cli: embed docstring template (langchain-ai#24855)

libs/cli/langchain_cli/integration_template/integration_template/embeddings.py

@@ -4,14 +4,70 @@
 
 
 class __ModuleName__Embeddings(Embeddings):
-    """__ModuleName__Embeddings embedding model.
+    """__ModuleName__ embedding model integration.
 
-    Example:
+    # TODO: Replace with relevant packages, env vars.
+    Setup:
+        Install ``__package_name__`` and set environment variable ``__MODULE_NAME___API_KEY``.
+
+        .. code-block:: bash
+
+            pip install -U __package_name__
+            export __MODULE_NAME___API_KEY="your-api-key"
+
+    # TODO: Populate with relevant params.
+    Key init args — completion params:
+        model: str
+            Name of __ModuleName__ model to use.
+
+    See full list of supported init args and their descriptions in the params section.
+
+    # TODO: Replace with relevant init params.
+    Instantiate:
         .. code-block:: python
 
             from __module_name__ import __ModuleName__Embeddings
 
-            model = __ModuleName__Embeddings()
+            embed = __ModuleName__Embeddings(
+                model="...",
+                # api_key="...",
+                # other params...
+            )
+
+    Embed single text:
+        .. code-block:: python
+
+            input_text = "The meaning of life is 42"
+            embed.embed_query(input_text)
+
+        .. code-block:: python
+
+            # TODO: Example output.
+
+    # TODO: Delete if token-level streaming isn't supported.
+    Embed multiple text:
+        .. code-block:: python
+
+             input_texts = ["Document 1...", "Document 2..."]
+            embed.embed_documents(input_texts)
+
+        .. code-block:: python
+
+            # TODO: Example output.
+
+    # TODO: Delete if native async isn't supported.
+    Async:
+        .. code-block:: python
+
+            await embed.aembed_query(input_text)
+
+            # multiple:
+            # await embed.aembed_documents(input_texts)
+
+        .. code-block:: python
+
+            # TODO: Example output.
+
     """
 
     def embed_documents(self, texts: List[str]) -> List[List[float]]: