GraphRAG MCP

2025-11-05 11:17:32.0487 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=1, delay=2.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:17:34.0890 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=2, delay=4.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:17:38.0954 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=3, delay=8.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:17:47.0522 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=4, delay=16.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:18:04.0514 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=5, delay=32.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:18:37.0198 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=6, delay=64.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:19:42.0167 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=7, delay=128.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:22:01.0023 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=1, delay=2.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:22:03.0457 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=2, delay=4.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:22:07.0615 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=3, delay=8.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:22:15.0741 - ERROR - graphrag.language_model.providers.litellm.services.retry.exponential_retry - ExponentialRetry: Request failed, retrying, retries=4, delay=16.0, max_retries=10, exception=litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers Traceback (most recent call last): File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/services/retry/exponential_retry.py", line 71, in aretry return await func(**kwargs) ^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/graphrag/language_model/providers/litellm/chat_model.py", line 109, in _base_acompletion return await acompletion(**new_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1637, in wrapper_async raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/utils.py", line 1483, in wrapper_async result = await original_function(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/main.py", line 549, in acompletion _, custom_llm_provider, _, _ = get_llm_provider( ^^^^^^^^^^^^^^^^^ File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 421, in get_llm_provider raise e File "/Users/tianywen/Desktop/mcp/mcp-graphrag/.venv/lib/python3.12/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py", line 398, in get_llm_provider raise litellm.exceptions.BadRequestError( # type: ignore litellm.exceptions.BadRequestError: litellm.BadRequestError: LLM Provider NOT provided. Pass in the LLM provider you are trying to call. You passed model=azure openai/gpt-4.1 Pass model as E.g. For 'Huggingface' inference endpoints pass in `completion(model='huggingface/starcoder',..)` Learn more: https://docs.litellm.ai/docs/providers 2025-11-05 11:22:52.0328 - INFO - graphrag.index.validate_config - LLM Config Params Validated 2025-11-05 11:22:53.0409 - INFO - graphrag.index.validate_config - Embedding LLM Config Params Validated 2025-11-05 11:22:53.0409 - INFO - graphrag.cli.index - Starting pipeline run. False 2025-11-05 11:22:53.0410 - INFO - graphrag.cli.index - Using default configuration: { "root_dir": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag", "models": { "default_chat_model": { "api_key": "==== REDACTED ====", "auth_type": "api_key", "type": "chat", "model_provider": "azure", "model": "gpt-4.1", "encoding_model": "", "api_base": "https://atuagent.openai.azure.com", "api_version": "2024-12-01-preview", "deployment_name": null, "proxy": null, "audience": null, "model_supports_json": true, "request_timeout": 180.0, "tokens_per_minute": null, "requests_per_minute": null, "rate_limit_strategy": "static", "retry_strategy": "exponential_backoff", "max_retries": 10, "max_retry_wait": 10.0, "concurrent_requests": 25, "async_mode": "threaded", "responses": null, "max_tokens": null, "temperature": 0, "max_completion_tokens": null, "reasoning_effort": null, "top_p": 1, "n": 1, "frequency_penalty": 0.0, "presence_penalty": 0.0 }, "default_embedding_model": { "api_key": "==== REDACTED ====", "auth_type": "api_key", "type": "embedding", "model_provider": "azure", "model": "text-embedding-ada-002", "encoding_model": "", "api_base": "https://atuagent.openai.azure.com", "api_version": "2024-12-01-preview", "deployment_name": null, "proxy": null, "audience": null, "model_supports_json": null, "request_timeout": 