ollama - Pinkfish - AI Agents & Workflows for Getting Work Done

Server path: /ollama | Type: Application | PCID required: Yes

Tools

Tool	Description
`ollama_chat`	Generate a chat message
`ollama_copy`	Copy a model
`ollama_create`	Create a model
`ollama_delete`	Delete a model
`ollama_embed`	Generate embeddings
`ollama_generate`	Generate a response
`ollama_list`	List models
`ollama_ps`	List running models
`ollama_pull`	Pull a model
`ollama_push`	Push a model
`ollama_show`	Show model details
`ollama_version`	Get version

ollama_chat

Generate a chat message Parameters:

Parameter	Type	Required	Default	Description
`format`	object	No	—	Format to return a response in. Can be `json` or a JSON schema
`keep_alive`	object	No	—	Model keep-alive duration (for example `5m` or `0` to unload immediately)
`logprobs`	boolean	No	—	Whether to return log probabilities of the output tokens
`messages`	object[]	Yes	—	Chat history as an array of message objects (each with a role and content)
`model`	string	Yes	—	Model name
`options`	object	No	—	Runtime options that control text generation
`stream`	boolean	No	—	The stream value
`think`	object	No	—	When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string (“high”, “medium”, “low”) for supported models.
`tools`	object[]	No	—	Optional list of function tools the model may call during the chat
`top_logprobs`	integer	No	—	Number of most likely tokens to return at each token position when logprobs are enabled

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "format": {
      "description": "Format to return a response in. Can be `json` or a JSON schema"
    },
    "keep_alive": {
      "description": "Model keep-alive duration (for example `5m` or `0` to unload immediately)"
    },
    "logprobs": {
      "type": "boolean",
      "description": "Whether to return log probabilities of the output tokens"
    },
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "system",
              "user",
              "assistant",
              "tool"
            ],
            "description": "Author of the message."
          },
          "content": {
            "type": "string",
            "description": "Message text content"
          },
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Optional list of inline images for multimodal models"
          },
          "tool_calls": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "function": {
                  "type": "object"
                }
              }
            },
            "description": "Tool call requests produced by the model"
          }
        },
        "required": [
          "role",
          "content"
        ]
      },
      "description": "Chat history as an array of message objects (each with a role and content)"
    },
    "model": {
      "type": "string",
      "description": "Model name"
    },
    "options": {
      "type": "object",
      "description": "Runtime options that control text generation",
      "properties": {
        "seed": {
          "type": "integer",
          "description": "Random seed used for reproducible outputs"
        },
        "temperature": {
          "type": "number",
          "description": "Controls randomness in generation (higher = more random)"
        },
        "top_k": {
          "type": "integer",
          "description": "Limits next token selection to the K most likely"
        },
        "top_p": {
          "type": "number",
          "description": "Cumulative probability threshold for nucleus sampling"
        },
        "min_p": {
          "type": "number",
          "description": "Minimum probability threshold for token selection"
        },
        "stop": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Stop sequences that will halt generation"
        },
        "num_ctx": {
          "type": "integer",
          "description": "Context length size (number of tokens)"
        },
        "num_predict": {
          "type": "integer",
          "description": "Maximum number of tokens to generate"
        }
      }
    },
    "stream": {
      "type": "boolean",
      "description": "The stream value"
    },
    "think": {
      "description": "When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string (\"high\", \"medium\", \"low\") for supported models."
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string",
            "enum": [
              "function"
            ],
            "description": "Type of tool (always `function`)"
          },
          "function": {
            "type": "object",
            "description": "The function value"
          }
        },
        "required": [
          "type",
          "function"
        ]
      },
      "description": "Optional list of function tools the model may call during the chat"
    },
    "top_logprobs": {
      "type": "integer",
      "description": "Number of most likely tokens to return at each token position when logprobs are enabled"
    }
  },
  "required": [
    "PCID",
    "messages",
    "model"
  ]
}

ollama_copy

Copy a model Parameters:

Parameter	Type	Required	Default	Description
`destination`	string	Yes	—	New model name to create
`source`	string	Yes	—	Existing model name to copy from

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "destination": {
      "type": "string",
      "description": "New model name to create"
    },
    "source": {
      "type": "string",
      "description": "Existing model name to copy from"
    }
  },
  "required": [
    "PCID",
    "destination",
    "source"
  ]
}

ollama_create

Create a model Parameters:

