File size: 9,333 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 |
from functools import wraps
from sentry_sdk import consts
from sentry_sdk.ai.monitoring import record_token_usage
from sentry_sdk.consts import SPANDATA
from sentry_sdk.ai.utils import set_data_normalized
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Any, Callable, Iterator
from sentry_sdk.tracing import Span
import sentry_sdk
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.utils import capture_internal_exceptions, event_from_exception
try:
from cohere.client import Client
from cohere.base_client import BaseCohere
from cohere import (
ChatStreamEndEvent,
NonStreamedChatResponse,
)
if TYPE_CHECKING:
from cohere import StreamedChatResponse
except ImportError:
raise DidNotEnable("Cohere not installed")
try:
# cohere 5.9.3+
from cohere import StreamEndStreamedChatResponse
except ImportError:
from cohere import StreamedChatResponse_StreamEnd as StreamEndStreamedChatResponse
COLLECTED_CHAT_PARAMS = {
"model": SPANDATA.AI_MODEL_ID,
"k": SPANDATA.AI_TOP_K,
"p": SPANDATA.AI_TOP_P,
"seed": SPANDATA.AI_SEED,
"frequency_penalty": SPANDATA.AI_FREQUENCY_PENALTY,
"presence_penalty": SPANDATA.AI_PRESENCE_PENALTY,
"raw_prompting": SPANDATA.AI_RAW_PROMPTING,
}
COLLECTED_PII_CHAT_PARAMS = {
"tools": SPANDATA.AI_TOOLS,
"preamble": SPANDATA.AI_PREAMBLE,
}
COLLECTED_CHAT_RESP_ATTRS = {
"generation_id": SPANDATA.AI_GENERATION_ID,
"is_search_required": SPANDATA.AI_SEARCH_REQUIRED,
"finish_reason": SPANDATA.AI_FINISH_REASON,
}
COLLECTED_PII_CHAT_RESP_ATTRS = {
"citations": SPANDATA.AI_CITATIONS,
"documents": SPANDATA.AI_DOCUMENTS,
"search_queries": SPANDATA.AI_SEARCH_QUERIES,
"search_results": SPANDATA.AI_SEARCH_RESULTS,
"tool_calls": SPANDATA.AI_TOOL_CALLS,
}
class CohereIntegration(Integration):
identifier = "cohere"
origin = f"auto.ai.{identifier}"
def __init__(self, include_prompts=True):
# type: (CohereIntegration, bool) -> None
self.include_prompts = include_prompts
@staticmethod
def setup_once():
# type: () -> None
BaseCohere.chat = _wrap_chat(BaseCohere.chat, streaming=False)
Client.embed = _wrap_embed(Client.embed)
BaseCohere.chat_stream = _wrap_chat(BaseCohere.chat_stream, streaming=True)
def _capture_exception(exc):
# type: (Any) -> None
event, hint = event_from_exception(
exc,
client_options=sentry_sdk.get_client().options,
mechanism={"type": "cohere", "handled": False},
)
sentry_sdk.capture_event(event, hint=hint)
def _wrap_chat(f, streaming):
# type: (Callable[..., Any], bool) -> Callable[..., Any]
def collect_chat_response_fields(span, res, include_pii):
# type: (Span, NonStreamedChatResponse, bool) -> None
if include_pii:
if hasattr(res, "text"):
set_data_normalized(
span,
SPANDATA.AI_RESPONSES,
[res.text],
)
for pii_attr in COLLECTED_PII_CHAT_RESP_ATTRS:
if hasattr(res, pii_attr):
set_data_normalized(span, "ai." + pii_attr, getattr(res, pii_attr))
for attr in COLLECTED_CHAT_RESP_ATTRS:
if hasattr(res, attr):
set_data_normalized(span, "ai." + attr, getattr(res, attr))
if hasattr(res, "meta"):
if hasattr(res.meta, "billed_units"):
record_token_usage(
span,
prompt_tokens=res.meta.billed_units.input_tokens,
completion_tokens=res.meta.billed_units.output_tokens,
)
elif hasattr(res.meta, "tokens"):
record_token_usage(
span,
prompt_tokens=res.meta.tokens.input_tokens,
