mistral-core - Pinkfish - AI Agents & Workflows for Getting Work Done

Server path: /mistral-core | Type: Application | PCID required: Yes

Tools

Tool	Description
`mistral_core_audio_api_v1_transcriptions_post`	Create Transcription
`mistral_core_chat_classifications_v1_chat_classifications_post`	Chat Classifications
`mistral_core_chat_completion_v1_chat_completions_post`	Chat Completion
`mistral_core_chat_moderations_v1_chat_moderations_post`	Chat Moderations
`mistral_core_classifications_v1_classifications_post`	Classifications
`mistral_core_create_voice_v1_audio_voices_post`	Create a new voice
`mistral_core_delete_model_v1_models_model_id_delete`	Delete Model
`mistral_core_delete_voice_v1_audio_voices_voice_id_delete`	Delete a custom voice
`mistral_core_embeddings_v1_embeddings_post`	Embeddings
`mistral_core_files_api_routes_delete_file`	Delete File
`mistral_core_files_api_routes_download_file`	Download File
`mistral_core_files_api_routes_get_signed_url`	Get Signed Url
`mistral_core_files_api_routes_list_files`	List Files
`mistral_core_files_api_routes_retrieve_file`	Retrieve File
`mistral_core_files_api_routes_upload_file`	Upload File
`mistral_core_fim_completion_v1_fim_completions_post`	Fim Completion
`mistral_core_get_voice_sample_audio_v1_audio_voices_voice_id_sample_get`	Get voice sample audio
`mistral_core_get_voice_v1_audio_voices_voice_id_get`	Get voice details
`mistral_core_jobs_api_routes_batch_cancel_batch_job`	Cancel Batch Job
`mistral_core_jobs_api_routes_batch_create_batch_job`	Create Batch Job
`mistral_core_jobs_api_routes_batch_get_batch_job`	Get Batch Job
`mistral_core_jobs_api_routes_batch_get_batch_jobs`	Get Batch Jobs
`mistral_core_jobs_api_routes_fine_tuning_archive_fine_tuned_model`	Archive Fine Tuned Model
`mistral_core_jobs_api_routes_fine_tuning_unarchive_fine_tuned_model`	Unarchive Fine Tuned Model
`mistral_core_jobs_api_routes_fine_tuning_update_fine_tuned_model`	Update Fine Tuned Model
`mistral_core_list_models_v1_models_get`	List Models
`mistral_core_list_voices_v1_audio_voices_get`	List all voices
`mistral_core_moderations_v1_moderations_post`	Moderations
`mistral_core_ocr_v1_ocr_post`	OCR
`mistral_core_retrieve_model_v1_models_model_id_get`	Retrieve Model
`mistral_core_speech_v1_audio_speech_post`	Speech
`mistral_core_update_voice_v1_audio_voices_voice_id_patch`	Update voice metadata

mistral_core_audio_api_v1_transcriptions_post

Create Transcription Parameters:

Parameter	Type	Required	Default	Description
`context_bias`	string[]	No	—	Context Bias
`diarize`	boolean	No	—	The diarize value
`file`	string	No	—	The File object (not file name) to be uploaded. To upload a file and specify a custom file name you should format your request as such: `bash file=@path/to/your/file.jsonl;filename=custom_name.jsonl` Otherwise, you can just keep the original file name: `bash file=@path/to/your/file.jsonl`
`file_id`	string	No	—	ID of a file uploaded to /v1/files
`file_url`	string	No	—	Url of a file to be transcribed
`language`	string	No	—	Language of the audio, e.g. ‘en’. Providing the language can boost accuracy.
`model`	string	Yes	—	ID of the model to be used.
`stream`	boolean	No	—	The stream value
`temperature`	number	No	—	The temperature value
`timestamp_granularities`	string[]	No	—	Granularities of timestamps to include in the response.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "context_bias": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Context Bias"
    },
    "diarize": {
      "type": "boolean",
      "description": "The diarize value"
    },
    "file": {
      "type": "string",
      "description": "The File object (not file name) to be uploaded.  To upload a file and specify a custom file name you should format your request as such:  ```bash  file=@path/to/your/file.jsonl;filename=custom_name.jsonl  ```  Otherwise, you can just keep the original file name:  ```bash  file=@path/to/your/file.jsonl  ```"
    },
    "file_id": {
      "type": "string",
      "description": "ID of a file uploaded to /v1/files"
    },
    "file_url": {
      "type": "string",
      "description": "Url of a file to be transcribed"
    },
    "language": {
      "type": "string",
      "description": "Language of the audio, e.g. 'en'. Providing the language can boost accuracy."
    },
    "model": {
      "type": "string",
      "description": "ID of the model to be used."
    },
    "stream": {
      "type": "boolean",
      "description": "The stream value"
    },
    "temperature": {
      "type": "number",
      "description": "The temperature value"
    },
    "timestamp_granularities": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "segment",
          "word"
        ]
      },
      "description": "Granularities of timestamps to include in the response."
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

mistral_core_chat_classifications_v1_chat_classifications_post

Chat Classifications Parameters:

