Get Resource not Found 404 Error during index creation

[leodatavinci]

After running python -m graphrag.index --root ./ragtest

I get a 404 resource not found error, however I m not sure that the reason for this would be, as i have tested the endpoing and API Key that I provide. Im wondering if it there is related to the chat completions endpoint and the API version.

I get the following error in the log

{
"type": "error",
"data": "Error Invoking LLM",
"stack": "Traceback (most recent call last):\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\graphrag\llm\base\base_llm.py", line 53, in _invoke\n output = await self._execute_llm(input, **kwargs)\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\graphrag\llm\openai\openai_chat_llm.py", line 55, in _execute_llm\n completion = await self.client.chat.completions.create(\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\openai\resources\chat\completions.py", line 1289, in create\n return await self._post(\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\openai\_base_client.py", line 1816, in post\n return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\openai\_base_client.py", line 1514, in request\n return await self._request(\n File "C:\Users\\miniconda3\envs\graphrag\lib\site-packages\openai\_base_client.py", line 1610, in _request\n raise self._make_status_error_from_response(err.response) from None\nopenai.NotFoundError: Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}\n",
"source": "Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}"
}

In my setting file i have the following configured:
`
encoding_model: cl100k_base
skip_workflows: []
llm:
api_key: XXXX
type: azure_openai_chat # or azure_openai_chat
model: gpt-4o
model_supports_json: true # recommended if this is available for your model.

max_tokens: 4000

request_timeout: 180.0

api_base: https://ai-xxxx.openai.azure.com
#api_version: 2024-02-15-preview

organization: <organization_id>

deployment_name: gpt-4o

tokens_per_minute: 150_000 # set a leaky bucket throttle

requests_per_minute: 10_000 # set a leaky bucket throttle

max_retries: 10

max_retry_wait: 10.0

sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times

concurrent_requests: 25 # the number of parallel inflight requests that may be made

parallelization
stagger: 0.3

num_threads: 50 # the number of threads to use for parallel processing

async_mode: threaded # or asyncio

embeddings

parallelization: override the global parallelization settings for embeddings

async_mode: threaded # or asyncio
llm:
api_key: XXXX
type: azure_openai_embedding # or azure_openai_embedding
model: text-embedding-ada-002
api_base: https://ai-xxxx.openai.azure.com
#api_version: 2024-02-15-preview
# organization: <organization_id>
deployment_name: text-embedding-ada-002
# tokens_per_minute: 150_000 # set a leaky bucket throttle
# requests_per_minute: 10_000 # set a leaky bucket throttle
# max_retries: 10
# max_retry_wait: 10.0
# sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
# concurrent_requests: 25 # the number of parallel inflight requests that may be made
# batch_size: 16 # the number of documents to send in a single request
# batch_max_tokens: 8191 # the maximum number of tokens to send in a single request
# target: required # or optional

`

[eyast]

A 404 error indicates that you are using the wrong api_version. I used gpt4-o in my test as well and I confirm that I succeeded with 2024-02-15-preview.
You should uncomment the api_version lines for both llm.api_version and embeddings.llm.api_version.

[AlonsoGuevara]

Hi @leodatavinci
As @eyast mentions, commenting out the api_version causes the engine to use a default one which may be already removed.
Please try again by uncommenting both api_version options and setting it to a proper one. In my case, I use the same mentioned on the reply above