File size: 9,426 Bytes
9c6594c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 |
from functools import wraps
from typing import TYPE_CHECKING
import sentry_sdk
from sentry_sdk.ai.monitoring import record_token_usage
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.integrations import _check_minimum_version, DidNotEnable, Integration
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.utils import (
capture_internal_exceptions,
event_from_exception,
package_version,
)
try:
from anthropic.resources import AsyncMessages, Messages
if TYPE_CHECKING:
from anthropic.types import MessageStreamEvent
except ImportError:
raise DidNotEnable("Anthropic not installed")
if TYPE_CHECKING:
from typing import Any, AsyncIterator, Iterator
from sentry_sdk.tracing import Span
class AnthropicIntegration(Integration):
identifier = "anthropic"
origin = f"auto.ai.{identifier}"
def __init__(self, include_prompts=True):
# type: (AnthropicIntegration, bool) -> None
self.include_prompts = include_prompts
@staticmethod
def setup_once():
# type: () -> None
version = package_version("anthropic")
_check_minimum_version(AnthropicIntegration, version)
Messages.create = _wrap_message_create(Messages.create)
AsyncMessages.create = _wrap_message_create_async(AsyncMessages.create)
def _capture_exception(exc):
# type: (Any) -> None
event, hint = event_from_exception(
exc,
client_options=sentry_sdk.get_client().options,
mechanism={"type": "anthropic", "handled": False},
)
sentry_sdk.capture_event(event, hint=hint)
def _calculate_token_usage(result, span):
# type: (Messages, Span) -> None
input_tokens = 0
output_tokens = 0
if hasattr(result, "usage"):
usage = result.usage
if hasattr(usage, "input_tokens") and isinstance(usage.input_tokens, int):
input_tokens = usage.input_tokens
if hasattr(usage, "output_tokens") and isinstance(usage.output_tokens, int):
output_tokens = usage.output_tokens
total_tokens = input_tokens + output_tokens
record_token_usage(span, input_tokens, output_tokens, total_tokens)
def _get_responses(content):
# type: (list[Any]) -> list[dict[str, Any]]
"""
Get JSON of a Anthropic responses.
"""
responses = []
for item in content:
if hasattr(item, "text"):
responses.append(
{
"type": item.type,
"text": item.text,
}
)
return responses
def _collect_ai_data(event, input_tokens, output_tokens, content_blocks):
# type: (MessageStreamEvent, int, int, list[str]) -> tuple[int, int, list[str]]
"""
Count token usage and collect content blocks from the AI streaming response.
"""
with capture_internal_exceptions():
if hasattr(event, "type"):
if event.type == "message_start":
usage = event.message.usage
input_tokens += usage.input_tokens
output_tokens += usage.output_tokens
elif event.type == "content_block_start":
pass
elif event.type == "content_block_delta":
if hasattr(event.delta, "text"):
content_blocks.append(event.delta.text)
elif hasattr(event.delta, "partial_json"):
content_blocks.append(event.delta.partial_json)
elif event.type == "content_block_stop":
pass
elif event.type == "message_delta":
output_tokens += event.usage.output_tokens
return input_tokens, output_tokens, content_blocks
def _add_ai_data_to_span(
span, integration, input_tokens, output_tokens, content_blocks
):
# type: (Span, AnthropicIntegration, int, int, list[str]) -> None
"""
Add token usage and content blocks from the AI streaming response to the span.
