feat: upgrade MiniMax default model to M3#1080
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- Add MiniMax-M3 to the model selection list (524288 context window) - Set MiniMax-M3 as the new default model (first in the dict) - Retain MiniMax-M2.7 and MiniMax-M2.7-highspeed as legacy options - Remove deprecated older versions (M2.5 / M2.5-highspeed / M2 / M1 / M1-40k) - Update unit tests to reflect the new default and removed models
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## [2.2.0-beta.2](v2.2.0-beta.1...v2.2.0-beta.2) (2026-06-01) ### Features * upgrade MiniMax default model to M3 ([#1080](#1080)) ([1b16c26](1b16c26))
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* feat: add OpenAI Batch API support for SmartScraperMultiGraph (#1036) Add SmartScraperMultiBatchGraph that uses the OpenAI Batch API for LLM calls, providing ~50% cost savings when real-time results aren't needed. Key features: - SmartScraperMultiBatchGraph: 3-phase pipeline (fetch/parse → batch submit → merge) that separates HTML fetching from LLM generation - BatchGenerateAnswerNode: collects prompts from all URLs and submits them as a single OpenAI Batch API request - utils/batch_api.py: helpers for creating, polling, and retrieving batch results with doc_id → URL mapping - Per-document error handling: partial failures don't break the batch - Configurable polling interval and max wait time - OpenAI-only validation (rejects non-OpenAI providers gracefully) - Results sorted by custom_id for consistent ordering - 18 unit tests with 100% pass rate Usage: graph = SmartScraperMultiBatchGraph( prompt='Extract key points', source=['https://url1.com', 'https://url2.com'], config={'llm': {'model': 'openai/gpt-4o-mini'}} ) result = graph.run() Closes #1036 * ci(release): 1.60.0-beta.2 [skip ci] ## [1.60.0-beta.2](v1.60.0-beta.1...v1.60.0-beta.2) (2026-02-24) ### Features * add OpenAI Batch API support for SmartScraperMultiGraph ([#1036](#1036)) ([9d4eba1](9d4eba1)) * fix: update broken test imports to match current API - Replace removed ScrapeGraph with SmartScraperGraph in scrape_graph_test.py - Replace renamed convert_to_csv/convert_to_json with export_to_csv/export_to_json in xml_scraper_openai_test.py * ci(release): 1.60.0-beta.3 [skip ci] ## [1.60.0-beta.3](v1.60.0-beta.2...v1.60.0-beta.3) (2026-03-15) ### Bug Fixes * update broken test imports to match current API ([536e5ad](536e5ad)) * ci(release): 1.76.0-beta.1 [skip ci] ## [1.76.0-beta.1](v1.75.1...v1.76.0-beta.1) (2026-04-07) ### Features * add OpenAI Batch API support for SmartScraperMultiGraph ([#1036](#1036)) ([9d4eba1](9d4eba1)) ### Bug Fixes * update broken test imports to match current API ([536e5ad](536e5ad)) ### CI * **release:** 1.60.0-beta.2 [skip ci] ([54d1473](54d1473)), closes [#1036](#1036) * **release:** 1.60.0-beta.3 [skip ci] ([637c696](637c696)) * reduce GitHub Actions costs by ~85% on PRs ([403080a](403080a)) * ci(release): 2.1.0-beta.1 [skip ci] ## [2.1.0-beta.1](v2.0.0...v2.1.0-beta.1) (2026-04-19) ### Features * add OpenAI Batch API support for SmartScraperMultiGraph ([#1036](#1036)) ([9d4eba1](9d4eba1)) ### Bug Fixes * update broken test imports to match current API ([536e5ad](536e5ad)) ### CI * **release:** 1.60.0-beta.2 [skip ci] ([54d1473](54d1473)), closes [#1036](#1036) * **release:** 1.60.0-beta.3 [skip ci] ([637c696](637c696)) * **release:** 1.76.0-beta.1 [skip ci] ([35ec272](35ec272)), closes [#1036](#1036) [#1036](#1036) * Add Italian README translation and fix outdated links (#1070) * fix(batch): use langchain_core.prompts for PromptTemplate import langchain 1.x removed langchain.prompts; import from langchain_core to fix ModuleNotFoundError causing all test collection to fail. * ci(release): 2.2.0-beta.1 [skip ci] ## [2.2.0-beta.1](v2.1.1...v2.2.0-beta.1) (2026-05-16) ### Features * add OpenAI Batch API support for SmartScraperMultiGraph ([#1036](#1036)) ([9d4eba1](9d4eba1)) ### Bug Fixes * update broken test imports to match current API ([536e5ad](536e5ad)) * **batch:** use langchain_core.prompts for PromptTemplate import ([24127da](24127da)) ### CI * **release:** 1.60.0-beta.2 [skip ci] ([54d1473](54d1473)), closes [#1036](#1036) * **release:** 1.60.0-beta.3 [skip ci] ([637c696](637c696)) * **release:** 1.76.0-beta.1 [skip ci] ([35ec272](35ec272)), closes [#1036](#1036) [#1036](#1036) * **release:** 2.1.0-beta.1 [skip ci] ([a2ea9eb](a2ea9eb)), closes [#1036](#1036) [#1036](#1036) [#1036](#1036) [#1036](#1036) * feat: upgrade MiniMax default model to M3 (#1080) - Add MiniMax-M3 to the model selection list (524288 context window) - Set MiniMax-M3 as the new default model (first in the dict) - Retain MiniMax-M2.7 and MiniMax-M2.7-highspeed as legacy options - Remove deprecated older versions (M2.5 / M2.5-highspeed / M2 / M1 / M1-40k) - Update unit tests to reflect the new default and removed models * ci(release): 2.2.0-beta.2 [skip ci] ## [2.2.0-beta.2](v2.2.0-beta.1...v2.2.0-beta.2) (2026-06-01) ### Features * upgrade MiniMax default model to M3 ([#1080](#1080)) ([1b16c26](1b16c26)) * ci(release): 2.2.0-beta.3 [skip ci] ## [2.2.0-beta.3](v2.2.0-beta.2...v2.2.0-beta.3) (2026-06-01) ### Bug Fixes * **nodes:** update outdated ChatOllama import path to langchain_ollama ([#1076](#1076)) ([e6054cb](e6054cb)) ### Docs * 📚 Standardize and fix links across translated READMEs ([#1074](#1074)) ([458d36a](458d36a)) ### CI * **release:** 2.1.2 [skip ci] ([210c992](210c992)), closes [#1076](#1076) [#1074](#1074) --------- Co-authored-by: MrAliHasan <mrali.hassan997@gmail.com> Co-authored-by: semantic-release-bot <semantic-release-bot@martynus.net> Co-authored-by: khadyottakale <khadyottakale@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Gabriele Maria Bellavia <gabriele.bellavia.m@gmail.com> Co-authored-by: Octopus <liyuan851277048@icloud.com>
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Summary
Upgrade MiniMax model configuration to include the latest M3 model as the new default.
Changes
MiniMax-M3to theminimaxmodel list (524,288 context window)MiniMax-M3as the new default (first entry in the dict, which is also whatabstract_graph._create_llmpicks up viamodels_tokenslookup)MiniMax-M2.7andMiniMax-M2.7-highspeedas legacy optionsMiniMax-M2.5,MiniMax-M2.5-highspeed,MiniMax-M2,MiniMax-M1,MiniMax-M1-40k)tests/test_minimax_models.pyto reflect the new default and the removed modelsWhy
MiniMax-M3 is the new flagship model with a 512K context window and 128K max output, available through the same OpenAI-compatible endpoint already wired into
scrapegraphai/models/minimax.py. Bumping the default keeps users on the current generation while keeping M2.7 around for anyone pinned to it.Testing
tests/test_minimax_models.pyagainst the updatedmodels_tokensdict — all 5 pass.minimaxwrapper,abstract_graphregistration, or the docs/README mention (which is version-agnostic).