Deepankar Mahapatro

Results 18 issues of Deepankar Mahapatro

Great work with quivr! Right now, there are no options provided to deploy quivr APIs on Cloud. This would need a bunch of work and cloud expertise. **Proposed Solution** Allow...

Great work with SuperAGI! This issue is to enhance SuperAGI by allowing deployment options on [langchain-serve](https://github.com/jina-ai/langchain-serve). It has the following features and is very easy to work with. - [Bring...

feature request

Repo - [langchain-serve](https://github.com/jina-ai/langchain-serve). - Exposes APIs from function definitions locally as well as on the cloud. - Very few lines of code changes and ease of development remain the same...

enhancement

Integrate with [langchain-serve](https://github.com/jina-ai/langchain-serve) to publish as a REST/Websocket API

Repo - [langchain-serve](https://github.com/jina-ai/langchain-serve) - Exposes APIs from function definitions locally as well as on the cloud. - Very few lines of code changes, ease of development remains the same as...

Use [langchain-serve](https://github.com/jina-ai/langchain-serve) to expose yaegerai-agent as an API to enable integration with external services.

**Is your feature request related to a problem? Please describe.** `openinference-instrumentation-anthropic` currently instruments 4 methods `Completions.create`, `AsyncCompletions.create`, `Messages.create`, `AsyncMessages.create`. There's also another commonly used [`stream` method](https://github.com/anthropics/anthropic-sdk-python/blob/8b244157a7d03766bec645b0e1dc213c6d462165/src/anthropic/resources/messages/messages.py#L981) that doesn't call `create`,...

enhancement
instrumentation: anthropic