Uso
Guias e padrões para trabalhar com o SDK de Python do TypeSafe.
Chamar a API do System One
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, Choice, Noul, Score
async def main() -> None:
async with AsyncTypeSafeClient() as client:
result = await client.system_one(
"I was charged twice. Please help ASAP.",
{
"billing": Noul(instructions="Is this about billing?"),
"tone": Choice(
instructions="What is the tone?",
criteria={"calm": None, "angry": None},
),
"urgency": Score(
instructions="How urgent is this?",
criteria=["low", "medium", "high"],
),
},
)
print(
result.nouls["billing"].noul,
result.choices["tone"].choice,
result.scores["urgency"].score,
)
asyncio.run(main())from typesafe_sdk import Choice, Noul, Score, TypeSafeClient
client = TypeSafeClient()
state = "I was charged twice. Please help ASAP."
questions = {
"billing": Noul(instructions="Is this about billing?"),
"tone": Choice(
instructions="What is the tone?", criteria={"calm": None, "angry": None}
),
"urgency": Score(
instructions="How urgent is this?", criteria=["low", "medium", "high"]
),
}
result = client.system_one(state, questions)
print(
result.nouls["billing"].noul,
result.choices["tone"].choice,
result.scores["urgency"].score,
)Respostas tipadas de system_one
Você pode fornecer um modelo de resposta a system_one para tornar o uso da resposta mais seguro em termos de tipos:
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, Noul, NoulAnswer, SystemOneResponse
class BillingResponse(SystemOneResponse):
billing: NoulAnswer
async def main() -> None:
async with AsyncTypeSafeClient() as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
response_model=BillingResponse,
)
assert 0 <= result.billing.noul <= 1
assert result.billing == result.nouls["billing"]
print(result.request_id)
asyncio.run(main())from typesafe_sdk import Noul, NoulAnswer, SystemOneResponse, TypeSafeClient
class BillingResponse(SystemOneResponse):
billing: NoulAnswer
with TypeSafeClient() as client:
result = client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
response_model=BillingResponse,
)
assert 0 <= result.billing.noul <= 1
assert result.billing == result.nouls["billing"]
print(result.request_id)Tipos de resposta personalizados
Também é possível definir um modelo de resposta totalmente novo sem herdar de SystemOneResponse:
import asyncio
from pydantic import BaseModel
from typesafe_sdk import AsyncTypeSafeClient, Noul, NoulAnswer
class BillingAnswers(BaseModel):
billing: NoulAnswer
class BillingResponse(BaseModel):
answers: BillingAnswers
async def main() -> None:
async with AsyncTypeSafeClient() as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
response_model=BillingResponse,
)
assert 0 <= result.answers.billing.noul <= 1
asyncio.run(main())from pydantic import BaseModel
from typesafe_sdk import Noul, NoulAnswer, TypeSafeClient
class BillingAnswers(BaseModel):
billing: NoulAnswer
class BillingResponse(BaseModel):
answers: BillingAnswers
result = TypeSafeClient().system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
response_model=BillingResponse,
)
assert 0 <= result.answers.billing.noul <= 1Escolher um modelo
Inspecione os modelos disponíveis:
import asyncio
from typesafe_sdk import AsyncTypeSafeClient
async def main() -> None:
async with AsyncTypeSafeClient() as client:
print(await client.models.list())
asyncio.run(main())from typesafe_sdk import TypeSafeClient
print(TypeSafeClient().models.list())Selecione o modelo ao construir um cliente:
client = AsyncTypeSafeClient(model="jev")client = TypeSafeClient(model="jev")Consulte a referência do recurso Models para obter detalhes.
Configurar a URL base
Para usar o SDK com uma URL de API diferente, defina base_url no cliente ou a variável de ambiente TYPESAFE_BASE_URL. Isso exige que a API alternativa siga a especificação OpenAPI do TypeSafe.
Por exemplo, conecte-se por meio de um gateway de IA usando sua chave de API e seu ID de modelo.
Use uma chave de API do OpenRouter e um ID de modelo do OpenRouter:
import asyncio
import os
from typesafe_sdk import AsyncTypeSafeClient, Noul
async def main() -> None:
async with AsyncTypeSafeClient(
api_key=os.environ["OPENROUTER_API_KEY"],
base_url="https://openrouter.ai/api",
model="~typesafe/jev-latest",
) as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)
asyncio.run(main())import os
from typesafe_sdk import Noul, TypeSafeClient
with TypeSafeClient(
api_key=os.environ["OPENROUTER_API_KEY"],
base_url="https://openrouter.ai/api",
model="~typesafe/jev-latest",
) as client:
result = client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)A API compatível com o TypeSafe da Vercel pode ser usada com o SDK:
import asyncio
import os
from typesafe_sdk import AsyncTypeSafeClient, Noul
async def main() -> None:
async with AsyncTypeSafeClient(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/typesafe",
model="typesafe-ai/jev",
) as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)
asyncio.run(main())import os
from typesafe_sdk import Noul, TypeSafeClient
with TypeSafeClient(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/typesafe",
model="typesafe-ai/jev",
) as client:
result = client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)Use uma chave de API do Pydantic AI Gateway:
import asyncio
import os
from typesafe_sdk import AsyncTypeSafeClient, Noul
async def main() -> None:
async with AsyncTypeSafeClient(
api_key=os.environ["PYDANTIC_AI_GATEWAY_API_KEY"],
base_url="https://gateway-us.pydantic.dev/proxy/typesafe",
model="jev-latest",
) as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)
asyncio.run(main())import os
from typesafe_sdk import Noul, TypeSafeClient
with TypeSafeClient(
api_key=os.environ["PYDANTIC_AI_GATEWAY_API_KEY"],
base_url="https://gateway-us.pydantic.dev/proxy/typesafe",
model="jev-latest",
) as client:
result = client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.nouls["billing"].noul)HTTP/2
import httpx2
from typesafe_sdk import AsyncTypeSafeClient
client = AsyncTypeSafeClient(http_client=httpx2.AsyncClient(http2=True))import httpx2
from typesafe_sdk import TypeSafeClient
client = TypeSafeClient(http_client=httpx2.Client(http2=True))Tentativas
Passe um RetryPolicy personalizado como retry no cliente ou por chamada. Chaves de API inválidas geram TypeSafeError durante a criação do cliente, antes de qualquer requisição ou tentativa.
