import app from "../../ollama.app.mjs";
import utils from "../../common/utils.mjs";
export default {
key: "ollama-generate-chat-completion",
name: "Generate Chat Completion",
description: "Generates the next message in a chat with a provided model. [See the documentation](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion).",
version: "0.0.1",
type: "action",
props: {
app,
model: {
propDefinition: [
app,
"model",
],
},
messages: {
type: "string[]",
label: "Messages",
description: "The messages of the chat, this can be used to keep a chat memory. Each row should be set as a JSON format string. Eg. `{\"role\": \"user\", \"content\": \"Hello\"}`. The message object has the following fields:\n- `role`: the role of the message, either `system`, `user`, `assistant`, or `tool`.\n- `content`: The content of the message.\n- `images` (optional): a list of images to include in the message (for multimodal models such as `llava`).\n- `tool_calls`(optional): a list of tools the model wants to use.",
},
tools: {
type: "string[]",
label: "Tools",
description: "A list of tools the model can use. Each row should be set as a JSON format string.",
optional: true,
},
options: {
propDefinition: [
app,
"options",
],
},
stream: {
propDefinition: [
app,
"stream",
],
},
keepAlive: {
propDefinition: [
app,
"keepAlive",
],
},
},
methods: {
generateChatCompletion(args = {}) {
return this.app.post({
path: "/chat",
...args,
});
},
},
async run({ $ }) {
const {
generateChatCompletion,
model,
messages,
tools,
options,
stream,
keepAlive,
} = this;
const response = await generateChatCompletion({
$,
data: {
model,
messages: utils.parseArray(messages),
tools: utils.parseArray(tools),
options: utils.parseOptions(options),
stream,
keep_alive: keepAlive,
},
});
$.export("$summary", "Successfully generated chat completion.");
return response;
},
};
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