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Finding possible integrations #46

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1 of 6 tasks
ogzhanolguncu opened this issue Aug 12, 2024 · 5 comments
Open
1 of 6 tasks

Finding possible integrations #46

ogzhanolguncu opened this issue Aug 12, 2024 · 5 comments
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enhancement New feature or request

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@ogzhanolguncu
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ogzhanolguncu commented Aug 12, 2024

There are a few LLM observability tools we can integrate, but we need to check their feasibility first. For now, we can start with:

  • LangSmith
  • Promptlayer
  • LLMonitor
  • Langfuse
  • Guardrails AI
  • PromptTest

Any PR that includes these tools is welcome.

@ogzhanolguncu ogzhanolguncu added the enhancement New feature or request label Aug 12, 2024
@Iamsidar07
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@ogzhanolguncu Should we implement these in the example code or the source code? I want to clarify where they should be integrated.

@ogzhanolguncu
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Well, I already finished Langsmith. Most of the products above are analytic tools so we should extend our SDK with those. Right now whenever we initialize a model we do this:

const ragChat = new RAGChat({
    vector,
    model: upstash("meta-llama/Meta-Llama-3-8B-Instruct", {
      analytics: { name: "langsmith", token: "XXX" },
    }),
  });

We just need to add some more. At least check its feasibility.

@umutbozdag
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Hi @ogzhanolguncu, what do you think about integrating Cloudflare Gateway AI?

I think we can implement it within the same way that you implemented LangSmith for observability.

@ogzhanolguncu
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I agree. Feel free to give it a try.

@umutbozdag
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I have opened a PR for it @ogzhanolguncu. Can you please check? #58

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