first commit
This commit is contained in:
90
docs/openapi/schemas/integrations/openai/audio.yaml
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90
docs/openapi/schemas/integrations/openai/audio.yaml
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# OpenAI Integration Audio Schemas (Speech and Transcription)
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# Speech (TTS) Request
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OpenAISpeechRequest:
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type: object
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required:
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- model
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- input
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properties:
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model:
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type: string
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description: Model identifier (e.g., tts-1, tts-1-hd)
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example: tts-1
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input:
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type: string
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description: Text to convert to speech
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voice:
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type: string
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description: Voice to use
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enum: [alloy, echo, fable, onyx, nova, shimmer]
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response_format:
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type: string
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enum: [mp3, opus, aac, flac, wav, pcm]
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speed:
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type: number
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minimum: 0.25
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maximum: 4.0
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stream_format:
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type: string
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enum: [sse]
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description: Set to 'sse' for streaming
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# Bifrost-specific
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fallbacks:
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type: array
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items:
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type: string
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# Transcription Request
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OpenAITranscriptionRequest:
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type: object
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required:
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- model
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- file
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properties:
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model:
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type: string
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description: Model identifier (e.g., whisper-1)
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example: whisper-1
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file:
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type: string
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format: binary
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description: Audio file to transcribe
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language:
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type: string
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description: Language of the audio (ISO 639-1)
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prompt:
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type: string
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description: Prompt to guide transcription
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response_format:
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type: string
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enum: [json, text, srt, verbose_json, vtt]
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temperature:
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type: number
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minimum: 0
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maximum: 1
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timestamp_granularities:
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type: array
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items:
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type: string
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enum: [word, segment]
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stream:
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type: boolean
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# Bifrost-specific
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fallbacks:
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type: array
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items:
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type: string
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# Responses reuse inference schemas
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OpenAISpeechResponse:
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$ref: '../../inference/speech.yaml#/SpeechResponse'
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OpenAISpeechStreamResponse:
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$ref: '../../inference/speech.yaml#/SpeechStreamResponse'
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OpenAITranscriptionResponse:
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$ref: '../../inference/transcription.yaml#/TranscriptionResponse'
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OpenAITranscriptionStreamResponse:
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$ref: '../../inference/transcription.yaml#/TranscriptionStreamResponse'
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57
docs/openapi/schemas/integrations/openai/batch.yaml
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57
docs/openapi/schemas/integrations/openai/batch.yaml
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# OpenAI Integration Batch API Schemas
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# Reuses inference batch schemas since OpenAI integration uses Bifrost format
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# Batch Create Request - uses Bifrost format with provider field
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OpenAIBatchCreateRequest:
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$ref: '../../inference/batch.yaml#/BatchCreateRequest'
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OpenAIBatchCreateResponse:
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$ref: '../../inference/batch.yaml#/BatchCreateResponse'
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OpenAIBatchListRequest:
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type: object
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properties:
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limit:
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type: integer
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description: Maximum number of batches to return
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default: 30
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after:
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type: string
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description: Cursor for pagination
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provider:
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type: string
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description: Filter by provider
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example: openai
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OpenAIBatchListResponse:
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$ref: '../../inference/batch.yaml#/BatchListResponse'
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OpenAIBatchRetrieveRequest:
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type: object
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required:
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- batch_id
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properties:
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batch_id:
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type: string
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description: Batch ID to retrieve
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provider:
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type: string
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description: Provider for the batch
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OpenAIBatchRetrieveResponse:
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$ref: '../../inference/batch.yaml#/BatchRetrieveResponse'
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OpenAIBatchCancelRequest:
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type: object
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required:
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- batch_id
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properties:
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batch_id:
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type: string
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description: Batch ID to cancel
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provider:
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type: string
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description: Provider for the batch
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OpenAIBatchCancelResponse:
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$ref: '../../inference/batch.yaml#/BatchCancelResponse'
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121
docs/openapi/schemas/integrations/openai/chat.yaml
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121
docs/openapi/schemas/integrations/openai/chat.yaml
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# OpenAI Integration Chat Completions Schemas
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# Reuses inference schemas where possible since Bifrost follows OpenAI format
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OpenAIChatRequest:
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type: object
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required:
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- model
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- messages
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properties:
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model:
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type: string
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description: Model identifier (e.g., gpt-4, gpt-3.5-turbo)
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example: gpt-4
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messages:
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type: array
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items:
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$ref: '#/OpenAIMessage'
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description: List of messages in the conversation
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stream:
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type: boolean
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description: Whether to stream the response
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max_tokens:
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type: integer
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description: Maximum tokens to generate (legacy, use max_completion_tokens)
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max_completion_tokens:
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type: integer
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description: Maximum tokens to generate
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temperature:
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type: number
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minimum: 0
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maximum: 2
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top_p:
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type: number
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frequency_penalty:
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type: number
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minimum: -2.0
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maximum: 2.0
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presence_penalty:
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type: number
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minimum: -2.0
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maximum: 2.0
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logit_bias:
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type: object
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additionalProperties:
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type: number
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logprobs:
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type: boolean
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top_logprobs:
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type: integer
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n:
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type: integer
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stop:
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oneOf:
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- type: string
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- type: array
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items:
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type: string
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seed:
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type: integer
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user:
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type: string
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tools:
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type: array
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items:
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$ref: '../../inference/chat.yaml#/ChatTool'
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tool_choice:
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$ref: '../../inference/chat.yaml#/ChatToolChoice'
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parallel_tool_calls:
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type: boolean
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response_format:
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type: object
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description: Format for the response
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reasoning_effort:
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type: string
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enum: [none, minimal, low, medium, high, xhigh]
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description: OpenAI reasoning effort level
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service_tier:
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type: string
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stream_options:
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$ref: '../../inference/chat.yaml#/ChatStreamOptions'
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# Bifrost-specific
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fallbacks:
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type: array
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items:
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type: string
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description: Fallback models
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OpenAIMessage:
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type: object
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required:
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- role
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properties:
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role:
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type: string
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enum: [system, user, assistant, tool, developer]
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name:
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type: string
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content:
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$ref: '../../inference/chat.yaml#/ChatMessageContent'
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tool_call_id:
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type: string
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description: For tool messages
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refusal:
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type: string
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reasoning:
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type: string
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annotations:
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type: array
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items:
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$ref: '../../inference/chat.yaml#/ChatAssistantMessageAnnotation'
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tool_calls:
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type: array
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items:
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$ref: '../../inference/chat.yaml#/ChatAssistantMessageToolCall'
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# Response reuses inference schema since format is identical
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OpenAIChatResponse:
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$ref: '../../inference/chat.yaml#/ChatCompletionResponse'
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OpenAIChatStreamResponse:
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$ref: '../../inference/chat.yaml#/ChatCompletionStreamResponse'
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51
docs/openapi/schemas/integrations/openai/common.yaml
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51
docs/openapi/schemas/integrations/openai/common.yaml
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# OpenAI Integration Common Types
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OpenAIError:
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type: object
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properties:
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error:
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type: object
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properties:
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message:
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type: string
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type:
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type: string
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param:
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type: string
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nullable: true
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code:
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type: string
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nullable: true
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# OpenAI uses the same model format but without provider prefix
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OpenAIModel:
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type: object
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properties:
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id:
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type: string
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description: Model identifier
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object:
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type: string
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default: model
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owned_by:
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type: string
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created:
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type: integer
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format: int64
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active:
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type: boolean
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description: GROQ-specific field
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context_window:
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type: integer
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description: GROQ-specific field