180.0, "tokens_per_minute": null, "requests_per_minute": null, "rate_limit_strategy": "static", "retry_strategy": "exponential_backoff", "max_retries": 10, "max_retry_wait": 10.0, "concurrent_requests": 25, "async_mode": "threaded", "responses": null, "max_tokens": null, "temperature": 0, "max_completion_tokens": null, "reasoning_effort": null, "top_p": 1, "n": 1, "frequency_penalty": 0.0, "presence_penalty": 0.0 } }, "input": { "storage": { "type": "file", "base_dir": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/input", "storage_account_blob_url": null, "cosmosdb_account_url": null }, "file_type": "text", "encoding": "utf-8", "file_pattern": ".*\\.txt$", "file_filter": null, "text_column": "text", "title_column": null, "metadata": null }, "chunks": { "size": 1200, "overlap": 100, "group_by_columns": [ "id" ], "strategy": "tokens", "encoding_model": "cl100k_base", "prepend_metadata": false, "chunk_size_includes_metadata": false }, "output": { "type": "file", "base_dir": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/output", "storage_account_blob_url": null, "cosmosdb_account_url": null }, "outputs": null, "update_index_output": { "type": "file", "base_dir": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/update_output", "storage_account_blob_url": null, "cosmosdb_account_url": null }, "cache": { "type": "file", "base_dir": "cache", "storage_account_blob_url": null, "cosmosdb_account_url": null }, "reporting": { "type": "file", "base_dir": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/logs", "storage_account_blob_url": null }, "vector_store": { "default_vector_store": { "type": "lancedb", "db_uri": "/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/output/lancedb", "url": null, "audience": null, "container_name": "==== REDACTED ====", "database_name": null, "overwrite": true, "embeddings_schema": {} } }, "workflows": null, "embed_text": { "model_id": "default_embedding_model", "vector_store_id": "default_vector_store", "batch_size": 16, "batch_max_tokens": 8191, "names": [ "entity.description", "community.full_content", "text_unit.text" ], "strategy": null }, "extract_graph": { "model_id": "default_chat_model", "prompt": "prompts/extract_graph.txt", "entity_types": [ "organization", "person", "geo", "event" ], "max_gleanings": 1, "strategy": null }, "summarize_descriptions": { "model_id": "default_chat_model", "prompt": "prompts/summarize_descriptions.txt", "max_length": 500, "max_input_tokens": 4000, "strategy": null }, "extract_graph_nlp": { "normalize_edge_weights": true, "text_analyzer": { "extractor_type": "regex_english", "model_name": "en_core_web_md", "max_word_length": 15, "word_delimiter": " ", "include_named_entities": true, "exclude_nouns": [ "stuff", "thing", "things", "bunch", "bit", "bits", "people", "person", "okay", "hey", "hi", "hello", "laughter", "oh" ], "exclude_entity_tags": [ "DATE" ], "exclude_pos_tags": [ "DET", "PRON", "INTJ", "X" ], "noun_phrase_tags": [ "PROPN", "NOUNS" ], "noun_phrase_grammars": { "PROPN,PROPN": "PROPN", "NOUN,NOUN": "NOUNS", "NOUNS,NOUN": "NOUNS", "ADJ,ADJ": "ADJ", "ADJ,NOUN": "NOUNS" } }, "concurrent_requests": 25, "async_mode": "threaded" }, "prune_graph": { "min_node_freq": 2, "max_node_freq_std": null, "min_node_degree": 1, "max_node_degree_std": null, "min_edge_weight_pct": 40.0, "remove_ego_nodes": true, "lcc_only": false }, "cluster_graph": { "max_cluster_size": 10, "use_lcc": true, "seed": 3735928559 }, "extract_claims": { "enabled": false, "model_id": "default_chat_model", "prompt": "prompts/extract_claims.txt", "description": "Any claims or facts that could be relevant to information discovery.", "max_gleanings": 1, "strategy": null }, "community_reports": { "model_id": "default_chat_model", "graph_prompt": "prompts/community_report_graph.txt", "text_prompt": "prompts/community_report_text.txt", "max_length": 2000, "max_input_length": 8000, "strategy": null }, "embed_graph": { "enabled": false, "dimensions": 1536, "num_walks": 10, "walk_length": 40, "window_size": 2, "iterations": 3, "random_seed": 597832, "use_lcc": true }, "umap": { "enabled": false }, "snapshots": { "embeddings": false, "graphml": false, "raw_graph": false }, "local_search": { "prompt": "prompts/local_search_system_prompt.txt", "chat_model_id": "default_chat_model", "embedding_model_id": "default_embedding_model", "text_unit_prop": 