Parameter	Type	Required	Default	Description
`from`	string	No	—	Existing model to create from
`license`	string[]	No	—	License string or list of licenses for the model
`messages`	object[]	No	—	Message history to use for the model
`model`	string	Yes	—	Name for the model to create
`parameters`	object	No	—	Key-value parameters for the model
`quantize`	string	No	—	Quantization level to apply (e.g. `q4_K_M`, `q8_0`)
`stream`	boolean	No	—	Stream status updates
`system`	string	No	—	System prompt to embed in the model
`template`	string	No	—	Prompt template to use for the model

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "from": {
      "type": "string",
      "description": "Existing model to create from"
    },
    "license": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "License string or list of licenses for the model"
    },
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "system",
              "user",
              "assistant",
              "tool"
            ],
            "description": "Author of the message."
          },
          "content": {
            "type": "string",
            "description": "Message text content"
          },
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Optional list of inline images for multimodal models"
          },
          "tool_calls": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "function": {
                  "type": "object"
                }
              }
            },
            "description": "Tool call requests produced by the model"
          }
        },
        "required": [
          "role",
          "content"
        ]
      },
      "description": "Message history to use for the model"
    },
    "model": {
      "type": "string",
      "description": "Name for the model to create"
    },
    "parameters": {
      "type": "object",
      "description": "Key-value parameters for the model"
    },
    "quantize": {
      "type": "string",
      "description": "Quantization level to apply (e.g. `q4_K_M`, `q8_0`)"
    },
    "stream": {
      "type": "boolean",
      "description": "Stream status updates"
    },
    "system": {
      "type": "string",
      "description": "System prompt to embed in the model"
    },
    "template": {
      "type": "string",
      "description": "Prompt template to use for the model"
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

ollama_delete

Delete a model Parameters:

Parameter	Type	Required	Default	Description
`model`	string	Yes	—	Model name to delete

Show inputSchema

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

ollama_embed

Generate embeddings Parameters:

Parameter	Type	Required	Default	Description
`dimensions`	integer	No	—	Number of dimensions to generate embeddings for
`input`	string[]	Yes	—	Text or array of texts to generate embeddings for
`keep_alive`	string	No	—	Model keep-alive duration
`model`	string	Yes	—	Model name
`options`	object	No	—	Runtime options that control text generation
`truncate`	boolean	No	—	If true, truncate inputs that exceed the context window. If false, returns an error.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "dimensions": {
      "type": "integer",
      "description": "Number of dimensions to generate embeddings for"
    },
    "input": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Text or array of texts to generate embeddings for"
    },
    "keep_alive": {
      "type": "string",
      "description": "Model keep-alive duration"
    },
    "model": {
      "type": "string",
      "description": "Model name"
    },
    "options": {
      "type": "object",
      "description": "Runtime options that control text generation",
      "properties": {
        "seed": {
          "type": "integer",
          "description": "Random seed used for reproducible outputs"
        },
        "temperature": {
          "type": "number",
          "description": "Controls randomness in generation (higher = more random)"
        },
        "top_k": {
          "type": "integer",
          "description": "Limits next token selection to the K most likely"
        },
        "top_p": {
          "type": "number",
          "description": "Cumulative probability threshold for nucleus sampling"
        },
        "min_p": {
          "type": "number",
          "description": "Minimum probability threshold for token selection"
        },
        "stop": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Stop sequences that will halt generation"
        },
        "num_ctx": {
          "type": "integer",
          "description": "Context length size (number of tokens)"
        },
        "num_predict": {
          "type": "integer",
          "description": "Maximum number of tokens to generate"
        }
      }
    },
    "truncate": {
      "type": "boolean",
      "description": "If true, truncate inputs that exceed the context window. If false, returns an error."
    }
  },
  "required": [
    "PCID",
    "input",
    "model"
  ]
}

ollama_generate

Generate a response Parameters:

Parameter	Type	Required	Default	Description
`format`	object	No	—	Structured output format for the model to generate a response from. Supports either the string `"json"` or a JSON schema object.
`images`	string[]	No	—	The images value
`keep_alive`	object	No	—	Model keep-alive duration (for example `5m` or `0` to unload immediately)
`logprobs`	boolean	No	—	Whether to return log probabilities of the output tokens
`model`	string	Yes	—	Model name
`options`	object	No	—	Runtime options that control text generation
`prompt`	string	No	—	Text for the model to generate a response from
`raw`	boolean	No	—	When true, returns the raw response from the model without any prompt templating
`stream`	boolean	No	—	When true, returns a stream of partial responses
`suffix`	string	No	—	Used for fill-in-the-middle models, text that appears after the user prompt and before the model response
`system`	string	No	—	System prompt for the model to generate a response from
`think`	object	No	—	When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string (“high”, “medium”, “low”) for supported models.
`top_logprobs`	integer	No	—	Number of most likely tokens to return at each token position when logprobs are enabled

