# Issue with Ollama LLM Integration - Port Binding and Quota Exceeded - RASA CALM

**URL:** <https://forum.rasa.com/t/issue-with-ollama-llm-integration-port-binding-and-quota-exceeded-rasa-calm/63350>\
**Category:** Rasa CALM\
**Created:** [September 9, 2024, 5:45am UTC](https://forum.rasa.com/t/issue-with-ollama-llm-integration-port-binding-and-quota-exceeded-rasa-calm/63350 "2024-09-09T05:45:44Z")\
**Posts on this page:** 1\
**Showing post:** 12

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**Author:** ![LECARROU](https://avatars.discourse-cdn.com/v4/letter/l/85f322/32.png) [@LECARROU](https://forum.rasa.com/u/LECARROU)\
**Post date:** [March 31, 2025, 8:19am UTC](https://forum.rasa.com/t/issue-with-ollama-llm-integration-port-binding-and-quota-exceeded-rasa-calm/63350/12 "2025-03-31T08:19:50Z")

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I set Huggingface API Key but now, got another error :

> 2025-03-31 10:16:16 ERROR rasa.dialogue\_understanding.generator.flow\_retrieval - [error] Failed to populate the FAISS store with the provided flows. error=ProviderClientAPIException(‘Failed to embed documents\nOriginal error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0)\nTraceback (most recent call last):\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\main.py”, line 3548, in embedding\n response = huggingface.embedding(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 1151, in embedding\n data = self.\_transform\_input(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 956, in \_transform\_input\n hf\_task = get\_hf\_task\_embedding\_for\_model(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 289, in get\_hf\_task\_embedding\_for\_model\n model\_info\_dict = model\_info.json()\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\httpx\_models.py”, line 832, in json\n return jsonlib.loads(self.content, \*\*kwargs)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\ **init**.py”, line 346, in loads\n return \_default\_decoder.decode(s)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 337, in decode\n obj, end = self.raw\_decode(s, idx=\_w(s, 0).end())\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 355, in raw\_decode\n raise JSONDecodeError(“Expecting value”, s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n)’) error\_type=ProviderClientAPIException event\_key=flow\_retrieval.populate\_vector\_store.not\_populated 2025-03-31 10:16:16 ERROR rasa.dialogue\_understanding.generator.llm\_based\_command\_generator - [error] Flow retrieval store is inaccessible. error=ProviderClientAPIException(‘Failed to embed documents\nOriginal error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0)\nTraceback (most recent call last):\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\main.py”, line 3548, in embedding\n response = huggingface.embedding(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 1151, in embedding\n data = self.\_transform\_input(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 956, in \_transform\_input\n hf\_task = get\_hf\_task\_embedding\_for\_model(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 289, in get\_hf\_task\_embedding\_for\_model\n model\_info\_dict = model\_info.json()\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\httpx\_models.py”, line 832, in json\n return jsonlib.loads(self.content, \*\*kwargs)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\ **init**.py”, line 346, in loads\n return \_default\_decoder.decode(s)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 337, in decode\n obj, end = self.raw\_decode(s, idx=\_w(s, 0).end())\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 355, in raw\_decode\n raise JSONDecodeError(“Expecting value”, s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n)’) event\_key=llm\_based\_command\_generator.train.failed 2025-03-31 10:16:16 ERROR rasa.engine.graph - [error] graph.node.error\_running\_component node\_name=train\_CompactLLMCommandGenerator0 2025-03-31 10:16:17 ERROR rasa. **main** - [error] ProviderClientAPIException: Failed to embed documents Original error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0) Traceback (most recent call last): File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\main.py”, line 3548, in embedding response = huggingface.embedding( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 1151, in embedding data = self.\_transform\_input( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 956, in _transform\_input hf\_task = get\_hf\_task\_embedding\_for\_model( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\litellm\llms\huggingface\_restapi.py”, line 289, in get\_hf\_task\_embedding\_for\_model model\_info\_dict = model\_info.json() File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\site-packages\httpx\_models.py”, line 832, in json return jsonlib.loads(self.content, \*\*kwargs) File "C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\_init_.py", line 346, in loads return \_default\_decoder.decode(s) File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 337, in decode obj, end = self.raw\_decode(s, idx=\_w(s, 0).end()) File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama\_env\lib\json\decoder.py”, line 355, in raw\_decode raise JSONDecodeError(“Expecting value”, s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

event\_key=cli.exception.rasa\_exception

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