Parameter	Type	Required	Default	Description
`input`	object[]	Yes	—	Chat to classify
`model`	string	Yes	—	The model value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "input": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "messages": {
            "type": "array",
            "description": "The messages value"
          }
        },
        "required": [
          "messages"
        ]
      },
      "description": "Chat to classify"
    },
    "model": {
      "type": "string",
      "description": "The model value"
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

mistral_core_chat_completion_v1_chat_completions_post

Chat Completion Parameters:

Parameter	Type	Required	Default	Description
`frequency_penalty`	number	No	—	The `frequency_penalty` penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition.
`guardrails`	object[]	No	—	A list of guardrail configurations to apply to this request. Each guardrail specifies a moderation type, categories with thresholds to evaluate, and an action to take on violation.
`max_tokens`	integer	No	—	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.
`messages`	any[]	Yes	—	The prompt(s) to generate completions for, encoded as a list of dict with role and content.
`metadata`	object	No	—	The metadata value
`model`	string	Yes	—	ID of the model to use. You can use the List Available Models API to see all of your available models, or see our Model overview for model descriptions.
`n`	integer	No	—	Number of completions to return for each request, input tokens are only billed once.
`parallel_tool_calls`	boolean	No	—	Whether to enable parallel function calling during tool use, when enabled the model can call multiple tools in parallel.
`prediction`	object	No	—	Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.
`presence_penalty`	number	No	—	The `presence_penalty` determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative.
`prompt_mode`	string	No	—	Allows toggling between the reasoning mode and no system prompt. When set to `reasoning` the system prompt for reasoning models will be used. Deprecated for reasoning models - use `reasoning_effort` parameter instead.
`random_seed`	integer	No	—	The seed to use for random sampling. If set, different calls will generate deterministic results.
`reasoning_effort`	string	No	—	Controls the reasoning effort level for reasoning models. “high” enables comprehensive reasoning traces, “none” disables reasoning effort.
`response_format`	object	No	—	Specify the format that the model must output. By default it will use `{ "type": "text" }`. Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is in JSON. When using JSON mode you MUST also instruct the model to produce JSON yourself with a system or a user message. Setting to `{ "type": "json_schema" }` enables JSON schema mode, which guarantees the message the model generates is in JSON and follows the schema you provide.
`safe_prompt`	boolean	No	—	Whether to inject a safety prompt before all conversations.
`stop`	string[]	No	—	Stop generation if this token is detected. Or if one of these tokens is detected when providing an array
`stream`	boolean	No	—	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.
`temperature`	number	No	—	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.
`tool_choice`	object	No	—	Controls which (if any) tool is called by the model. `none` means the model will not call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `any` or `required` means the model must call one or more tools. Specifying a particular tool via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool.
`tools`	object[]	No	—	A list of tools the model may call. Use this to provide a list of functions the model may generate JSON inputs for.
`top_p`	number	No	—	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.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "frequency_penalty": {
      "type": "number",
      "description": "The `frequency_penalty` penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition."
    },
    "guardrails": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "block_on_error": {
            "type": "boolean",
            "description": "If true, return HTTP 403 and block request in the event of a server-side error"
          },
          "moderation_llm_v1": {
            "type": "object",
            "description": "Moderation Llm V1"
          },
          "moderation_llm_v2": {
            "type": "object",
            "description": "Moderation Llm V2"
          }
        }
      },
      "description": "A list of guardrail configurations to apply to this request. Each guardrail specifies a moderation type, categories with thresholds to evaluate, and an action to take on violation."
    },
    "max_tokens": {
      "type": "integer",
      "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."
    },
    "messages": {
      "type": "array",
      "description": "The prompt(s) to generate completions for, encoded as a list of dict with role and content."
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "model": {
      "type": "string",
      "description": "ID of the model to use. You can use the [List Available Models](/api/#tag/models/operation/list_models_v1_models_get) API to see all of your available models, or see our [Model overview](/models) for model descriptions."
    },
    "n": {
      "type": "integer",
      "description": "Number of completions to return for each request, input tokens are only billed once."
    },
    "parallel_tool_calls": {
      "type": "boolean",
      "description": "Whether to enable parallel function calling during tool use, when enabled the model can call multiple tools in parallel."
    },
    "prediction": {
      "type": "object",
      "description": "Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.",
      "properties": {
        "type": {
          "type": "string",
          "description": "The type value"
        },
        "content": {
          "type": "string",
          "description": "The content value"
        }
      }
    },
    "presence_penalty": {
      "type": "number",
      "description": "The `presence_penalty` determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative."
    },
    "prompt_mode": {
      "type": "string",
      "description": "Allows toggling between the reasoning mode and no system prompt. When set to `reasoning` the system prompt for reasoning models will be used. **Deprecated for reasoning models - use `reasoning_effort` parameter instead.**",
      "enum": [
        "reasoning"
      ]
    },
    "random_seed": {
      "type": "integer",
      "description": "The seed to use for random sampling. If set, different calls will generate deterministic results."
    },
    "reasoning_effort": {
      "type": "string",
      "description": "Controls the reasoning effort level for reasoning models. \"high\" enables comprehensive reasoning traces, \"none\" disables reasoning effort.",
      "enum": [
        "high",
        "none"
      ]
    },
    "response_format": {
      "type": "object",
      "description": "Specify the format that the model must output. By default it will use `{ \"type\": \"text\" }`. Setting to `{ \"type\": \"json_object\" }` enables JSON mode, which guarantees the message the model generates is in JSON. When using JSON mode you MUST also instruct the model to produce JSON yourself with a system or a user message. Setting to `{ \"type\": \"json_schema\" }` enables JSON schema mode, which guarantees the message the model generates is in JSON and follows the schema you provide.",
      "properties": {
        "type": {
          "type": "string",
          "description": "The type value",
          "enum": [
            "text",
            "json_object",
            "json_schema"
          ]
        },
        "json_schema": {
          "type": "object",
          "description": "Json Schema"
        }
      }
    },
    "safe_prompt": {
      "type": "boolean",
      "description": "Whether to inject a safety prompt before all conversations."
    },
    "stop": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Stop generation if this token is detected. Or if one of these tokens is detected when providing an array"
    },
    "stream": {
      "type": "boolean",
      "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."
    },
    "temperature": {
      "type": "number",
      "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."
    },
    "tool_choice": {
      "description": "Controls which (if any) tool is called by the model. `none` means the model will not call any tool and instead generates a message. `auto` means the model can pick between generating a message or calling one or more tools. `any` or `required` means the model must call one or more tools. Specifying a particular tool via `{\"type\": \"function\", \"function\": {\"name\": \"my_function\"}}` forces the model to call that tool."
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string",
            "enum": [
              "function"
            ],
            "description": "The type value"
          },
          "function": {
            "type": "object",
            "description": "The function value"
          }
        },
        "required": [
          "function"
        ]
      },
      "description": "A list of tools the model may call. Use this to provide a list of functions the model may generate JSON inputs for."
    },
    "top_p": {
      "type": "number",
      "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."
    }
  },
  "required": [
    "PCID",
    "messages",
    "model"
  ]
}

