> ## Documentation Index > Fetch the complete documentation index at: https://docs.zerobot.ai/llms.txt > Use this file to discover all available pages before exploring further. # Modify assistant > Modifies an assistant. ## OpenAPI ````yaml PATCH /v1/assistants/{assistant_id} openapi: 3.0.0 info: title: ZeroBot API version: 1.0.0 description: API reference for ZeroBot servers: - url: https://api.zerobot.ai security: [] paths: /v1/assistants/{assistant_id}: patch: summary: Modify an assistant description: Modifies an assistant. requestBody: content: application/json: schema: type: object properties: model: type: string description: >- ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them. name: type: string maxLength: 256 description: >- The name of the assistant. The maximum length is 256 characters. description: type: string maxLength: 512 description: >- The description of the assistant. The maximum length is 512 characters. instructions: type: string maxLength: 256000 description: >- The system instructions that the assistant uses. The maximum length is 256,000 characters. tools: type: array description: >- A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`. items: anyOf: - type: object required: - type properties: type: type: string enum: - code_interpreter description: 'The type of tool being defined: code_interpreter' - type: object required: - type properties: type: type: string enum: - file_search description: 'The type of tool being defined: file_search' - type: object required: - type - function properties: type: type: string enum: - function description: 'The type of tool being defined: function' function: type: object description: The function properties for the tool. default: [] maxItems: 128 tool_resources: type: object description: >- A set of resources that are used by the assistant's tools. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. properties: code_interpreter: type: object properties: file_ids: type: array description: >- A list of file IDs made available to the code_interpreter tool. There can be a maximum of 20 files associated with the tool. items: type: string default: [] maxItems: 20 file_search: type: object properties: vector_store_ids: type: array description: >- The vector store attached to this assistant. There can be a maximum of 1 vector store attached to the assistant. items: type: string maxItems: 1 vector_stores: type: array description: >- A helper to create a vector store with file_ids and attach it to this assistant. There can be a maximum of 1 vector store attached to the assistant. items: type: object properties: file_ids: type: array description: >- A list of file IDs to add to the vector store. There can be a maximum of 10000 files in a vector store. items: type: string maxItems: 10000 metadata: type: object description: >- Set of 16 key-value pairs that can be attached to a vector store. This can be useful for storing additional information about the vector store in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. additionalProperties: type: string maxLength: 512 maxProperties: 16 maxItems: 1 metadata: type: object description: >- Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long. additionalProperties: type: string maxLength: 512 maxProperties: 16 temperature: type: number description: >- 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. default: 1 minimum: 0 maximum: 2 top_p: type: number description: >- 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. default: 1 response_format: anyOf: - type: string default: auto - type: object description: >- 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. description: >- Specifies the format that the model must output. Compatible with GPT-4 Turbo and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106. responses: '200': description: Successful response content: application/json: schema: type: object description: The modified assistant object. ````