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Jido.AI Weather Multi-Turn Context

Local weather assistant demo showing real city context carryover, deterministic tool calls, and one intentional retry/backoff event across turns.

primary showcase ai l2 ai-tool-use weather jido_ai

Related guides and notebooks

Concept
Reasoning strategies compared
Reasoning strategy context for weather assistants.
Livebook
Reasoning strategies compared
Run the companion notebook in Livebook
Source
weather multi-turn demo script
Upstream script with retry/backoff helpers and semantic checks.
Explanation

What this example teaches

Interactive Demo

Run the agent and inspect state

Source Code

Read the production implementation

Jido.AI Weather Multi-Turn Context
Real local weather-tool calls with preserved city context and deterministic retry/backoff behavior
city: unset
Selected City
Seattle
Context City
pending
Turns Completed
0
Retry Events
0
City presets
Conversation Transcript
0 turn(s)
Run the first turn to anchor the city context, then follow up without repeating the location.
Retry and Backoff
0 event(s)
The umbrella follow-up triggers one deterministic busy response, then retries after a local backoff.
Tool Calls
0 call(s)
Each turn records the underlying local weather-tool call and whether it succeeded or retried.
Activity Log
0 entry(s)
Run the conversation to inspect context carryover and retry notes.