import anthropic from "../../anthropic.app.mjs";
import constants from "../common/constants.mjs";
export default {
name: "Chat",
version: "0.0.6",
key: "anthropic-chat",
description: "The Chat API. [See the documentation](https://docs.anthropic.com/claude/reference/messages_post)",
type: "action",
props: {
anthropic,
model: {
label: "Model",
description: "Select the model to use for your query. Defaults to the `claude-3-opus-20240229` model, which Anthropic describes as the \"Most powerful model for highly complex tasks\".",
type: "string",
options: constants.MESSAGE_MODELS,
default: constants.MESSAGE_MODELS[0],
},
userMessage: {
label: "User Message",
type: "string",
description: "The user messages provide instructions to the assistant",
},
messages: {
label: "Prior Message History",
type: "string[]",
description: "All relevant information must be supplied via the conversation. You can provide an array of messages from prior conversations here always beginning with the human message.",
optional: true,
},
temperature: {
label: "Temperature",
description: "**Optional**. Amount of randomness injected into the response. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and temp closer to 1 for creative and generative tasks.",
type: "string",
optional: true,
},
topK: {
label: "Top K",
description: "Only sample from the top K options for each subsequent token. Used to remove `long tail` low probability responses.",
type: "integer",
optional: true,
},
topP: {
label: "Top P",
description: "Does nucleus sampling, in which we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified.",
type: "string",
optional: true,
},
maxTokensToSample: {
label: "Maximum Tokens To Sample",
description: "A maximum number of tokens to generate before stopping.",
type: "integer",
},
},
async run({ $ }) {
const messages = [];
const priorMessages = typeof this.messages === "string"
? JSON.parse(this.messages)
: this.messages;
if (priorMessages?.length) {
let isUserMessage = true;
for (const message of priorMessages) {
messages.push({
role: isUserMessage
? "user"
: "assistant",
content: message,
});
isUserMessage = !isUserMessage;
}
}
messages.push({
role: "user",
content: this.userMessage,
});
const response = await this.anthropic.createMessage({
$,
data: {
messages,
model: this.model,
max_tokens: this.maxTokensToSample,
temperature: this.temperature
? parseFloat(this.temperature)
: undefined,
top_p: this.topP
? parseFloat(this.topP)
: undefined,
top_k: this.topK,
},
});
if (response) {
$.export("$summary", `Successfully sent message with ID ${response.id}`);
}
const originalMessages = messages.map(({ content }) => content);
return {
original_messages: originalMessages,
original_messages_with_assistant_response: originalMessages.concat(response.content[0].text),
...response,
};
},
};
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