0.5, "community_prop": 0.15, "conversation_history_max_turns": 5, "top_k_entities": 10, "top_k_relationships": 10, "max_context_tokens": 12000 }, "global_search": { "map_prompt": "prompts/global_search_map_system_prompt.txt", "reduce_prompt": "prompts/global_search_reduce_system_prompt.txt", "chat_model_id": "default_chat_model", "knowledge_prompt": "prompts/global_search_knowledge_system_prompt.txt", "max_context_tokens": 12000, "data_max_tokens": 12000, "map_max_length": 1000, "reduce_max_length": 2000, "dynamic_search_threshold": 1, "dynamic_search_keep_parent": false, "dynamic_search_num_repeats": 1, "dynamic_search_use_summary": false, "dynamic_search_max_level": 2 }, "drift_search": { "prompt": "prompts/drift_search_system_prompt.txt", "reduce_prompt": "prompts/drift_search_reduce_prompt.txt", "chat_model_id": "default_chat_model", "embedding_model_id": "default_embedding_model", "data_max_tokens": 12000, "reduce_max_tokens": null, "reduce_temperature": 0, "reduce_max_completion_tokens": null, "concurrency": 32, "drift_k_followups": 20, "primer_folds": 5, "primer_llm_max_tokens": 12000, "n_depth": 3, "local_search_text_unit_prop": 0.9, "local_search_community_prop": 0.1, "local_search_top_k_mapped_entities": 10, "local_search_top_k_relationships": 10, "local_search_max_data_tokens": 12000, "local_search_temperature": 0, "local_search_top_p": 1, "local_search_n": 1, "local_search_llm_max_gen_tokens": null, "local_search_llm_max_gen_completion_tokens": null }, "basic_search": { "prompt": "prompts/basic_search_system_prompt.txt", "chat_model_id": "default_chat_model", "embedding_model_id": "default_embedding_model", "k": 10, "max_context_tokens": 12000 } } 2025-11-05 11:22:53.0411 - INFO - graphrag.api.index - Initializing indexing pipeline... 2025-11-05 11:22:53.0411 - INFO - graphrag.index.workflows.factory - Creating pipeline with workflows: ['load_input_documents', 'create_base_text_units', 'create_final_documents', 'extract_graph', 'finalize_graph', 'extract_covariates', 'create_communities', 'create_final_text_units', 'create_community_reports', 'generate_text_embeddings'] 2025-11-05 11:22:53.0411 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/input 2025-11-05 11:22:53.0412 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/output 2025-11-05 11:22:53.0412 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag 2025-11-05 11:22:53.0412 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/cache 2025-11-05 11:22:53.0413 - INFO - graphrag.index.run.run_pipeline - Running standard indexing. 2025-11-05 11:22:53.0413 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at 2025-11-05 11:22:53.0415 - INFO - graphrag.index.run.run_pipeline - Executing pipeline... 2025-11-05 11:22:53.0416 - INFO - graphrag.index.input.factory - loading input from root_dir=/Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/input 2025-11-05 11:22:53.0416 - INFO - graphrag.index.input.factory - Loading Input InputFileType.text 2025-11-05 11:22:53.0416 - INFO - graphrag.storage.file_pipeline_storage - search /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/input for files matching .*\.txt$ 2025-11-05 11:22:53.0418 - INFO - graphrag.index.input.util - Found 1 InputFileType.text files, loading 1 2025-11-05 11:22:53.0419 - INFO - graphrag.index.input.util - Total number of unfiltered InputFileType.text rows: 1 2025-11-05 11:22:53.0419 - INFO - graphrag.index.workflows.load_input_documents - Final # of rows loaded: 1 2025-11-05 11:22:53.0441 - INFO - graphrag.api.index - Workflow load_input_documents completed successfully 2025-11-05 11:22:53.0450 - INFO - graphrag.index.workflows.create_base_text_units - Workflow started: create_base_text_units 2025-11-05 11:22:53.0451 - INFO - graphrag.utils.storage - reading table from storage: documents.parquet 2025-11-05 11:22:53.0460 - INFO - graphrag.index.workflows.create_base_text_units - Starting chunking process for 1 documents 2025-11-05 11:22:53.0466 - INFO - graphrag.index.workflows.create_base_text_units - chunker progress: 1/1 2025-11-05 11:22:53.0476 - INFO - graphrag.index.workflows.create_base_text_units - Workflow completed: create_base_text_units 2025-11-05 11:22:53.0476 - INFO - graphrag.api.index - Workflow create_base_text_units completed successfully 2025-11-05 11:22:53.0482 - INFO - graphrag.index.workflows.create_final_documents - Workflow started: create_final_documents 2025-11-05 11:22:53.0482 - INFO - graphrag.utils.storage - reading table from storage: documents.parquet 2025-11-05 11:22:53.0486 - INFO - graphrag.utils.storage - reading table from storage: text_units.parquet 2025-11-05 11:22:53.0505 - INFO - graphrag.index.workflows.create_final_documents - Workflow completed: create_final_documents 2025-11-05 11:22:53.0506 - INFO - graphrag.api.index - Workflow create_final_documents completed successfully 2025-11-05 11:22:53.0514 - INFO - graphrag.index.workflows.extract_graph - Workflow started: extract_graph 2025-11-05 11:22:53.0515 - INFO - graphrag.utils.storage - reading table from storage: text_units.parquet 2025-11-05 11:22:53.0529 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/cache/extract_graph 2025-11-05 11:23:14.0428 - INFO - graphrag.logger.progress - extract graph progress: 1/3 2025-11-05 11:23:36.0246 - INFO - graphrag.logger.progress - extract graph progress: 2/3 2025-11-05 11:23:44.0636 - INFO - graphrag.logger.progress - extract graph progress: 3/3 2025-11-05 11:23:44.0673 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/cache/summarize_descriptions 2025-11-05 11:23:44.0675 - INFO - graphrag.logger.progress - Summarize entity/relationship description progress: 1/325 2025-11-05 11:23:44.0676 - INFO - graphrag.logger.progress - Summarize 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graphrag.index.workflows.extract_covariates - Workflow started: extract_covariates 2025-11-05 11:23:52.0850 - INFO - graphrag.index.workflows.extract_covariates - Workflow completed: extract_covariates 2025-11-05 11:23:52.0850 - INFO - graphrag.api.index - Workflow extract_covariates completed successfully 2025-11-05 11:23:52.0850 - INFO - graphrag.index.workflows.create_communities - Workflow started: create_communities 2025-11-05 11:23:52.0851 - INFO - graphrag.utils.storage - reading table from storage: entities.parquet 2025-11-05 11:23:52.0855 - INFO - graphrag.utils.storage - reading table from storage: relationships.parquet 2025-11-05 11:23:52.0910 - INFO - graphrag.index.workflows.create_communities - Workflow completed: create_communities 2025-11-05 11:23:52.0910 - INFO - graphrag.api.index - Workflow create_communities completed successfully 2025-11-05 11:23:52.0924 - INFO - graphrag.index.workflows.create_final_text_units - Workflow started: create_final_text_units 2025-11-05 11:23:52.0925 - INFO - graphrag.utils.storage - reading table from storage: text_units.parquet 2025-11-05 11:23:52.0927 - INFO - graphrag.utils.storage - reading table from storage: entities.parquet 2025-11-05 11:23:52.0931 - INFO - graphrag.utils.storage - reading table from storage: relationships.parquet 2025-11-05 11:23:52.0954 - INFO - graphrag.index.workflows.create_final_text_units - Workflow completed: create_final_text_units 2025-11-05 11:23:52.0955 - INFO - graphrag.api.index - Workflow create_final_text_units completed successfully 2025-11-05 11:23:52.0964 - INFO - graphrag.index.workflows.create_community_reports - Workflow started: create_community_reports 2025-11-05 11:23:52.0964 - INFO - graphrag.utils.storage - reading table from storage: relationships.parquet 2025-11-05 11:23:52.0968 - INFO - graphrag.utils.storage - reading table from storage: entities.parquet 2025-11-05 11:23:52.0972 - INFO - graphrag.utils.storage - reading table from storage: communities.parquet 2025-11-05 11:23:52.0988 - INFO - graphrag.index.operations.summarize_communities.graph_context.context_builder - Number of nodes at level=1 => 54 2025-11-05 11:23:53.0148 - INFO - graphrag.index.operations.summarize_communities.graph_context.context_builder - Number of nodes at level=0 => 132 2025-11-05 11:23:53.0509 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/cache/community_reporting 2025-11-05 11:24:01.0140 - INFO - graphrag.logger.progress - level 1 summarize communities progress: 1/3 2025-11-05 11:24:03.0619 - INFO - graphrag.logger.progress - level 1 summarize communities progress: 2/3 2025-11-05 11:24:08.0436 - INFO - graphrag.logger.progress - level 1 summarize communities progress: 3/3 2025-11-05 11:24:16.0394 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 1/6 2025-11-05 11:24:16.0692 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 2/6 2025-11-05 11:24:18.0034 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 3/6 2025-11-05 11:24:19.0593 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 4/6 2025-11-05 11:24:25.0470 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 