docs: update examples in api ref (#25589)

docs/api_reference/guide_imports.json

@@ -1 +1 @@
-{"ChatPromptTemplate": {"\ud83e\udd9c\ufe0f\ud83c\udfd3 LangServe": "https://python.langchain.com/v0.2/docs/langserve/", "Conceptual guide": "https://python.langchain.com/v0.2/docs/concepts/", "How to add a semantic layer over graph database": "https://python.langchain.com/v0.2/docs/how_to/graph_semantic/", "How to handle long text when doing extraction": "https://python.langchain.com/v0.2/docs/how_to/extraction_long_text/", "How to add values to a chain's state": "https://python.langchain.com/v0.2/docs/how_to/assign/", "How to do per-user retrieval": "https://python.langchain.com/v0.2/docs/how_to/qa_per_user/", "How to track token usage in ChatModels": "https://python.langchain.com/v0.2/docs/how_to/chat_token_usage_tracking/", "How to create a custom LLM class": "https://python.langchain.com/v0.2/docs/how_to/custom_llm/", "How to inspect runnables": "https://python.langchain.com/v0.2/docs/how_to/inspect/", "How to handle cases where no queries are generated": "https://python.langchain.com/v0.2/docs/how_to/query_no_queries/", "How to use few shot examples in chat models": "https://python.langchain.com/v0.2/docs/how_to/few_shot_examples_chat/", "How to do tool/function calling": "https://python.langchain.com/v0.2/docs/how_to/function_calling/", "How to use prompting alone (no tool calling) to do extraction": "https://python.langchain.com/v0.2/docs/how_to/extraction_parse/", "How to deal with large databases when doing SQL question-answering": "https://python.langchain.com/v0.2/docs/how_to/sql_large_db/", "How to use reference examples when doing extraction": "https://python.langchain.com/v0.2/docs/how_to/extraction_examples/", "How to handle multiple queries when doing query analysis": "https://python.langchain.com/v0.2/docs/how_to/query_multiple_queries/", "How to add fallbacks to a runnable": "https://python.langchain.com/v0.2/docs/how_to/fallbacks/", "How to propagate callbacks  constructor": "https://python.langchain.com/v0.2/docs/how_to/callbacks_constructor/", "How to map values to a graph database": "https://python.langchain.com/v0.2/docs/how_to/graph_mapping/", "How to do question answering over CSVs": "https://python.langchain.com/v0.2/docs/how_to/sql_csv/", "How to stream results from your RAG application": "https://python.langchain.com/v0.2/docs/how_to/qa_streaming/", "How to get your RAG application to return sources": "https://python.langchain.com/v0.2/docs/how_to/qa_sources/", "How to attach callbacks to a runnable": "https://python.langchain.com/v0.2/docs/how_to/callbacks_attach/", "How to use a model to call tools": "https://python.langchain.com/v0.2/docs/how_to/tool_calling", "How to handle tool errors": "https://python.langchain.com/v0.2/docs/how_to/tools_error/", "How to add tools to chatbots": "https://python.langchain.com/v0.2/docs/how_to/chatbots_tools/", "How to add default invocation args to a Runnable": "https://python.langchain.com/v0.2/docs/how_to/binding/", "How to create a dynamic (self-constructing) chain": "https://python.langchain.com/v0.2/docs/how_to/dynamic_chain/", "How to create custom callback handlers": "https://python.langchain.com/v0.2/docs/how_to/custom_callbacks/", "How to stream runnables": "https://python.langchain.com/v0.2/docs/how_to/streaming/", "How to invoke runnables in parallel": "https://python.langchain.com/v0.2/docs/how_to/parallel/", "How to pass through arguments from one step to the next": "https://python.langchain.com/v0.2/docs/how_to/passthrough/", "How to retrieve using multiple vectors per document": "https://python.langchain.com/v0.2/docs/how_to/multi_vector/", "How to add chat history": "https://python.langchain.com/v0.2/docs/how_to/qa_chat_history_how_to/", "How to add message history": "https://python.langchain.com/v0.2/docs/how_to/message_history/", "How to add retrieval to chatbots": "https://python.langchain.com/v0.2/docs/how_to/chatbots_retrieval/", "How to handle multiple retrievers when doing query analysis": "https://python.langchain.com/v0.2/docs/how_to/query_multiple_retrievers/", "How to get a RAG application to add citations": "https://python.langchain.com/v0.2/docs/how_to/qa_citations/", "How to run custom functions": "https://python.langchain.com/v0.2/docs/how_to/functions/", "How to add memory to chatbots": "https://python.langchain.com/v0.2/docs/how_to/chatbots_memory/", "How deal with high cardinality categoricals when doing query analysis": "https://python.langchain.com/v0.2/docs/how_to/query_high_cardinality/", "How to return structured data from a model": "https://python.langchain.com/v0.2/docs/how_to/structured_output/", "How to add ad-hoc tool calling capability to LLMs and Chat Models": "https://python.langchain.com/v0.2/docs/how_to/tools_prompting/", "LangChain Expression Language Cheatsheet": "https://python.langchain.com/v0.2/docs/how_to/lcel_cheatsheet/", "How to debug your LLM apps": "https://python.langchain.com/v0.2/docs/how_to/debugging/", "How to chain runnables": "https://python.langchain.com/v0.2/docs/how_to/seLine truncated
+{"ChatPromptTemplate": {"\ud83e\udd9c\ufe0f\ud83c\udfd3 LangServe": "https://python.langchain.com/v0.2/docs/langserve/", "\ud83e\udd9c\ud83d\udd78\ufe0fLangGraph": "https://python.langchain.com/v0.2/docs/langgraph/", "This uses some example data": "https://python.langchain.com/v0.2/docs/integrations/chat_loaders/imessage/", "Wait for the fine-tuning to complete (this may take some time)": "https://python.langchain.com/v0.2/docs/integrations/chat_loaders/langsmith_llm_runs/", "del os.environ['NVIDIA_API_KEY']  ## delete key and reset": "https://python.langchain.com/v0.2/docs/integrations/text_embedding/nvidia_ai_endpoints/", "For use in Chaining section": "https://python.langchain.com/v0.2/docs/integrations/retrievers/you-retriever/", "fleet_context.md": "https://python.langchain.com/v0.2/docs/integrations/retrievers/fleet_context/", "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"": "https://python.langchain.com/v0.2/docs/use_cases/tool_use/tool_error_handling/", "# activeloop token is needed if you are not signed in using CLI: `activeloop login -u <USERNAME> -p <PASSWORD>`": "https://python.langchain.com/v0.2/docs/integrations/retrievers/activeloop/", "ragatouille.md": "https://python.langchain.com/v0.2/docs/integrations/retrievers/ragatouille/", "redis_chat_message_history.md": "https://python.langchain.com/v0.2/docs/integrations/memory/redis_chat_message_history/", "# Automatically restart kernel after installs so that your environment can access the new packages": "https://python.langchain.com/v0.2/docs/integrations/memory/google_sql_mssql/", "Optionally, specify your own session_state key for storing messages": "https://python.langchain.com/v0.2/docs/integrations/memory/streamlit_chat_message_history/", "copy from tidb cloud console": "https://python.langchain.com/v0.2/docs/integrations/memory/tidb_chat_message_history/", "Install Langchain community and core packages": "https://python.langchain.com/v0.2/docs/integrations/chat/kinetica/", "open ../../../static/img/brand/wordmark.png as base64 str": "https://python.langchain.com/v0.2/docs/integrations/chat/anthropic/", "groq.md": "https://python.langchain.com/v0.2/docs/integrations/chat/groq/", "openai.md": "https://python.langchain.com/v0.2/docs/integrations/chat/openai/", "for running these examples in the notebook:": "https://python.langchain.com/v0.2/docs/integrations/chat/google_vertex_ai_palm/", "get a chat completion from the formatted messages": "https://python.langchain.com/v0.2/docs/integrations/chat/vllm/", "LangChain supports many other chat models. Here, we're using Ollama": "https://python.langchain.com/v0.2/docs/integrations/chat/ollama/", "If api_key is not passed, default behavior is to use the `MISTRAL_API_KEY` environment variable.": "https://python.langchain.com/v0.2/docs/integrations/chat/mistralai/", "ai21.md": "https://python.langchain.com/v0.2/docs/integrations/chat/ai21/", "!pip3 install text-generation": "https://python.langchain.com/v0.2/docs/integrations/chat/llama2_chat/", "edenai.md": "https://python.langchain.com/v0.2/docs/integrations/chat/edenai/", "yuan2.md": "https://python.langchain.com/v0.2/docs/integrations/chat/yuan2/", "Loading the COMVEST 2024 notice": "https://python.langchain.com/v0.2/docs/integrations/chat/maritalk/", "perplexity.md": "https://python.langchain.com/v0.2/docs/integrations/chat/perplexity/", "using chat invoke": "https://python.langchain.com/v0.2/docs/integrations/chat/upstage/", "Or via the async API": "https://python.langchain.com/v0.2/docs/integrations/chat/nvidia_ai_endpoints/", "context.md": "https://python.langchain.com/v0.2/docs/integrations/callbacks/context/", "Fiddler project and model names, used for model registration": "https://python.langchain.com/v0.2/docs/integrations/callbacks/fiddler/", "1. Vanilla RAG {#vanilla-rag-1}": "https://python.langchain.com/v0.2/docs/integrations/callbacks/uptrain/", "Cohere": "https://python.langchain.com/v0.2/docs/integrations/providers/cohere/", "Setup {#setup}": "https://python.langchain.com/v0.2/docs/integrations/providers/vectara/vectara_summary/", "sql_database.md": "https://python.langchain.com/v0.2/docs/integrations/toolkits/sql_database/", "install package": "https://python.langchain.com/v0.2/docs/integrations/vectorstores/weaviate/", "Install all needed libraries": "https://python.langchain.com/v0.2/docs/integrations/vectorstores/yellowbrick/", "cosine: distance metric": "https://python.langchain.com/v0.2/docs/integrations/vectorstores/jaguar/", "astradb.md": "https://python.langchain.com/v0.2/docs/integrations/vectorstores/astradb/", "cassandra.md": "https://python.langchain.com/v0.2/docs/integrations/vectorstores/cassandra/", "Must be an OpenAI model that supports functions": "https://python.langchain.com/v0.2/docs/integrations/document_transformers/openai_metadata_tagger/", "see https://python.langchain.com/en/latest/modules/data_connection/getting_started.html for more details": "https://python.langchain.com/v0.2/docs/integrations/documLine truncated