Running the REBEL + wiki KG index,

File ~/anaconda3/envs/test_cluster2/lib/python3.11/site-packages/llama_index/indices/base.py:179, in BaseIndex.build_index_from_nodes(self, nodes)
    177 """Build the index from nodes."""
    178 self._docstore.add_documents(nodes, allow_update=True)
--> 179 return self._build_index_from_nodes(nodes)

File ~/anaconda3/envs/test_cluster2/lib/python3.11/site-packages/llama_index/indices/knowledge_graph/base.py:176, in KnowledgeGraphIndex._build_index_from_nodes(self, nodes)
    172 nodes_with_progress = get_tqdm_iterable(
    173     nodes, self._show_progress, "Processing nodes"
    174 )
    175 for n in nodes_with_progress:
--> 176     triplets = self._extract_triplets(
    177         n.get_content(metadata_mode=MetadataMode.LLM)
    178     )
    179     logger.debug(f"> Extracted triplets: {triplets}")
    180     for triplet in triplets:

File ~/anaconda3/envs/test_cluster2/lib/python3.11/site-packages/llama_index/indices/knowledge_graph/base.py:118, in KnowledgeGraphIndex._extract_triplets(self, text)
    116 def _extract_triplets(self, text: str) -> List[Tuple[str, str, str]]:
    117     if self._kg_triplet_extract_fn is not None:
--> 118         return self._kg_triplet_extract_fn(text)
    119     else:
    120         return self._llm_extract_triplets(text)

File ~/anaconda3/envs/cluster_test2/lib/python3.11/site-packages/llama_index/indices/query/embedding_utils.py:31, in get_top_k_embeddings(query_embedding, embeddings, similarity_fn, similarity_top_k, embedding_ids, similarity_cutoff)
     29 similarity_heap: List[Tuple[float, Any]] = []
     30 for i, emb in enumerate(embeddings_np):
---> 31     similarity = similarity_fn(query_embedding_np, emb)
     32     if similarity_cutoff is None or similarity > similarity_cutoff:
     33         heapq.heappush(similarity_heap, (similarity, embedding_ids[i]))

File ~/anaconda3/envs/cluster_test2/lib/python3.11/site-packages/llama_index/core/embeddings/base.py:48, in similarity(embedding1, embedding2, mode)
     46     return np.dot(embedding1, embedding2)
     47 else:
---> 48     product = np.dot(embedding1, embedding2)
     49     norm = np.linalg.norm(embedding1) * np.linalg.norm(embedding2)
     50     return product / norm

ValueError: shapes (1536,) and (3072,) not aligned: 1536 (dim 0) != 3072 (dim 0)

from llama_index.core.llms import ChatMessage
from llama_index.llms.anthropic import Anthropic

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

def get_llama_index_reader(reader: BaseReader | str = None) -> BaseReader:
    if not isinstance(reader, [str, BaseReader]):
        raise TypeError(f'reader must be a string or BaseReader, not {type(reader)}')

    if isinstance(reader, str):
        if 'index' in reader:
            reader_ = reader.split('index')[-1]
            reader_ = strip_lower(reader_.replace("_", "-"))
            if reader_.startswith('-'):
                reader_ = reader_[1:]
            package = f'llama-index-reader-{reader_}'
            reader = f"{reader_}Reader"
            
            ...

packages/llama_index/llms/openai/base.py:36
     29 from llama_index.core.constants import (
     30     DEFAULT_TEMPERATURE,
     31 )
     32 from llama_index.core.llms.callbacks import (
     33     llm_chat_callback,
     34     llm_completion_callback,
     35 )
---> 36 from llama_index.core.llms.generic_utils import (
     37     achat_to_completion_decorator,
     38     acompletion_to_chat_decorator,
     39     astream_chat_to_completion_decorator,
     40     astream_completion_to_chat_decorator,
     41     chat_to_completion_decorator,
     42     completion_to_chat_decorator,
     43     stream_chat_to_completion_decorator,
     44     stream_completion_to_chat_decorator,
     45 )
     46 from llama_index.core.llms.llm import LLM
     47 from llama_index.core.types import BaseOutputParser, PydanticProgramMode

ModuleNotFoundError: No module named 'llama_index.core.llms.generic_utils'