"""
with capture_internal_exceptions():
if should_send_default_pii() and integration.include_prompts:
complete_message = "".join(content_blocks)
span.set_data(
SPANDATA.AI_RESPONSES,
[{"type": "text", "text": complete_message}],
)
total_tokens = input_tokens + output_tokens
record_token_usage(span, input_tokens, output_tokens, total_tokens)
span.set_data(SPANDATA.AI_STREAMING, True)
def _sentry_patched_create_common(f, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
integration = kwargs.pop("integration")
if integration is None:
return f(*args, **kwargs)
if "messages" not in kwargs:
return f(*args, **kwargs)
try:
iter(kwargs["messages"])
except TypeError:
return f(*args, **kwargs)
span = sentry_sdk.start_span(
op=OP.ANTHROPIC_MESSAGES_CREATE,
description="Anthropic messages create",
origin=AnthropicIntegration.origin,
)
span.__enter__()
result = yield f, args, kwargs
# add data to span and finish it
messages = list(kwargs["messages"])
model = kwargs.get("model")
with capture_internal_exceptions():
span.set_data(SPANDATA.AI_MODEL_ID, model)
span.set_data(SPANDATA.AI_STREAMING, False)
if should_send_default_pii() and integration.include_prompts:
span.set_data(SPANDATA.AI_INPUT_MESSAGES, messages)
if hasattr(result, "content"):
if should_send_default_pii() and integration.include_prompts:
span.set_data(SPANDATA.AI_RESPONSES, _get_responses(result.content))
_calculate_token_usage(result, span)
span.__exit__(None, None, None)
# Streaming response
elif hasattr(result, "_iterator"):
old_iterator = result._iterator
def new_iterator():
# type: () -> Iterator[MessageStreamEvent]
input_tokens = 0
output_tokens = 0
content_blocks = [] # type: list[str]
for event in old_iterator:
input_tokens, output_tokens, content_blocks = _collect_ai_data(
event, input_tokens, output_tokens, content_blocks
)
yield event
_add_ai_data_to_span(
span, integration, input_tokens, output_tokens, content_blocks
)
span.__exit__(None, None, None)
async def new_iterator_async():
# type: () -> AsyncIterator[MessageStreamEvent]
input_tokens = 0
output_tokens = 0
content_blocks = [] # type: list[str]
async for event in old_iterator:
input_tokens, output_tokens, content_blocks = _collect_ai_data(
event, input_tokens, output_tokens, content_blocks
)
yield event
_add_ai_data_to_span(
span, integration, input_tokens, output_tokens, content_blocks
)
span.__exit__(None, None, None)
if str(type(result._iterator)) == "<class 'async_generator'>":
result._iterator = new_iterator_async()
else:
result._iterator = new_iterator()
else:
span.set_data("unknown_response", True)
span.__exit__(None, None, None)
return result
def _wrap_message_create(f):
# type: (Any) -> Any
def _execute_sync(f, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
gen = _sentry_patched_create_common(f, *args, **kwargs)
try:
f, args, kwargs = next(gen)
except StopIteration as e:
return e.value
try:
try:
result = f(*args, **kwargs)
except Exception as exc:
_capture_exception(exc)
raise exc from None
return gen.send(result)
except StopIteration as e:
return e.value
@wraps(f)
def _sentry_patched_create_sync(*args, **kwargs):
# type: (*Any, **Any) -> Any
integration = sentry_sdk.get_client().get_integration(AnthropicIntegration)
kwargs["integration"] = integration
return _execute_sync(f, *args, **kwargs)
return _sentry_patched_create_sync
def _wrap_message_create_async(f):
# type: (Any) -> Any
async def _execute_async(f, *args, **kwargs):
# type: (Any, *Any, **Any) -> Any
gen = _sentry_patched_create_common(f, *args, **kwargs)
try:
f, args, kwargs = next(gen)
except StopIteration as e:
return await e.value
try:
try:
result = await f(*args, **kwargs)
except Exception as exc:
_capture_exception(exc)
raise exc from None
return gen.send(result)
except StopIteration as e:
return e.value
@wraps(f)
async def _sentry_patched_create_async(*args, **kwargs):
# type: (*Any, **Any) -> Any
integration = sentry_sdk.get_client().get_integration(AnthropicIntegration)
kwargs["integration"] = integration
return await _execute_async(f, *args, **kwargs)
return _sentry_patched_create_async
|