Oracle Generative AI Inference API is one of 378 APIs that Oracle publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include GenerativeAiInference. The published artifact set on APIs.io includes an OpenAPI specification and an API reference.
This API exposes
7 operations
across 7 paths,
and defines 38 schemas.
It is described by OpenAPI 3.2.0, at version 20231130.
Requests are made against 2 base URLs: http://127.0.0.1/20231130, https://127.0.0.1/20231130.
7 operations7 paths38 schemas1 GET6 POST
Metadata
The identity and technical contract details declared by the specification.
Specification
OpenAPI 3.2.0
API Version
20231130
Base URL
https://{host}:{port}/ords/
Resource Areas
1
Paths & Operations 7
Across 7 paths, the API surfaces 7 operations — 1 GET, 6 POST. Each is listed below with its method, path, parameters, and response codes.
The contract defines 38 schemas that model the data the API accepts and returns. The most detailed are EmbedTextDetails (9 properties), SummarizeTextDetails (9 properties), RerankTextDetails (8 properties), EmbedTextResult (8 properties). Each schema is shown below with its type and property counts.
ChatDetails
object
Details of the conversation for the model to respond.
3 properties3 required
BaseChatRequest
object
The base class to use for the chat inference request.
1 property1 required
GenerateTextResult
object
The generated text result to return.
3 properties3 required
PromptInjectionConfiguration
object
Configuration for prompt injection
SummarizeTextDetails
object
Details for the request to summarize text.
9 properties3 required
PersonallyIdentifiableInformationResult
object
An item of personally identifiable information.
5 properties5 required
BaseChatResponse
object
The base class that creates the chat response.
1 property1 required
ContentModerationConfiguration
object
Configuration for content moderation.
1 property1 required
GuardrailsResults
object
The results of applying each guardrail.
3 properties
GuardrailConfigs
object
Additional configuration for each guardrail.
3 properties
ServingMode
object
The model's serving mode, which is either on-demand serving or dedicated serving.
1 property1 required
PersonallyIdentifiableInformationConfiguration
object
Configuration for personally identifiable information detection.
1 property1 required
RerankTextDetails
object
Details required for a rerank request.
8 properties4 required
CategoryScore
object
A category with its score.
3 properties2 required
EmbedContent
object
The base class for the embed content.
1 property1 required
GuardrailVersionSummary
object
Details of a guardrail version.
7 properties3 required
PromptInjectionProtectionResult
object
The result of prompt injection protection.
2 properties1 required
Usage
object
Usage statistics for the completion request.
5 properties
Document
object
The input of the document to rerank.
1 property1 required
CompletionTokensDetails
object
Breakdown of tokens used in a completion.
3 properties
ApplyGuardrailsResult
object
The result of applying guardrails to the input content.
2 properties1 required
GuardrailVersionResponse
object
The guardaril version applied on the given content.
1 property1 required
SummarizeTextResult
object
Summarize text result to return to caller.
5 properties2 required
GuardrailsInput
object
The input data for applying guardrails. This can be text, image, video, or audio content.
1 property1 required
LlmInferenceRequest
object
The base class for the inference requests.
1 property1 required
RerankTextResult
object
The rerank response to return to the caller.
4 properties2 required
Error
object
Error Information.
2 properties2 required
LlmInferenceResponse
object
The base class for inference responses.
1 property1 required
GuardrailVersionCollection
object
The response containing a list of guardrail system versions.
1 property1 required
ContentModerationResult
object
The result of content moderation.
1 property1 required
ApplyGuardrailsDetails
object
Details for applying guardrails to the input content. Case 1: Use input for simple single-text moderation. Existing customers can continue to use this field fo…
5 properties2 required
PromptTokensDetails
object
Breakdown of tokens used in the prompt.
1 property
DocumentRank
object
An object that contains a relevance score, an index and the text for a document.
3 properties
EmbedTextResult
object
The generated embedded result to return.
8 properties2 required
GuardrailVersionConfig
object
The version of the guardrail to use. If not specified, the default version will be used.
1 property1 required
GenerateTextDetails
object
Details for the request to generate text.
3 properties3 required
ChatResult
object
The response to the chat conversation.
3 properties3 required
EmbedTextDetails
object
Details for the request to embed texts.
9 properties2 required
Specification
The full machine-readable OpenAPI contract behind this narrative.
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