No run collector (#930)

Author: hinthornw

docs/observability/how_to_guides/trace_with_langchain.mdx

@@ -224,18 +224,16 @@ Note that if you do this at the **root** of a trace (i.e., the top-level run, th
 
 ## Access run (span) ID for LangChain invocations
 
-When you invoke a LangChain object, you can access the run ID of the invocation. This run ID can be used to query the run in LangSmith.
-
-In Python, you can use the `collect_runs` context manager to access the run ID.
+When you invoke a LangChain object, you can manually specify the run ID of the invocation. This run ID can be used to query the run in LangSmith.
 
 In JS/TS, you can use a `RunCollectorCallbackHandler` instance to access the run ID.
 
 <CodeTabs
   tabs={[
-    PythonBlock(`from langchain_openai import ChatOpenAI
+    PythonBlock(`import uuid\n
+from langchain_openai import ChatOpenAI
 from langchain_core.prompts import ChatPromptTemplate
-from langchain_core.output_parsers import StrOutputParser
-from langchain_core.tracers.context import collect_runs\n
+from langchain_core.output_parsers import StrOutputParser\n
 prompt = ChatPromptTemplate.from_messages([
     ("system", "You are a helpful assistant. Please respond to the user's request only based on the given context."),
     ("user", "Question: {question}\\n\\nContext: {context}")
@@ -245,12 +243,9 @@ output_parser = StrOutputParser()\n
 chain = prompt | model | output_parser\n
 question = "Can you summarize this morning's meetings?"
 context = "During this morning's meeting, we solved all world conflict."
-with collect_runs() as cb:
-  result = chain.invoke({"question": question, "context": context})
-  # Get the root run id
-  # highlight-next-line
-  run_id = cb.traced_runs[0].id
-print(run_id)`),
+my_uuid = uuid.uuid4()
+result = chain.invoke({"question": question, "context": context}, {"run_id": my_uuid})
+print(my_uuid)`),
     TypeScriptBlock(`import { ChatOpenAI } from "@langchain/openai";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { StringOutputParser } from "@langchain/core/output_parsers";