diff --git a/docs/assets/openapi.json b/docs/assets/openapi.json
index 255a3d2c..cc4489ea 100644
--- a/docs/assets/openapi.json
+++ b/docs/assets/openapi.json
@@ -1 +1 @@
-{"openapi":"3.1.0","info":{"title":"♾️ Infinity - Embedding Inference Server","summary":"Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip. Infinity is developed under MIT License at https://github.com/michaelfeil/infinity.","contact":{"name":"Michael Feil"},"license":{"name":"MIT License","identifier":"MIT"},"version":"0.0.66"},"paths":{"/health":{"get":{"summary":" Health","description":"health check endpoint\n\nReturns:\n    dict(unix=float): dict with unix time stamp","operationId":"health","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"additionalProperties":{"type":"number"},"type":"object","title":"Response Health"}}}}}}},"/":{"get":{"summary":"Redirect","operationId":"redirect__get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/models":{"get":{"summary":" Models","description":"get models endpoint","operationId":"models","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIModelInfo"}}}}}}},"/embeddings":{"post":{"summary":" Embeddings","description":"Encode Embeddings. Supports with multimodal inputs. Aligned with OpenAI Embeddings API.\n\n## Running Text Embeddings\n```python\nimport requests, base64\nrequests.post(\"http://..:7997/embeddings\",\n    json={\"model\":\"openai/clip-vit-base-patch32\",\"input\":[\"Two cute cats.\"]})\n```\n\n## Running Image Embeddings\n```python\nrequests.post(\"http://..:7997/embeddings\",\n    json={\n        \"model\": \"openai/clip-vit-base-patch32\",\n        \"encoding_format\": \"base64\",\n        \"input\": [\n            \"http://images.cocodataset.org/val2017/000000039769.jpg\",\n            # can also be base64 encoded\n        ],\n        # set extra modality to image to process as image\n        \"modality\": \"image\"\n)\n```\n\n## Running Audio Embeddings\n```python\nimport requests, base64\nurl = \"https://github.com/michaelfeil/infinity/raw/3b72eb7c14bae06e68ddd07c1f23fe0bf403f220/libs/infinity_emb/tests/data/audio/beep.wav\"\n\ndef url_to_base64(url, modality = \"image\"):\n    '''small helper to convert url to base64 without server requiring access to the url'''\n    response = requests.get(url)\n    response.raise_for_status()\n    base64_encoded = base64.b64encode(response.content).decode('utf-8')\n    mimetype = f\"{modality}/{url.split('.')[-1]}\"\n    return f\"data:{mimetype};base64,{base64_encoded}\"\n\nrequests.post(\"http://localhost:7997/embeddings\",\n    json={\n        \"model\": \"laion/larger_clap_general\",\n        \"encoding_format\": \"float\",\n        \"input\": [\n            url, url_to_base64(url, \"audio\")\n        ],\n        # set extra modality to audio to process as audio\n        \"modality\": \"audio\"\n    }\n)\n```\n\n## Running via OpenAI Client\n```python\nfrom openai import OpenAI # pip install openai==1.51.0\nclient = OpenAI(base_url=\"http://localhost:7997/\")\nclient.embeddings.create(\n    model=\"laion/larger_clap_general\",\n    input=[url_to_base64(url, \"audio\")],\n    encoding_format=\"float\",\n    extra_body={\n        \"modality\": \"audio\"\n    }\n)\n\nclient.embeddings.create(\n    model=\"laion/larger_clap_general\",\n    input=[\"the sound of a beep\", \"the sound of a cat\"],\n    encoding_format=\"base64\", # base64: optional high performance setting\n    extra_body={\n        \"modality\": \"text\"\n    }\n)\n```\n\n### Hint: Run all the above models on one server:\n```bash\ninfinity_emb v2 --model-id BAAI/bge-small-en-v1.5 --model-id openai/clip-vit-base-patch32 --model-id laion/larger_clap_general\n```","operationId":"embeddings","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/MultiModalOpenAIEmbedding"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/rerank":{"post":{"summary":" Rerank","description":"Rerank documents. Aligned with Cohere API (https://docs.cohere.com/reference/rerank)\n\n```python\nimport requests\nrequests.post(\"http://..:7997/rerank\",\n    json={\n        \"model\":\"mixedbread-ai/mxbai-rerank-xsmall-v1\",\n        \"query\":\"Where is Munich?\",\n        \"documents\":[\"Munich is in Germany.\", \"The sky is blue.