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "format": {
      "description": "Structured output format for the model to generate a response from. Supports either the string `\"json\"` or a JSON schema object."
    },
    "images": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "The images value"
    },
    "keep_alive": {
      "description": "Model keep-alive duration (for example `5m` or `0` to unload immediately)"
    },
    "logprobs": {
      "type": "boolean",
      "description": "Whether to return log probabilities of the output tokens"
    },
    "model": {
      "type": "string",
      "description": "Model name"
    },
    "options": {
      "type": "object",
      "description": "Runtime options that control text generation",
      "properties": {
        "seed": {
          "type": "integer",
          "description": "Random seed used for reproducible outputs"
        },
        "temperature": {
          "type": "number",
          "description": "Controls randomness in generation (higher = more random)"
        },
        "top_k": {
          "type": "integer",
          "description": "Limits next token selection to the K most likely"
        },
        "top_p": {
          "type": "number",
          "description": "Cumulative probability threshold for nucleus sampling"
        },
        "min_p": {
          "type": "number",
          "description": "Minimum probability threshold for token selection"
        },
        "stop": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Stop sequences that will halt generation"
        },
        "num_ctx": {
          "type": "integer",
          "description": "Context length size (number of tokens)"
        },
        "num_predict": {
          "type": "integer",
          "description": "Maximum number of tokens to generate"
        }
      }
    },
    "prompt": {
      "type": "string",
      "description": "Text for the model to generate a response from"
    },
    "raw": {
      "type": "boolean",
      "description": "When true, returns the raw response from the model without any prompt templating"
    },
    "stream": {
      "type": "boolean",
      "description": "When true, returns a stream of partial responses"
    },
    "suffix": {
      "type": "string",
      "description": "Used for fill-in-the-middle models, text that appears after the user prompt and before the model response"
    },
    "system": {
      "type": "string",
      "description": "System prompt for the model to generate a response from"
    },
    "think": {
      "description": "When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string (\"high\", \"medium\", \"low\") for supported models."
    },
    "top_logprobs": {
      "type": "integer",
      "description": "Number of most likely tokens to return at each token position when logprobs are enabled"
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

ollama_list

List models

Show inputSchema

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

ollama_ps

List running models

Show inputSchema

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

ollama_pull

Pull a model Parameters:

Parameter	Type	Required	Default	Description
`insecure`	boolean	No	—	Allow downloading over insecure connections
`model`	string	Yes	—	Name of the model to download
`stream`	boolean	No	—	Stream progress updates

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "insecure": {
      "type": "boolean",
      "description": "Allow downloading over insecure connections"
    },
    "model": {
      "type": "string",
      "description": "Name of the model to download"
    },
    "stream": {
      "type": "boolean",
      "description": "Stream progress updates"
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

ollama_push

Push a model Parameters:

Parameter	Type	Required	Default	Description
`insecure`	boolean	No	—	Allow publishing over insecure connections
`model`	string	Yes	—	Name of the model to publish
`stream`	boolean	No	—	Stream progress updates

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "insecure": {
      "type": "boolean",
      "description": "Allow publishing over insecure connections"
    },
    "model": {
      "type": "string",
      "description": "Name of the model to publish"
    },
    "stream": {
      "type": "boolean",
      "description": "Stream progress updates"
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

ollama_show

Show model details Parameters:

Parameter	Type	Required	Default	Description
`model`	string	Yes	—	Model name to show
`verbose`	boolean	No	—	If true, includes large verbose fields in the response.

Show inputSchema

{
  "type": "object",
  "properties": {
    "PCID": {
      "type": "string",
      "description": "Pink Connect ID for the authenticated connection"
    },
    "model": {
      "type": "string",
      "description": "Model name to show"
    },
    "verbose": {
      "type": "boolean",
      "description": "If true, includes large verbose fields in the response."
    }
  },
  "required": [
    "PCID",
    "model"
  ]
}

ollama_version

Get version

Show inputSchema

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

​Tools

​ollama_chat

​ollama_copy

​ollama_create

​ollama_delete

​ollama_embed

​ollama_generate

​ollama_list

​ollama_ps

​ollama_pull

​ollama_push

​ollama_show

​ollama_version

Tools

ollama_chat

ollama_copy

ollama_create

ollama_delete

ollama_embed

ollama_generate

ollama_list

ollama_ps

ollama_pull

ollama_push

ollama_show

ollama_version