惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
LangChain Blog
月光博客
月光博客
S
SegmentFault 最新的问题
博客园 - 三生石上(FineUI控件)
Last Week in AI
Last Week in AI
J
Java Code Geeks
酷 壳 – CoolShell
酷 壳 – CoolShell
TaoSecurity Blog
TaoSecurity Blog
V
Visual Studio Blog
博客园 - 叶小钗
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Threat Research - Cisco Blogs
罗磊的独立博客
雷峰网
雷峰网
T
Tor Project blog
L
LINUX DO - 最新话题
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 司徒正美
Apple Machine Learning Research
Apple Machine Learning Research
Scott Helme
Scott Helme
Spread Privacy
Spread Privacy
C
CERT Recently Published Vulnerability Notes
腾讯CDC
Cloudbric
Cloudbric
WordPress大学
WordPress大学
Security Archives - TechRepublic
Security Archives - TechRepublic
V
V2EX
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
N
News and Events Feed by Topic
T
Troy Hunt's Blog
T
Threatpost
C
Check Point Blog
Vercel News
Vercel News
I
Intezer
Engineering at Meta
Engineering at Meta
C
Cybersecurity and Infrastructure Security Agency CISA
D
DataBreaches.Net
SecWiki News
SecWiki News
Help Net Security
Help Net Security
Microsoft Azure Blog
Microsoft Azure Blog
Google DeepMind News
Google DeepMind News
S
Secure Thoughts
T
The Blog of Author Tim Ferriss
The GitHub Blog
The GitHub Blog
Hacker News: Ask HN
Hacker News: Ask HN
AI
AI
N
News and Events Feed by Topic
阮一峰的网络日志
阮一峰的网络日志
B
Blog RSS Feed
Attack and Defense Labs
Attack and Defense Labs

Replicate's changelog

Agent skills for Replicate – Replicate changelog Fallback model for Nano Banana Pro – Replicate changelog MCP server auto-discovery – Replicate changelog Filter predictions by source – Replicate changelog The little things, week ending December 19, 2025 – Replicate changelog The little things, week ending December 5, 2025 – Replicate changelog The little things, week ending November 21, 2025 – Replicate changelog Code mode for Replicate's MCP server – Replicate changelog The little things, week ending November 7, 2025 – Replicate changelog Deployment setup monitoring – Replicate changelog The little things, week ending October 24, 2025 – Replicate changelog Set deadlines for predictions – Replicate changelog The little things, week ending October 10, 2025 – Replicate changelog Download invoices from billing settings – Replicate changelog Sort models by creation date via API – Replicate changelog Update model metadata via API – Replicate changelog The little things, week ending September 26, 2025 – Replicate changelog New search API, now in beta – Replicate changelog The little things, week ending September 12, 2025 – Replicate changelog Torch compile caching – Replicate changelog The little things, week ending August 29, 2025 – Replicate changelog The little things, week ending August 14, 2025 – Replicate changelog Run all models with the same API endpoint – Replicate changelog The little things, week ending August 1, 2025 – Replicate changelog Purchase prepaid credit – Replicate changelog Introducing a new Cog runtime – Replicate changelog The little things, week ending July 18, 2025 – Replicate changelog The little things, week ending July 4, 2025 – Replicate changelog Set a monthly spend limit deprecated – Replicate changelog See up to 24 hours of data on deployment metric graphs – Replicate changelog The little things, week ending June 20, 2025 – Replicate changelog Environment variables in running containers – Replicate changelog Slimmer API responses for model metadata – Replicate changelog The little things, week ending June 6, 2025 – Replicate changelog Faster, cheaper Flux training – Replicate changelog The little things, week ending May 23, 2025 – Replicate changelog Streaming text support in the playground – Replicate changelog Web URLs now in prediction objects – Replicate changelog Iterate in playground with audio support – Replicate changelog NVIDIA H100 GPUs now available – Replicate changelog More by this user – Replicate changelog The little things, week ending May 9, 2025 – Replicate changelog Copy docs directly to your LLM – Replicate changelog The little things, week ending April 25, 2025 – Replicate changelog The little things, week ending March 28, 2025 – Replicate changelog Simplified organizations – Replicate changelog The little things, week ending March 14, 2025 – Replicate changelog The little things, week ending February 28, 2025 – Replicate changelog Better prediction list – Replicate changelog The little things, week ending February 14, 2025 – Replicate changelog The little things, week ending January 31, 2025 – Replicate changelog Official models – Replicate changelog The little things, week ending January 17, 2025 – Replicate changelog The little things, week ending December 20, 2024 – Replicate changelog Language model training no longer supported – Replicate changelog GPU memory monitoring – Replicate changelog The little things, week ending December 06, 2024 – Replicate changelog The little things, week ending November 22, 2024 – Replicate changelog The little things, week ending November 8, 2024 – Replicate changelog A fond farewell to Python 3.7 – Replicate changelog The little things, week ending October 25, 2024 – Replicate changelog Dark mode – Replicate changelog Playground (beta) – Replicate changelog New documentation – Replicate changelog Large log outputs might be truncated – Replicate changelog Time limit for sharing predictions – Replicate changelog View training outputs on the web – Replicate changelog API for searching public models – Replicate changelog Streams always available, stream parameter deprecated – Replicate changelog Secret inputs for models – Replicate changelog Disable API tokens – Replicate changelog RSS and Atom feeds – Replicate changelog Delete stuff – Replicate changelog Docs and client library support for webhook verification – Replicate changelog Search for deployments – Replicate changelog Webhooks activity UI – Replicate changelog Improved validation for API prediction payloads – Replicate changelog T4 models now have more RAM – Replicate changelog GitHub secret scanning – Replicate changelog Bearer tokens – Replicate changelog Deployments API – Replicate changelog 3D viewer for GLB outputs – Replicate changelog Task-oriented collections – Replicate changelog Webhook verification – Replicate changelog Fine-tune SDXL from the web – Replicate changelog Compare image inputs to outputs – Replicate changelog Code snippets for every prediction – Replicate changelog API for creating models – Replicate changelog Improved training detail pages – Replicate changelog Prediction parameters as JSON – Replicate changelog API for listing public models – Replicate changelog Deployments – Replicate changelog Prediction query parameter – Replicate changelog Fullscreen training logs – Replicate changelog Dynamic status favicons – Replicate changelog Streaming output for language models – Replicate changelog Multiple API tokens for users – Replicate changelog A40 GPUs now available – Replicate changelog Hardware and pricing for trainable models – Replicate changelog Training API for language models – Replicate changelog
Synchronous API – Replicate changelog
2024-10-10 · via Replicate's changelog

Our client libraries and API are now much faster at running models, particularly if a file is being returned.

The API now returns the response immediately. Before, you would have to poll to get the result.

If you’re using the Node.js or Python client libraries, you don’t have to worry about this. Upgrade to the latest version and it gets faster. Also, instead of returning HTTP URLs, they now return file objects, which helps you write them to storage or pass to HTTP responses.

Node.js

Install the beta version of the client library:

Then run the model:

Python

Update the client library:

Then run the model:

The client libraries returning file objects is a breaking change so be careful when you upgrade your apps.

HTTP API

If you’re using the HTTP API for models or deployments, you can now pass the header Prefer: wait, which will keep the connection open until the prediction has finished:

Output:

By default it will wait 60 seconds before returning the in-progress prediction. You can adjust that by passing a time, like Prefer: wait=10 to wait 10 seconds.

Take a look at the docs on creating a prediction for more details.