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OpenAIListModelsResponse:
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type: object
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properties:
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object:
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type: string
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default: list
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data:
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type: array
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items:
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$ref: '#/OpenAIModel'
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36
docs/openapi/schemas/integrations/openai/embeddings.yaml
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36
docs/openapi/schemas/integrations/openai/embeddings.yaml
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# OpenAI Integration Embeddings Schemas
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OpenAIEmbeddingRequest:
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type: object
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required:
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- model
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- input
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properties:
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model:
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type: string
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description: Model identifier
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example: text-embedding-3-small
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input:
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oneOf:
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- type: string
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||||
- type: array
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||||
items:
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type: string
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description: Input text to embed
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encoding_format:
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type: string
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enum: [float, base64]
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dimensions:
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type: integer
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description: Number of dimensions for the embedding
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user:
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type: string
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||||
# Bifrost-specific
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fallbacks:
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type: array
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||||
items:
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type: string
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# Response reuses inference schema
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OpenAIEmbeddingResponse:
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$ref: '../../inference/embeddings.yaml#/EmbeddingResponse'
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95
docs/openapi/schemas/integrations/openai/files.yaml
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95
docs/openapi/schemas/integrations/openai/files.yaml
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# OpenAI Integration Files API Schemas
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# Reuses inference files schemas since OpenAI integration uses Bifrost format
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OpenAIFileUploadRequest:
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type: object
|
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required:
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- file
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- purpose
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properties:
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file:
|
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type: string
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format: binary
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description: File to upload
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purpose:
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type: string
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enum: [assistants, assistants_output, batch, batch_output, fine-tune, fine-tune-results, vision, user_data, evals]
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description: Purpose of the file
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provider:
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type: string
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description: Provider for file storage
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storage_config:
|
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$ref: '../../inference/files.yaml#/FileStorageConfig'
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OpenAIFileUploadResponse:
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$ref: '../../inference/files.yaml#/FileUploadResponse'
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OpenAIFileListRequest:
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type: object
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properties:
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purpose:
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type: string
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description: Filter by purpose
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limit:
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||||
type: integer
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||||
description: Maximum files to return
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||||
after:
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||||
type: string
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||||
description: Cursor for pagination
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||||
order:
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||||
type: string
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||||
enum: [asc, desc]
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||||
provider:
|
||||
type: string
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description: Filter by provider
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||||
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OpenAIFileListResponse:
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$ref: '../../inference/files.yaml#/FileListResponse'
|
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|
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OpenAIFileRetrieveRequest:
|
||||
type: object
|
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required:
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- file_id
|
||||
properties:
|
||||
file_id:
|
||||
type: string
|
||||
description: File ID to retrieve
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||||
provider:
|
||||
type: string
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||||
description: Provider for the file
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||||
storage_config:
|
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$ref: '../../inference/files.yaml#/FileStorageConfig'
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|
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OpenAIFileRetrieveResponse:
|
||||
$ref: '../../inference/files.yaml#/FileRetrieveResponse'
|
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OpenAIFileDeleteRequest:
|
||||
type: object
|
||||
required:
|
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- file_id
|
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properties:
|
||||
file_id:
|
||||
type: string
|
||||
description: File ID to delete
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||||
provider:
|
||||
type: string
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description: Provider for the file
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||||
storage_config:
|
||||
$ref: '../../inference/files.yaml#/FileStorageConfig'
|
||||
|
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OpenAIFileDeleteResponse:
|
||||
$ref: '../../inference/files.yaml#/FileDeleteResponse'
|
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|
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OpenAIFileContentRequest:
|
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type: object
|
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required:
|
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- file_id
|
||||
properties:
|
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file_id:
|
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type: string
|
||||
description: File ID to get content for
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||||
provider:
|
||||
type: string
|
||||
description: Provider for the file
|
||||
storage_config:
|
||||
$ref: '../../inference/files.yaml#/FileStorageConfig'
|
||||
133
docs/openapi/schemas/integrations/openai/images.yaml
Normal file
133
docs/openapi/schemas/integrations/openai/images.yaml
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@@ -0,0 +1,133 @@
|
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# OpenAI Integration - Image Generation Schemas
|
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|
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OpenAIImageGenerationRequest:
|
||||
type: object
|
||||
required:
|
||||
- model
|
||||
- prompt
|
||||
properties:
|
||||
model:
|
||||
type: string
|
||||
description: Model identifier
|
||||
prompt:
|
||||
type: string
|
||||
description: Text prompt to generate image
|
||||
n:
|
||||
type: integer
|
||||
minimum: 1
|
||||
maximum: 10
|
||||
default: 1
|
||||
description: Number of images to generate
|
||||
size:
|
||||
type: string
|
||||
enum:
|
||||
- "256x256"
|
||||
- "512x512"
|
||||
- "1024x1024"
|
||||
- "1792x1024"
|
||||
- "1024x1792"
|
||||
- "1536x1024"
|
||||
- "1024x1536"
|
||||
- "auto"
|
||||
description: Size of the generated image
|
||||
quality:
|
||||
type: string
|
||||
enum:
|
||||
- "standard"
|
||||
- "hd"
|
||||
description: Quality of the generated image
|
||||
style:
|
||||
type: string
|
||||
enum:
|
||||
- "natural"
|
||||
- "vivid"
|
||||
description: Style of the generated image
|
||||
response_format:
|
||||
type: string
|
||||
enum:
|
||||
- "url"
|
||||
- "b64_json"
|
||||
default: "url"
|
||||
description: Format of the response. This parameter is not supported for streaming requests.
