feat: init commint

This commit is contained in:
2026-09-18 15:26:19 +08:00
parent 3b61a767a0
commit 9f47dbb5cc
95 changed files with 7712 additions and 1137 deletions

View File

@@ -21,6 +21,12 @@ from openai import (
from apps.modelhub.crypto import CredentialEncryptionError, decrypt_secret
from apps.modelhub.models import ModelDeployment, ModelInvocation
from apps.modelhub.structured_output import (
STRUCTURED_OUTPUT_TEST_PROMPT,
STRUCTURED_OUTPUT_TEST_SCHEMA,
StructuredOutputError,
build_structured_request,
)
TRANSIENT_ERRORS = (APIConnectionError, APITimeoutError, RateLimitError)
@@ -44,6 +50,7 @@ def _request_completion(
*,
temperature: float,
max_output_tokens: int,
response_format: dict[str, Any] | None = None,
timeout_seconds: float | None = None,
) -> CompletionResult:
provider = deployment.provider
@@ -57,11 +64,16 @@ def _request_completion(
# Retry here so the platform can expose it instead of waiting on opaque SDK retries.
max_retries=0,
)
request_options: dict[str, Any] = {
"model": deployment.model_name,
"messages": messages,
"temperature": temperature,
"max_tokens": max_output_tokens,
}
if response_format is not None:
request_options["response_format"] = response_format
response = client.chat.completions.create(
model=deployment.model_name,
messages=messages,
temperature=temperature,
max_tokens=max_output_tokens,
**request_options,
)
content = response.choices[0].message.content or ""
usage = response.usage
@@ -96,13 +108,21 @@ def execute_invocation(
*,
temperature: float | None = None,
max_output_tokens: int | None = None,
output_schema: dict[str, Any] | None = None,
schema_name: str | None = None,
on_retry: Callable[[int, str], None] | None = None,
total_timeout_seconds: float | None = None,
) -> ModelInvocation:
"""在总时间预算内调用模型,分类错误、限制重试并记录脱敏终态。"""
deployment = invocation.deployment
if deployment is None or not deployment.enabled or not deployment.provider.enabled:
if (
deployment is None
or deployment.archived_at is not None
or deployment.provider.archived_at is not None
or not deployment.enabled
or not deployment.provider.enabled
):
invocation.status = "failed"
invocation.error_code = "deployment_unavailable"
invocation.error_message = "模型配置或渠道未启用"
@@ -110,6 +130,27 @@ def execute_invocation(
invocation.save(update_fields=["status", "error_code", "error_message", "finished_at"])
return invocation
request_messages = messages
response_format = None
structured_metadata = None
if output_schema is not None:
try:
request_messages, response_format, structured_metadata = build_structured_request(
messages,
mode=deployment.structured_output_mode,
output_schema=output_schema,
schema_name=schema_name or f"invocation_{invocation.public_id.hex}",
)
except StructuredOutputError as error:
invocation.status = "failed"
invocation.error_code = error.code
invocation.error_message = str(error)
invocation.finished_at = timezone.now()
invocation.save(
update_fields=["status", "error_code", "error_message", "finished_at"]
)
return invocation
invocation.status = "running"
invocation.started_at = timezone.now()
invocation.model_snapshot = {
@@ -121,8 +162,18 @@ def execute_invocation(
"capability": deployment.capability,
"temperature": temperature if temperature is not None else deployment.default_temperature,
"max_output_tokens": max_output_tokens or deployment.max_output_tokens,
"structured_output": structured_metadata,
}
invocation.save(update_fields=["status", "started_at", "model_snapshot"])
if structured_metadata is not None:
invocation.input_snapshot = {
**invocation.input_snapshot,
"structured_output": structured_metadata,
"output_schema": output_schema,
"response_format": response_format,
}
invocation.save(
update_fields=["status", "started_at", "model_snapshot", "input_snapshot"]
)
started = monotonic()
result: CompletionResult | None = None
last_error: Exception | None = None
@@ -136,17 +187,21 @@ def execute_invocation(
try:
result = _request_completion(
deployment,
messages,
request_messages,
temperature=temperature
if temperature is not None
else deployment.default_temperature,
max_output_tokens=max_output_tokens or deployment.max_output_tokens,
response_format=response_format,
timeout_seconds=remaining,
)
invocation.retry_count = attempt
break
except Exception as error: # provider libraries expose several subclasses
code, message, transient = _error_details(error)
if response_format is not None and code == "bad_request":
code = "structured_output_unsupported"
message = "模型渠道拒绝当前结构化输出配置"
last_error = error
invocation.retry_count = attempt
if not transient or attempt == 1:
@@ -199,3 +254,21 @@ def create_model_test(
input_snapshot={"messages": [{"role": "user", "content": prompt}]},
created_by=user,
)
def create_structured_output_test(
deployment: ModelDeployment,
user=None,
) -> ModelInvocation:
"""创建单次、不可修复的结构化输出能力测试。"""
return ModelInvocation.objects.create(
deployment=deployment,
invocation_type="structured_output_test",
input_snapshot={
"messages": [{"role": "user", "content": STRUCTURED_OUTPUT_TEST_PROMPT}],
"output_schema": STRUCTURED_OUTPUT_TEST_SCHEMA,
"schema_name": f"deployment_{deployment.id}_structured_output_test",
},
created_by=user,
)