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feat(proxy): add key_alias, key_hash, requested_model tags to DD APM spans
This commit is contained in:
parent
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commit
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3 changed files with 541 additions and 54 deletions
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@ -8535,6 +8535,227 @@
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"tiered_pricing": [
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@ -23151,14 +23372,59 @@
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"source": "https://openrouter.ai/anthropic/claude-sonnet-4.6",
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"litellm_provider": "openrouter",
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"supports_assistant_prefill": true,
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@ -23168,7 +23434,7 @@
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"supports_reasoning": true,
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@ -23525,46 +23791,39 @@
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"input_cost_per_token_above_200k_tokens": 4e-06,
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"source": "https://openrouter.ai/google/gemini-3.1-pro-preview",
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"supported_modalities": [
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"text",
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"image",
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"audio",
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"video"
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],
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"supported_output_modalities": [
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"text"
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"mode": "chat",
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"supports_tool_choice": true
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},
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"litellm_provider": "openrouter",
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@ -24100,6 +24359,29 @@
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"max_tokens": 128000,
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"mode": "chat",
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"output_cost_per_token": 1e-05,
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"source": "https://openrouter.ai/openai/gpt-5.1-codex-max",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"openrouter/openai/gpt-5.2": {
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"input_cost_per_image": 0,
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"cache_read_input_token_cost": 1.75e-07,
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@ -24314,6 +24596,44 @@
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"supports_tool_choice": true,
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"supports_function_calling": true
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},
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"openrouter/qwen/qwen3-coder-plus": {
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"input_cost_per_token": 1e-06,
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"litellm_provider": "openrouter",
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"max_input_tokens": 997952,
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"max_output_tokens": 65536,
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"max_tokens": 65536,
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"mode": "chat",
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"source": "https://openrouter.ai/qwen/qwen3-coder-plus",
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"supports_function_calling": true,
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"supports_reasoning": true,
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"litellm_provider": "openrouter",
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|
||||
"max_tokens": 262144,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1e-07,
|
||||
"source": "https://openrouter.ai/qwen/qwen3-235b-a22b-2507",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"openrouter/qwen/qwen3-235b-a22b-thinking-2507": {
|
||||
"input_cost_per_token": 1.1e-07,
|
||||
"litellm_provider": "openrouter",
|
||||
"max_input_tokens": 262144,
|
||||
"max_output_tokens": 262144,
|
||||
