManager = await callbackManager_?.handleChainStart(
       this.toJSON(),
@@ -1432,7 +1442,7 @@ export class RunnableMap<RunInput> extends Runnable<
       throw e;
     }
     await runManager?.handleChainEnd(output);
-    return output;
+    return output as RunOutput;
   }
 }
 
@@ -1665,9 +1675,9 @@ export function _coerceToRunnable<RunInput, RunOutput>(
   } else if (!Array.isArray(coerceable) && typeof coerceable === "object") {
     const runnables: Record<string, Runnable<RunInput>> = {};
     for (const [key, value] of Object.entries(coerceable)) {
-      runnables[key] = _coerceToRunnable(value);
+      runnables[key] = _coerceToRunnable(value as RunnableLike);
     }
-    return new RunnableMap<RunInput>({
+    return new RunnableMap({
       steps: runnables,
     }) as unknown as Runnable<RunInput, Exclude<RunOutput, Error>>;
   } else {

langchain-core/src/runnables/tests/runnable.test.ts

@@ -10,21 +10,18 @@ import { StringOutputParser } from "../../output_parsers/string.js";
 import {
   ChatPromptTemplate,
   SystemMessagePromptTemplate,
-  HumanMessagePromptTemplate,
 } from "../../prompts/chat.js";
 import { PromptTemplate } from "../../prompts/prompt.js";
 import {
   FakeLLM,
   FakeChatModel,
-  FakeRetriever,
   FakeStreamingLLM,
   FakeSplitIntoListParser,
   FakeRunnable,
   FakeListChatModel,
 } from "../../utils/testing/index.js";
-import { RunnableSequence, RunnableMap, RunnableLambda } from "../base.js";
+import { RunnableSequence, RunnableLambda } from "../base.js";
 import { RouterRunnable } from "../router.js";
-import { Document } from "../../documents/document.js";
 
 test("Test batch", async () => {
   const llm = new FakeLLM({});
@@ -70,35 +67,6 @@ test("Pipe from one runnable to the next", async () => {
   expect(result).toBe("Hello world!");
 });
 
-test("Create a runnable sequence with a runnable map", async () => {
-  const promptTemplate = ChatPromptTemplate.fromMessages<{
-    documents: string;
-    question: string;
-  }>([
-    SystemMessagePromptTemplate.fromTemplate(`You are a nice assistant.`),
-    HumanMessagePromptTemplate.fromTemplate(
-      `Context:\n{documents}\n\nQuestion:\n{question}`
-    ),
-  ]);
-  const llm = new FakeChatModel({});
-  const inputs = {
-    question: (input: string) => input,
-    documents: RunnableSequence.from([
-      new FakeRetriever(),
-      (docs: Document[]) => JSON.stringify(docs),
-    ]),
-    extraField: new FakeLLM({}),
-  };
-  const runnable = new RunnableMap({ steps: inputs })
-    .pipe(promptTemplate)
-    .pipe(llm);
-  const result = await runnable.invoke("Do you know the Muffin Man?");
-  console.log(result);
-  expect(result.content).toEqual(
-    `You are a nice assistant.\nContext:\n[{"pageContent":"foo","metadata":{}},{"pageContent":"bar","metadata":{}}]\n\nQuestion:\nDo you know the Muffin Man?`
-  );
-});
-
 test("Stream the entire way through", async () => {
   const llm = new FakeStreamingLLM({});
   const stream = await llm.pipe(new StringOutputParser()).stream("Hi there!");