|
||||
user:
|
||||
type: string
|
||||
description: User identifier for tracking
|
||||
stream:
|
||||
type: boolean
|
||||
default: false
|
||||
description: |
|
||||
Whether to stream the response. When true, images are sent as base64 chunks via SSE.
|
||||
fallbacks:
|
||||
type: array
|
||||
items:
|
||||
type: string
|
||||
description: Fallback models to try if primary model fails
|
||||
|
||||
OpenAIImageGenerationResponse:
|
||||
type: object
|
||||
properties:
|
||||
created:
|
||||
type: integer
|
||||
format: int64
|
||||
description: Unix timestamp when the image was created
|
||||
data:
|
||||
type: array
|
||||
items:
|
||||
$ref: '../../../schemas/inference/images.yaml#/ImageData'
|
||||
description: Array of generated images
|
||||
background:
|
||||
type: string
|
||||
description: Background type used
|
||||
output_format:
|
||||
type: string
|
||||
description: Output format used
|
||||
quality:
|
||||
type: string
|
||||
description: Quality setting used
|
||||
size:
|
||||
type: string
|
||||
description: Size setting used
|
||||
usage:
|
||||
$ref: '../../../schemas/inference/images.yaml#/ImageUsage'
|
||||
|
||||
OpenAIImageStreamResponse:
|
||||
type: object
|
||||
description: |
|
||||
Streaming response chunk for image generation (OpenAI format).
|
||||
Sent via Server-Sent Events (SSE) when stream=true.
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
enum:
|
||||
- "image_generation.partial_image"
|
||||
- "image_generation.completed"
|
||||
- "error"
|
||||
description: Type of stream event
|
||||
b64_json:
|
||||
type: string
|
||||
description: Base64-encoded chunk of image data
|
||||
partial_image_index:
|
||||
type: integer
|
||||
description: Index of the partial image chunk
|
||||
sequence_number:
|
||||
type: integer
|
||||
description: Ordering index for stream chunks
|
||||
created_at:
|
||||
type: integer
|
||||
format: int64
|
||||
description: Timestamp when chunk was created
|
||||
size:
|
||||
type: string
|
||||
description: Size of the generated image
|
||||
quality:
|
||||
type: string
|
||||
description: Quality setting used
|
||||
background:
|
||||
type: string
|
||||
description: Background type used
|
||||
output_format:
|
||||
type: string
|
||||
description: Output format used
|
||||
usage:
|
||||
$ref: '../../../schemas/inference/images.yaml#/ImageUsage'
|
||||
description: Token usage (usually in final chunk)
|
||||
108
docs/openapi/schemas/integrations/openai/responses.yaml
Normal file
108
docs/openapi/schemas/integrations/openai/responses.yaml
Normal file
@@ -0,0 +1,108 @@
|
||||
# OpenAI Integration Responses API Schemas
|
||||
|
||||
OpenAIResponsesRequest:
|
||||
type: object
|
||||
required:
|
||||
- model
|
||||
- input
|
||||
properties:
|
||||
model:
|
||||
type: string
|
||||
description: Model identifier
|
||||
example: gpt-4
|
||||
input:
|
||||
$ref: '#/OpenAIResponsesInput'
|
||||
stream:
|
||||
type: boolean
|
||||
instructions:
|
||||
type: string
|
||||
description: System instructions for the model
|
||||
max_output_tokens:
|
||||
type: integer
|
||||
metadata:
|
||||
type: object
|
||||
additionalProperties: true
|
||||
parallel_tool_calls:
|
||||
type: boolean
|
||||
previous_response_id:
|
||||
type: string
|
||||
reasoning:
|
||||
$ref: '#/OpenAIResponsesReasoning'
|
||||
store:
|
||||
type: boolean
|
||||
temperature:
|
||||
type: number
|
||||
minimum: 0
|
||||
maximum: 2
|
||||
text:
|
||||
$ref: '#/OpenAIResponsesTextConfig'
|
||||
tool_choice:
|
||||
$ref: '../../inference/responses.yaml#/ResponsesToolChoice'
