docs: pin README examples to v1.0.5

[github-actions]

Auto-generated by .github/workflows/release-bump-readme.yml after
the v1.0.5
release.

Updates every langfuse/experiment-action@… reference in the README
to @377da5adb75223b208b7da05276598ff093aaf48 # v1.0.5.

[claude]

LGTM — auto-generated SHA bump from v1.0.4 to v1.0.5.

Extended reasoning...

Overview

This is an auto-generated PR from .github/workflows/release-bump-readme.yml that updates all five langfuse/experiment-action@<sha> # v1.0.4 references in README.md to @377da5adb75223b208b7da05276598ff093aaf48 # v1.0.5 following the v1.0.5 release. Only documentation is touched.

Security risks

None. The change is purely textual in README.md. The new SHA 377da5a matches the recent fix(deps): Bump undici commit visible in the local git log, confirming the pinned reference points to a real release commit.

Level of scrutiny

Minimal scrutiny required. Mechanical, automated docs-only update with the docs and automated labels. No logic, configuration, or security-sensitive code is modified.

Other factors

No prior reviewer comments or unaddressed feedback in the PR timeline. The bug hunting system found no issues. This is exactly the kind of trivial, repeatable release-housekeeping PR that fits the approval criteria.

[github-actions]

Experiment Results: 7691787 (#2)

Experiment	Status	Actions
Uppercase (py)	✅ Pass	View GitHub Action Run · View in Langfuse
Uppercase (ts)	✅ Pass	View GitHub Action Run · View in Langfuse
Mixed dir (node)	✅ Pass	View GitHub Action Run · View in Langfuse
Mixed dir (python)	✅ Pass	View GitHub Action Run · View in Langfuse
Regression fixture	❌ Regression	View GitHub Action Run · View in Langfuse

Details

✅ Uppercase (py) (Source)

Score	Value
avg_accuracy	1.000

Item results (3)

Item	Input	Expected	Output	exact_match
1	langfuse	LANGFUSE	LANGFUSE	1.000
2	world	WORLD	WORLD	1.000
3	hello	HELLO	HELLO	1.000

✅ Uppercase (ts) (Source)

Score	Value
avg_accuracy	1.000

Item results (3)

Item	Input	Expected	Output	exact_match
1	langfuse	LANGFUSE	LANGFUSE	1.000
2	world	WORLD	WORLD	1.000
3	hello	HELLO	HELLO	1.000

✅ Mixed dir (node) (Source)

Score	Value
avg_accuracy	1.000

Item results (3)

Item	Input	Expected	Output	exact_match
1	langfuse	LANGFUSE	LANGFUSE	1.000
2	world	WORLD	WORLD	1.000
3	hello	HELLO	HELLO	1.000

✅ Mixed dir (python) (Source)

Score	Value
avg_accuracy	1.000

Item results (3)

Item	Input	Expected	Output	exact_match
1	langfuse	LANGFUSE	LANGFUSE	1.000
2	world	WORLD	WORLD	1.000
3	hello	HELLO	HELLO	1.000

❌ Regression fixture (Source)

RegressionError: synthetic regression triggered by e2e fixture

Item results (3)

Item	Input	Expected	Output	exact_match
1	langfuse	LANGFUSE	LANGFUSE	1.000
2	world	WORLD	WORLD	1.000
3	hello	HELLO	HELLO	1.000