Create a prompt

from syllable_sdk import PromptCreateRequest, PromptLlmConfig, PromptLlmProvider, SyllableSDK

sdk = SyllableSDK(
api_key_header='your_key_here'
)

prompt = sdk.prompts.create(request=PromptCreateRequest(
# The name of the prompt is used to reference it elsewhere in the system, so
# you should pick something that's easily identifiable.
name='Weather Prompt3',
# The description is displayed for extra context on the prompt list screen in
# the Syllable Console.
description='Prompt for a weather agent',
# The type of the prompt. Can just be hardcoded to `prompt_v1` for now.
type='prompt_v1',
# The actual text of the prompt that will be sent to the LLM at the beginning
# of the conversation.
context='''You are a weather agent. You can tell the user information about the current weather in a given city, and also answer general weather-related questions.

When asked about any other topic, don't answer and instead remind the caller that you are a weather agent. Keep the tone professional, friendly, and clear. You are chatting with a user, so always respond naturally and conversationally. Do not use nonverbal cues, describe system actions, or add any other information.''',
# Names of the tools to which the prompt has access. We'll fill these in later.
tools=[],
# For a list of all supported LLMs, see "Console prompts docs" below.
llm_config=PromptLlmConfig(
provider=PromptLlmProvider.OPENAI,
model='gpt-4o',
version='2024-08-06',
api_version=None
),
# Whether to give the prompt access to default tools. You can leave this
# false for now.
include_default_tools=False
))

print(prompt)

import { SyllableSDK } from 'syllable-sdk';
import { PromptLlmProvider } from 'syllable-sdk/models/components/index.js';

const syllableSDK = new SyllableSDK({
apiKeyHeader: 'yourkeyhere',
});

const prompt = await syllableSDK.prompts.create({
// The name of the prompt is used to reference it elsewhere in the system, so
// you should pick something that's easily identifiable.
name: 'Weather Prompt',
// The description is displayed for extra context on the prompt list screen in
// the Syllable Console.
description: 'Prompt for a weather agent',
// The type of the prompt. Can just be hardcoded to `prompt_v1` for now.
type: 'prompt_v1',
// The actual text of the prompt that will be sent to the LLM at the beginning
// of the conversation.
context: `You are a weather agent. You can tell the user information about the current weather in a given city, and also answer general weather-related questions.

When asked about any other topic, don't answer and instead remind the caller that you are a weather agent. Keep the tone professional, friendly, and clear. You are chatting with a user, so always respond naturally and conversationally. Do not use nonverbal cues, describe system actions, or add any other information.`,
// Names of the tools to which the prompt has access. We'll fill these in
// later.
tools: [],
// For a list of all supported LLMs, see "Console prompts docs" below.
llmConfig: {
provider: PromptLlmProvider.OPENAI,
model: 'gpt-4o',
version: '2024-08-06',
apiVersion: null
},
// Whether to give the prompt access to default tools. You can leave this
// false for this tutorial.
includeDefaultTools: false
});
console.log(prompt);