|
||||
tools:
|
||||
type: array
|
||||
items:
|
||||
$ref: '../../inference/responses.yaml#/ResponsesTool'
|
||||
top_p:
|
||||
type: number
|
||||
truncation:
|
||||
type: string
|
||||
enum: [auto, disabled]
|
||||
user:
|
||||
type: string
|
||||
# Bifrost-specific
|
||||
fallbacks:
|
||||
type: array
|
||||
items:
|
||||
type: string
|
||||
|
||||
OpenAIResponsesInput:
|
||||
oneOf:
|
||||
- type: string
|
||||
- type: array
|
||||
items:
|
||||
$ref: '../../inference/responses.yaml#/ResponsesMessage'
|
||||
description: Input - can be a string or array of messages
|
||||
|
||||
OpenAIResponsesReasoning:
|
||||
type: object
|
||||
properties:
|
||||
effort:
|
||||
type: string
|
||||
enum: [none, minimal, low, medium, high, xhigh]
|
||||
generate_summary:
|
||||
type: string
|
||||
enum: [auto, concise, detailed]
|
||||
summary:
|
||||
type: string
|
||||
enum: [auto, concise, detailed]
|
||||
max_tokens:
|
||||
type: integer
|
||||
|
||||
OpenAIResponsesTextConfig:
|
||||
type: object
|
||||
properties:
|
||||
format:
|
||||
$ref: '#/OpenAIResponsesTextFormat'
|
||||
|
||||
OpenAIResponsesTextFormat:
|
||||
type: object
|
||||
properties:
|
||||
type:
|
||||
type: string
|
||||
enum: [text, json_object, json_schema]
|
||||
json_schema:
|
||||
type: object
|
||||
properties:
|
||||
name:
|
||||
type: string
|
||||
schema:
|
||||
type: object
|
||||
strict:
|
||||
type: boolean
|
||||
|
||||
# Response reuses inference schema
|
||||
OpenAIResponsesResponse:
|
||||
$ref: '../../inference/responses.yaml#/ResponsesResponse'
|
||||
|
||||
OpenAIResponsesStreamResponse:
|
||||
$ref: '../../inference/responses.yaml#/ResponsesStreamResponse'
|
||||
74
docs/openapi/schemas/integrations/openai/text.yaml
Normal file
74
docs/openapi/schemas/integrations/openai/text.yaml
Normal file
@@ -0,0 +1,74 @@
|
||||
# OpenAI Integration Text Completions Schemas (Legacy Completions API)
|
||||
|
||||
OpenAITextCompletionRequest:
|
||||
type: object
|
||||
required:
|
||||
- model
|
||||
- prompt
|
||||
properties:
|
||||
model:
|
||||
type: string
|
||||
description: Model identifier
|
||||
example: gpt-3.5-turbo-instruct
|
||||
prompt:
|
||||
oneOf:
|
||||
- type: string
|
||||
- type: array
|
||||
items:
|
||||
type: string
|
||||
description: The prompt(s) to generate completions for
|
||||
stream:
|
||||
type: boolean
|
||||
description: Whether to stream the response
|
||||
max_tokens:
|
||||
type: integer
|
||||
temperature:
|
||||
type: number
|
||||
minimum: 0
|
||||
maximum: 2
|
||||
top_p:
|
||||
type: number
|
||||
frequency_penalty:
|
||||
type: number
|
||||
minimum: -2.0
|
||||
maximum: 2.0
|
||||
presence_penalty:
|
||||
type: number
|
||||
minimum: -2.0
|
||||
maximum: 2.0
|
||||
logit_bias:
|
||||
type: object
|
||||
additionalProperties:
|
||||
type: number
|
||||
logprobs:
|
||||
type: integer
|
||||
n:
|
||||
type: integer
|
||||
stop:
|
||||
oneOf:
|
||||
- type: string
|
||||
- type: array
|
||||
items:
|
||||
type: string
|
||||
suffix:
|
||||
type: string
|
||||
echo:
|
||||
type: boolean
|
||||
best_of:
|
||||
type: integer
|
||||
user:
|
||||
type: string
|
||||
seed:
|
||||
type: integer
|
||||
# Bifrost-specific
|
||||
fallbacks:
|
||||
type: array
|
||||
items:
|
||||
type: string
|
||||
|
||||
# Response reuses inference schema
|
||||
OpenAITextCompletionResponse:
|
||||
$ref: '../../inference/text.yaml#/TextCompletionResponse'
|
||||
|
||||
OpenAITextCompletionStreamResponse:
|
||||
$ref: '../../inference/text.yaml#/TextCompletionStreamResponse'
|
||||
Reference in New Issue
Block a user