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3.1.3

stanford-oval/storm3.1.3Feb 5, 2026by okhat

AI Summary

This release focuses on stability improvements for Reasoning Language Models (RLMs) and CodeInterpreter, addressing issues with imports, variable injection, and response parsing. It also updates GEPA dependencies to support Python 3.14 and introduces new documentation.

Key Highlights

  • Fixed RLM issues: large variable injection, import blocking, and dict response handling
  • Converted CodeInterpreter messaging format to JSONRPC
  • Updated GEPA dependencies for Python 3.14 support and cached evals
  • Fixed ColBERTv2 error handling and streaming request headers
  • Added community ports page to documentation

New Features

  • CodeInterpreter messaging format conversion to JSONRPC
  • GEPA dependency update adding cached evals support
  • Exposure of community ports documentation

Full Release Notes

## What's Changed

RLMs
* fix(interpreter): Fix enable_read_paths with multiple files by @missing-piece in https://github.com/stanfordnlp/dspy/pull/9256
* fix: handle dict response in RLM for reasoning models by @darinkishore in https://github.com/stanfordnlp/dspy/pull/9219
* feat(CodeInterpreter): Convert messaging format to JSONRPC by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9226
* feat(RLMs): Fix code fence parsing by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9231
* fix(RLM): large variable injection by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9233
* fix(RLM): no longer get stuck on imports by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9234
* fix(RLM): Refactor tools to take list instead of dict and properly serialize None/null values by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9247

GEPA
* Update gepa[dspy] dependency to version 0.0.26 adding support for cached evals in GEPA expected to reduce metric calls, fix MLFlow logging, and bug fixes by @LakshyAAAgrawal in https://github.com/stanfordnlp/dspy/pull/9238
* Update gepa[dspy] version to 0.0.25 adding python==3.14 support by @LakshyAAAgrawal in https://github.com/stanfordnlp/dspy/pull/9224
* Temporarily remove the GEPA tool optimization doc by @chenmoneygithub in https://github.com/stanfordnlp/dspy/pull/9220
* fix(gepa): Remove enable_tool_optimization feature by @Ju-usc in https://github.com/stanfordnlp/dspy/pull/9223



Maintenance
* Stabilize real LM tests with deterministic temperature by @okhat in https://github.com/stanfordnlp/dspy/pull/9218
* fix: handle error responses from ColBERTv2 server by @emmanuel-ferdman in https://github.com/stanfordnlp/dspy/pull/9227
* Fix format  by @chenmoneygithub in https://github.com/stanfordnlp/dspy/pull/9249
* Fix the request header in streaming mode by @chenmoneygithub in https://github.com/stanfordnlp/dspy/pull/9248
* feat(docs): add community ports page by @isaacbmiller in https://github.com/stanfordnlp/dspy/pull/9222


Deferred to a later release (added then reverted before cutting this release):
* Allow DSPy to use the native reasoning from models by @chenmoneygithub in https://github.com/stanfordnlp/dspy/pull/8822
* Revert ChainOfThought to pre-dspy.Reasoning (#8822) behavior by @okhat in https://github.com/stanfordnlp/dspy/pull/9258

## New Contributors
* @missing-piece made their first contribution in https://github.com/stanfordnlp/dspy/pull/9256

**Full Changelog**: https://github.com/stanfordnlp/dspy/compare/3.1.2...3.1.3