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https://github.com/qodo-ai/pr-agent.git
synced 2025-07-02 03:40:38 +08:00
Add and document abilty to use LiteLLM Logging Observability tools
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@ -91,3 +91,24 @@ user="""
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"""
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```
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Note that the new prompt will need to generate an output compatible with the relevant [post-process function](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/tools/pr_description.py#L137).
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## Integrating with Logging Observability Platforms
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Various logging observability tools can be used out-of-the box when using the default LiteLLM AI Handler. Simply configure the LiteLLM callback settings in `configuration.toml` and set environment variables according to the LiteLLM [documentation](https://docs.litellm.ai/docs/).
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For example, to use [LangSmith](https://www.langchain.com/langsmith) you can add the following to your `configuration.toml` file:
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```
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[litellm]
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...
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success_callback = ["langsmith"]
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failure_callback = ["langsmith"]
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service_callback = []
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```
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Then set the following environment variables:
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```
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LANGSMITH_API_KEY=<api_key>
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LANGSMITH_PROJECT=<project>
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LANGSMITH_BASE_URL=<url>
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```
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@ -1,10 +1,10 @@
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import os
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import requests
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import boto3
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import litellm
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import openai
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from litellm import acompletion
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from tenacity import retry, retry_if_exception_type, stop_after_attempt
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from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
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from pr_agent.config_loader import get_settings
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from pr_agent.log import get_logger
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@ -44,6 +44,12 @@ class LiteLLMAIHandler(BaseAiHandler):
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litellm.use_client = True
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if get_settings().get("LITELLM.DROP_PARAMS", None):
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litellm.drop_params = get_settings().litellm.drop_params
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if get_settings().get("LITELLM.SUCCESS_CALLBACK", None):
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litellm.success_callback = get_settings().litellm.success_callback
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if get_settings().get("LITELLM.FAILURE_CALLBACK", None):
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litellm.failure_callback = get_settings().litellm.failure_callback
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if get_settings().get("LITELLM.SERVICE_CALLBACK", None):
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litellm.service_callback = get_settings().litellm.service_callback
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if get_settings().get("OPENAI.ORG", None):
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litellm.organization = get_settings().openai.org
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if get_settings().get("OPENAI.API_TYPE", None):
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@ -90,27 +96,56 @@ class LiteLLMAIHandler(BaseAiHandler):
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return response_log
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def add_litellm_callbacks(selfs, kwargs) -> dict:
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pr_metadata = []
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captured_extra = []
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def capture_logs(message):
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# Parsing the log message and context
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record = message.record
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log_entry = {}
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if record.get('extra', {}).get('command', None) is not None:
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if record.get('extra', None).get('command', None) is not None:
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log_entry.update({"command": record['extra']["command"]})
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if record.get('extra', {}).get('pr_url', None) is not None:
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log_entry.update({"pr_url": record['extra']["pr_url"]})
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# Append the log entry to the captured_logs list
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pr_metadata.append(log_entry)
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captured_extra.append(log_entry)
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# Adding the custom sink to Loguru
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handler_id = get_logger().add(capture_logs)
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get_logger().debug("Capturing logs for litellm callbacks")
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get_logger().remove(handler_id)
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context = captured_extra[0] if len(captured_extra) > 0 else None
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command = context.get("command", "unknown")
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pr_url = context.get("pr_url", "unknown")
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git_provider = get_settings().config.git_provider
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metadata = dict()
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callbacks = litellm.success_callback + litellm.failure_callback + litellm.service_callback
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if "langfuse" in callbacks:
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metadata.update({
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"trace_name": command,
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"tags": [git_provider, command],
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"trace_metadata": {
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"command": command,
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"pr_url": pr_url,
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},
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})
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if "langsmith" in callbacks:
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metadata.update({
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"run_name": command,
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"tags": [git_provider, command],
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"extra": {
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"metadata": {
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"command": command,
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"pr_url": pr_url,
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}
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},
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})
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# Adding the captured logs to the kwargs
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kwargs["metadata"] = pr_metadata
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kwargs["metadata"] = metadata
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return kwargs
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@ -265,6 +265,9 @@ pr_commands = [
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# use_client = false
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# drop_params = false
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enable_callbacks = false
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success_callback = []
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failure_callback = []
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service_callback = []
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[pr_similar_issue]
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skip_comments = false
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