mistral_core_chat_moderations_v1_chat_moderations_post

Chat Moderations Parameters:

Parameter	Type	Required	Default	Description
`input`	object	Yes	—	Chat to classify
`model`	string	Yes	—	The model value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "input": {
      "description": "Chat to classify"
    },
    "model": {
      "type": "string",
      "description": "The model value"
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

mistral_core_classifications_v1_classifications_post

Classifications Parameters:

Parameter	Type	Required	Default	Description
`input`	string[]	Yes	—	Text to classify.
`metadata`	object	No	—	The metadata value
`model`	string	Yes	—	ID of the model to use.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "input": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Text to classify."
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "model": {
      "type": "string",
      "description": "ID of the model to use."
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

mistral_core_create_voice_v1_audio_voices_post

Create a new voice Parameters:

Parameter	Type	Required	Default	Description
`age`	integer	No	—	The age value
`color`	string	No	—	The color value
`gender`	string	No	—	The gender value
`languages`	string[]	No	—	The languages value
`name`	string	Yes	—	The name value
`retention_notice`	integer	No	—	Retention Notice
`sample_audio`	string	Yes	—	Base64-encoded audio file
`sample_filename`	string	No	—	Original filename for extension detection
`slug`	string	No	—	The slug value
`tags`	string[]	No	—	The tags value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "age": {
      "type": "integer",
      "description": "The age value"
    },
    "color": {
      "type": "string",
      "description": "The color value"
    },
    "gender": {
      "type": "string",
      "description": "The gender value"
    },
    "languages": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The languages value"
    },
    "name": {
      "type": "string",
      "description": "The name value"
    },
    "retention_notice": {
      "type": "integer",
      "description": "Retention Notice"
    },
    "sample_audio": {
      "type": "string",
      "description": "Base64-encoded audio file"
    },
    "sample_filename": {
      "type": "string",
      "description": "Original filename for extension detection"
    },
    "slug": {
      "type": "string",
      "description": "The slug value"
    },
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The tags value"
    }
  },
  "required": [
    "PCID",
    "name",
    "sample_audio"
  ]
}

mistral_core_delete_model_v1_models_model_id_delete

Delete Model Parameters:

Parameter	Type	Required	Default	Description
`model_id`	string	Yes	—	The ID of the model to delete.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model_id": {
      "type": "string",
      "description": "The ID of the model to delete."
    }
  },
  "required": [
    "PCID",
    "model_id"
  ]
}

mistral_core_delete_voice_v1_audio_voices_voice_id_delete

Delete a custom voice Parameters:

