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Why is this change required?\n  2. What problem does it solve?\n  3. What scenario does it contribute to?\n  4. If it fixes an open issue, please link to the issue here.\n-->\nRelated to https://github.com/microsoft/semantic-kernel/issues/6498\n\nThe use of local models presents a twofold benefit for developers:\nincreased flexibility and reduced costs. Ollama and LM Studio are two\nwell-known platforms that facilitate the hosting of models locally, both\nof which offer compatibility with OpenAI endpoints. As such, it is\nimperative that our OpenAI connector functions correctly when users are\noperating models on these platforms.\n\n### Description\n\n<!-- Describe your changes, the overall approach, the underlying design.\nThese notes will help understanding how your code works. Thanks! -->\n1. Verify that our OpenAI connector works as expected with models hosted\nlocally using Ollama and LM Studio.\n2. Create three new samples (Ollama/chat, LM Studio/chat, LM\nStudio/Embedding) under `/concepts/local_models` to show how to using\nlocal models with the OpenAI connector.\n3. 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Why is this change required?\n  2. What problem does it solve?\n  3. What scenario does it contribute to?\n  4. If it fixes an open issue, please link to the issue here.\n-->\nRelated to https://github.com/microsoft/semantic-kernel/issues/6498\n\nThe use of local models presents a twofold benefit for developers:\nincreased flexibility and reduced costs. Ollama and LM Studio are two\nwell-known platforms that facilitate the hosting of models locally, both\nof which offer compatibility with OpenAI endpoints. As such, it is\nimperative that our OpenAI connector functions correctly when users are\noperating models on these platforms.\n\n### Description\n\n<!-- Describe your changes, the overall approach, the underlying design.\nThese notes will help understanding how your code works. Thanks! -->\n1. Verify that our OpenAI connector works as expected with models hosted\nlocally using Ollama and LM Studio.\n2. 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Why is this change required?\n  2. What problem does it solve?\n  3. What scenario does it contribute to?\n  4. If it fixes an open issue, please link to the issue here.\n-->\nRelated to https://github.com/microsoft/semantic-kernel/issues/6498\n\nThe use of local models presents a twofold benefit for developers:\nincreased flexibility and reduced costs. Ollama and LM Studio are two\nwell-known platforms that facilitate the hosting of models locally, both\nof which offer compatibility with OpenAI endpoints. As such, it is\nimperative that our OpenAI connector functions correctly when users are\noperating models on these platforms.\n\n### Description\n\n<!-- Describe your changes, the overall approach, the underlying design.\nThese notes will help understanding how your code works. Thanks! -->\n1. Verify that our OpenAI connector works as expected with models hosted\nlocally using Ollama and LM Studio.\n2. 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Why is this change required?\n  2. What problem does it solve?\n  3. What scenario does it contribute to?\n  4. If it fixes an open issue, please link to the issue here.\n-->\nRelated to https://github.com/microsoft/semantic-kernel/issues/6498\n\nThe use of local models presents a twofold benefit for developers:\nincreased flexibility and reduced costs. Ollama and LM Studio are two\nwell-known platforms that facilitate the hosting of models locally, both\nof which offer compatibility with OpenAI endpoints. As such, it is\nimperative that our OpenAI connector functions correctly when users are\noperating models on these platforms.\n\n### Description\n\n<!-- Describe your changes, the overall approach, the underlying design.\nThese notes will help understanding how your code works. Thanks! -->\n1. Verify that our OpenAI connector works as expected with models hosted\nlocally using Ollama and LM Studio.\n2. 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Why is this change required?\n  2. What problem does it solve?\n  3. What scenario does it contribute to?\n  4. If it fixes an open issue, please link to the issue here.\n-->\nRelated to https://github.com/microsoft/semantic-kernel/issues/6498\n\nThe use of local models presents a twofold benefit for developers:\nincreased flexibility and reduced costs. Ollama and LM Studio are two\nwell-known platforms that facilitate the hosting of models locally, both\nof which offer compatibility with OpenAI endpoints. As such, it is\nimperative that our OpenAI connector functions correctly when users are\noperating models on these platforms.\n\n### Description\n\n<!-- Describe your changes, the overall approach, the underlying design.\nThese notes will help understanding how your code works. Thanks! -->\n1. Verify that our OpenAI connector works as expected with models hosted\nlocally using Ollama and LM Studio.\n2. 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