No cliente:
from typesafe_sdk import AsyncTypeSafeClient, RetryPolicy
client = AsyncTypeSafeClient(
retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0)
)from typesafe_sdk import RetryPolicy, TypeSafeClient
client = TypeSafeClient(retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0))Por chamada:
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, RetryPolicy
async def main() -> None:
async with AsyncTypeSafeClient() as client:
await client.system_one(
state,
questions,
retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0),
)
asyncio.run(main())from typesafe_sdk import RetryPolicy
client.system_one(
state, questions, retry=RetryPolicy(max_retries=3, backoff_max=0.2, timeout=1.0)
)Tratamento de erros
Trate as exceções geradas pelo SDK:
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, TypeSafeAPIError
async def main() -> None:
async with AsyncTypeSafeClient() as client:
try:
await client.system_one(state, questions)
except TypeSafeAPIError as error:
print(error.status, error.request_id)
asyncio.run(main())from typesafe_sdk import TypeSafeAPIError
try:
client.system_one(state, questions)
except TypeSafeAPIError as error:
print(error.status, error.request_id)Log
O SDK registra logs no logger typesafe_sdk. Configure-o de acordo com o guia de logging padrão:
import logging
logging.getLogger("typesafe_sdk").setLevel(logging.DEBUG)
Ou defina TYPESAFE_LOG_LEVEL como um dos valores debug, info, warning, error ou off antes de importar o SDK.
info registra uma linha de resumo por requisição; debug também registra cabeçalhos e corpos de requisição e resposta. Cabeçalhos secretos — autorização, chaves de API, cookies e qualquer cabeçalho cujo nome contenha token ou secret — são omitidos da saída do log. Os corpos de requisição e resposta não são omitidos.
Variáveis de ambiente
O SDK lê e usa as seguintes variáveis de ambiente:
| Variável | Configura | Padrão |
|---|---|---|
TYPESAFE_API_KEY |
Chave de API (obrigatória) | — |
TYPESAFE_BASE_URL |
URL raiz da API | https://api.typesafe.ai |
TYPESAFE_DEFAULT_MODEL |
Modelo padrão | jev-latest |
TYPESAFE_LOG_LEVEL |
Nível do logger typesafe_sdk, aplicado uma vez na importação |
não definido |
Consulte a referência de constantes para ver os padrões do SDK.
Chaves de API fornecidas por api_key ou TYPESAFE_API_KEY têm espaços em branco no início e no fim removidos, incluindo quebras de linha de arquivos de chave. Chaves vazias, espaços internos, caracteres de controle e caracteres não ASCII são rejeitados antes do envio de uma requisição. Uma chave explicitamente vazia não recorre ao ambiente.
Compatibilidade futura
O SDK continua funcionando conforme a API do TypeSafe evolui, para que você possa adotar novos recursos da API antes que uma versão do SDK adicione suporte de primeira classe a eles.
Campos extras da requisição
Envie campos adicionais da requisição da API com extra_body. O campo beam_width abaixo é ilustrativo; envie apenas campos compatíveis com a API.
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, Noul
async def main() -> None:
async with AsyncTypeSafeClient() as client:
await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="About billing?")},
extra_body={"beam_width": 4},
)
asyncio.run(main())from typesafe_sdk import Noul, TypeSafeClient
with TypeSafeClient() as client:
client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="About billing?")},
extra_body={"beam_width": 4},
)Dicionários de perguntas brutos
import asyncio
from typesafe_sdk import AsyncTypeSafeClient
async def main() -> None:
async with AsyncTypeSafeClient() as client:
await client.system_one(
"I was charged twice.",
{
"billing": {
"type": "noul",
"instructions": "About billing?",
"weight": 2,
}
},
)
asyncio.run(main())from typesafe_sdk import TypeSafeClient
with TypeSafeClient() as client:
client.system_one(
"I was charged twice.",
{"billing": {"type": "noul", "instructions": "About billing?", "weight": 2}},
)Tipos de resposta desconhecidos
O SDK registra um aviso e ignora tipos de resposta não reconhecidos. Use raw_http_response para inspecionar a resposta completa da API, incluindo essas respostas:
import asyncio
from typesafe_sdk import AsyncTypeSafeClient, Noul
async def main() -> None:
async with AsyncTypeSafeClient() as client:
result = await client.system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
print(result.raw_http_response.json()["answers"])
asyncio.run(main())from typesafe_sdk import Noul, TypeSafeClient
result = TypeSafeClient().system_one(
"I was charged twice.",
{"billing": Noul(instructions="Is this about billing?")},
)
raw_answers = result.raw_http_response.json()["answers"]Campos de resposta desconhecidos
Campos extras desconhecidos em respostas reconhecidas são ignorados.