Parameter	Type	Required	Default	Description
`voice_id`	string	Yes	—	Voice Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "voice_id": {
      "type": "string",
      "description": "Voice Id"
    }
  },
  "required": [
    "PCID",
    "voice_id"
  ]
}

mistral_core_embeddings_v1_embeddings_post

Embeddings Parameters:

Parameter	Type	Required	Default	Description
`encoding_format`	string	No	—	Encoding Format
`input`	string[]	Yes	—	Text to embed.
`metadata`	object	No	—	The metadata value
`model`	string	Yes	—	ID of the model to use.
`output_dimension`	integer	No	—	The dimension of the output embeddings when feature available. If not provided, a default output dimension will be used.
`output_dtype`	string	No	—	Output Dtype

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "encoding_format": {
      "type": "string",
      "description": "Encoding Format",
      "enum": [
        "float",
        "base64"
      ]
    },
    "input": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Text to embed."
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "model": {
      "type": "string",
      "description": "ID of the model to use."
    },
    "output_dimension": {
      "type": "integer",
      "description": "The dimension of the output embeddings when feature available. If not provided, a default output dimension will be used."
    },
    "output_dtype": {
      "type": "string",
      "description": "Output Dtype",
      "enum": [
        "float",
        "int8",
        "uint8",
        "binary",
        "ubinary"
      ]
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

mistral_core_files_api_routes_delete_file

Delete File Parameters:

Parameter	Type	Required	Default	Description
`file_id`	string	Yes	—	File Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "file_id": {
      "type": "string",
      "description": "File Id"
    }
  },
  "required": [
    "PCID",
    "file_id"
  ]
}

mistral_core_files_api_routes_download_file

Download File Parameters:

Parameter	Type	Required	Default	Description
`file_id`	string	Yes	—	File Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "file_id": {
      "type": "string",
      "description": "File Id"
    }
  },
  "required": [
    "PCID",
    "file_id"
  ]
}

mistral_core_files_api_routes_get_signed_url

Get Signed Url Parameters:

Parameter	Type	Required	Default	Description
`file_id`	string	Yes	—	File Id
`expiry`	integer	No	—	Number of hours before the url becomes invalid. Defaults to 24h

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "file_id": {
      "type": "string",
      "description": "File Id"
    },
    "expiry": {
      "type": "integer",
      "description": "Number of hours before the url becomes invalid. Defaults to 24h"
    }
  },
  "required": [
    "PCID",
    "file_id"
  ]
}

mistral_core_files_api_routes_list_files

List Files Parameters:

Parameter	Type	Required	Default	Description
`page`	integer	No	—	Page number for pagination
`page_size`	integer	No	—	Number of results per page
`include_total`	boolean	No	—	Include Total
`sample_type`	string[]	No	—	Sample Type
`source`	string[]	No	—	The source value
`search`	string	No	—	The search value
`purpose`	string	No	—	The purpose value
`mimetypes`	string[]	No	—	The mimetypes value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "page": {
      "type": "integer",
      "description": "Page number for pagination"
    },
    "page_size": {
      "type": "integer",
      "description": "Number of results per page"
    },
    "include_total": {
      "type": "boolean",
      "description": "Include Total"
    },
    "sample_type": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "pretrain",
          "instruct",
          "batch_request",
          "batch_result",
          "batch_error"
        ]
      },
      "description": "Sample Type"
    },
    "source": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "upload",
          "repository",
          "mistral"
        ]
      },
      "description": "The source value"
    },
    "search": {
      "type": "string",
      "description": "The search value"
    },
    "purpose": {
      "type": "string",
      "description": "The purpose value",
      "enum": [
        "fine-tune",
        "batch",
        "ocr"
      ]
    },
    "mimetypes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The mimetypes value"
    }
  },
  "required": [
    "PCID"
  ]
}

mistral_core_files_api_routes_retrieve_file

Retrieve File Parameters:

Parameter	Type	Required	Default	Description
`file_id`	string	Yes	—	File Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "file_id": {
      "type": "string",
      "description": "File Id"
    }
  },
  "required": [
    "PCID",
    "file_id"
  ]
}

mistral_core_files_api_routes_upload_file

Upload File Parameters:

Parameter	Type	Required	Default	Description
`expiry`	integer	No	—	The expiry value
`file`	string	Yes	—	The File object (not file name) to be uploaded. To upload a file and specify a custom file name you should format your request as such: `bash file=@path/to/your/file.jsonl;filename=custom_name.jsonl` Otherwise, you can just keep the original file name: `bash file=@path/to/your/file.jsonl`
`purpose`	string	No	—	The purpose value
`visibility`	object	No	—	The visibility value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "expiry": {
      "type": "integer",
      "description": "The expiry value"
    },
    "file": {
      "type": "string",
      "description": "The File object (not file name) to be uploaded.  To upload a file and specify a custom file name you should format your request as such:  ```bash  file=@path/to/your/file.jsonl;filename=custom_name.jsonl  ```  Otherwise, you can just keep the original file name:  ```bash  file=@path/to/your/file.jsonl  ```"
    },
    "purpose": {
      "type": "string",
      "description": "The purpose value",
      "enum": [
        "fine-tune",
        "batch",
        "ocr"
      ]
    },
    "visibility": {
      "description": "The visibility value"
    }
  },
  "required": [
    "PCID",
    "file"
  ]
}

mistral_core_fim_completion_v1_fim_completions_post

Fim Completion Parameters:

