925fff731f
- Memorizer tracks user_expectation (conversational/delegated/waiting_input/observing) - Output node adjusts phrasing per expectation - PA retry loop: reformulates job on expert failure (all retries exhausted or tool skip) - Machine state in PA context: get_machine_summary includes current state, buttons, stored data - Expert writes to machine state via update_machine + transition_machine - Expanded baked schema coverage - Awareness panel shows color-coded expectation state - Dashboard and workspace component updates Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
42 lines
1.3 KiB
Markdown
42 lines
1.3 KiB
Markdown
# Machine State → PA Context
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Tests that PA reads machine state when routing, and experts can write back to machines.
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Validates: enriched machine summary, update_machine, transition_machine.
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## Setup
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- clear history
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## Steps
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### 1. Create a machine
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- send: create a navigation machine called "wizard" with initial state "start" and a second state called "details"
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- expect_trace: has machine_created
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### 2. PA sees machine in context
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- send: what machines are active on my dashboard?
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- expect_response: contains "wizard" or "start"
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### 3. Expert stores data on machine
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- send: use update_machine to store region=Bayern on the wizard machine
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- expect_response: contains "Bayern" or "region" or "stored" or "updated"
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### 4. PA sees stored data
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- send: what data is stored in my wizard machine?
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- expect_response: contains "Bayern" or "region"
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### 5. Expert transitions machine to details
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- send: use transition_machine to move wizard to details state
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- expect_response: length > 5
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### 6. PA sees updated state
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- send: what state is the wizard in now?
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- expect_response: contains "details"
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### 7. Expert transitions back
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- send: use transition_machine to move wizard back to start
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- expect_response: length > 5
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### 8. Final state check
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- send: tell me the current wizard state and stored data
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- expect_response: contains "start"
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