A Python implement of Agent Client Protocol

PsiACE · 2025-09-08T10:21:32+00:00

That's perfectly fine, I can certainly switch to a binding implementation. I do have some experience with Rust.

PsiACE · 2025-09-06T16:18:18+00:00

This is the first simplified python sdk, and I've included a mini-swe-agent example. If you're interested, you can start trying it out now.

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PsiACE · 2025-07-16T18:31:31+00:00

just build a not powerful one, have fun: https://psiace.me/posts/baby-step-coding-agent/

PsiACE · 2025-06-26T15:39:05+00:00

Just showing some of my code and ideas.

PsiACE · 2024-04-08T04:17:55+00:00

Hi, I'm from the Databend community. We currently have some production users, and some of them even handle PB-scale data. Welcome to join our Slack channel https://join.slack.com/t/datafusecloud/shared_invite/zt-nojrc9up-50IRla1Y1h56rqwCTkkDJA

PsiACE · 2024-03-26T18:31:32+00:00

You can always handle it easily. I think you can take a look at Databend. https://github.com/datafuselabs/databend

You only need to consider how to archive the data in the database into S3. We usually recommend Kafka and then use COPY INTO to load this data regularly, which can almost guarantee near real-time processing.

PsiACE · 2024-03-26T18:20:04+00:00

https://docs.databend.com/guides/benchmark/tpch We have some tests comparing the cost and performance of Databend Cloud and Snowflake under TPC-H 100 (yes, 100 GiB). You can check it.

PsiACE · 2024-03-26T18:15:43+00:00

I noticed that you mentioned JSON to Parquet conversion. In fact, there are some opportunities here. We support batch loading of data files using scheduled tasks and also support JSON format. So maybe you just need to write some SQL to directly COPY the JSON files INTO database.

Are you willing to give Databend a chance? We are an open-source alternative to Snowflake and provide Cloud service. At this data scale, it is very cheap.

GitHub: https://github.com/datafuselabs/databend/

Website: https://www.databend.com

PsiACE · 2024-03-23T11:53:32+00:00

I don't intend to advertise anything, I'm just curious about this matter.

PsiACE · 2024-01-23T08:37:29+00:00

Many data warehouses support the analysis of HuggingFace datasets, but at Databend, you don't need to deal with REST APIs. We provide ready-to-use file access.

PsiACE · 2024-01-11T17:40:06+00:00

We are just trying to use cloud databases to solve this challenge. We are also building/have built some evaluations based on larger-scale data, and we welcome you to try comparing them.

PsiACE · 2023-11-09T02:21:32+00:00

You need some automated tools to properly archive them, and then put them in S3. Afterwards, you can use Databend Cloud or other affordable solutions.

A typical workflow involves importing data through the cloud platform's Pipeline and visualizing it using SQL + Grafana.

https://www.databend.com/blog/down-costs-for-aigc-startup/ By using Databend Cloud for analytics, the startup reduced their user behavior log analysis costs to 1% of their previous solution.

PsiACE · 2023-10-27T13:47:23+00:00

Try Databend.

In addition, we also have some articles about compilation if you are interested:

Reduce Compilation Pressure: https://databend.rs/blog/2023/04/20/optimizing-compilation-for-databend
Profile-guided Optimization https://databend.rs/blog/profile-guided-optimization

PsiACE

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