Pritam
@Pritam_Awatade
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build fail rebuild. https://t.co/d8kzwukdkp Turning idea to code and code to product building https://t.co/7dMGgfRRRU
Joined December 2023
ooh yeah!!! crossed 85+ users crossed 100+ commits crossed 80+ upvoted building https://t.co/iOvVCZU4YO turning out to be fun
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Its's crazy good!
You can now design directly in your codebase. Select elements, modify them visually, and Cursor writes the code.
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Subscribe now!
If I hit 1M at chaicode YT within December, I will pick a user from subscribers and you can pick any laptop that you want of any price range (readily available in India). Hanji, jo mn kre vo MacBook ya Windows giveaway krenge, agr December me complete hua to. Randomly b pick
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💯
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Install now!
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Now what is local context? Local context is something that your code can access during run time. data, dependencies or data needed by tools, callbacks. Eg: const result = await run(agent, 'What is the age of the user?', { context: userInfo, });
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You can use that conversationId to manage your conversations. const first = await run(agent, 'What city is the Golden Gate Bridge in?', { conversationId, });
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Traditionally we have to maintain a classic sever + DB combo to store and manage chats between user and LLM. but now we can store the whole conversation on openAI server with close to zero configuration. const { id: conversationId } = await client.conversations.create({});
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Learned about Server conversation and runtime local context in OpenAI agent SDK by @piyushgarg_dev How we can store conversations on the server without Database or any server configurations, How we can give the runtime context to the AI Agent?
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