Add eager flag; bump (#264)

js/package.json

@@ -1,6 +1,6 @@
 {
   "name": "langsmith",
-  "version": "0.0.43",
+  "version": "0.0.44",
   "description": "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.",
   "files": [
     "dist/",

js/src/client.ts

@@ -1244,6 +1244,7 @@ export class Client {
       feedbackSourceType = "api",
       sourceRunId,
       feedbackId,
+      eager = false,
     }: {
       score?: ScoreType;
       value?: ValueType;
@@ -1253,6 +1254,7 @@ export class Client {
       feedbackSourceType?: FeedbackSourceType;
       sourceRunId?: string;
       feedbackId?: string;
+      eager?: boolean;
     }
   ): Promise<Feedback> {
     const feedback_source: feedback_source = {
@@ -1276,7 +1278,8 @@ export class Client {
       comment,
       feedback_source: feedback_source,
     };
-    const response = await this.caller.call(fetch, `${this.apiUrl}/feedback`, {
+    const url = `${this.apiUrl}/feedback` + (eager ? "/eager" : "");
+    const response = await this.caller.call(fetch, url, {
       method: "POST",
       headers: { ...this.headers, "Content-Type": "application/json" },
       body: JSON.stringify(feedback),

python/langsmith/client.py

@@ -1054,6 +1054,23 @@ def list_shared_examples(
             for dataset in response.json()
         ]
 
+    def list_shared_projects(
+        self,
+        *,
+        dataset_share_token: Optional[str] = None,
+        project_ids: Optional[List[ID_TYPE]] = None,
+        name: Optional[str] = None,
+        name_contains: Optional[str] = None,
+    ) -> Iterator[ls_schemas.TracerSession]:
+        params = {"id": project_ids, "name": name, "name_contains": name_contains}
+        yield from [
+            ls_schemas.TracerSession(**dataset, _host_url=self._host_url)
+            for dataset in self._get_paginated_list(
+                f"/public/{dataset_share_token}/datasets/sessions",
+                params=params,
+            )
+        ]
+
     def create_project(
         self,
         project_name: str,
@@ -1935,6 +1952,7 @@ def create_feedback(
         ] = ls_schemas.FeedbackSourceType.API,
         source_run_id: Optional[ID_TYPE] = None,
         feedback_id: Optional[ID_TYPE] = None,
+        eager: bool = False,
     ) -> ls_schemas.Feedback:
         """Create a feedback in the LangSmith API.
 
@@ -1962,6 +1980,11 @@ def create_feedback(
         feedback_id : str or UUID or None, default=None
             The ID of the feedback to create. If not provided, a random UUID will be
             generated.
+        eager : bool, default=False
+            Whether to skip the write queue when creating the feedback. This means
+            that the feedback will be immediately available for reading, but may
+            cause the write to fail if the API is under heavy load, since the target
+            run_id may have not been created yet.
         """
         if not isinstance(feedback_source_type, ls_schemas.FeedbackSourceType):
             feedback_source_type = ls_schemas.FeedbackSourceType(feedback_source_type)
@@ -1992,7 +2015,7 @@ def create_feedback(
         )
         self.request_with_retries(
             "POST",
-            self.api_url + "/feedback",
+            self.api_url + "/feedback" + ("/eager" if eager else ""),
             request_kwargs={
                 "data": json.dumps(
                     feedback.dict(exclude_none=True), default=_serialize_json

python/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langsmith"
-version = "0.0.47"
+version = "0.0.48"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 authors = ["LangChain <[email protected]>"]
 license = "MIT"