Parameter	Type	Required	Default	Description
`max_tokens`	integer	No	—	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.
`metadata`	object	No	—	The metadata value
`min_tokens`	integer	No	—	The minimum number of tokens to generate in the completion.
`model`	string	Yes	—	ID of the model with FIM to use.
`prompt`	string	Yes	—	The text/code to complete.
`random_seed`	integer	No	—	The seed to use for random sampling. If set, different calls will generate deterministic results.
`stop`	string[]	No	—	Stop generation if this token is detected. Or if one of these tokens is detected when providing an array
`stream`	boolean	No	—	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.
`suffix`	string	No	—	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`.
`temperature`	number	No	—	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`	number	No	—	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.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "max_tokens": {
      "type": "integer",
      "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."
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "min_tokens": {
      "type": "integer",
      "description": "The minimum number of tokens to generate in the completion."
    },
    "model": {
      "type": "string",
      "description": "ID of the model with FIM to use."
    },
    "prompt": {
      "type": "string",
      "description": "The text/code to complete."
    },
    "random_seed": {
      "type": "integer",
      "description": "The seed to use for random sampling. If set, different calls will generate deterministic results."
    },
    "stop": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Stop generation if this token is detected. Or if one of these tokens is detected when providing an array"
    },
    "stream": {
      "type": "boolean",
      "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."
    },
    "suffix": {
      "type": "string",
      "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`."
    },
    "temperature": {
      "type": "number",
      "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",
      "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."
    }
  },
  "required": [
    "PCID",
    "model",
    "prompt"
  ]
}

mistral_core_get_voice_sample_audio_v1_audio_voices_voice_id_sample_get

Get voice sample audio Parameters:

Parameter	Type	Required	Default	Description
`voice_id`	string	Yes	—	Voice Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "voice_id": {
      "type": "string",
      "description": "Voice Id"
    }
  },
  "required": [
    "PCID",
    "voice_id"
  ]
}

mistral_core_get_voice_v1_audio_voices_voice_id_get

Get voice details Parameters:

Parameter	Type	Required	Default	Description
`voice_id`	string	Yes	—	Voice Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "voice_id": {
      "type": "string",
      "description": "Voice Id"
    }
  },
  "required": [
    "PCID",
    "voice_id"
  ]
}

mistral_core_jobs_api_routes_batch_cancel_batch_job

Cancel Batch Job Parameters:

Parameter	Type	Required	Default	Description
`job_id`	string	Yes	—	Job Id

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "job_id": {
      "type": "string",
      "description": "Job Id"
    }
  },
  "required": [
    "PCID",
    "job_id"
  ]
}

mistral_core_jobs_api_routes_batch_create_batch_job

Create Batch Job Parameters:

Parameter	Type	Required	Default	Description
`agent_id`	string	No	—	In case you want to use a specific agent from the deprecated agents api for batch inference, you can specify the agent ID here.
`endpoint`	string	Yes	—	The endpoint value
`input_files`	string[]	No	—	The list of input files to be used for batch inference, these files should be `jsonl` files, containing the input data corresponding to the bory request for the batch inference in a “body” field. An example of such file is the following: `json {"custom_id": "0", "body": {"max_tokens": 100, "messages": [{"role": "user", "content": "What is the best French cheese?"}]}} {"custom_id": "1", "body": {"max_tokens": 100, "messages": [{"role": "user", "content": "What is the best French wine?"}]}}`
`metadata`	object	No	—	The metadata of your choice to be associated with the batch inference job.
`model`	string	No	—	The model to be used for batch inference.
`requests`	object[]	No	—	The requests value
`timeout_hours`	integer	No	—	The timeout in hours for the batch inference job.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "agent_id": {
      "type": "string",
      "description": "In case you want to use a specific agent from the **deprecated** agents api for batch inference, you can specify the agent ID here."
    },
    "endpoint": {
      "type": "string",
      "description": "The endpoint value",
      "enum": [
        "/v1/chat/completions",
        "/v1/embeddings",
        "/v1/fim/completions",
        "/v1/moderations",
        "/v1/chat/moderations",
        "/v1/ocr",
        "/v1/classifications",
        "/v1/chat/classifications",
        "/v1/conversations",
        "/v1/audio/transcriptions"
      ]
    },
    "input_files": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid"
      },
      "description": "The list of input files to be used for batch inference, these files should be `jsonl` files, containing the input data corresponding to the bory request for the batch inference in a \"body\" field. An example of such file is the following: ```json {\"custom_id\": \"0\", \"body\": {\"max_tokens\": 100, \"messages\": [{\"role\": \"user\", \"content\": \"What is the best French cheese?\"}]}} {\"custom_id\": \"1\", \"body\": {\"max_tokens\": 100, \"messages\": [{\"role\": \"user\", \"content\": \"What is the best French wine?\"}]}} ```"
    },
    "metadata": {
      "type": "object",
      "description": "The metadata of your choice to be associated with the batch inference job."
    },
    "model": {
      "type": "string",
      "description": "The model to be used for batch inference."
    },
    "requests": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "custom_id": {
            "type": "string",
            "description": "Custom Id"
          },
          "body": {
            "type": "object",
            "description": "The body value"
          }
        },
        "required": [
          "body"
        ]
      },
      "description": "The requests value"
    },
    "timeout_hours": {
      "type": "integer",
      "description": "The timeout in hours for the batch inference job."
    }
  },
  "required": [
    "PCID",
    "endpoint"
  ]
}