langchain-core/src/runnables/tests/runnable_map.test.ts

@@ -0,0 +1,105 @@
+/* eslint-disable no-promise-executor-return */
+/* eslint-disable @typescript-eslint/no-explicit-any */
+
+import { StringOutputParser } from "../../output_parsers/string.js";
+import {
+  ChatPromptTemplate,
+  SystemMessagePromptTemplate,
+  HumanMessagePromptTemplate,
+} from "../../prompts/chat.js";
+import {
+  FakeLLM,
+  FakeChatModel,
+  FakeRetriever,
+} from "../../utils/testing/index.js";
+import { RunnableSequence, RunnableMap } from "../base.js";
+import { RunnablePassthrough } from "../passthrough.js";
+
+test("Create a runnable sequence with a runnable map", async () => {
+  const promptTemplate = ChatPromptTemplate.fromMessages<{
+    documents: string;
+    question: string;
+  }>([
+    SystemMessagePromptTemplate.fromTemplate(`You are a nice assistant.`),
+    HumanMessagePromptTemplate.fromTemplate(
+      `Context:\n{documents}\n\nQuestion:\n{question}`
+    ),
+  ]);
+  const llm = new FakeChatModel({});
+  const inputs = {
+    question: (input: string) => input,
+    documents: RunnableSequence.from([
+      new FakeRetriever(),
+      (docs: Document[]) => JSON.stringify(docs),
+    ]),
+    extraField: new FakeLLM({}),
+  };
+  const runnable = new RunnableMap({ steps: inputs })
+    .pipe(promptTemplate)
+    .pipe(llm);
+  const result = await runnable.invoke("Do you know the Muffin Man?");
+  console.log(result);
+  expect(result.content).toEqual(
+    `You are a nice assistant.\nContext:\n[{"pageContent":"foo","metadata":{}},{"pageContent":"bar","metadata":{}}]\n\nQuestion:\nDo you know the Muffin Man?`
+  );
+});
+
+test("Test map inference in a sequence", async () => {
+  const prompt = ChatPromptTemplate.fromTemplate(
+    "context: {context}, question: {question}"
+  );
+  const chain = RunnableSequence.from([
+    {
+      question: new RunnablePassthrough(),
+      context: async () => "SOME STUFF",
+    },
+    prompt,
+    new FakeLLM({}),
+    new StringOutputParser(),
+  ]);
+  const response = await chain.invoke("Just passing through.");
+  console.log(response);
+  expect(response).toBe(
+    `Human: context: SOME STUFF, question: Just passing through.`
+  );
+});
+
+test("Should not allow mismatched inputs", async () => {
+  const prompt = ChatPromptTemplate.fromTemplate(
+    "context: {context}, question: {question}"
+  );
+  const badChain = RunnableSequence.from([
+    {
+      // @ts-expect-error TS compiler should flag mismatched input types
+      question: new FakeLLM({}),
+      context: async (input: number) => input,
+    },
+    prompt,
+    new FakeLLM({}),
+    new StringOutputParser(),
+  ]);
+  console.log(badChain);
+});
+
+test("Should not allow improper inputs into a map in a sequence", async () => {
+  const prompt = ChatPromptTemplate.fromTemplate(
+    "context: {context}, question: {question}"
+  );
+  const map = RunnableMap.from({
+    question: new FakeLLM({}),
+    context: async (_input: string) => 9,
+  });
+  // @ts-expect-error TS compiler should flag mismatched output types
+  const runnable = prompt.pipe(map);
+  console.log(runnable);
+});
+
+test("Should not allow improper outputs from a map into the next item in a sequence", async () => {
+  const map = RunnableMap.from({
+    question: new FakeLLM({}),
+    context: async (_input: string) => 9,
+  });
+  // @ts-expect-error TS compiler should flag mismatched output types
+  const runnable = map.pipe(new FakeLLM({}));
+  console.log(runnable);
+});

langchain-core/src/runnables/tests/runnable_stream_log.test.ts

@@ -62,7 +62,10 @@ test("Runnable streamLog method with a more complicated sequence", async () => {
       response: "testing",
     }).withConfig({ tags: ["only_one"] }),
   };
-  const runnable = new RunnableMap({ steps: inputs })
+
+  const runnable = new RunnableMap({
+    steps: inputs,
+  })
     .pipe(promptTemplate)
     .pipe(llm);
   const stream = await runnable.streamLog(