forked from phoenix/litellm-mirror
headers and custom gateway
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parent
c99a5a58ec
commit
2c9560239a
2 changed files with 50 additions and 2 deletions
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@ -4,11 +4,12 @@ import dotenv, os
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import requests # type: ignore
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import litellm
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import traceback
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from litellm._logging import verbose_logger
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class HeliconeLogger:
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# Class variables or attributes
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helicone_model_list = ["gpt", "claude"]
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helicone_model_list = ["gpt", "claude", "command-r", "command-r-plus", "command-light", "command-medium", "command-medium-beta", "command-xlarge-nightly", "command-nightly "]
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def __init__(self):
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# Instance variables
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@ -37,15 +38,58 @@ class HeliconeLogger:
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}
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return claude_provider_request, claude_response_obj
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@staticmethod
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def add_metadata_from_header(litellm_params: dict, metadata: dict) -> dict:
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"""
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Adds metadata from proxy request headers to Helicone logging if keys start with "helicone_"
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and overwrites litellm_params.metadata if already included.
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For example if you want to add custom property to your request, send
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`headers: { ..., helicone-property-something: 1234 }` via proxy request.
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"""
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if litellm_params is None:
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return metadata
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if litellm_params.get("proxy_server_request") is None:
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return metadata
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if metadata is None:
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metadata = {}
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proxy_headers = (
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litellm_params.get("proxy_server_request", {}).get("headers", {}) or {}
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)
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for metadata_param_key in proxy_headers:
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if metadata_param_key.startswith("helicone_"):
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trace_param_key = metadata_param_key.replace("helicone_", "", 1)
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if trace_param_key in metadata:
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verbose_logger.warning(
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f"Overwriting Helicone `{trace_param_key}` from request header"
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)
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else:
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verbose_logger.debug(
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f"Found Helicone `{trace_param_key}` in request header"
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)
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metadata[trace_param_key] = proxy_headers.get(metadata_param_key)
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return metadata
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def log_success(
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self, model, messages, response_obj, start_time, end_time, print_verbose
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self, model, messages, response_obj, start_time, end_time, print_verbose, kwargs
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):
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# Method definition
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try:
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print_verbose(
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f"Helicone Logging - Enters logging function for model {model}"
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)
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litellm_params = kwargs.get("litellm_params", {})
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litellm_call_id = kwargs.get("litellm_call_id", None)
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metadata = (
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litellm_params.get("metadata", {}) or {}
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)
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metadata = self.add_metadata_from_header(litellm_params, metadata)
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model = (
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model
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if any(
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@ -73,6 +117,8 @@ class HeliconeLogger:
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# Code to be executed
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url = "https://api.hconeai.com/oai/v1/log"
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if model.startswith("command"):
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url = "https://api.hconeai.com/custom/v1/log"
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headers = {
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"Authorization": f"Bearer {self.key}",
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"Content-Type": "application/json",
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@ -807,6 +807,7 @@ class Logging:
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print_verbose("reaches helicone for logging!")
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model = self.model
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messages = self.model_call_details["input"]
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kwargs = self.model_call_details
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heliconeLogger.log_success(
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model=model,
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messages=messages,
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@ -814,6 +815,7 @@ class Logging:
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start_time=start_time,
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end_time=end_time,
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print_verbose=print_verbose,
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kwargs=kwargs,
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)
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if callback == "langfuse":
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global langFuseLogger
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