\"]\n    })\n```","operationId":"rerank","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/RerankInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ReRankResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/classify":{"post":{"summary":" Classify","description":"Score or Classify Sentiments\n\n```python\nimport requests\nrequests.post(\"http://..:7997/classify\",\n    json={\"model\":\"SamLowe/roberta-base-go_emotions\",\"input\":[\"I am not having a great day.\"]})\n```","operationId":"classify","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ClassifyInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ClassifyResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/embeddings_image":{"post":{"summary":"Deprecated: Use `embeddings` with `modality` set to `image`","description":"Encode Embeddings from Image files\n\nSupports URLs of Images and Base64-encoded Images\n\n```python\nimport requests\nrequests.post(\"http://..:7997/embeddings_image\",\n    json={\n        \"model\":\"openai/clip-vit-base-patch32\",\n        \"input\": [\n            \"http://images.cocodataset.org/val2017/000000039769.jpg\",\n            \"data:image/png;base64,iVBORw0KGgoDEMOoSAMPLEoENCODEDIMAGE\"\n        ]\n    })\n```","operationId":"embeddings_image","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ImageEmbeddingInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"deprecated":true}},"/embeddings_audio":{"post":{"summary":"Deprecated: Use `embeddings` with `modality` set to `audio`","description":"Encode Embeddings from Audio files\n\nSupports URLs of Audios and Base64-encoded Audios\n\n```python\nimport requests\nrequests.post(\"http://..:7997/embeddings_audio\",\n    json={\n        \"model\":\"laion/larger_clap_general\",\n        \"input\": [\n            \"https://github.com/michaelfeil/infinity/raw/3b72eb7c14bae06e68ddd07c1f23fe0bf403f220/libs/infinity_emb/tests/data/audio/beep.wav\",\n            \"data:audio/wav;base64,iVBORw0KGgoDEMOoSAMPLEoENCODEDAUDIO\"\n        ]\n    })\n```","operationId":"embeddings_audio","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/AudioEmbeddingInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"deprecated":true}},"/metrics":{"get":{"summary":"Metrics","description":"Endpoint that serves Prometheus metrics.","operationId":"metrics_metrics_get","responses":{"200":{"description":"Successful 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DO NO LONGER UPDATE"},"ClassifyInput":{"properties":{"input":{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1,"title":"Input"},"model":{"type":"string","title":"Model","default":"default/not-specified"},"raw_scores":{"type":"boolean","title":"Raw Scores","default":false}},"type":"object","required":["input"],"title":"ClassifyInput"},"ClassifyResult":{"properties":{"object":{"type":"string","enum":["classify"],"const":"classify","title":"Object","default":"classify"},"data":{"items":{"items":{"$ref":"#/components/schemas/_ClassifyObject"},"type":"array"},"type":"array","title":"Data"},"model":{"type":"string","title":"Model"},"usage":{"$ref":"#/components/schemas/_Usage"},"id":{"type":"string","title":"Id"},"created":{"type":"integer","title":"Created"}},"type":"object","required":["data","model","usage"],"title":"ClassifyResult","description":"Result of classification."},"EmbeddingEncodingFormat":{"type":"string","enum":["float","base64"],"title":"EmbeddingEncodingFormat"},"HTTPValidationError":{"properties":{"detail":{"items":{"$ref":"#/components/schemas/ValidationError"},"type":"array","title":"Detail"}},"type":"object","title":"HTTPValidationError"},"ImageEmbeddingInput":{"properties":{"input":{"anyOf":[{"items":{"anyOf":[{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}]},"type":"array","maxItems":32,"minItems":1},{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}],"title":"Input"},"model":{"type":"string","title":"Model","default":"default/not-specified"},"encoding_format":{"$ref":"#/components/schemas/EmbeddingEncodingFormat","default":"float"},"user":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"User"}},"type":"object","required":["input"],"title":"ImageEmbeddingInput","description":"LEGACY, DO NO LONGER UPDATE"},"ModelInfo":{"properties":{"id":{"type":"string","title":"Id"},"stats":{"type":"object","title":"Stats"},"object":{"type":"string","enum":["model"],"const":"model","title":"Object","default":"model"},"owned_by":{"type":"string","enum":["infinity"],"const":"infinity","title":"Owned 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the Cohere protocol for Rerankers."