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‎openapi.yaml

Lines changed: 138 additions & 44 deletions
Original file line numberDiff line numberDiff line change
@@ -2888,7 +2888,10 @@ paths:
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"instructions": "You are a helpful assistant designed to make me better at coding!",
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"tools": [],
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"file_ids": [],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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},
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{
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"id": "asst_abc456",
@@ -2900,7 +2903,10 @@ paths:
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"instructions": "You are a helpful assistant designed to make me better at coding!",
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"tools": [],
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"file_ids": [],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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},
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{
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"id": "asst_abc789",
@@ -2912,7 +2918,10 @@ paths:
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"instructions": null,
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"tools": [],
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"file_ids": [],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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}
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],
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"first_id": "asst_abc123",
@@ -3001,7 +3010,10 @@ paths:
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}
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],
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"file_ids": [],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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}
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- title: Files
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request:
@@ -3064,7 +3076,10 @@ paths:
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"file_ids": [
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"file-abc123"
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],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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}
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/assistants/{assistant_id}:
@@ -3238,7 +3253,10 @@ paths:
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"file-abc123",
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"file-abc456"
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],
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"metadata": {}
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"metadata": {},
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"top_p": 1.0,
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"temperature": 1.0,
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"response_format": "auto"
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}
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delete:
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operationId: deleteAssistant
@@ -4501,7 +4519,8 @@ paths:
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"completion_tokens": 456,
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"total_tokens": 579
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},
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
@@ -4542,7 +4561,8 @@ paths:
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"completion_tokens": 456,
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"total_tokens": 579
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},
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
@@ -4651,7 +4671,8 @@ paths:
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],
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"metadata": {},
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"usage": null,
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
@@ -4996,7 +5017,8 @@ paths:
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"completion_tokens": 456,
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"total_tokens": 579
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},
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
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"completion_tokens": 456,
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"total_tokens": 579
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},
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
@@ -5266,7 +5289,8 @@ paths:
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"file_ids": [],
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"metadata": {},
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"usage": null,
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
@@ -5474,7 +5498,8 @@ paths:
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"file_ids": [],
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"metadata": {},
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"usage": null,
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"temperature": 1
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"temperature": 1.0,
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"top_p": 1.0,
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}
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/threads/{thread_id}/runs/{run_id}/steps:
@@ -7775,7 +7800,7 @@ components:
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description: |
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The ID of an uploaded file that contains training data.
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See [upload file](/docs/api-reference/files/upload) for how to upload a file.
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See [upload file](/docs/api-reference/files/create) for how to upload a file.
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Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`.
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@@ -8770,6 +8795,33 @@ components:
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- total_tokens
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nullable: true
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AssistantsApiResponseFormatOption:
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description: |
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Specifies the format that the model must output. Compatible with [GPT-4 Turbo](/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
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Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.
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**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
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oneOf:
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- type: string
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description: >
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`auto` is the default value
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enum: [none, auto]
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- $ref: "#/components/schemas/AssistantsApiResponseFormat"
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x-oaiExpandable: true
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AssistantsApiResponseFormat:
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type: object
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description: |
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An object describing the expected output of the model. If `json_object` only `function` type `tools` are allowed to be passed to the Run. If `text` the model can return text or any value needed.
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properties:
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type:
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type: string
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enum: ["text", "json_object"]
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example: "json_object"
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default: "text"
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description: Must be one of `text` or `json_object`.
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AssistantObject:
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type: object
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title: Assistant
@@ -8918,6 +8970,29 @@ components:
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type: object
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x-oaiTypeLabel: map
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nullable: true
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temperature:
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description: &run_temperature_description |
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What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
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type: number
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minimum: 0
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maximum: 2
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default: 1
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example: 1
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nullable: true
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top_p:
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type: number
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minimum: 0
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maximum: 1
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default: 1
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example: 1
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nullable: true
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description: &run_top_p_description |
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An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
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We generally recommend altering this or temperature but not both.
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response_format:
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$ref: "#/components/schemas/AssistantsApiResponseFormatOption"
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nullable: true
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required:
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- model
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@@ -8968,6 +9043,29 @@ components:
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type: object
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x-oaiTypeLabel: map
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nullable: true
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temperature:
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description: &run_temperature_description |
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What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
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type: number
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minimum: 0
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maximum: 2
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default: 1
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example: 1
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nullable: true
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top_p:
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type: number
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minimum: 0
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maximum: 1
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default: 1
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example: 1
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nullable: true
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description: &run_top_p_description |
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An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
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We generally recommend altering this or temperature but not both.
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response_format:
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$ref: "#/components/schemas/AssistantsApiResponseFormatOption"
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nullable: true
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DeleteAssistantResponse:
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type: object
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required:
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- type
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AssistantsApiResponseFormatOption:
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description: |
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Specifies the format that the model must output. Compatible with [GPT-4 Turbo](/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
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Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.
9109-
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**Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
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oneOf:
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- type: string
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description: >
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`auto` is the default value
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enum: [none, auto]
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- $ref: "#/components/schemas/AssistantsApiResponseFormat"
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x-oaiExpandable: true
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AssistantsApiResponseFormat:
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type: object
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description: |
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An object describing the expected output of the model. If `json_object` only `function` type `tools` are allowed to be passed to the Run. If `text` the model can return text or any value needed.
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properties:
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type:
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type: string
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enum: ["text", "json_object"]
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example: "json_object"
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default: "text"
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description: Must be one of `text` or `json_object`.
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RunObject:
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type: object
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title: A run on a thread
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description: The sampling temperature used for this run. If not set, defaults to 1.
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type: number
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nullable: true
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top_p:
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description: The nucleus sampling value used for this run. If not set, defaults to 1.
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type: number
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nullable: true
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max_prompt_tokens:
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type: integer
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nullable: true
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"completion_tokens": 456,
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"total_tokens": 579
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},
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"temperature": 1,
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"temperature": 1.0,
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"top_p": 1.0,
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"max_prompt_tokens": 1000,
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"max_completion_tokens": 1000,
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"truncation_strategy": {
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default: 1
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example: 1
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nullable: true
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description: &run_temperature_description |
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What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
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description: *run_temperature_description
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top_p:
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type: number
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minimum: 0
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maximum: 1
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default: 1
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example: 1
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nullable: true
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description: &run_top_p_description |
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An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
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We generally recommend altering this or temperature but not both.
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stream:
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type: boolean
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nullable: true
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example: 1
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nullable: true
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description: *run_temperature_description
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top_p:
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type: number
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minimum: 0
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maximum: 1
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default: 1
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example: 1
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nullable: true
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description: *run_top_p_description
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stream:
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type: boolean
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nullable: true

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