Classificar mensagens com respostas em JSON
Tradução automática
Esta página foi traduzida automaticamente do inglês e ainda não foi revisada por um falante nativo; correções são bem-vindas no GitHub. Se algo não bater, vale o original em inglês. O código e os resultados são os mesmos do original, importados dos arquivos testados.
Tarefa: arquivar cada mensagem de suporte numa categoria, decidida pelo modelo, numa tabela.
# Recipe: the model reads free text and answers with fields you store.
paths:
components: ./components
migrations: ./migrations
datasources:
db:
driver: sqlite
database: ./data/helpdesk.db
llm:
model: phi3CREATE TABLE tickets (
id INTEGER PRIMARY KEY AUTOINCREMENT,
message TEXT NOT NULL,
category TEXT NOT NULL CHECK (category IN ('billing', 'shipping', 'other')),
urgent INTEGER NOT NULL DEFAULT 0
);responseFormat="json" pede JSON ao modelo e o interpreta: ticket é um objeto. Os campos dele são uma entrada como qualquer outra — a página verifica a categoria antes de guardá-la, e as próprias regras dos q:param da ação rodam antes de o modelo sequer ser chamado.
<q:component name="Helpdesk">
<q:action name="open" method="POST">
<q:param name="message" required="true" minlength="10" />
<!-- responseFormat="json": the model is asked for JSON, and the value is
the parsed object — ticket.category, ticket.urgent. -->
<q:llm name="ticket" responseFormat="json" temperature="0">
<q:prompt>Classify this customer message. Answer with JSON only:
{"category": "billing" or "shipping" or "other", "urgent": true or false}
Message: {message}</q:prompt>
</q:llm>
<!-- A model's answer is input like any other: a category it made up is
filed as "other" (the table's CHECK would refuse it). -->
<q:set name="category" value="{ticket.category if ticket.category in ['billing', 'shipping'] else 'other'}" />
<q:query name="saved" datasource="db">
INSERT INTO tickets (message, category, urgent) VALUES (:message, :category, :urgent)
<q:param name="message" value="{message}" type="string" />
<q:param name="category" value="{category}" type="string" />
<q:param name="urgent" value="{ticket.urgent == true}" type="boolean" />
</q:query>
<q:redirect url="/" flash="Filed under {category}." />
</q:action>
<q:query name="tickets" datasource="db">
SELECT category, urgent, message FROM tickets ORDER BY id DESC
</q:query>
<ui:window title="Helpdesk">
<q:if condition="flash">
<ui:alert variant="success">{flash}</ui:alert>
</q:if>
<ui:form on-submit="open">
<ui:input bind="message" rows="3" placeholder="How can we help?" />
<ui:button variant="primary">Send</ui:button>
</ui:form>
<ui:table source="{tickets}" />
</ui:window>
</q:component><!-- Structural checks, never the model's exact words: the same tests run
against a real model before every release. -->
<q:test name="a message is filed with the model's fields" page="/">
<test:submit action="open" message="I was charged twice for order 1042, please refund one." />
<test:expect redirect="/" />
<test:expect table="tickets" count="1" where="category = 'billing'" />
</q:test>
<q:test name="a message too short never reaches the model" page="/">
<test:submit action="open" message="help" />
<test:expect error="message" />
<test:expect table="tickets" count="0" />
</q:test>
<q:test name="a category the model made up is filed as other" page="/">
<test:submit action="open" message="Please write me a poem about the sea." />
<test:expect redirect="/" flash="Filed under other." />
<test:expect table="tickets" count="1" where="category = 'other'" />
</q:test>[
{"when": "charged twice", "replies": ["{\"category\": \"billing\", \"urgent\": true}"]},
{"when": "a poem about the sea", "replies": ["{\"category\": \"poetry\", \"urgent\": false}"]}
]tests/tickets.test.q
PASS a message is filed with the model's fields
PASS a message too short never reaches the model
PASS a category the model made up is filed as other
3 passed, 0 failedTestado: no CI estes testes rodam contra um servidor de modelos substituto, que responde a partir da primeira fonte que recebe; antes de cada versão eles rodam contra um modelo de verdade (tests/live_ai/test_cookbook_ai.py). Por isso eles conferem a estrutura — qual fonte, qual ferramenta, o que a página mostra quando algo falha — e nunca as palavras do modelo.
Veja IA-1.