},"RerankInput":{"properties":{"query":{"type":"string","maxLength":122880,"title":"Query"},"documents":{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1,"title":"Documents"},"return_documents":{"type":"boolean","title":"Return Documents","default":false},"raw_scores":{"type":"boolean","title":"Raw Scores","default":false},"model":{"type":"string","title":"Model","default":"default/not-specified"},"top_n":{"anyOf":[{"type":"integer","exclusiveMinimum":0.0},{"type":"null"}],"title":"Top N"}},"type":"object","required":["query","documents"],"title":"RerankInput","description":"Input for reranking"},"ValidationError":{"properties":{"loc":{"items":{"anyOf":[{"type":"string"},{"type":"integer"}]},"type":"array","title":"Location"},"msg":{"type":"string","title":"Message"},"type":{"type":"string","title":"Error Type"}},"type":"object","required":["loc","msg","type"],"title":"ValidationError"},"_ClassifyObject":{"properties":{"score":{"type":"number","title":"Score"},"label":{"type":"string","title":"Label"}},"type":"object","required":["score","label"],"title":"_ClassifyObject"},"_EmbeddingObject":{"properties":{"object":{"type":"string","enum":["embedding"],"const":"embedding","title":"Object","default":"embedding"},"embedding":{"anyOf":[{"items":{"type":"number"},"type":"array"},{"type":"string","format":"binary"},{"items":{"items":{"type":"number"},"type":"array"},"type":"array"}],"title":"Embedding"},"index":{"type":"integer","title":"Index"}},"type":"object","required":["embedding","index"],"title":"_EmbeddingObject"},"_OpenAIEmbeddingInput_Text":{"properties":{"model":{"type":"string","title":"Model","default":"default/not-specified"},"encoding_format":{"$ref":"#/components/schemas/EmbeddingEncodingFormat","default":"float"},"user":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"User"},"input":{"anyOf":[{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1},{"type":"string","maxLength":122880}],"title":"Input"},"modality":{"type":"string","enum":["text"],"const":"text","title":"Modality","default":"text"}},"type":"object","required":["input"],"title":"_OpenAIEmbeddingInput_Text","description":"helper"},"_ReRankObject":{"properties":{"relevance_score":{"type":"number","title":"Relevance Score"},"index":{"type":"integer","title":"Index"},"document":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Document"}},"type":"object","required":["relevance_score","index"],"title":"_ReRankObject"},"_Usage":{"properties":{"prompt_tokens":{"type":"integer","title":"Prompt Tokens"},"total_tokens":{"type":"integer","title":"Total Tokens"}},"type":"object","required":["prompt_tokens","total_tokens"],"title":"_Usage"}}}}
\ No newline at end of file
+{"openapi":"3.1.0","info":{"title":"♾️ Infinity - Embedding Inference Server","summary":"Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip. Infinity is developed under MIT License at https://github.com/michaelfeil/infinity.","contact":{"name":"Michael Feil"},"license":{"name":"MIT License","identifier":"MIT"},"version":"0.0.67"},"paths":{"/health":{"get":{"summary":" Health","description":"health check endpoint\n\nReturns:\n    dict(unix=float): dict with unix time stamp","operationId":"health","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"additionalProperties":{"type":"number"},"type":"object","title":"Response Health"}}}}}}},"/":{"get":{"summary":"Redirect","operationId":"redirect__get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/models":{"get":{"summary":" Models","description":"get models endpoint","operationId":"models","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIModelInfo"}}}}}}},"/embeddings":{"post":{"summary":" Embeddings","description":"Encode Embeddings. Supports with multimodal inputs. Aligned with OpenAI Embeddings API.\n\n## Running Text Embeddings\n```python\nimport requests, base64\nrequests.post(\"http://..:7997/embeddings\",\n    json={\"model\":\"openai/clip-vit-base-patch32\",\"input\":[\"Two cute cats.