mistral_core_jobs_api_routes_batch_get_batch_job

Get Batch Job Parameters:

Parameter	Type	Required	Default	Description
`job_id`	string	Yes	—	Job Id
`inline`	boolean	No	—	The inline value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "job_id": {
      "type": "string",
      "description": "Job Id"
    },
    "inline": {
      "type": "boolean",
      "description": "The inline value"
    }
  },
  "required": [
    "PCID",
    "job_id"
  ]
}

mistral_core_jobs_api_routes_batch_get_batch_jobs

Get Batch Jobs Parameters:

Parameter	Type	Required	Default	Description
`page`	integer	No	—	Page number for pagination
`page_size`	integer	No	—	Number of results per page
`model`	string	No	—	The model value
`agent_id`	string	No	—	Agent Id
`metadata`	object	No	—	The metadata value
`created_after`	string	No	—	Created After
`created_by_me`	boolean	No	—	Created By Me
`status`	string[]	No	—	The status value
`order_by`	string	No	—	Order By

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "page": {
      "type": "integer",
      "description": "Page number for pagination"
    },
    "page_size": {
      "type": "integer",
      "description": "Number of results per page"
    },
    "model": {
      "type": "string",
      "description": "The model value"
    },
    "agent_id": {
      "type": "string",
      "description": "Agent Id"
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "created_after": {
      "type": "string",
      "description": "Created After"
    },
    "created_by_me": {
      "type": "boolean",
      "description": "Created By Me"
    },
    "status": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "QUEUED",
          "RUNNING",
          "SUCCESS",
          "FAILED",
          "TIMEOUT_EXCEEDED",
          "CANCELLATION_REQUESTED",
          "CANCELLED"
        ]
      },
      "description": "The status value"
    },
    "order_by": {
      "type": "string",
      "description": "Order By",
      "enum": [
        "created",
        "-created"
      ]
    }
  },
  "required": [
    "PCID"
  ]
}

mistral_core_jobs_api_routes_fine_tuning_archive_fine_tuned_model

Archive Fine Tuned Model Parameters:

Parameter	Type	Required	Default	Description
`model_id`	string	Yes	—	The ID of the model to archive.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model_id": {
      "type": "string",
      "description": "The ID of the model to archive."
    }
  },
  "required": [
    "PCID",
    "model_id"
  ]
}

mistral_core_jobs_api_routes_fine_tuning_unarchive_fine_tuned_model

Unarchive Fine Tuned Model Parameters:

Parameter	Type	Required	Default	Description
`model_id`	string	Yes	—	The ID of the model to unarchive.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model_id": {
      "type": "string",
      "description": "The ID of the model to unarchive."
    }
  },
  "required": [
    "PCID",
    "model_id"
  ]
}

mistral_core_jobs_api_routes_fine_tuning_update_fine_tuned_model

Update Fine Tuned Model Parameters:

Parameter	Type	Required	Default	Description
`model_id`	string	Yes	—	The ID of the model to update.
`description`	string	No	—	The description value
`name`	string	No	—	The name value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model_id": {
      "type": "string",
      "description": "The ID of the model to update."
    },
    "description": {
      "type": "string",
      "description": "The description value"
    },
    "name": {
      "type": "string",
      "description": "The name value"
    }
  },
  "required": [
    "PCID",
    "model_id"
  ]
}

mistral_core_list_models_v1_models_get

List Models Parameters:

Parameter	Type	Required	Default	Description
`provider`	string	No	—	The provider value
`model`	string	No	—	The model value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "provider": {
      "type": "string",
      "description": "The provider value"
    },
    "model": {
      "type": "string",
      "description": "The model value"
    }
  },
  "required": [
    "PCID"
  ]
}

mistral_core_list_voices_v1_audio_voices_get

List all voices Parameters:

Parameter	Type	Required	Default	Description
`limit`	integer	No	—	Maximum number of voices to return
`offset`	integer	No	—	Offset for pagination

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "limit": {
      "type": "integer",
      "description": "Maximum number of voices to return"
    },
    "offset": {
      "type": "integer",
      "description": "Offset for pagination"
    }
  },
  "required": [
    "PCID"
  ]
}

mistral_core_moderations_v1_moderations_post

Moderations Parameters:

Parameter	Type	Required	Default	Description
`input`	string[]	Yes	—	Text to classify.
`metadata`	object	No	—	The metadata value
`model`	string	Yes	—	ID of the model to use.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "input": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Text to classify."
    },
    "metadata": {
      "type": "object",
      "description": "The metadata value"
    },
    "model": {
      "type": "string",
      "description": "ID of the model to use."
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

mistral_core_ocr_v1_ocr_post

OCR Parameters:

Parameter	Type	Required	Default	Description
`bbox_annotation_format`	object	No	—	Structured output class for extracting useful information from each extracted bounding box / image from document. Only json_schema is valid for this field
`document`	object	Yes	—	Document to run OCR on
`document_annotation_format`	object	No	—	Structured output class for extracting useful information from the entire document. Only json_schema is valid for this field
`document_annotation_prompt`	string	No	—	Optional prompt to guide the model in extracting structured output from the entire document. A document_annotation_format must be provided.
`extract_footer`	boolean	No	—	Extract Footer
`extract_header`	boolean	No	—	Extract Header
`id`	string	No	—	The id value
`image_limit`	integer	No	—	Max images to extract
`image_min_size`	integer	No	—	Minimum height and width of image to extract
`include_image_base64`	boolean	No	—	Include image URLs in response
`model`	string	Yes	—	The model value
`pages`	integer[]	No	—	Specific pages user wants to process in various formats: single number, range, or list of both. Starts from 0
`table_format`	string	No	—	Table Format

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "bbox_annotation_format": {
      "type": "object",
      "description": "Structured output class for extracting useful information from each extracted bounding box / image from document. Only json_schema is valid for this field",
      "properties": {
        "type": {
          "type": "string",
          "description": "The type value",
          "enum": [
            "text",
            "json_object",
            "json_schema"
          ]
        },
        "json_schema": {
          "type": "object",
          "description": "Json Schema"
        }
      }
    },
    "document": {
      "description": "Document to run OCR on"
    },
    "document_annotation_format": {
      "type": "object",
      "description": "Structured output class for extracting useful information from the entire document. Only json_schema is valid for this field",
      "properties": {
        "type": {
          "type": "string",
          "description": "The type value",
          "enum": [
            "text",
            "json_object",
            "json_schema"
          ]
        },
        "json_schema": {
          "type": "object",
          "description": "Json Schema"
        }
      }
    },
    "document_annotation_prompt": {
      "type": "string",
      "description": "Optional prompt to guide the model in extracting structured output from the entire document. A document_annotation_format must be provided."
    },
    "extract_footer": {
      "type": "boolean",
      "description": "Extract Footer"
    },
    "extract_header": {
      "type": "boolean",
      "description": "Extract Header"
    },
    "id": {
      "type": "string",
      "description": "The id value"
    },
    "image_limit": {
      "type": "integer",
      "description": "Max images to extract"
    },
    "image_min_size": {
      "type": "integer",
      "description": "Minimum height and width of image to extract"
    },
    "include_image_base64": {
      "type": "boolean",
      "description": "Include image URLs in response"
    },
    "model": {
      "type": "string",
      "description": "The model value"
    },
    "pages": {
      "type": "array",
      "items": {
        "type": "integer"
      },
      "description": "Specific pages user wants to process in various formats: single number, range, or list of both. Starts from 0"
    },
    "table_format": {
      "type": "string",
      "description": "Table Format",
      "enum": [
        "markdown",
        "html"
      ]
    }
  },
  "required": [
    "PCID",
    "document",
    "model"
  ]
}

mistral_core_retrieve_model_v1_models_model_id_get

Retrieve Model Parameters:

Parameter	Type	Required	Default	Description
`model_id`	string	Yes	—	The ID of the model to retrieve.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model_id": {
      "type": "string",
      "description": "The ID of the model to retrieve."
    }
  },
  "required": [
    "PCID",
    "model_id"
  ]
}

mistral_core_speech_v1_audio_speech_post

Speech Parameters:

Parameter	Type	Required	Default	Description
`input`	string	Yes	—	Text to generate speech from.
`model`	string	No	—	The model value
`ref_audio`	string	No	—	The base64-encoded audio reference for zero-shot voice cloning.
`response_format`	string	No	—	Response Format
`stream`	boolean	No	—	The stream value
`voice_id`	string	No	—	The preset or custom voice to use for generating the speech.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "input": {
      "type": "string",
      "description": "Text to generate speech from."
    },
    "model": {
      "type": "string",
      "description": "The model value"
    },
    "ref_audio": {
      "type": "string",
      "description": "The base64-encoded audio reference for zero-shot voice cloning."
    },
    "response_format": {
      "type": "string",
      "description": "Response Format",
      "enum": [
        "pcm",
        "wav",
        "mp3",
        "flac",
        "opus"
      ]
    },
    "stream": {
      "type": "boolean",
      "description": "The stream value"
    },
    "voice_id": {
      "type": "string",
      "description": "The preset or custom voice to use for generating the speech."
    }
  },
  "required": [
    "PCID",
    "input"
  ]
}

mistral_core_update_voice_v1_audio_voices_voice_id_patch

Update voice metadata Parameters:

