LangChain - LangSmith Observability
You want to monitor both the input prompts and the cost of API calls in your LangChain app. Which observability approach best achieves this?
You want to monitor both the input prompts and the cost of API calls in your LangChain app. Which observability approach best achieves this?
hard📝 state output Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Identify observability needs
You want to see input prompts and monitor API call costs (token usage).Step 2: Match callback events to needs
on_llm_start can log prompts; on_llm_end can provide token usage info for cost tracking.Step 3: Evaluate options
Use a callback handler that logs prompts on on_llm_start and tracks token usage on on_llm_end. covers both prompt logging and cost monitoring via callbacks, which fits best.Final Answer:
Use a callback handler that logs prompts on on_llm_start and tracks token usage on on_llm_end. -> Option AQuick Check:
Callbacks on start/end = prompt + cost tracking [OK]
Quick Trick: Use callbacks on start and end to log prompts and costs [OK]
Common Mistakes:
MISTAKES- Ignoring callbacks and using print statements only
- Logging only outputs misses input and cost info
- Tracking only errors misses prompt and cost data
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