This contract is currently in the Proof-of-concept stage and still subject to change
Introduction
To expose AI services to our system, we need an API to be exposed for the MediaHaven installation. When creating new Module Plugins having of the following https://mediahaven.atlassian.The contract of this API is as follows (anything can be added before the path):net/wiki/spaces/CS/pages/edit-v2/4438884395#Categories
Embedding
GenerativeMetadata
then MediaHaven will connect to this plugin using REST API calls, which must implement the following methods depending on the category.
Methods
GET /config-rules
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It gives the possible configuration parameters for this connector
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{ "Rules": [ { "Name": "TextModel", "Type": "String|Integer|Boolean", "Required": false, "Default" : "ada2" } ] } |
POST /text-embedding
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Expected parameters
...
Text as json JSON body in Text
property and Config
based on config rules
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{ "Text": "Given me pictures of lamas", "Dimensions": 1536, "Config": { "TextModel" : "ada2" } } |
Expected headers
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x-api-key: <optional api key> |
Output
Array of float (vector) with size equal to dimensions. The vector is normalized
POST /embedding
Expected parameters:
Record as json body in Metadata
property and Config
based on config rulesMUST BE normalized. When the provided dimensions
are 0
, the embedding should be in the natural dimensions used by the embedding. If the embeddings cannot be provided in the requested dimensions
, then a 400
HTTP error code should be returned.
Ex.
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{ "Metadata": { "RightsManagement": { "Permissions": { "ExportEmbedding": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", -0.006929283495992422, "dd100b7a-efd0-44e3-8816-0905572421da"-0.005336422007530928, ... (omitted for spacing) "da100b7a-efd0-44e3-8816-0905572421da" ], "Write": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", -4.547132266452536e-05, "dd100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ], "Read": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "dd100b7a-efd0-44e3-8816-0905572421da", "330060ae-548c-474f-a863-9673fdf99458", "de100b7a-efd0-44e3-8816-0905572421da", "df100b7a-efd0-44e3-8816-0905572421da", -0.024047505110502243] } |
POST /embedding
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Expected parameters
Record as JSON body in Metadata
property and Config
based on config rules
Ex.
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{ "Config": { "TextModel" : "ada2" }, "Metadata": { "RightsManagement": { "da100b7a-efd0-44e3-8816-0905572421da" ] "Permissions": {...}, "RecordPhase": "Concept", "ExpiryDate": null, "ExpiryStatus": null, "Zone": {} } }, "Config": { "TextModelDimensions" : "ada2"1536 } } |
Expected headers
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x-api-key: <optional api key> |
Output
Array of float (vector) with size equal to dimensions. The vector is normalizedMUST BE normalized. When the provided dimensions
are 0
, the embedding should be in the natural dimensions used by the embedding. If the embeddings cannot be provided in the requested dimensions
, then a 400
HTTP error code should be returned.
Ex.
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{ "Embedding": [ -0.006929283495992422, -0.005336422007530928, ... (omitted for spacing) -4.547132266452536e-05, -0.024047505110502243 ] } |
POST /describe
POST /generative-metadata/description
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Expected parameters
...
Record as json JSON body in Metadata
property and Config
based on config rules
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{ "MetadataConfig": { "RightsManagement": { "Permissions": { "Export": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "dd100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ], TextModel" : "ada2" }, "Metadata": { "WriteRightsManagement": [ { "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "dd100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ], "Read": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "dd100b7a-efd0-44e3-8816-0905572421da", "330060ae-548c-474f-a863-9673fdf99458", "de100b7a-efd0-44e3-8816-0905572421da", "df100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ] Permissions": {...}, "RecordPhase": "Concept", "ExpiryDate": null, "ExpiryStatus": null, "Zone": {} } }, "Config": { "TextModel" : "ada2" } } |
Expected headers
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x-api-key: <optional api key> |
Output
Textual string
Ex.
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{ "Description": "This is an image of a cat" } |
POST /
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generative-metadata
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Record as json JSON body in Metadata
property, Describe
Fields
with as items Dotted dotted keys and AI hint as value, Locale
as the requested target locale for the output and finally Config
based on config rules
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{ "MetadataFields": { "RightsManagementDescriptive.Description": { "PermissionsHint": {"Give a description for "Export": [the image" }, "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "Descriptive.Keywords.Keyword": { "dd100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ], "Hint": "Give a list of keywords. Generate around 10.", "WriteType": [ "058b5713-a7d6-45fe-81fc-bcb8b1925fbf","array" } }, "dd100b7a-efd0-44e3-8816-0905572421da", "da100b7a-efd0-44e3-8816-0905572421da" ], "Read": [ "Locale": "en_US", "Config": { "058b5713-a7d6-45fe-81fc-bcb8b1925fbf", "dd100b7a-efd0-44e3-8816-0905572421da", "330060ae-548c-474f-a863-9673fdf99458", "de100b7a-efd0-44e3-8816-0905572421da", "df100b7a-efd0-44e3-8816-0905572421da", "TextModel" : "ada2" }, "Metadata": { "RightsManagement": { "da100b7a-efd0-44e3-8816-0905572421da" ] "Permissions": {...}, "RecordPhase": "Concept", "ExpiryDate": null, "ExpiryStatus": null, "Zone": {} } }, "Fields": { "Descriptive.Description": "Give a description for the image" } "Config": { "TextModel" : "ada2" } } |
Expected headers
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x-api-key: <optional api key> |
Output
Follow the input fields a nested structure should be returned A JSON object of generated fields with as keys dotted keys and as value the AI's generated value.
Ex:
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{ "DescriptiveGeneratedFields": { "Descriptive.Description": "This is an image of a cat", "Descriptive.Keywords.Keyword": ["Animal", "Cat", ...] } } |