You can group LLM logs together by using the group_identifier parameter in the request body. This is useful when you want to group logs together for a specific user or a specific task.
You can group logs by using the group_identifier parameter in the request body.
from openai import OpenAIclient = OpenAI( base_url="https://api.keywordsai.co/api/", api_key="YOUR_KEYWORDSAI_API_KEY",)response = client.chat.completions.create( model="gpt-4o-mini", messages=[{"role":"user","content":"Tell me a long story"}], extra_body={"group_identifier":"group_123"})
from openai import OpenAIclient = OpenAI( base_url="https://api.keywordsai.co/api/", api_key="YOUR_KEYWORDSAI_API_KEY",)response = client.chat.completions.create( model="gpt-4o-mini", messages=[{"role":"user","content":"Tell me a long story"}], extra_body={"group_identifier":"group_123"})
import requestsurl ="https://api.keywordsai.co/api/request-logs/create/"payload ={"model":"claude-3-5-sonnet-20240620","prompt_messages":[{"role":"user","content":"Hi"},],"completion_message":{"role":"assistant","content":"Hi, how can I assist you today?"},"group_identifier":"group_123"# ... other parameters}headers ={"Authorization":"Bearer YOUR_KEYWORDS_AI_API_KEY","Content-Type":"application/json"}response = requests.request("POST", url, headers=headers, json=payload)