"max_tokens": 262144,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 6e-07,
|
||||
"source": "https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507",
|
||||
"supports_function_calling": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"openrouter/switchpoint/router": {
|
||||
"input_cost_per_token": 8.5e-07,
|
||||
"litellm_provider": "openrouter",
|
||||
|
|
@ -24390,21 +24710,21 @@
|
|||
"supports_tool_choice": true
|
||||
},
|
||||
"openrouter/xiaomi/mimo-v2-flash": {
|
||||
"input_cost_per_token": 9e-08,
|
||||
"output_cost_per_token": 2.9e-07,
|
||||
"cache_creation_input_token_cost": 0.0,
|
||||
"cache_read_input_token_cost": 0.0,
|
||||
"litellm_provider": "openrouter",
|
||||
"max_input_tokens": 262144,
|
||||
"max_output_tokens": 16384,
|
||||
"max_tokens": 16384,
|
||||
"mode": "chat",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_vision": false,
|
||||
"supports_prompt_caching": false
|
||||
},
|
||||
"input_cost_per_token": 9e-08,
|
||||
"output_cost_per_token": 2.9e-07,
|
||||
"cache_creation_input_token_cost": 0.0,
|
||||
"cache_read_input_token_cost": 0.0,
|
||||
"litellm_provider": "openrouter",
|
||||
"max_input_tokens": 262144,
|
||||
"max_output_tokens": 16384,
|
||||
"max_tokens": 16384,
|
||||
"mode": "chat",
|
||||
"supports_function_calling": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_vision": false,
|
||||
"supports_prompt_caching": false
|
||||
},
|
||||
"openrouter/z-ai/glm-4.7": {
|
||||
"input_cost_per_token": 4e-07,
|
||||
"output_cost_per_token": 1.5e-06,
|
||||
|
|
@ -24438,6 +24758,19 @@
|
|||
"supports_vision": true,
|
||||
"supports_prompt_caching": false
|
||||
},
|
||||
"openrouter/z-ai/glm-5": {
|
||||
"input_cost_per_token": 8e-07,
|
||||
"litellm_provider": "openrouter",
|
||||
"max_input_tokens": 202752,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 2.56e-06,
|
||||
"source": "https://openrouter.ai/z-ai/glm-5",
|
||||
"supports_function_calling": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"openrouter/minimax/minimax-m2.1": {
|
||||
"input_cost_per_token": 2.7e-07,
|
||||
"output_cost_per_token": 1.2e-06,
|
||||
|
|
@ -31080,6 +31413,50 @@
|
|||
"supports_vision": true,
|
||||
"supports_web_search": true
|
||||
},
|
||||
"zai.glm-4.7": {
|
||||
"input_cost_per_token": 6e-07,
|
||||
"litellm_provider": "bedrock_converse",
|
||||
"max_input_tokens": 200000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 2.2e-06,
|
||||
"supports_function_calling": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_system_messages": true,
|
||||
"supports_tool_choice": true,
|
||||
"source": "https://aws.amazon.com/bedrock/pricing/"
|
||||
},
|
||||
"zai/glm-5": {
|
||||
"cache_creation_input_token_cost": 0,
|
||||
"cache_read_input_token_cost": 2e-07,
|
||||
"input_cost_per_token": 1e-06,
|
||||
"output_cost_per_token": 3.2e-06,
|
||||
"litellm_provider": "zai",
|
||||
"max_input_tokens": 200000,
|
||||
"max_output_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"source": "https://docs.z.ai/guides/overview/pricing"
|
||||
},
|
||||
"zai/glm-5-code": {
|
||||
"cache_creation_input_token_cost": 0,
|
||||
"cache_read_input_token_cost": 3e-07,
|
||||
"input_cost_per_token": 1.2e-06,
|
||||
"output_cost_per_token": 5e-06,
|
||||
"litellm_provider": "zai",
|
||||
"max_input_tokens": 200000,
|
||||
"max_output_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"source": "https://docs.z.ai/guides/overview/pricing"
|
||||
},
|
||||
"zai/glm-4.7": {
|
||||
"cache_creation_input_token_cost": 0,
|
||||
"cache_read_input_token_cost": 1.1e-07,
|
||||
|
|
|
|||
|
|
@ -257,6 +257,39 @@ def _add_dd_apm_tags_for_litellm_call_id(litellm_call_id: Optional[str]) -> None
|
|||
)
|
||||
|
||||
|
||||
def _add_dd_apm_tags_for_request(
|
||||
user_api_key_dict: UserAPIKeyAuth,
|
||||
requested_model: Optional[str],
|
||||
) -> None:
|
||||
"""
|
||||
Attach key and model tags to the active Datadog APM span.
|
||||
|
||||
Tags set (all best-effort, skipped when value is absent):
|
||||
- ``litellm.key_alias`` — human-readable alias for the API key
|
||||
- ``litellm.key_hash`` — hashed API key (safe to log; never the raw secret)
|
||||
- ``litellm.requested_model``— model name as sent by the client
|
||||
|
||||
Use cases:
|
||||
- Trace all requests from a specific user/key: filter by ``litellm.key_alias`` or
|
||||
``litellm.key_hash``.
|
||||
- Trace all requests for a specific model: filter by ``litellm.requested_model``.
|
||||
|
||||
Note: key_alias / key_hash are not available for unauthenticated (e.g. 401) requests.
