Merge pull request langchain-ai#9 from langchain-ai/wfh/doc_nit

id to info

Author: hinthornw

docs/evaluation/capturing-feedback.mdx

@@ -72,7 +72,7 @@ In addition to general production observability, user feedback is a key ingredie
 
 Assuming you've already set up tracing in the [LangSmith quick start](/#quick-start), you can add user feedback to a run by returning the run ID and and including that in the `create_feedback` call.
 
-To return the run ID for a given call, look for the `__run` key of the LangChain component's response dictionary (or typescript object). In python, you will have to specify `include_run_id=True` when calling your chain or LLM. Below is an example:
+To return the run ID for a given call, look for the `__run` key of the LangChain component's response dictionary (or typescript object). In python, you will have to specify `include_run_info=True` when calling your chain or LLM. Below is an example:
 
 ```bash
 export LANGCHAIN_TRACING_V2=true

docs/tracing/tracing-faq.mdx

@@ -266,7 +266,7 @@ try {
 
 ### How do I get the run ID from a call?
 
-The run ID is returned in the call response under the `__run` key. In python, it is not returned by default. There you will have to pass the `include_run_id=True` parameter to the call function. Example:
+The run ID is returned in the call response under the `__run` key. In python, it is not returned by default. There you will have to pass the `include_run_info=True` parameter to the call function. Example:
 
 <CodeTabs
   tabs={[