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Updated 4 months ago

is this correct? ```from llama_index.core.chat_engine.types import BaseChatEnginefrom lla

At a glance
is this correct?
Plain Text
from llama_index.core.chat_engine.types import BaseChatEngine
from llama_index.core.llms import ChatMessage, MessageRole
k
a
5 comments
Please stand by @andysingal as I search the knowledge base. I normally take about 20 seconds or so. :wave:
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Based on the knowledge sources provided, the correct way to import ChatMessage and MessageRole is as follows:

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from llama_index.core.llms import ChatMessage, MessageRole


However, there is no mention of BaseChatEngine in the provided knowledge sources. Therefore, I cannot confirm if the import statement for BaseChatEngine is correct. Please refer to the official LlamaIndex documentation or source code for more information.
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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@kapa.ai
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ValidationError                           Traceback (most recent call last)
<ipython-input-27-7a35c6086b8b> in <cell line: 3>()
      1 from llama_parse import LlamaParse
      2 
----> 3 parser = LlamaParse(verbose=True)
      4 json_objs = parser.get_json_result("./uber_10q_march_2022.pdf")
      5 json_list = json_objs[0]["pages"]

/usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py in __init__(__pydantic_self__, **data)
    339         values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data)
    340         if validation_error:
--> 341             raise validation_error
    342         try:
    343             object_setattr(__pydantic_self__, '__dict__', values)

ValidationError: 1 validation error for LlamaParse
api_key
  The API key is required. (type=value_error)
Let me check the knowledge base for you. One moment! :books:
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The error message you're seeing is indicating that the LlamaParse object requires an API key to be instantiated. You can obtain this API key from <https://cloud.llamaindex.ai.>

Here's how you can instantiate LlamaParse with an API key:

Plain Text
from llama_parse import LlamaParse

parser = LlamaParse(
    api_key="llx-...",  # replace with your actual API key
    verbose=True,
)


Please replace "llx-..." with your actual API key. You can also set the API key in your environment variables as LLAMA_CLOUD_API_KEY.

For more information, please refer to the LlamaParse documentation ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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