\"]})\n```\n\n## Running Image Embeddings\n```python\nrequests.post(\"http://..:7997/embeddings\",\n    json={\n        \"model\": \"openai/clip-vit-base-patch32\",\n        \"encoding_format\": \"base64\",\n        \"input\": [\n            \"http://images.cocodataset.org/val2017/000000039769.jpg\",\n            # can also be base64 encoded\n        ],\n        # set extra modality to image to process as image\n        \"modality\": \"image\"\n)\n```\n\n## Running Audio Embeddings\n```python\nimport requests, base64\nurl = \"https://github.com/michaelfeil/infinity/raw/3b72eb7c14bae06e68ddd07c1f23fe0bf403f220/libs/infinity_emb/tests/data/audio/beep.wav\"\n\ndef url_to_base64(url, modality = \"image\"):\n    '''small helper to convert url to base64 without server requiring access to the url'''\n    response = requests.get(url)\n    response.raise_for_status()\n    base64_encoded = base64.b64encode(response.content).decode('utf-8')\n    mimetype = f\"{modality}/{url.split('.')[-1]}\"\n    return f\"data:{mimetype};base64,{base64_encoded}\"\n\nrequests.post(\"http://localhost:7997/embeddings\",\n    json={\n        \"model\": \"laion/larger_clap_general\",\n        \"encoding_format\": \"float\",\n        \"input\": [\n            url, url_to_base64(url, \"audio\")\n        ],\n        # set extra modality to audio to process as audio\n        \"modality\": \"audio\"\n    }\n)\n```\n\n## Running via OpenAI Client\n```python\nfrom openai import OpenAI # pip install openai==1.51.0\nclient = OpenAI(base_url=\"http://localhost:7997/\")\nclient.embeddings.create(\n    model=\"laion/larger_clap_general\",\n    input=[url_to_base64(url, \"audio\")],\n    encoding_format=\"float\",\n    extra_body={\n        \"modality\": \"audio\"\n    }\n)\n\nclient.embeddings.create(\n    model=\"laion/larger_clap_general\",\n    input=[\"the sound of a beep\", \"the sound of a cat\"],\n    encoding_format=\"base64\", # base64: optional high performance setting\n    extra_body={\n        \"modality\": \"text\"\n    }\n)\n```\n\n### Hint: Run all the above models on one server:\n```bash\ninfinity_emb v2 --model-id BAAI/bge-small-en-v1.5 --model-id openai/clip-vit-base-patch32 --model-id laion/larger_clap_general\n```","operationId":"embeddings","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/MultiModalOpenAIEmbedding"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/rerank":{"post":{"summary":" Rerank","description":"Rerank documents. Aligned with Cohere API (https://docs.cohere.com/reference/rerank)\n\n```python\nimport requests\nrequests.post(\"http://..:7997/rerank\",\n    json={\n        \"model\":\"mixedbread-ai/mxbai-rerank-xsmall-v1\",\n        \"query\":\"Where is Munich?\",\n        \"documents\":[\"Munich is in Germany.\", \"The sky is blue.\"]\n    })\n```","operationId":"rerank","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/RerankInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ReRankResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/classify":{"post":{"summary":" Classify","description":"Score or Classify Sentiments\n\n```python\nimport requests\nrequests.post(\"http://..:7997/classify\",\n    json={\"model\":\"SamLowe/roberta-base-go_emotions\",\"input\":[\"I am not having a great day.\"]})\n```","operationId":"classify","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ClassifyInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ClassifyResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/embeddings_image":{"post":{"summary":"Deprecated: Use `embeddings` with `modality` set to `image`","description":"Encode Embeddings from Image files\n\nSupports URLs of Images and Base64-encoded Images\n\n```python\nimport requests\nrequests.post(\"http://..:7997/embeddings_image\",\n    json={\n        \"model\":\"openai/clip-vit-base-patch32\",\n        \"input\": [\n            \"http://images.cocodataset.org/val2017/000000039769.jpg\",\n            \"data:image/png;base64,iVBORw0KGgoDEMOoSAMPLEoENCODEDIMAGE\"\n        ]\n    })\n```","operationId":"embeddings_image","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ImageEmbeddingInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"deprecated":true}},"/embeddings_audio":{"post":{"summary":"Deprecated: Use `embeddings` with `modality` set to `audio`","description":"Encode Embeddings from Audio files\n\nSupports URLs of Audios and Base64-encoded Audios\n\n```python\nimport requests\nrequests.post(\"http://..:7997/embeddings_audio\",\n    json={\n        \"model\":\"laion/larger_clap_general\",\n        \"input\": [\n            \"https://github.com/michaelfeil/infinity/raw/3b72eb7c14bae06e68ddd07c1f23fe0bf403f220/libs/infinity_emb/tests/data/audio/beep.wav\",\n            \"data:audio/wav;base64,iVBORw0KGgoDEMOoSAMPLEoENCODEDAUDIO\"\n        ]\n    })\n```","operationId":"embeddings_audio","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/AudioEmbeddingInput"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/OpenAIEmbeddingResult"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"deprecated":true}},"/metrics":{"get":{"summary":"Metrics","description":"Endpoint that serves Prometheus metrics.","operationId":"metrics_metrics_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}}},"components":{"schemas":{"AudioEmbeddingInput":{"properties":{"input":{"anyOf":[{"items":{"anyOf":[{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}]},"type":"array","maxItems":32,"minItems":1},{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}],"title":"Input"},"model":{"type":"string","title":"Model","default":"default/not-specified"},"encoding_format":{"$ref":"#/components/schemas/EmbeddingEncodingFormat","default":"float"},"user":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"User"}},"type":"object","required":["input"],"title":"AudioEmbeddingInput","description":"LEGACY, DO NO LONGER UPDATE"},"ClassifyInput":{"properties":{"input":{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1,"title":"Input"},"model":{"type":"string","title":"Model","default":"default/not-specified"},"raw_scores":{"type":"boolean","title":"Raw Scores","default":false}},"type":"object","required":["input"],"title":"ClassifyInput"},"ClassifyResult":{"properties":{"object":{"type":"string","enum":["classify"],"const":"classify","title":"Object","default":"classify"},"data":{"items":{"items":{"$ref":"#/components/schemas/_ClassifyObject"},"type":"array"},"type":"array","title":"Data"},"model":{"type":"string","title":"Model"},"usage":{"$ref":"#/components/schemas/_Usage"},"id":{"type":"string","title":"Id"},"created":{"type":"integer","title":"Created"}},"type":"object","required":["data","model","usage"],"title":"ClassifyResult","description":"Result of classification."},"EmbeddingEncodingFormat":{"type":"string","enum":["float","base64"],"title":"EmbeddingEncodingFormat"},"HTTPValidationError":{"properties":{"detail":{"items":{"$ref":"#/components/schemas/ValidationError"},"type":"array","title":"Detail"}},"type":"object","title":"HTTPValidationError"},"ImageEmbeddingInput":{"properties":{"input":{"anyOf":[{"items":{"anyOf":[{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}]},"type":"array","maxItems":32,"minItems":1},{"type":"string","pattern":"data:(?P<mimetype>[\\w]+\\/[\\w\\-\\+\\.]+)?(?:\\;name\\=(?P<name>[\\w\\.\\-%!*'~\\(\\)]+))?(?:\\;charset\\=(?P<charset>[\\w\\-\\+\\.]+))?(?P<base64>\\;base64)?,(?P<data>.*)","examples":["data:text/plain;charset=utf-8;base64,VGhlIHF1aWNrIGJyb3duIGZveCBqdW1wZWQgb3ZlciB0aGUgbGF6eSBkb2cu"]},{"type":"string","maxLength":2083,"minLength":1,"format":"uri"}],"title":"Input"},"model":{"type":"string","title":"Model","default":"default/not-specified"},"encoding_format":{"$ref":"#/components/schemas/EmbeddingEncodingFormat","default":"float"},"user":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"User"}},"type":"object","required":["input"],"title":"ImageEmbeddingInput","description":"LEGACY, DO NO LONGER UPDATE"},"ModelInfo":{"properties":{"id":{"type":"string","title":"Id"},"stats":{"type":"object","title":"Stats"},"object":{"type":"string","enum":["model"],"const":"model","title":"Object","default":"model"},"owned_by":{"type":"string","enum":["infinity"],"const":"infinity","title":"Owned 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the Cohere protocol for Rerankers."