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fix: replace all production print() calls with logger in rl_training_…#1981
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@memosr memosr commented Mar 18, 2026 •
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…tool

Replace all bare print() calls in production code paths with proper logger calls.

  • Add import logging and module-level logger = logging.getLogger(__name__)
  • Replace print() in _start_training_run() with logger.info()
  • Replace print() in _stop_training_run() with logger.info()
  • Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout.

What does this PR do?

Related Issue

Fixes #

Type of Change

  • 🐛 Bug fix (non-breaking change that fixes an issue)
  • ✨ New feature (non-breaking change that adds functionality)
  • 🔒 Security fix
  • 📝 Documentation update
  • ✅ Tests (adding or improving test coverage)
  • ♻️ Refactor (no behavior change)
  • 🎯 New skill (bundled or hub)

Changes Made

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Checklist

Code

  • I've read the Contributing Guide
  • My commit messages follow Conventional Commits (fix(scope):, feat(scope):, etc.)
  • I searched for existing PRs to make sure this isn't a duplicate
  • My PR contains only changes related to this fix/feature (no unrelated commits)
  • I've run pytest tests/ -q and all tests pass
  • I've added tests for my changes (required for bug fixes, strongly encouraged for features)
  • I've tested on my platform:

Documentation & Housekeeping

  • I've updated relevant documentation (README, docs/, docstrings) — or N/A
  • I've updated cli-config.yaml.example if I added/changed config keys — or N/A
  • I've updated CONTRIBUTING.md or AGENTS.md if I changed architecture or workflows — or N/A
  • I've considered cross-platform impact (Windows, macOS) per the compatibility guide — or N/A
  • I've updated tool descriptions/schemas if I changed tool behavior — or N/A

For New Skills

  • This skill is broadly useful to most users (if bundled) — see Contributing Guide
  • SKILL.md follows the standard format (frontmatter, trigger conditions, steps, pitfalls)
  • No external dependencies that aren't already available (prefer stdlib, curl, existing Hermes tools)
  • I've tested the skill end-to-end: hermes --toolsets skills -q "Use the X skill to do Y"

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@memosr
fix: replace all production print() calls with logger in rl_training_…
169aa14 
…tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.
@teknium1 teknium1 mentioned this pull request Mar 22, 2026
Merged
teknium1 added a commit that referenced this pull request Mar 22, 2026
@teknium1 @kshitijk4poor @memosr
fix: replace production print() calls with logger in rl_training_tool…
027fc1a 
… (salvage #1981) (#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR #2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
@teknium1

teknium1 commented Mar 22, 2026

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Merged via PR #2462. Cherry-picked cleanly onto current main with authorship preserved. Good call leaving the rl_test_inference() prints alone — those are intentional interactive output. Thanks @memosr!

@teknium1 teknium1 closed this Mar 22, 2026
outsourc-e pushed a commit to outsourc-e/hermes-agent that referenced this pull request Mar 26, 2026
@teknium1 @kshitijk4poor
@memosr Aurora
fix: replace production print() calls with logger in rl_training_tool…
7eb3f54 
… (salvage NousResearch#1981) (NousResearch#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR NousResearch#2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
@memosr
memosr deleted the patch-2 branch March 29, 2026 20:44
angelburgosrosado pushed a commit to angelburgosrosado/hermes-agent that referenced this pull request Apr 27, 2026
@teknium1 @kshitijk4poor @memosr
fix: replace production print() calls with logger in rl_training_tool…
0a2e33c 
… (salvage NousResearch#1981) (NousResearch#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR NousResearch#2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
02356abc pushed a commit to 02356abc/hermes-agent that referenced this pull request May 14, 2026
@teknium1 @kshitijk4poor @memosr
fix: replace production print() calls with logger in rl_training_tool…
11b398e 
… (salvage NousResearch#1981) (NousResearch#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR NousResearch#2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
gweeteve pushed a commit to gweeteve/hermes-agent that referenced this pull request Jun 2, 2026
@teknium1 @kshitijk4poor @memosr
fix: replace production print() calls with logger in rl_training_tool…
164c623 
… (salvage NousResearch#1981) (NousResearch#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR NousResearch#2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
waefrebeorn pushed a commit to waefrebeorn/slermes that referenced this pull request Jul 2, 2026
@teknium1 @kshitijk4poor @memosr
fix: replace production print() calls with logger in rl_training_tool…
2106de1 
… (salvage NousResearch#1981) (NousResearch#2462)

* fix: respect DashScope v1 runtime mode for alibaba

Remove the hardcoded Alibaba branch from resolve_runtime_provider()
that forced api_mode='anthropic_messages' regardless of the base URL.

Alibaba now goes through the generic API-key provider path, which
auto-detects the protocol from the URL:
- /apps/anthropic → anthropic_messages (via endswith check)
- /v1 → chat_completions (default)

This fixes Alibaba setup with OpenAI-compatible DashScope endpoints
(e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because
runtime always forced Anthropic mode even when setup saved a /v1 URL.

Based on PR NousResearch#2024 by @kshitijk4poor.

* docs(skill): add split, merge, search examples to ocr-and-documents skill

Adds pymupdf examples for PDF splitting, merging, and text search
to the existing ocr-and-documents skill. No new dependencies — pymupdf
already covers all three operations natively.

* fix: replace all production print() calls with logger in rl_training_tool

Replace all bare print() calls in production code paths with proper logger calls.

- Add `import logging` and module-level `logger = logging.getLogger(__name__)`
- Replace print() in _start_training_run() with logger.info()
- Replace print() in _stop_training_run() with logger.info()
- Replace print(Warning/Note) calls with logger.warning() and logger.info()

Using the logging framework allows log level filtering, proper formatting,
and log routing instead of always printing to stdout.

---------

Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com>
Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
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@memosr @teknium1