Get real-time weather updates and forecasts through an AI agent connected to live weather data from OpenMeteo. Ask about current conditions, upcoming forecasts, or check weather anywhere in the world.
Use the channels below to try the Weather Agent live. Chat with it in your browser, call it by phone, or send an SMS.
On your phone? Tap to call and ask the weather agent about current conditions in your city, whether rain is coming this weekend, or the forecast for your next trip.
Text the agent for a quick weather check. Ask about temperature, wind, humidity, or get a multi-day forecast for any location worldwide.
Follow the quickstart guide to see how this agent connects to live OpenMeteo weather data and responds to natural language questions.
Watch how to build a weather agent from scratch in minutes using the Syllable no-code builder.
The Weather Agent connects to the Open-Meteo forecast API to retrieve live conditions and multi-day forecasts for any location worldwide. Ask about temperature, humidity, wind speed, precipitation probability, UV index, or visibility - the agent fetches current data and responds in plain language across voice, SMS, and chat.
Behind the scenes, the agent uses two platform tools: one that queries the Open-Meteo API with coordinates, date ranges, and timezone, and a second that searches a built-in data source of general meteorology knowledge. This combination lets the agent answer both specific forecast questions ("What's the weather in Denver this weekend?") and general weather topics ("What causes lake-effect snow?").
The Weather Agent demonstrates how the Syllable Agentic Platform connects AI agents to external APIs and knowledge bases through declarative configuration - no custom backend code required.
Most visitors assume the Weather Agent only calls a forecast API. It actually has two distinct content layers working together - a pattern called Retrieval-Augmented Generation.
The agent has a curated data source of 40 weather facts organized by category: atmosphere layers, storm systems, wind belts, El Nino and La Nina cycles, instruments, historical events, and myths. When you ask "what causes lake-effect snow?" the agent searches this knowledge base through a dedicated tool. It retrieves a specific, verified answer rather than hallucinating one.
The weather tool accepts latitude, longitude, date range, and timezone. It fetches 12 distinct hourly data points from the Open-Meteo API: temperature, humidity, precipitation, rain, showers, snowfall, precipitation probability, cloud cover, wind speed, wind direction, visibility, and UV index. The agent translates these raw numbers into conversational language.
The agent's prompt explicitly scopes it to weather topics only. If you ask about sports scores or stock prices, the agent redirects the conversation back to weather. Prompt-level scoping keeps agents focused without requiring backend filtering logic.
The same patterns behind this agent - API tools, data sources, and declarative prompt configuration - apply to any domain where real-time data drives the conversation.
Connect to weather APIs and monitor wind speed, lightning proximity, and precipitation in real time. When conditions cross safety thresholds, the agent calls the site foreman and recommends actions like stopping crane operations above 25 mph wind.
Combine weather forecasts with soil moisture data to recommend planting windows, irrigation timing, and harvest dates. The agent checks the 7-day forecast for frost risk, rainfall, and temperature ranges before advising.
Outdoor event planners describe their venue, date, and setup. The agent pulls multi-day forecasts and flags risks: rain probability above 40%, wind that would affect tent structures, UV index warnings for attendees.
The agent calls the Open-Meteo forecast API in real time using coordinates derived from the location you provide. It retrieves hourly data including temperature, humidity, precipitation, cloud cover, wind speed and direction, visibility, and UV index.
Yes. The documentation walks through every step: creating the prompt, configuring the API tool, adding a knowledge data source, and assembling the agent. The full build takes minutes using the Syllable Console.
This agent runs on voice, SMS, and chat simultaneously. The same prompt, tools, and configuration power all three channels - there is no separate setup per channel.
The agent is scoped to weather topics only. If you ask about an unrelated subject, it redirects the conversation back to weather information. This demonstrates how prompt guardrails keep agents focused on their intended domain.
The API tool fetches 12 hourly metrics: temperature, humidity, precipitation amount, rain, showers, snowfall, precipitation probability, cloud cover, wind speed, wind direction, visibility, and UV index. The agent combines these into a natural-language response rather than returning raw data.
No. General weather knowledge comes from a curated data source of 40 verified facts that the agent searches through a dedicated tool. Forecast data comes from the Open-Meteo API in real time. The agent generates conversational responses but grounds them in these two verified sources.