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chore: 🐝 Update SDK - Generate (spec change merged) 0.11.7 (#402)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
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@@ -20687,11 +20687,28 @@ components:
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options:
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$ref: '#/components/schemas/ProviderOptions'
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type: object
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response_format:
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description: >-
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Output format. "json" (default) returns { text, usage }. "verbose_json" additionally returns task, language, duration, and segment-level timestamps; only supported by OpenAI-compatible providers.
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enum:
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- json
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- verbose_json
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example: json
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type: string
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x-speakeasy-unknown-values: allow
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temperature:
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description: Sampling temperature for transcription
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example: 0
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format: double
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type: number
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timestamp_granularities:
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description: >-
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Timestamp detail levels to include when response_format is "verbose_json". "segment" returns segment-level timestamps; "word" additionally returns word-level timestamps in the words array. Ignored unless response_format is "verbose_json".
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example:
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- segment
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items:
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$ref: '#/components/schemas/STTTimestampGranularity'
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type: array
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required:
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- model
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- input_audio
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@@ -20707,6 +20724,24 @@ components:
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seconds: 9.2
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total_tokens: 113
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properties:
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duration:
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description: Duration of the input audio in seconds, present when response_format is verbose_json
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example: 9.2
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format: double
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type: number
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language:
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description: Detected or forced language, present when response_format is verbose_json
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example: english
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type: string
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segments:
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description: Timestamped transcript segments, present when response_format is verbose_json
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items:
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$ref: '#/components/schemas/STTSegment'
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type: array
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task:
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description: The task performed, present when response_format is verbose_json
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example: transcribe
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type: string
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text:
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description: The transcribed text
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example: >-
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@@ -20714,9 +20749,88 @@ components:
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type: string
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usage:
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$ref: '#/components/schemas/STTUsage'
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words:
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description: Timestamped words, present when the provider returns word-level timestamps
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items:
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$ref: '#/components/schemas/STTWord'
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type: array
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required:
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- text
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type: object
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STTSegment:
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description: A timestamped transcript segment, returned when response_format is verbose_json
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example:
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avg_logprob: -0.28
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compression_ratio: 1.13
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end: 3.2
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id: 0
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no_speech_prob: 0.01
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seek: 0
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start: 0
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temperature: 0
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text: Hello there.
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tokens:
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- 50364
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- 2425
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- 456
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properties:
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avg_logprob:
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description: Average log probability of the segment
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format: double
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type: number
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compression_ratio:
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description: Compression ratio of the segment
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format: double
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type: number
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end:
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description: Segment end time in seconds
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example: 3.2
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format: double
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type: number
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id:
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description: Segment index within the transcript
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example: 0
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type: integer
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no_speech_prob:
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description: Probability the segment contains no speech
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format: double
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type: number
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seek:
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description: Seek offset of the segment
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example: 0
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type: integer
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start:
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description: Segment start time in seconds
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example: 0
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format: double
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type: number
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temperature:
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description: Temperature used for the segment
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format: double
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type: number
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text:
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description: Transcribed text of the segment
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example: Hello there.
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type: string
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tokens:
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description: Token IDs of the segment
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items:
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type: integer
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type: array
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required:
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- id
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- start
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- end
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- text
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type: object
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STTTimestampGranularity:
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description: A timestamp detail level for verbose_json transcription responses.
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enum:
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- word
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- segment
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example: word
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type: string
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x-speakeasy-unknown-values: allow
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STTUsage:
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description: Aggregated usage statistics for the request
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example:
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@@ -20749,6 +20863,32 @@ components:
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example: 113
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type: integer
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type: object
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STTWord:
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description: A timestamped word, returned when the provider includes word-level timestamps
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example:
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end: 0.4
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start: 0
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word: Hello
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properties:
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end:
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description: Word end time in seconds
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example: 0.4
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format: double
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type: number
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start:
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description: Word start time in seconds
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example: 0
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format: double
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type: number
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word:
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description: The transcribed word
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example: Hello
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type: string
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required:
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- word
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- start
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- end
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type: object
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SubagentNestedTool:
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additionalProperties:
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nullable: true
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@@ -23747,13 +23887,26 @@ paths:
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description: The model to use for transcription.
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type: string
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response_format:
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description: The response format. Only "json" is supported.
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description: >-
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The response format. "json" (default) returns { text, usage }; "verbose_json" additionally returns task, language, duration, and segment-level timestamps (OpenAI-compatible providers only).
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enum:
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- json
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- verbose_json
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type: string
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x-speakeasy-unknown-values: allow
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temperature:
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description: The sampling temperature.
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type: number
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timestamp_granularities[]:
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description: >-
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Timestamp detail levels to include when response_format is "verbose_json". "word" additionally returns word-level timestamps in the words array.
