Langdock fim API
The fim API from Langdock — 1 operation(s) for fim.
The fim API from Langdock — 1 operation(s) for fim.
openapi: 3.0.0
info:
title: Langdock Agent fim API
version: 3.0.0
servers:
- url: https://api.langdock.com
description: Production
security:
- bearerAuth: []
tags:
- name: fim
paths:
/mistral/{region}/v1/fim/completions:
post:
summary: Fim Completion
description: FIM completion.
parameters:
- name: region
in: path
required: true
description: The region of the API to use.
schema:
type: string
enum:
- eu
operationId: fim_completion_v1_fim_completions_post
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/FIMCompletionRequest'
example:
model: codestral-2501
prompt: 'function removeSpecialCharactersWithRegex(str: string) {'
max_tokens: 64
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/FIMCompletionResponse'
example:
data: asd
id: 245c52bc936f53ba90327800c73d1c3e
object: chat.completion
model: codestral
usage:
prompt_tokens: 16
completion_tokens: 102
total_tokens: 118
created: 1732902806
choices:
- index: 0
message:
content: "\n // Use a regular expression to match any non-alphanumeric character and replace it with an empty string\n return str.replace(/[^a-zA-Z0-9]/g, '');\n}\n\n// Test the function\nconst inputString = \"Hello, World! 123\";\nconst outputString = removeSpecialCharactersWithRegex(inputString);\nconsole.log(outputString); // Output: \"HelloWorld123\""
prefix: false
role: assistant
finish_reason: stop
text/event-stream:
schema:
$ref: '#/components/schemas/CompletionEvent'
tags:
- fim
components:
schemas:
FIMCompletionRequest:
properties:
model:
anyOf:
- type: string
title: Model
default: codestral-2501
description: "ID of the model to use. Only compatible for now with:\n - `codestral-2501`"
temperature:
anyOf:
- type: number
maximum: 1.5
minimum: 0
title: Temperature
description: What sampling temperature to use, we recommend between 0.0 and 0.7. Higher values like 0.7 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. The default value varies depending on the model you are targeting. Call the `/models` endpoint to retrieve the appropriate value.
top_p:
type: number
maximum: 1
minimum: 0
title: Top P
default: 1
description: 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. We generally recommend altering this or `temperature` but not both.
max_tokens:
anyOf:
- type: integer
minimum: 0
title: Max Tokens
description: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length.
stream:
type: boolean
title: Stream
default: false
description: 'Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON.'
stop:
anyOf:
- type: string
- items:
type: string
type: array
title: Stop
description: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array
random_seed:
anyOf:
- type: integer
minimum: 0
title: Random Seed
description: The seed to use for random sampling. If set, different calls will generate deterministic results.
prompt:
type: string
title: Prompt
description: The text/code to complete.
suffix:
anyOf:
- type: string
title: Suffix
default: ''
description: Optional text/code that adds more context for the model. When given a `prompt` and a `suffix` the model will fill what is between them. When `suffix` is not provided, the model will simply execute completion starting with `prompt`.
min_tokens:
anyOf:
- type: integer
minimum: 0
title: Min Tokens
description: The minimum number of tokens to generate in the completion.