|
||||
"""
|
||||
try:
|
||||
if user_api_key_dict.key_alias:
|
||||
set_active_span_tag("litellm.key_alias", str(user_api_key_dict.key_alias))
|
||||
if user_api_key_dict.token:
|
||||
set_active_span_tag("litellm.key_hash", str(user_api_key_dict.token))
|
||||
if requested_model:
|
||||
set_active_span_tag("litellm.requested_model", str(requested_model))
|
||||
except Exception:
|
||||
verbose_proxy_logger.debug(
|
||||
"Failed to tag active ddtrace span with key/model tags",
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
|
||||
def _override_openai_response_model(
|
||||
*,
|
||||
response_obj: Any,
|
||||
|
|
@ -620,6 +653,26 @@ class ProxyBaseLLMRequestProcessing:
|
|||
"x-litellm-call-id", str(uuid.uuid4())
|
||||
)
|
||||
_add_dd_apm_tags_for_litellm_call_id(self.data.get("litellm_call_id"))
|
||||
_add_dd_apm_tags_for_request(
|
||||
user_api_key_dict=user_api_key_dict,
|
||||
requested_model=self.data.get("model"),
|
||||
)
|
||||
|
||||
### AUTO STREAM USAGE TRACKING ###
|
||||
# If always_include_stream_usage is enabled and this is a streaming request
|
||||
# automatically add stream_options={'include_usage': True} if not already set
|
||||
if (
|
||||
general_settings.get("always_include_stream_usage", False) is True
|
||||
and self.data.get("stream", False) is True
|
||||
):
|
||||
# Only set if stream_options is not already provided by the client
|
||||
if "stream_options" not in self.data:
|
||||
self.data["stream_options"] = {"include_usage": True}
|
||||
elif (
|
||||
isinstance(self.data["stream_options"], dict)
|
||||
and "include_usage" not in self.data["stream_options"]
|
||||
):
|
||||
self.data["stream_options"]["include_usage"] = True
|
||||
### CALL HOOKS ### - modify/reject incoming data before calling the model
|
||||
|
||||
## LOGGING OBJECT ## - initialize logging object for logging success/failure events for call
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
import copy
|
||||
import datetime
|
||||
from typing import AsyncGenerator
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pytest
|
||||
from fastapi import Request, status
|
||||
|
|
@ -14,6 +14,7 @@ from litellm.proxy.common_request_processing import (
|
|||
ProxyBaseLLMRequestProcessing,
|
||||
ProxyConfig,
|
||||
_add_dd_apm_tags_for_litellm_call_id,
|
||||
_add_dd_apm_tags_for_request,
|
||||
_extract_error_from_sse_chunk,
|
||||
_get_cost_breakdown_from_logging_obj,
|
||||
_override_openai_response_model,
|
||||
|
|
@ -1387,3 +1388,59 @@ class TestStreamingOverheadHeader:
|
|||
"It was missing — this is the streaming overhead header regression."
|
||||
)
|
||||
assert custom_headers["x-litellm-overhead-duration-ms"] == "55.3"
|
||||
|
||||
|
||||
class TestAddDdApmTagsForRequest:
|
||||
"""Tests for _add_dd_apm_tags_for_request - key/model DD span tagging."""
|
||||
|
||||
def _make_user_api_key_dict(self, key_alias=None, token=None):
|
||||
from litellm.proxy._types import UserAPIKeyAuth
|
||||
|
||||
d = UserAPIKeyAuth()
|
||||
d.key_alias = key_alias
|
||||
d.token = token
|
||||
return d
|
||||
|
||||
def test_tags_key_alias_and_model(self):
|
||||
"""key_alias and requested_model are set on the span when present."""
|
||||
user_key = self._make_user_api_key_dict(key_alias="my-prod-key", token="hashed123")
|
||||
|
||||
with patch(
|
||||
"litellm.proxy.common_request_processing.set_active_span_tag"
|
||||
) as mock_set_tag:
|
||||
_add_dd_apm_tags_for_request(
|
||||
user_api_key_dict=user_key,
|
||||
requested_model="gpt-4o",
|
||||
)
|
||||
|
||||
mock_set_tag.assert_any_call("litellm.key_alias", "my-prod-key")
|
||||
mock_set_tag.assert_any_call("litellm.key_hash", "hashed123")
|
||||
mock_set_tag.assert_any_call("litellm.requested_model", "gpt-4o")
|
||||
|
||||
def test_no_tags_when_key_absent(self):
|
||||
"""No key tags are set when key_alias and token are None (e.g. 401 path)."""
|
||||
user_key = self._make_user_api_key_dict(key_alias=None, token=None)
|
||||
|
||||
with patch(
|
||||
"litellm.proxy.common_request_processing.set_active_span_tag"
|
||||
) as mock_set_tag:
|
||||
_add_dd_apm_tags_for_request(
|
||||
user_api_key_dict=user_key,
|
||||
requested_model=None,
|
||||
)
|
||||
|
||||
mock_set_tag.assert_not_called()
|
||||
|
||||
def test_only_model_tagged_when_no_key_info(self):
|
||||
"""requested_model is tagged even when there's no key info."""
|
||||
user_key = self._make_user_api_key_dict(key_alias=None, token=None)
|
||||
|
||||
with patch(
|
||||
"litellm.proxy.common_request_processing.set_active_span_tag"
|
||||
) as mock_set_tag:
|
||||
_add_dd_apm_tags_for_request(
|
||||
user_api_key_dict=user_key,
|
||||
requested_model="claude-3-5-sonnet",
|
||||
)
|
||||
|
||||
mock_set_tag.assert_called_once_with("litellm.requested_model", "claude-3-5-sonnet")
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue