For most chains you should be able to pass ‘return_intermediate_steps=True’
@hwchase17
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LangSmith Monitoring: Tracking App Usage and User Experience
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We launched monitoring in LangSmith today I've mainly been using for two use cases: Track usage – are people actually using my app? / Track feedback – are changes I introduced leading to a better user experience? Can you spot when we upgraded our app to use an agent?
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Fine-tune Models to Replace GPT-4 Using LangSmith Data
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This is really useful for finetuning models to replace GPT-4 at particular points in your system Log all data flowing through your app to LangSmith Export with some filter (all runs, all runs with positive feedback, etc) to a dataset Finetune a model on this data!
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Llama2 Powers Fun Application on Anyscale Compute
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This is very fun! And – really cool that this is powered by Llama2 on @anyscalecompute
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JavaScript retrieval method support advances
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Excited to see support for this retrieval method make its way to JS!
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Greg Kamradt’s Podcast Host Speaking Style Mimicking Method Webinar
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Very excited to hear @GregKamradt
's method for mimicing a podcast host's speaking style Join us in an hour for what should be a very fun webinar! https://
crowdcast.io/c/lzafugqtyata -

LangSmith Platform Visual Overview Guide
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This is an amazing visual overview of the langsmith platform!
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LangChain Batch Interface Concurrency Optimization Guide
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you can use the `.batch` interface (see here: https://
python.langchain.com/docs/guides/ex
pression_language/interface#batch
…) and set `max_concurrency` to determine the max concurrency (see example of that here: https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/multi_vector#summary
…) -
LangChain Twitter Fine-tuning Example Repository
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example of that here: https://
github.com/langchain-ai/t
witter-finetune
… -

Building Cool Things: New VC-Backed Project Launch
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Finally, a VC Sadly I am heads down for the foreseeable future, building cool things like this