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items:
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enum:
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- word
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- segment
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type: string
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x-speakeasy-unknown-values: allow
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type: array
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required:
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- file
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- model
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@@ -25507,6 +25660,13 @@ paths:
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reserved permaslug `other` and is always returned last within its date, so callers
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can compute `top-50 traffic / total daily traffic` without a second request.
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Optional filters slice the dataset. `period` (`day`/`week`/`month`) sets the time
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grain. `modality` and `context_bucket` narrow the exact dataset by output/input
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modality (or tool-calling activity) and request context length. `category` and
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`language_type` instead read a sampled, upsampled dataset whose `total_tokens` are
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weekly-grain estimates — they cannot be combined with each other or with the exact
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filters, and reject `period=day` with a 400.
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Authenticate with any valid OpenRouter API key (same key used for inference).
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Rate-limited to 30 requests/minute per key and 500 requests/day per account.
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@@ -25541,6 +25701,93 @@ paths:
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example: '2026-05-11'
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pattern: ^\d{4}-\d{2}-\d{2}$
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type: string
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- description: >-
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Time grain of each row. `day` (default) returns the per-UTC-day series; `week` buckets by ISO week start; `month` buckets by month start. With `category` or `language_type` only `week` (default) and `month` are available — `day` is rejected with a 400 because those datasets are aggregated weekly. For those sampled datasets `period=month` buckets each week by its week-start month, so totals are approximate at month boundaries.
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in: query
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name: period
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required: false
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schema:
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description: >-
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Time grain of each row. `day` (default) returns the per-UTC-day series; `week` buckets by ISO week start; `month` buckets by month start. With `category` or `language_type` only `week` (default) and `month` are available — `day` is rejected with a 400 because those datasets are aggregated weekly. For those sampled datasets `period=month` buckets each week by its week-start month, so totals are approximate at month boundaries.
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enum:
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- day
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- week
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- month
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example: day
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type: string
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x-speakeasy-unknown-values: allow
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- description: >-
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Restrict to models for a modality surface: `text` / `image_output` match output modality, `image` / `audio` match input modality, and `tool_calling` keeps only rows that recorded at least one tool call. Exact dataset — cannot be combined with `category` or `language_type`.
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in: query
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name: modality
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required: false
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schema:
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description: >-
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Restrict to models for a modality surface: `text` / `image_output` match output modality, `image` / `audio` match input modality, and `tool_calling` keeps only rows that recorded at least one tool call. Exact dataset — cannot be combined with `category` or `language_type`.
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enum:
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- text
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- image
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- image_output
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- audio
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- tool_calling
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example: text
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type: string
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x-speakeasy-unknown-values: allow
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- description: >-
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Restrict to requests whose context length falls in this bucket (`1K`, `10K`, `100K`, `1M`, or `10M`). Exact dataset — cannot be combined with `category` or `language_type`.
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in: query
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name: context_bucket
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required: false
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schema:
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description: >-
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Restrict to requests whose context length falls in this bucket (`1K`, `10K`, `100K`, `1M`, or `10M`). Exact dataset — cannot be combined with `category` or `language_type`.
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enum:
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- 1K
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- 10K
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- 100K
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- 1M
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- 10M
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example: 100K
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type: string
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x-speakeasy-unknown-values: allow
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- description: >-
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Restrict to a use-case category (e.g. `programming`, `roleplay`). Sourced from a sampled, upsampled dataset, so `total_tokens` is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past `end_date`). Cannot be combined with `modality`, `context_bucket`, or `language_type`.
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in: query
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name: category
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required: false
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schema:
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description: >-
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Restrict to a use-case category (e.g. `programming`, `roleplay`). Sourced from a sampled, upsampled dataset, so `total_tokens` is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past `end_date`). Cannot be combined with `modality`, `context_bucket`, or `language_type`.
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enum:
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- programming
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- roleplay
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- marketing
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- marketing/seo
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- technology
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- science
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- translation
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- legal
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- finance
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- health
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- trivia
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- academia
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example: programming
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type: string
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x-speakeasy-unknown-values: allow
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- description: >-
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Restrict to natural-language or programming-language tagged activity. Sourced from a sampled, upsampled dataset, so `total_tokens` is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past `end_date`). Cannot be combined with `modality`, `context_bucket`, or `category`.
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in: query
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name: language_type
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required: false
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schema:
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description: >-
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Restrict to natural-language or programming-language tagged activity. Sourced from a sampled, upsampled dataset, so `total_tokens` is an estimate and is aggregated weekly (the trailing weekly bucket may include traffic past `end_date`). Cannot be combined with `modality`, `context_bucket`, or `category`.
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enum:
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- natural
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- programming
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example: natural
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type: string
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x-speakeasy-unknown-values: allow
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responses:
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'200':
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content:
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