additionalProperties: false
type: object
required:
- prompt
- model
title: FIMCompletionRequest
ChatCompletionResponse:
allOf:
- $ref: '#/components/schemas/ChatCompletionResponseBase'
- type: object
title: ChatCompletionResponse
properties:
choices:
type: array
items:
$ref: '#/components/schemas/ChatCompletionChoice'
required:
- id
- object
- data
- model
- usage
ResponseBase:
type: object
title: ResponseBase
properties:
id:
type: string
example: cmpl-e5cc70bb28c444948073e77776eb30ef
object:
type: string
example: chat.completion
model:
type: string
example: mistral-small-latest
usage:
$ref: '#/components/schemas/UsageInfo'
TextChunk:
properties:
type:
type: string
enum:
- text
title: Type
default: text
text:
type: string
title: Text
additionalProperties: false
type: object
required:
- text
title: TextChunk
ChatCompletionResponseBase:
allOf:
- $ref: '#/components/schemas/ResponseBase'
- type: object
title: ChatCompletionResponseBase
properties:
created:
type: integer
example: 1702256327
AssistantMessage:
properties:
content:
title: Content
anyOf:
- type: string
- items:
$ref: '#/components/schemas/ContentChunk'
type: array
tool_calls:
anyOf:
- items:
$ref: '#/components/schemas/ToolCall'
type: array
title: Tool Calls
prefix:
type: boolean
title: Prefix
default: false
role:
type: string
default: assistant
title: Role
enum:
- assistant
additionalProperties: false
type: object
title: AgentMessage
CompletionResponseStreamChoice:
title: CompletionResponseStreamChoice
type: object
required:
- index
- delta
- finish_reason
properties:
index:
type: integer
delta:
$ref: '#/components/schemas/DeltaMessage'
finish_reason:
type: string
enum:
- stop
- length
- error
- tool_calls
DeltaMessage:
title: DeltaMessage
type: object
properties:
role:
anyOf:
- type: string
content:
anyOf:
- type: string
- items:
$ref: '#/components/schemas/ContentChunk'
type: array
tool_calls:
anyOf:
- type: array
items:
$ref: '#/components/schemas/ToolCall'
ChatCompletionChoice:
title: ChatCompletionChoice
type: object
required:
- index
- finish_reason
- message
properties:
index:
type: integer
example: 0
message:
$ref: '#/components/schemas/AssistantMessage'
finish_reason:
type: string
enum:
- stop
- length
- model_length
- error
- tool_calls
example: stop
ImageURLChunk:
properties:
type:
type: string
enum:
- image_url
title: Type
default: image_url
image_url:
anyOf:
- $ref: '#/components/schemas/ImageURL'
- type: string
title: Image Url
additionalProperties: false
type: object
required:
- image_url
title: ImageURLChunk
description: '{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0'
FIMCompletionResponse:
allOf:
- $ref: '#/components/schemas/ChatCompletionResponse'
- type: object
properties:
model:
type: string
example: codestral-latest
FunctionCall:
properties:
name:
type: string
title: Name
arguments:
title: Arguments
anyOf:
- type: object
additionalProperties: true
- type: string
additionalProperties: false
type: object
required:
- name
- arguments
title: FunctionCall
CompletionEvent:
title: CompletionEvent
type: object
required:
- data
properties:
data:
$ref: '#/components/schemas/CompletionChunk'
ImageURL:
properties:
url:
type: string
title: Url
detail:
anyOf:
- type: string
title: Detail
additionalProperties: false
type: object
required:
- url
title: ImageURL
ContentChunk:
oneOf:
- $ref: '#/components/schemas/TextChunk'
- $ref: '#/components/schemas/ImageURLChunk'
discriminator:
propertyName: type
mapping:
image_url: '#/components/schemas/ImageURLChunk'
text: '#/components/schemas/TextChunk'
title: ContentChunk
ToolCall:
properties:
id:
type: string
title: Id
default: 'null'
type:
$ref: '#/components/schemas/ToolTypes'
default: function
function:
$ref: '#/components/schemas/FunctionCall'
additionalProperties: false
type: object
required:
- function
title: ToolCall
ToolTypes:
type: string
enum:
- function
title: ToolTypes
CompletionChunk:
title: CompletionChunk
type: object
required:
- id
- model
- choices
properties:
id:
type: string
object:
type: string
created:
type: integer
model:
type: string
usage:
$ref: '#/components/schemas/UsageInfo'
choices:
type: array
items:
$ref: '#/components/schemas/CompletionResponseStreamChoice'
UsageInfo:
title: UsageInfo
type: object
properties:
prompt_tokens:
type: integer
example: 16
completion_tokens:
type: integer
example: 34
total_tokens:
type: integer
example: 50
required:
- prompt_tokens
- completion_tokens
- total_tokens
securitySchemes:
bearerAuth:
type: http
scheme: bearer
bearerFormat: API Key
description: API key as Bearer token. Format "Bearer YOUR_API_KEY"