5/6 2025-11-05 11:24:26.0787 - INFO - graphrag.logger.progress - level 0 summarize communities progress: 6/6 2025-11-05 11:24:26.0798 - INFO - graphrag.index.workflows.create_community_reports - Workflow completed: create_community_reports 2025-11-05 11:24:26.0799 - INFO - graphrag.api.index - Workflow create_community_reports completed successfully 2025-11-05 11:24:26.0821 - INFO - graphrag.index.workflows.generate_text_embeddings - Workflow started: generate_text_embeddings 2025-11-05 11:24:26.0821 - INFO - graphrag.index.workflows.generate_text_embeddings - Embedding the following fields: ['entity.description', 'community.full_content', 'text_unit.text'] 2025-11-05 11:24:26.0822 - INFO - graphrag.utils.storage - reading table from storage: text_units.parquet 2025-11-05 11:24:26.0826 - INFO - graphrag.utils.storage - reading table from storage: entities.parquet 2025-11-05 11:24:26.0830 - INFO - graphrag.utils.storage - reading table from storage: community_reports.parquet 2025-11-05 11:24:26.0839 - INFO - graphrag.index.workflows.generate_text_embeddings - Creating embeddings 2025-11-05 11:24:26.0839 - INFO - graphrag.index.operations.embed_text.embed_text - using vector store lancedb with container_name default for embedding entity.description: default-entity-description 2025-11-05 11:24:26.0843 - INFO - graphrag.index.operations.embed_text.embed_text - uploading text embeddings batch 1/1 of size 500 to vector store 2025-11-05 11:24:26.0843 - INFO - graphrag.storage.file_pipeline_storage - Creating file storage at /Users/tianywen/Desktop/mcp/mcp-graphrag/graphrag/cache/text_embedding 2025-11-05 11:24:26.0855 - INFO - graphrag.index.operations.embed_text.strategies.openai - embedding 132 inputs via 132 snippets using 9 batches. max_batch_size=16, batch_max_tokens=8191 2025-11-05 11:24:28.0433 - INFO - graphrag.logger.progress - generate embeddings progress: 1/9 2025-11-05 11:24:29.0245 - INFO - graphrag.logger.progress - generate embeddings progress: 2/9 2025-11-05 11:24:29.0247 - INFO - graphrag.logger.progress - generate embeddings progress: 3/9 2025-11-05 11:24:29.0249 - INFO - graphrag.logger.progress - generate embeddings progress: 4/9 2025-11-05 11:24:29.0251 - INFO - graphrag.logger.progress - generate embeddings progress: 5/9 2025-11-05 11:24:29.0253 - INFO - graphrag.logger.progress - generate embeddings progress: 6/9 2025-11-05 11:24:29.0377 - INFO - graphrag.logger.progress - generate embeddings progress: 7/9 2025-11-05 11:24:29.0450 - INFO - graphrag.logger.progress - generate embeddings progress: 8/9 2025-11-05 11:24:29.0655 - INFO - graphrag.logger.progress - generate embeddings progress: 9/9 2025-11-05 11:24:29.0715 - INFO - graphrag.index.operations.embed_text.embed_text - using vector store lancedb with container_name default for embedding community.full_content: default-community-full_content 2025-11-05 11:24:29.0717 - INFO - graphrag.index.operations.embed_text.embed_text - uploading text embeddings batch 1/1 of size 500 to vector store 2025-11-05 11:24:29.0733 - INFO - graphrag.index.operations.embed_text.strategies.openai - embedding 9 inputs via 9 snippets using 2 batches. max_batch_size=16, batch_max_tokens=8191 2025-11-05 11:24:30.0772 - INFO - graphrag.logger.progress - generate embeddings progress: 1/2 2025-11-05 11:24:30.0896 - INFO - graphrag.logger.progress - generate embeddings progress: 2/2 2025-11-05 11:24:30.0921 - INFO - graphrag.index.operations.embed_text.embed_text - using vector store lancedb with container_name default for embedding text_unit.text: default-text_unit-text 2025-11-05 11:24:30.0923 - INFO - graphrag.index.operations.embed_text.embed_text - uploading text embeddings batch 1/1 of size 500 to vector store 2025-11-05 11:24:30.0927 - INFO - graphrag.index.operations.embed_text.strategies.openai - embedding 3 inputs via 3 snippets using 1 batches. max_batch_size=16, batch_max_tokens=8191 2025-11-05 11:24:31.0853 - INFO - graphrag.logger.progress - generate embeddings progress: 1/1 2025-11-05 11:24:31.0873 - INFO - graphrag.index.workflows.generate_text_embeddings - Workflow completed: generate_text_embeddings 2025-11-05 11:24:31.0873 - INFO - graphrag.api.index - Workflow generate_text_embeddings completed successfully 2025-11-05 11:24:31.0900 - INFO - graphrag.index.run.run_pipeline - Indexing pipeline complete. 2025-11-05 11:24:31.0904 - INFO - graphrag.cli.index - All workflows completed successfully.