10/28 refs & more

pipeline/preprocessors/link_map.py

@@ -124,7 +124,8 @@ class LinkMap(TypedDict):
             "SystemMessage": "langchain/messages/#langchain.messages.SystemMessage",
             "HumanMessage": "langchain/messages/#langchain.messages.HumanMessage",
             "trim_messages": "langchain/messages/#langchain.messages.trim_messages",
-            "UsageMetadata": "langchain/messages/#langchain.messages.AIMessage.usage_metadata",
+            "UsageMetadata": "langchain/messages/#langchain.messages.UsageMetadata",
+            "InputTokenDetails": "langchain/messages/#langchain.messages.InputTokenDetails",
             # Content blocks
             "BaseMessage": "langchain_core/language_models/#langchain_core.messages.BaseMessage",
             "BaseMessage(content)": "langchain_core/language_models/#langchain_core.messages.BaseMessage.content",

reference/python/docs/integrations/langchain_neo4j.md

@@ -8,5 +8,4 @@ title: Neo4J
 [![PyPI - License](https://img.shields.io/pypi/l/langchain-neo4j)](https://opensource.org/licenses/MIT)
 [![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-neo4j)](https://pypistats.org/packages/langchain-neo4j)
 
-!!! note
-    This package ref has not yet been fully migrated to v1.
+::: langchain_neo4j

reference/python/docs/langchain/messages.md

@@ -31,5 +31,6 @@
         - FileContentBlock
         - NonStandardContentBlock
         - trim_messages
-
-<!-- TODO once exported - UsageMetadata -->
+        - UsageMetadata
+        - InputTokenDetails
+        - OutputTokenDetails

reference/python/pyproject.dev.toml

@@ -67,7 +67,7 @@ dependencies = [
     "langchain-google-vertexai",
     #"langchain-ibm",
     "langchain-milvus",
-    #"langchain-neo4j",
+    "langchain-neo4j",
     #"langchain-nvidia-ai-endpoints",
     #"langchain-pinecone",
     #"langchain-postgres",

reference/python/pyproject.prod.toml

@@ -67,7 +67,7 @@ dependencies = [
     "langchain-google-vertexai",
     #"langchain-ibm",
     "langchain-milvus",
-    #"langchain-neo4j",
+    "langchain-neo4j",
     #"langchain-nvidia-ai-endpoints",
     #"langchain-pinecone",
     #"langchain-postgres",

reference/python/pyproject.toml

@@ -67,7 +67,7 @@ dependencies = [
     "langchain-google-vertexai",
     #"langchain-ibm",
     "langchain-milvus",
-    #"langchain-neo4j",
+    "langchain-neo4j",
     #"langchain-nvidia-ai-endpoints",
     #"langchain-pinecone",
     #"langchain-postgres",

src/oss/langchain/messages.mdx

@@ -368,7 +368,7 @@ const response = await model.invoke(messages);
         A unique identifier for the message (either automatically generated by LangChain or returned in the provider response)
     </ParamField>
     <ParamField path="usage_metadata" type="UsageMetadata | None">
-        The usage metadata of the message, which can contain token counts when available. See @[reference][UsageMetadata].
+        The usage metadata of the message, which can contain token counts when available. See @[`UsageMetadata`].
     </ParamField>
     <ParamField path="response_metadata" type="ResponseMetadata | None">
         The response metadata of the message.

src/oss/python/integrations/chat/anthropic.mdx

@@ -377,7 +377,7 @@ Second:
     ```
     and specifying `"cache_control": {"type": "ephemeral", "ttl": "1h"}`.
 
-    Details of cached token counts will be included on the `InputTokenDetails` of response's `usage_metadata`:
+    Details of cached token counts will be included on the @[`InputTokenDetails`] of response's @[`usage_metadata`][UsageMetadata]:
 
     ```python
     response = model.invoke(messages)