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[GH-ISSUE #95] Another local llm provider #54

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opened 2026-06-06 22:08:49 -04:00 by yindo · 2 comments
yindo commented 2026-06-06 22:08:49 -04:00
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Originally created by @Genudza on GitHub (Dec 30, 2025).
Original GitHub issue: https://github.com/vxcontrol/pentagi/issues/95

Hi everyone! What about LM Studio support? Can I use it with your project somehow instead of Ollama?

Originally created by @Genudza on GitHub (Dec 30, 2025). Original GitHub issue: https://github.com/vxcontrol/pentagi/issues/95 Hi everyone! What about LM Studio support? Can I use it with your project somehow instead of Ollama?
yindo closed this issue 2026-06-06 22:08:49 -04:00
yindo commented 2026-06-06 22:08:50 -04:00
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@asdek commented on GitHub (Dec 30, 2025):

Hey @Genudza,

LM Studio support as well, it's a common OpenAI compatible provider, you can use these options:

LLM_SERVER_URL=http://IP_OR_DOMAIN:1234/v1
LLM_SERVER_KEY=lm-studio
LLM_SERVER_MODEL=YOUR_SELECTED_MODEL_NAME
LLM_SERVER_CONFIG_PATH=
LLM_SERVER_LEGACY_REASONING=false

LLM_SERVER_URL should be accessible from pentagi container.

Ollama also supports OpenAI compatible API and you can use it as the same way, but in the providers list it means legacy proprietary Ollama protocol.

<!-- gh-comment-id:3698595316 --> @asdek commented on GitHub (Dec 30, 2025): Hey @Genudza, LM Studio support as well, it's a common OpenAI compatible provider, you can use these options: ``` LLM_SERVER_URL=http://IP_OR_DOMAIN:1234/v1 LLM_SERVER_KEY=lm-studio LLM_SERVER_MODEL=YOUR_SELECTED_MODEL_NAME LLM_SERVER_CONFIG_PATH= LLM_SERVER_LEGACY_REASONING=false ``` `LLM_SERVER_URL` should be accessible from pentagi container. Ollama also supports OpenAI compatible API and you can use it as the same way, but in the providers list it means legacy proprietary Ollama protocol.
yindo commented 2026-06-06 22:08:50 -04:00
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@Genudza commented on GitHub (Dec 30, 2025):

Hey @Genudza,

LM Studio support as well, it's a common OpenAI compatible provider, you can use these options:

LLM_SERVER_URL=http://IP_OR_DOMAIN:1234/v1
LLM_SERVER_KEY=lm-studio
LLM_SERVER_MODEL=YOUR_SELECTED_MODEL_NAME
LLM_SERVER_CONFIG_PATH=
LLM_SERVER_LEGACY_REASONING=false

LLM_SERVER_URL should be accessible from pentagi container.

Ollama also supports OpenAI compatible API and you can use it as the same way, but in the providers list it means legacy proprietary Ollama protocol.

thank you

<!-- gh-comment-id:3699119330 --> @Genudza commented on GitHub (Dec 30, 2025): > Hey [@Genudza](https://github.com/Genudza), > > LM Studio support as well, it's a common OpenAI compatible provider, you can use these options: > > ``` > LLM_SERVER_URL=http://IP_OR_DOMAIN:1234/v1 > LLM_SERVER_KEY=lm-studio > LLM_SERVER_MODEL=YOUR_SELECTED_MODEL_NAME > LLM_SERVER_CONFIG_PATH= > LLM_SERVER_LEGACY_REASONING=false > ``` > > `LLM_SERVER_URL` should be accessible from pentagi container. > > Ollama also supports OpenAI compatible API and you can use it as the same way, but in the providers list it means legacy proprietary Ollama protocol. thank you
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Reference: vxcontrol/pentagi#54
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