},"RerankInput":{"properties":{"query":{"type":"string","maxLength":122880,"title":"Query"},"documents":{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1,"title":"Documents"},"return_documents":{"type":"boolean","title":"Return Documents","default":false},"raw_scores":{"type":"boolean","title":"Raw Scores","default":false},"model":{"type":"string","title":"Model","default":"default/not-specified"},"top_n":{"anyOf":[{"type":"integer","exclusiveMinimum":0.0},{"type":"null"}],"title":"Top N"}},"type":"object","required":["query","documents"],"title":"RerankInput","description":"Input for reranking"},"ValidationError":{"properties":{"loc":{"items":{"anyOf":[{"type":"string"},{"type":"integer"}]},"type":"array","title":"Location"},"msg":{"type":"string","title":"Message"},"type":{"type":"string","title":"Error Type"}},"type":"object","required":["loc","msg","type"],"title":"ValidationError"},"_ClassifyObject":{"properties":{"score":{"type":"number","title":"Score"},"label":{"type":"string","title":"Label"}},"type":"object","required":["score","label"],"title":"_ClassifyObject"},"_EmbeddingObject":{"properties":{"object":{"type":"string","enum":["embedding"],"const":"embedding","title":"Object","default":"embedding"},"embedding":{"anyOf":[{"items":{"type":"number"},"type":"array"},{"type":"string","format":"binary"},{"items":{"items":{"type":"number"},"type":"array"},"type":"array"}],"title":"Embedding"},"index":{"type":"integer","title":"Index"}},"type":"object","required":["embedding","index"],"title":"_EmbeddingObject"},"_OpenAIEmbeddingInput_Text":{"properties":{"model":{"type":"string","title":"Model","default":"default/not-specified"},"encoding_format":{"$ref":"#/components/schemas/EmbeddingEncodingFormat","default":"float"},"user":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"User"},"input":{"anyOf":[{"items":{"type":"string","maxLength":122880},"type":"array","maxItems":2048,"minItems":1},{"type":"string","maxLength":122880}],"title":"Input"},"modality":{"type":"string","enum":["text"],"const":"text","title":"Modality","default":"text"}},"type":"object","required":["input"],"title":"_OpenAIEmbeddingInput_Text","description":"helper"},"_ReRankObject":{"properties":{"relevance_score":{"type":"number","title":"Relevance Score"},"index":{"type":"integer","title":"Index"},"document":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Document"}},"type":"object","required":["relevance_score","index"],"title":"_ReRankObject"},"_Usage":{"properties":{"prompt_tokens":{"type":"integer","title":"Prompt Tokens"},"total_tokens":{"type":"integer","title":"Total Tokens"}},"type":"object","required":["prompt_tokens","total_tokens"],"title":"_Usage"}}}}
\ No newline at end of file
diff --git a/libs/client_infinity/infinity_client/pyproject.toml b/libs/client_infinity/infinity_client/pyproject.toml
index 35a76227..d35628b5 100644
--- a/libs/client_infinity/infinity_client/pyproject.toml
+++ b/libs/client_infinity/infinity_client/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "infinity_client"
-version = "0.0.65"
+version = "0.0.67"
 description = "A client library for accessing ♾️ Infinity - Embedding Inference Server"
 authors = []
 readme = "README.md"
diff --git a/libs/infinity_emb/infinity_emb/_optional_imports.py b/libs/infinity_emb/infinity_emb/_optional_imports.py
index 64d45bab..63193aac 100644
--- a/libs/infinity_emb/infinity_emb/_optional_imports.py
+++ b/libs/infinity_emb/infinity_emb/_optional_imports.py
@@ -64,7 +64,10 @@ def _raise_error(self) -> None:
 CHECK_FASTAPI = OptionalImports("fastapi", "server")
 CHECK_ONNXRUNTIME = OptionalImports("optimum.onnxruntime", "optimum")
 CHECK_OPTIMUM = OptionalImports("optimum", "optimum")
-CHECK_OPTIMUM_NEURON = OptionalImports("optimum.neuron", "neuronx")
+CHECK_OPTIMUM_NEURON = OptionalImports(
+    "optimum.neuron",
+    "<neuronx not available as extra, only runs on AMI image, no pip install possible.>",
+)
 CHECK_PIL = OptionalImports("PIL", "vision")
 CHECK_POSTHOG = OptionalImports("posthog", "server")
 CHECK_PYDANTIC = OptionalImports("pydantic", "server")
diff --git a/libs/infinity_emb/pyproject.toml b/libs/infinity_emb/pyproject.toml
index 3e8ff8ec..67e880b4 100644
--- a/libs/infinity_emb/pyproject.toml
+++ b/libs/infinity_emb/pyproject.toml
@@ -1,7 +1,7 @@
 
 [tool.poetry]
 name = "infinity_emb"
-version = "0.0.66"
+version = "0.0.67"
 description = "Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip."
 authors = ["michaelfeil <noreply@michaelfeil.eu>"]
 license = "MIT"