wip

.github/actions/spelling/allow.txt

@@ -218,6 +218,7 @@ Testables
 Tetsuo
 Tianli
 Topolino
+Traceloop
 Trapp
 Tribbiani
 Tricyle
@@ -545,6 +546,7 @@ timechart
 titlebar
 toself
 tqdm
+traceloop
 tritan
 ubuntu
 unigram

gemini/sample-apps/conversational-genai-app-template/app/README.md

@@ -28,9 +28,9 @@ A pythonic RAG (Retrieval-Augmented Generation) chain designed for maximum flexi
 - Document retrieval and ranking
 - LLM-based response generation
 
-### 3. Langgraph Dummy Agent
+### 3. LangGraph Dummy Agent
 
-A simple agent implemented using Langgraph, a framework for building agent and multi-agent workflows.
+A simple agent implemented using LangGraph, a framework for building agent and multi-agent workflows.
 
 ### Switching Between Patterns
 

gemini/sample-apps/conversational-genai-app-template/app/server.py

@@ -34,7 +34,7 @@
 # Custom RAG QA
 # from app.patterns.custom_rag_qa.chain import chain
 
-# Langgraph dummy agent
+# LangGraph dummy agent
 # from app.patterns.langgraph_dummy_agent.chain import chain
 
 # The events that are supported by the UI Frontend

gemini/sample-apps/conversational-genai-app-template/tests/integration/patterns/test_langgraph_dummy_agent.py

@@ -18,13 +18,13 @@
 from langchain_core.messages import AIMessageChunk
 import pytest
 
-CHAIN_NAME = "Langgraph agent"
+CHAIN_NAME = "LangGraph agent"
 
 
 @pytest.mark.asyncio
 async def test_langgraph_chain_astream_events() -> None:
     """
-    Integration testing example for the default Langgraph agent chain. We assert that the chain returns
+    Integration testing example for the default LangGraph agent chain. We assert that the chain returns
     events, containing AIMessageChunks.
     """
     user_message = {"role": "user", "content": f"Test message for {CHAIN_NAME} chain"}