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DOCS: Fix typo/line break in python code (#13708)

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h3l
2023-11-23 01:10:07 +08:00
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templates/chat-bot-feedback/README.md
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@@ -26,8 +26,7 @@ As shown, the evaluator sees that the user is increasingly frustrated, indicatin
The user feedback is inferred by custom `RunEvaluator`. This evaluator is called using the `EvaluatorCallbackHandler`, which run it in a separate thread to avoid interfering with the chat bot's runtime. You can use this custom evaluator on any compatible chat bot by calling the following function on your LangChain object: The user feedback is inferred by custom `RunEvaluator`. This evaluator is called using the `EvaluatorCallbackHandler`, which run it in a separate thread to avoid interfering with the chat bot's runtime. You can use this custom evaluator on any compatible chat bot by calling the following function on your LangChain object:
```python ```python
my_chain my_chain.with_config(
.with_config(
callbacks=[ callbacks=[
EvaluatorCallbackHandler( EvaluatorCallbackHandler(
evaluators=[ evaluators=[
@@ -35,7 +34,7 @@ my_chain
] ]
) )
], ],
) )
``` ```
The evaluator instructs an LLM, specifically `gpt-3.5-turbo`, to evaluate the AI's most recent chat message based on the user's followup response. It generates a score and accompanying reasoning that is converted to feedback in LangSmith, applied to the value provided as the `last_run_id`. The evaluator instructs an LLM, specifically `gpt-3.5-turbo`, to evaluate the AI's most recent chat message based on the user's followup response. It generates a score and accompanying reasoning that is converted to feedback in LangSmith, applied to the value provided as the `last_run_id`.