chunk_sizes = [128, 256, 512]

nodes_list = []

vector_indices = []

for chunk_size in chunk_sizes:
    print(f"Chunk Size: {chunk_size}")
    splitter = SentenceSplitter(chunk_size=chunk_size, chunk_overlap=chunk_size // 2)

    nodes = splitter.get_nodes_from_documents(docs)

    for node in nodes:
        node.metadata["chunk_size"] = chunk_size
        node.excluded_embed_metadata_keys = ["chunk_size"]
        node.excluded_llm_metadata_keys = [ "chunk_size"]

        nodes_list.append(nodes)

        vector_index = VectorStoreIndex(nodes)
    vector_indices.append(vector_index)

documents = SimpleDirectoryReader("./markdown").load_data()

doc_text = "\n\n".join([d.get_content() for d in documents])

docs = [Document(text=doc_text)]

llm = OpenAI(model="gpt-3.5-turbo")

chunk_sizes = [128, 256, 512, 1024]
nodes_list = []
vector_indices = []
for chunk_size in chunk_sizes:
    print(f"Chunk Size: {chunk_size}")
    splitter = SentenceSplitter(chunk_size=chunk_size, chunk_overlap=chunk_size // 2)
    nodes = splitter.get_nodes_from_documents(docs)
    for node in nodes:
        node.metadata["chunk_size"] = chunk_size
        node.excluded_embed_metadata_keys = ["chunk_size"]
        node.excluded_llm_metadata_keys = [ "chunk_size"]
    nodes_list.append(nodes)
    vector_index = VectorStoreIndex(nodes)
    vector_indices.append(vector_index)
    print(vector_indices)

messages = [
    ChatMessage(
        role="system", content="You are a pirate with a colorful personality"
    ),
    ChatMessage(role="user", content="Tell me a story"),
]
resp = Anthropic(model="claude-3-opus-20240229").chat(messages)

print(resp.chat.messages)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[12], line 1
----> 1 print(resp.chat.messages)

AttributeError: 'ChatResponse' object has no attribute 'chat'