Parameter	Type	Required	Default	Description
`voice_id`	string	Yes	—	Voice Id
`age`	integer	No	—	The age value
`gender`	string	No	—	The gender value
`languages`	string[]	No	—	The languages value
`name`	string	No	—	The name value
`tags`	string[]	No	—	The tags value

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "voice_id": {
      "type": "string",
      "description": "Voice Id"
    },
    "age": {
      "type": "integer",
      "description": "The age value"
    },
    "gender": {
      "type": "string",
      "description": "The gender value"
    },
    "languages": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The languages value"
    },
    "name": {
      "type": "string",
      "description": "The name value"
    },
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The tags value"
    }
  },
  "required": [
    "PCID",
    "voice_id"
  ]
}

​Tools

​mistral_core_audio_api_v1_transcriptions_post

​mistral_core_chat_classifications_v1_chat_classifications_post

​mistral_core_chat_completion_v1_chat_completions_post

​mistral_core_chat_moderations_v1_chat_moderations_post

​mistral_core_classifications_v1_classifications_post

​mistral_core_create_voice_v1_audio_voices_post

​mistral_core_delete_model_v1_models_model_id_delete

​mistral_core_delete_voice_v1_audio_voices_voice_id_delete

​mistral_core_embeddings_v1_embeddings_post

​mistral_core_files_api_routes_delete_file

​mistral_core_files_api_routes_download_file

​mistral_core_files_api_routes_get_signed_url

​mistral_core_files_api_routes_list_files

​mistral_core_files_api_routes_retrieve_file

​mistral_core_files_api_routes_upload_file

​mistral_core_fim_completion_v1_fim_completions_post

​mistral_core_get_voice_sample_audio_v1_audio_voices_voice_id_sample_get

​mistral_core_get_voice_v1_audio_voices_voice_id_get

​mistral_core_jobs_api_routes_batch_cancel_batch_job

​mistral_core_jobs_api_routes_batch_create_batch_job

​mistral_core_jobs_api_routes_batch_get_batch_job

​mistral_core_jobs_api_routes_batch_get_batch_jobs

​mistral_core_jobs_api_routes_fine_tuning_archive_fine_tuned_model

​mistral_core_jobs_api_routes_fine_tuning_unarchive_fine_tuned_model

​mistral_core_jobs_api_routes_fine_tuning_update_fine_tuned_model

​mistral_core_list_models_v1_models_get

​mistral_core_list_voices_v1_audio_voices_get

​mistral_core_moderations_v1_moderations_post

​mistral_core_ocr_v1_ocr_post

​mistral_core_retrieve_model_v1_models_model_id_get

​mistral_core_speech_v1_audio_speech_post

​mistral_core_update_voice_v1_audio_voices_voice_id_patch

Tools

mistral_core_audio_api_v1_transcriptions_post

mistral_core_chat_classifications_v1_chat_classifications_post

mistral_core_chat_completion_v1_chat_completions_post

mistral_core_chat_moderations_v1_chat_moderations_post

mistral_core_classifications_v1_classifications_post

mistral_core_create_voice_v1_audio_voices_post

mistral_core_delete_model_v1_models_model_id_delete

mistral_core_delete_voice_v1_audio_voices_voice_id_delete

mistral_core_embeddings_v1_embeddings_post

mistral_core_files_api_routes_delete_file

mistral_core_files_api_routes_download_file

mistral_core_files_api_routes_get_signed_url

mistral_core_files_api_routes_list_files

mistral_core_files_api_routes_retrieve_file

mistral_core_files_api_routes_upload_file

mistral_core_fim_completion_v1_fim_completions_post

mistral_core_get_voice_sample_audio_v1_audio_voices_voice_id_sample_get

mistral_core_get_voice_v1_audio_voices_voice_id_get

mistral_core_jobs_api_routes_batch_cancel_batch_job

mistral_core_jobs_api_routes_batch_create_batch_job

mistral_core_jobs_api_routes_batch_get_batch_job

mistral_core_jobs_api_routes_batch_get_batch_jobs

mistral_core_jobs_api_routes_fine_tuning_archive_fine_tuned_model

mistral_core_jobs_api_routes_fine_tuning_unarchive_fine_tuned_model

mistral_core_jobs_api_routes_fine_tuning_update_fine_tuned_model

mistral_core_list_models_v1_models_get

mistral_core_list_voices_v1_audio_voices_get

mistral_core_moderations_v1_moderations_post

mistral_core_ocr_v1_ocr_post

mistral_core_retrieve_model_v1_models_model_id_get

mistral_core_speech_v1_audio_speech_post

mistral_core_update_voice_v1_audio_voices_voice_id_patch