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Releases: assafelovic/gpt-researcher

v3.2.4

10 Mar 06:48
8cbc3d5
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Many bug fixes and performance improvements. We've finally added a research history sidebar to the research tasks! Thank you and welcome to all new contributors!

Sidebar Demo

What's Changed

  • fix: unblock web socket message queue by @ewgdg in #1220
  • perf: load balance nodriver browser scraper tabs by @ewgdg in #1219
  • Fix: image relevance filtering by @czakop in #1215
  • fix: cancel long running task gracefully by @ewgdg in #1221
  • polish npm run build while retaining domain filter setting by @ElishaKay in #1224
  • fix: add langchain-openai to project dependencies (to be safe on edge cases) by @milosz-l in #1227
  • feature: improve JSON parsing in multi agent setting (#1137) by @czakop in #1230
  • fix: resolve failing test in tests/test_logging_output.py by @grapestore in #1238
  • fix: restrict Python version range in pyproject.toml by @grapestore in #1236
  • New Sidebar feature of recent Research History by @assafelovic in #1240
  • Fix KeyError: 'deep' in cli.py by @hd365247 in #1245

New Contributors

Full Changelog: v3.2.3...v3.2.4

SimpleQA Evals and Deep Research 2.0

28 Feb 09:22
37d2b14
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Another exciting week with so much improvements by our amazing community. We're thrilled to announce the latest release of GPT Researcher, now featuring evaluations using the SimpleQA dataset by OpenAI. Our rigorous testing has demonstrated an impressive 93% accuracy rate, surpassing all current leading projects in the market.

This achievement underscores the remarkable capabilities of the open-source community, and we're just getting started! In response to extensive feedback, we've refined our deep research functionalities to be faster, smarter, and more cost-effective, while also addressing previous bugs. Update to the latest version and experience the enhancements firsthand!

Here are results of our latest evals run:

Evaluation Summary

Debug counts:
Total successful: 100
CORRECT: 93
INCORRECT: 7
NOT_ATTEMPTED: 1
{
"correct_rate": 0.93,
"incorrect_rate": 0.07,
"not_attempted_rate": 0.01,
"answer_rate": 0.99,
"accuracy": 0.9292929292929293,
"f1": 0.9246231155778895
}

What's Changed

  • Fix Key Error while using Deep Research by @kongacute in #1188
  • Update requirements.txt with missing langgraph dep by @namin in #1189
  • Fix Docker Build Failure: Updated combined_query in DeepRsearchSkill.run() to Handle Backslashes in F-Strings by @monolok in #1192
  • stabilize docker & frontend upgrades by @ElishaKay in #1191
  • Improved overall planning and research performance by @assafelovic in #1195
  • Added support for base_url param in create_chat_completions for OpenAI Provider by @gaurav3247 in #1198
  • Update llm.py by @olipayne in #1200
  • Fix WebSocket timeout issues by @luislofer89 in #1203
  • fix: Add missing langgraph module to requirements.txt by @hurxxxx in #1207
  • Refactor: typing cleanup by @czakop in #1187
  • add async nodriver scrapper by @ewgdg in #1170
  • Add language requirement to resource report prompt by @hurxxxx in #1208
  • Feature:eval metrics by @kga245 in #1183
  • README for feat(evals): Add SimpleQA evaluation framework and initial results by @kga245 in #1212
  • Polish up loose ends based on feedback by @ElishaKay in #1211

New Contributors

Full Changelog: v3.2.2...v3.2.3

Deep Research now integrated with GPTR! 🎉

24 Feb 06:55
50c3407
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Wow, what a major release this is! We're so excited to release our very own version of Deep Research! Also, this release has so many performance improvements including a new integration with FireCrawl for production scraping!

🎉 Announcing Deep Research for GPT Researcher

We're thrilled to announce the release of Deep Research - a powerful new capability for GPT Researcher that takes autonomous research to the next level!

What is Deep Research?

Deep Research is an advanced recursive research system that explores topics with unprecedented depth and breadth using a tree-like exploration pattern. Think of it as deploying a team of specialized AI researchers, each diving deep into different aspects of your topic while maintaining a cohesive understanding of the bigger picture.

Key Features

  • 🌳 Tree-like Exploration: Configurable depth and breadth parameters let you control how wide and deep the research goes
  • ⚡️ Concurrent Processing: Multiple research paths are explored simultaneously for faster results
  • 🤝 Smart Context Management: Automatic aggregation and synthesis of findings across all research branches
  • 📊 Real-time Progress Tracking: Monitor your research progress across both breadth and depth dimensions

Performance & Resources

  • ⏱️ Average completion time: ~5 minutes per deep research
  • 💰 Cost-effective: ~$0.4 per research using o3-mini on "high" reasoning effort
  • 🎯 Produces comprehensive reports with multiple perspectives and deeper insights

Getting Started

Deep Research is available now in the latest version of GPT Researcher. You can enable it by:

  1. Using the PIP package with report_type="deep"
  2. Selecting "Deep Research" in the web interface
  3. Configuring custom parameters through environment variables or config files

Documentation

For detailed information about Deep Research, including configuration options and best practices, visit our Deep Research documentation.

Try it out today and experience a new level of autonomous research capability!

What's Changed

New Contributors

Full Changelog: v3.2.1...v3.2.2


Join our Discord community to share your experience and feedback. :-)

v3.2.1

15 Feb 14:03
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With the latest Deep Research hype - which you all know is actually what GPTR is all about already two years ago :), we've added support for reasoning models across the entire research workflow, including support for more deeper research. You can now easily add the following env vars to GPTR for a Deep Research experience!

ray-so-export (1)

What's Changed

New Contributors

Full Changelog: v3.2.0...v3.2.1

v3.2.0

12 Feb 06:38
e916b63
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This release is focused on many performance improvements and bug fixes, making GPT Researcher more powerful than before. With the release of Deep Research, we've been hands down fixing and improving performance to sustain our position as the leading open deep research. Thanks and welcome to all the new contributors who helped push GPTR further!

What's Changed

New Contributors

Full Changelog: v3.1.9...v3.2.0

v3.1.9

28 Jan 08:06
967deb9
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What's Changed

New Contributors

Full Changelog: v3.1.8...v3.1.9

v3.1.8

05 Jan 10:05
079be67
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Adding support for LiteLLM as a generic LLM provider. In addition we now support DeepSeek!

What's Changed

New Contributors

Full Changelog: v.3.1.7...v3.1.8

v.3.1.7

29 Dec 06:40
eae2cde
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This week includes another iteration on major performance improvements from our amazing community. Thanks to @kga245 for the awesome contribution, rebuilding the entire log handler for more robust capabilities. We've also added support for Tavily Extract that solves scale for developers shipping GPT Researcher in production. Tavily Extract allows to scrape any site at scale without getting blocked by site providers or dealing with the hassle of proxies, etc. Thank you to the best community on Github and looking forward to your next contributions. And like always welcome to our new contributors!

What's Changed

New Contributors

Full Changelog: v3.1.6...v.3.1.7

v3.1.6

22 Dec 06:35
9c55fce
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Another release of performance improvements and bug fixes. Welcome @kga245 as a new contributor with a super valuable contribution and special shoutout again to @winsonluk for helping improve GPTR's stability!

What's Changed

New Contributors

Full Changelog: v3.1.5...v3.1.6

v3.1.5

14 Dec 07:17
c7b18fd
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Welcome to all the new contributors and special shoutout to @winsonluk! This release includes critical bug fixes and improvements to report quality such as ranking sources and content before generation. This release is recommended for all!

What's Changed

New Contributors

Full Changelog: v3.1.4...v3.1.5