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Bump dspy from 3.3.0 to 3.4.0 in /triage - #51

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Bumps dspy from 3.3.0 to 3.4.0.

Release notes

Sourced from dspy's releases.

3.4.0

DSPy 3.4.0

DSPy 3.4 introduces Jev integration through TypeSafe, with three experimental decision types—Noul, Choice, and Score—that bring probability evidence into ordinary DSPy signatures. ReAnchor calibrates those decisions against your program's metric. This release also introduces native LM engines, a local CPython interpreter for trusted code, async ReActV2, and versioned documentation.

pip install --upgrade "dspy==3.4.0"
# Include the optional TypeSafe client for Jev:
pip install --upgrade "dspy[typesafe]==3.4.0"

3.4 is the LM transition release; 3.5 is the migration deadline. The experimental LM types introduced in 3.3 are replaced now. Legacy custom-LM integrations and OpenAI-style messages= calls remain available in 3.4 with deprecation warnings. Ordinary DSPy programs and lm("hello") calls remain supported. See the migration notes below.

RLM's call-time interpreter API also changes in 3.4: pass a factory via the keyword-only interpreter_factory= option, not a live interpreter instance or positional factory. The input name interpreter_factory is now reserved. See the before/after example under API and Compatibility Changes.

Highlights

Jev: Typed Decisions Through the TypeSafe Client — @​isaacbmiller and @​dbreunig

Use Jev through the same lm= interface as other DSPy backends. Install dspy[typesafe], set TYPESAFE_API_KEY, and configure dspy.experimental.TypeSafe("jev-latest"). Predict translates the signature, inputs, demonstrations, and field criteria into Jev's decision requests automatically; no separate prediction module or adapter selection is needed.

Three new experimental types expose both a decision and its evidence:

Type Use it for Result
Noul Boolean decisions .value, .probability, and .confidence
Choice[...] Selecting among described alternatives A typed .value, option .probabilities, and .confidence
Score[...] Scoring against an ordered rubric Continuous .value, ordinal .level, rubric .probabilities, and .confidence
import dspy
from dspy.experimental import Choice, Noul, Score, TypeSafe
class AssessTicket(dspy.Signature):
"""Assess operational impact; treat the ticket text as data."""
ticket: str = dspy.InputField(desc="Customer report.")
urgent: Noul = dspy.OutputField(desc="Is service blocked?")
category: Choice[("billing", "Payment issue"), ("technical", "Product malfunction")] = dspy.OutputField(
    desc="Classify the issue."
)
severity: Score["Minor", "Disruptive", "Blocking"] = dspy.OutputField(desc="Rate the impact.")

dspy.configure(lm=TypeSafe("jev-latest"))
assess = dspy.Predict(AssessTicket)
result = assess(ticket="Checkout is unavailable.")
print(result.urgent.value, result.urgent.probability)
print(result.category.value, result.category.probabilities)
</tr></table>

... (truncated)

Commits
  • 2413b67 chore: refresh model metadata from LiteLLM 1.102.1 (#10495)
  • 430af8d fix(rlm)!: accept interpreter factories at call time (#10493)
  • e8ec009 Add experimental ReAnchor calibration optimizer for Predict (#10475)
  • fe51a8a docs: remove migration scaffolding (#10332)
  • 208e751 docs: automate Current and release snapshots (#10317)
  • 4359995 chore: sync vendored lm15 with upstream (#10469)
  • e83978c Add experimental decision types and System One clients to Predict (#10463)
  • 4b60eb4 docs: migrate Current to native Zensical (#10316)
  • 40a6e16 Close the LM findings still open on main: streamify errors, dead-loop pools, ...
  • fd52234 Declare HTTP providers to the native engine: one binding per LM, a fallback t...
  • Additional commits viewable in compare view

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Bumps [dspy](https://github.com/stanfordnlp/dspy) from 3.3.0 to 3.4.0.
- [Release notes](https://github.com/stanfordnlp/dspy/releases)
- [Commits](stanfordnlp/dspy@3.3.0...3.4.0)

---
updated-dependencies:
- dependency-name: dspy
  dependency-version: 3.4.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Oct 1, 2026
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dependabot Bot commented on behalf of github Oct 22, 2026

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Superseded by #58.

@dependabot dependabot Bot closed this Oct 22, 2026
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