Get context response

Receives the next response from the model according to the message history

Parameters

Function GetContextResponse(Val URL, Val Model, Val Messages, Val AdditionalParameters = "", Val AdditionalHeaders = "") Export

Parameter	CLI option	Type	Required	Description
URL	--url	String	✔	Ollama server URL
Model	--model	String	✔	Models name
Messages	--msgs	Array of Structure	✔	Messages log. See GetContextMessageStructure
AdditionalParameters	--options	Structure Of KeyAndValue	✖	Additional parameters. See GetRequestParametersStructure
AdditionalHeaders	--headers	Map Of KeyAndValue	✖	Additional request headers, if necessary

Returns

Map Of KeyAndValue - Processing result

Advanced call ?

Parameter	Description
proxy	InternetProxy or a structure with fields Protocol, Host, Port, User, Password, UseOSAuthentication
timeout	Request execution timeout
adv_response	Formats the response as a complete HTTP structure with fields code, body, and headers
retries	Number of HTTP request send attempts on 5** status codes or internal client errors
dontwait	Creates a background job and returns its data (for 1C and OneScript only)

tip

Method at API documentation: Generate a chat completion

1C:Enterprise/OneScript code example

    URL   = "https://hut.openintegrations.dev/ollama";
    Token = "12We34..."; // Authorization - not part API Ollama

    AdditionalHeaders = New Map;
    AdditionalHeaders.Insert("Authorization", StrTemplate("Bearer %1", Token));

    Model = "tinyllama";

    MessagesArray = New Array;

    Question1 = OPI_Ollama.GetContextMessageStructure("user", "What is 1C:Enterprise?");
    Question2 = OPI_Ollama.GetContextMessageStructure("user", "When the first version was released?"); // Question without specifics

    // Adding the first question to the context
    MessagesArray.Add(Question1);

    Response1 = OPI_Ollama.GetContextResponse(URL, Model, MessagesArray, , AdditionalHeaders);

    MessagesArray.Add(Response1["message"]); // Add response to first question in context
    MessagesArray.Add(Question2); // Add second question in context

    Response2 = OPI_Ollama.GetContextResponse(URL, Model, MessagesArray, , AdditionalHeaders);

    MessagesArray.Add(Response2["message"]);

    // ...

Bash

    # JSON data can also be passed as a path to a .json file
    
    oint ollama GetContextResponse \
      --url "https://hut.openintegrations.dev/ollama" \
      --model "tinyllama" \
      --msgs "[{'role':'user','content':'Hello!'}]" \
      --options "{'options':{'seed':'555','temperature':'10'}}" \
      --headers "{'Authorization':'***'}"

CMD/Bat

    :: JSON data can also be passed as a path to a .json file
    
    oint ollama GetContextResponse ^
      --url "https://hut.openintegrations.dev/ollama" ^
      --model "tinyllama" ^
      --msgs "[{'role':'user','content':'Hello!'}]" ^
      --options "{'options':{'seed':'555','temperature':'10'}}" ^
      --headers "{'Authorization':'***'}"

Result

{
 "model": "tinyllama",
 "created_at": "2026-07-19T17:08:32.3894884Z",
 "message": {
  "role": "assistant",
  "content": "1C:Enterprise has been continuously enhanced and released since its original launch in the mid-2000s. The most recent version of the software, known as 1C:Enterprise 15, was released in 2017. At this time, it includes numerous improvements and updates, including new features, enhancements to existing ones, and bug fixes.\n\nRegarding the exact release date, the official release dates of 1C:Enterprise software are as follows:\n\n- 1C:3D - Version 4.6 (April 2008)\n- 1C:3D - Version 5.2 (September 2009)\n- 1C:3D - Version 5.4 (March 2011)\n- 1C:3D - Version 6.0 (June 2012)\n- 1C:3D - Version 6.1 (November 2013)\n- 1C:3D - Version 6.2 (January 2014)\n- 1C:3D - Version 7.0 (October 2015)\n- 1C:3D - Version 8.0 (February 2016)\n- 1C:3D - Version 8.1 (July 2016)\n- 1C:3D - Version 9.0 (August 2017)\n\nThe latest version of 1C:Enterprise is 15, which was released in 2017."
 },
 "done": true,
 "done_reason": "stop",
 "total_duration": 12637744000,
 "load_duration": 111482200,
 "prompt_eval_count": 319,
 "prompt_eval_duration": 805372000,
 "eval_count": 367,
 "eval_duration": 11696134000
}