completion_tokens=res.meta.tokens.output_tokens,
)
if hasattr(res.meta, "warnings"):
set_data_normalized(span, SPANDATA.AI_WARNINGS, res.meta.warnings)
@wraps(f)
def new_chat(*args, **kwargs):
# type: (*Any, **Any) -> Any
integration = sentry_sdk.get_client().get_integration(CohereIntegration)
if (
integration is None
or "message" not in kwargs
or not isinstance(kwargs.get("message"), str)
):
return f(*args, **kwargs)
message = kwargs.get("message")
span = sentry_sdk.start_span(
op=consts.OP.COHERE_CHAT_COMPLETIONS_CREATE,
name="cohere.client.Chat",
origin=CohereIntegration.origin,
)
span.__enter__()
try:
res = f(*args, **kwargs)
except Exception as e:
_capture_exception(e)
span.__exit__(None, None, None)
raise e from None
with capture_internal_exceptions():
if should_send_default_pii() and integration.include_prompts:
set_data_normalized(
span,
SPANDATA.AI_INPUT_MESSAGES,
list(
map(
lambda x: {
"role": getattr(x, "role", "").lower(),
"content": getattr(x, "message", ""),
},
kwargs.get("chat_history", []),
)
)
+ [{"role": "user", "content": message}],
)
for k, v in COLLECTED_PII_CHAT_PARAMS.items():
if k in kwargs:
set_data_normalized(span, v, kwargs[k])
for k, v in COLLECTED_CHAT_PARAMS.items():
if k in kwargs:
set_data_normalized(span, v, kwargs[k])
set_data_normalized(span, SPANDATA.AI_STREAMING, False)
if streaming:
old_iterator = res
def new_iterator():
# type: () -> Iterator[StreamedChatResponse]
with capture_internal_exceptions():
for x in old_iterator:
if isinstance(x, ChatStreamEndEvent) or isinstance(
x, StreamEndStreamedChatResponse
):
collect_chat_response_fields(
span,
x.response,
include_pii=should_send_default_pii()
and integration.include_prompts,
)
yield x
span.__exit__(None, None, None)
return new_iterator()
elif isinstance(res, NonStreamedChatResponse):
collect_chat_response_fields(
span,
res,
include_pii=should_send_default_pii()
and integration.include_prompts,
)
span.__exit__(None, None, None)
else:
set_data_normalized(span, "unknown_response", True)
span.__exit__(None, None, None)
return res
return new_chat
def _wrap_embed(f):
# type: (Callable[..., Any]) -> Callable[..., Any]
@wraps(f)
def new_embed(*args, **kwargs):
# type: (*Any, **Any) -> Any
integration = sentry_sdk.get_client().get_integration(CohereIntegration)
if integration is None:
return f(*args, **kwargs)
with sentry_sdk.start_span(
op=consts.OP.COHERE_EMBEDDINGS_CREATE,
name="Cohere Embedding Creation",
origin=CohereIntegration.origin,
) as span:
if "texts" in kwargs and (
should_send_default_pii() and integration.include_prompts
):
if isinstance(kwargs["texts"], str):
set_data_normalized(span, SPANDATA.AI_TEXTS, [kwargs["texts"]])
elif (
isinstance(kwargs["texts"], list)
and len(kwargs["texts"]) > 0
and isinstance(kwargs["texts"][0], str)
):
set_data_normalized(
span, SPANDATA.AI_INPUT_MESSAGES, kwargs["texts"]
)
if "model" in kwargs:
set_data_normalized(span, SPANDATA.AI_MODEL_ID, kwargs["model"])
try:
res = f(*args, **kwargs)
except Exception as e:
_capture_exception(e)
raise e from None
if (
hasattr(res, "meta")
and hasattr(res.meta, "billed_units")
and hasattr(res.meta.billed_units, "input_tokens")
):
record_token_usage(
span,
prompt_tokens=res.meta.billed_units.input_tokens,
total_tokens=res.meta.billed_units.input_tokens,
)
return res
return new_embed
|