openai.InternalServerError: Error code: 502

[zxy66688]

Traceback (most recent call last): File "F:\openspg\KAG\kag\examples\musique\builder\indexer.py", line 89, in buildKB(corpusFilePath) File "F:\openspg\KAG\kag\examples\musique\builder\indexer.py", line 77, in buildKB MusiqueBuilderChain().invoke(file_path=corpusFilePath, max_workers=20) File "D:\anaconda3\envs\kag-demo\lib\site-packages\knext\builder\builder_chain_abc.py", line 26, in invoke chain.invoke(input=file_path, max_workers=max_workers, kwargs) File "D:\anaconda3\envs\kag-demo\lib\site-packages\knext\common\base\chain.py", line 64, in invoke node, result = future.result() File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures_base.py", line 451, in result return self.get_result() File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures_base.py", line 403, in get_result raise self._exception File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures\thread.py", line 58, in run result = self.fn(*self.args, *self.kwargs) File "D:\anaconda3\envs\kag-demo\lib\site-packages\knext\common\base\chain.py", line 46, in execute_node ret = inner_future.result() File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures_base.py", line 451, in result return self.get_result() File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures_base.py", line 403, in get_result raise self._exception File "D:\anaconda3\envs\kag-demo\lib\concurrent\futures\thread.py", line 58, in run result = self.fn(self.args, self.kwargs) File "f:\openspg\kag\kag\builder\component\vectorizer\batch_vectorizer.py", line 199, in invoke modified_input = self._generate_embedding_vectors(self.vectorizer, input) File "f:\openspg\kag\kag\builder\component\vectorizer\batch_vectorizer.py", line 188, in _generate_embedding_vectors generator.batch_generate(node_batch) File "f:\openspg\kag\kag\builder\component\vectorizer\batch_vectorizer.py", line 125, in batch_generate manager.batch_generate(self._vectorizer) File "f:\openspg\kag\kag\builder\component\vectorizer\batch_vectorizer.py", line 94, in batch_generate vectors = self._generate_vectors(vectorizer, text_batch) File "f:\openspg\kag\kag\builder\component\vectorizer\batch_vectorizer.py", line 84, in _generate_vectors vectors = vectorizer.vectorize(texts) File "f:\openspg\kag\kag\common\vectorizer\openai_vectorizer.py", line 57, in vectorize results = self.client.embeddings.create(input=texts, model=self.model) File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai\resources\embeddings.py", line 124, in create return self._post( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1278, in post File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 955, in request return self._request( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1044, in _request return self._retry_request( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1093, in _retry_request return self._request( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1044, in _request return self._retry_request( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1093, in _retry_request return self._request( File "D:\anaconda3\envs\kag-demo\lib\site-packages\openai_base_client.py", line 1059, in _request raise self._make_status_error_from_response(err.response) from None openai.InternalServerError: Error code: 502

[xionghuaidong]

Please show you vectorizer config.

[zxy66688]

Please show you vectorizer config.

vectorizer = kag.common.vectorizer.openAIVectorizer

[xionghuaidong]

Please show you vectorizer config.

vectorizer = kag.common.vectorizer.openAIVectorizer

The full content of the [vectorizer] section in kag_config.cfg please.

[zxy66688]

Please show you vectorizer config.

vectorizer = kag.common.vectorizer.openAIVectorizer

The full content of the [vectorizer] section in kag_config.cfg please.

[vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://127.0.0.1:11434/v1 vector_dimensions = 1024

[xionghuaidong]

[vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://127.0.0.1:11434/v1 vector_dimensions = 1024

The ip address in base_url might be incorrect. You may need to change base_url to http://host.docker.internal:11434/v1. Please refere to 5. Configure KAG to use the bge-m3 model deployed with Ollama.

[zxy66688]

[vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://127.0.0.1:11434/v1 vector_dimensions = 1024

The ip address in base_url might be incorrect. You may need to change base_url to http://host.docker.internal:11434/v1. Please refere to 5. Configure KAG to use the bge-m3 model deployed with Ollama.

i have changed the base_url,but still have the same problem [vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://host.docker.internal:11434/v1 vector_dimensions = 1024

[caszkgui]

[vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://127.0.0.1:11434/v1 vector_dimensions = 1024

The ip address in base_url might be incorrect. You may need to change base_url to http://host.docker.internal:11434/v1. Please refere to 5. Configure KAG to use the bge-m3 model deployed with Ollama.

i have changed the base_url,but still have the same problem [vectorizer] vectorizer = kag.common.vectorizer.OpenAIVectorizer model = bge-m3 api_key = EMPTY base_url = http://host.docker.internal:11434/v1 vector_dimensions = 1024

It seems like your embedding model is inaccessible in developer mode, please verify the configuration in the following order: 1、Have you deployed your embedding model with ollama（you can refer to embedding model with ollama) 2、Is your embedding model accessible by KAG ?(you can refer to Test embedding generation with bge-m3)