Add arg in create_example (#987)

js/package.json

@@ -1,6 +1,6 @@
 {
   "name": "langsmith",
-  "version": "0.1.51",
+  "version": "0.1.52",
   "description": "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.",
   "packageManager": "[email protected]",
   "files": [
@@ -276,4 +276,4 @@
     },
     "./package.json": "./package.json"
   }
-}
+}

js/src/client.ts

@@ -249,13 +249,20 @@ type RecordStringAny = Record<string, any>;
 export type FeedbackSourceType = "model" | "api" | "app";
 
 export type CreateExampleOptions = {
+  /** The ID of the dataset to create the example in. */
   datasetId?: string;
+  /** The name of the dataset to create the example in (if dataset ID is not provided). */
   datasetName?: string;
+  /** The creation date of the example. */
   createdAt?: Date;
+  /** A unique identifier for the example. */
   exampleId?: string;
-
+  /** Additional metadata associated with the example. */
   metadata?: KVMap;
+  /** The split(s) to assign the example to. */
   split?: string | string[];
+  /** The ID of the source run associated with this example. */
+  sourceRunId?: string;
 };
 
 type AutoBatchQueueItem = {
@@ -2288,6 +2295,7 @@ export class Client {
       exampleId,
       metadata,
       split,
+      sourceRunId,
     }: CreateExampleOptions
   ): Promise<Example> {
     let datasetId_ = datasetId;
@@ -2309,6 +2317,7 @@ export class Client {
       id: exampleId,
       metadata,
       split,
+      source_run_id: sourceRunId,
     };
 
     const response = await this.caller.call(fetch, `${this.apiUrl}/examples`, {

js/src/index.ts

@@ -12,4 +12,4 @@ export type {
 export { RunTree, type RunTreeConfig } from "./run_trees.js";
 
 // Update using yarn bump-version
-export const __version__ = "0.1.51";
+export const __version__ = "0.1.52";

js/src/schemas.ts

@@ -60,6 +60,7 @@ export interface BaseExample {
   inputs: KVMap;
   outputs?: KVMap;
   metadata?: KVMap;
+  source_run_id?: string;
 }
 
 /**

python/langsmith/client.py

@@ -3307,6 +3307,7 @@ def create_example(
         metadata: Optional[Mapping[str, Any]] = None,
         split: Optional[str | List[str]] = None,
         example_id: Optional[ID_TYPE] = None,
+        source_run_id: Optional[ID_TYPE] = None,
     ) -> ls_schemas.Example:
         """Create a dataset example in the LangSmith API.
 
@@ -3330,9 +3331,11 @@ def create_example(
             split : str or List[str] or None, default=None
                 The splits for the example, which are divisions
                 of your dataset such as 'train', 'test', or 'validation'.
-            exemple_id : UUID or None, default=None
+            example_id : UUID or None, default=None
                 The ID of the example to create. If not provided, a new
                 example will be created.
+            source_run_id : UUID or None, default=None
+                The ID of the source run associated with this example.
 
         Returns:
             Example: The created example.
@@ -3346,6 +3349,7 @@ def create_example(
             "dataset_id": dataset_id,
             "metadata": metadata,
             "split": split,
+            "source_run_id": source_run_id,
         }
         if created_at:
             data["created_at"] = created_at.isoformat()

python/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langsmith"
-version = "0.1.116"
+version = "0.1.117"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 authors = ["LangChain <[email protected]>"]
 license = "MIT"