Update instruction refinement

[KaQuMiQ]

No description provided.

[coderabbitai]

Walkthrough

A new .claude/settings.json configuration file was introduced to define a hook system that triggers automated code formatting using make format after certain tool operations. The project version in pyproject.toml was incremented from "0.75.2" to "0.75.3". In src/draive/helpers/instruction_refinement.py, the instruction refinement logic was refactored to separate the generation of strategy metadata from the generation of refined instruction content. This involved splitting the original function into two distinct functions for strategy metadata and instruction content, updating prompts, and introducing a new orchestrating function to manage the two-step process.

Possibly related PRs

• Refeine instructions refinement #328: Implements a comprehensive multi-candidate, multi-strategy refinement framework with new state tracking and convergence detection, related to instruction refinement but at a different abstraction level and scope.

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📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE
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📥 Commits

Reviewing files that changed from the base of the PR and between 061a4cc and c7e2499.

📒 Files selected for processing (3)

• .claude/settings.json (1 hunks)
• pyproject.toml (1 hunks)
• src/draive/helpers/instruction_refinement.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (1)

`**/*.py`: Follow Ruff import ordering (standard library, third party, local) Us...

**/*.py: Follow Ruff import ordering (standard library, third party, local)
Use Python 3.12+ type features (type unions with |, generic syntax)
Use base and abstract types like Sequence or Iterable instead of concrete types
Use custom exceptions for specific errors
Format code with Ruff
Run linters (Ruff + Bandit + Pyright strict mode)

📄 Source: CodeRabbit Inference Engine (CLAUDE.md)

List of files the instruction was applied to:

• src/draive/helpers/instruction_refinement.py

🧠 Learnings (1)

pyproject.toml (3)

Learnt from: KaQuMiQ
PR: miquido/draive#338
File: src/draive/lmm/__init__.py:1-2
Timestamp: 2025-06-16T10:28:07.434Z
Learning: The draive project requires Python 3.12+ as specified in pyproject.toml with "requires-python = ">=3.12"" and uses Python 3.12+ specific features like PEP 695 type aliases and generic syntax extensively throughout the codebase.

Learnt from: KaQuMiQ
PR: miquido/draive#327
File: src/draive/helpers/instruction_preparation.py:28-34
Timestamp: 2025-05-28T17:41:57.460Z
Learning: The draive project uses and requires Python 3.12+, so PEP-695 generic syntax with square brackets (e.g., `def func[T: Type]()`) is valid and should be used instead of the older TypeVar approach.

Learnt from: CR
PR: miquido/draive#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-01T09:39:43.008Z
Learning: Applies to draive/**/*.py : Use absolute imports from draive package

🔇 Additional comments (4)

pyproject.toml (1)

8-8: LGTM!

Version bump from 0.75.2 to 0.75.3 is appropriate for the instruction refinement updates in this PR.

src/draive/helpers/instruction_refinement.py (3)

521-568: Well-structured function for generating refined instructions.

The separation of strategy metadata generation from instruction content generation improves modularity and testability.

---

570-615: Excellent orchestration of the two-step refinement process.

The function properly coordinates strategy metadata generation and instruction content creation, with comprehensive error handling for all edge cases.

---

441-615: Excellent refactoring improving separation of concerns.

The decomposition into three focused functions enhances:

• Modularity: Strategy generation and content refinement can be tested/used independently
• Maintainability: Clear separation makes the code easier to understand and modify
• Reusability: Individual components can be reused if needed

This aligns well with SOLID principles, particularly the Single Responsibility Principle.

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• 📝 Generate Docstrings

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[coderabbitai]

Actionable comments posted: 3

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 99646de and 0424a03.

📒 Files selected for processing (3)

• .claude/settings.json (1 hunks)
• pyproject.toml (1 hunks)
• src/draive/helpers/instruction_refinement.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (1)

`**/*.py`: Follow Ruff import ordering (standard library, third party, local) Us...

**/*.py: Follow Ruff import ordering (standard library, third party, local)
Use Python 3.12+ type features (type unions with |, generic syntax)
Use base and abstract types like Sequence or Iterable instead of concrete types
Use custom exceptions for specific errors
Format code with Ruff
Run linters (Ruff + Bandit + Pyright strict mode)

📄 Source: CodeRabbit Inference Engine (CLAUDE.md)

List of files the instruction was applied to:

• src/draive/helpers/instruction_refinement.py

🧠 Learnings (1)

pyproject.toml (3)

Learnt from: KaQuMiQ
PR: miquido/draive#338
File: src/draive/lmm/__init__.py:1-2
Timestamp: 2025-06-16T10:28:07.434Z
Learning: The draive project requires Python 3.12+ as specified in pyproject.toml with "requires-python = ">=3.12"" and uses Python 3.12+ specific features like PEP 695 type aliases and generic syntax extensively throughout the codebase.

Learnt from: KaQuMiQ
PR: miquido/draive#327
File: src/draive/helpers/instruction_preparation.py:28-34
Timestamp: 2025-05-28T17:41:57.460Z
Learning: The draive project uses and requires Python 3.12+, so PEP-695 generic syntax with square brackets (e.g., `def func[T: Type]()`) is valid and should be used instead of the older TypeVar approach.

Learnt from: CR
PR: miquido/draive#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-01T09:39:43.008Z
Learning: Applies to draive/**/*.py : Use absolute imports from draive package

🔇 Additional comments (4)

.claude/settings.json (1)

1-15: Good automation setup for consistent code formatting!

The hook configuration correctly triggers formatting after write/edit operations.

src/draive/helpers/instruction_refinement.py (2)

381-386: Function call correctly updated to use new two-step approach.

The parameters align with the new function signature.

---

565-610: Well-structured orchestration of the two-step refinement process!

The function properly separates strategy generation from content generation and includes appropriate validation for the expected number of strategies.

pyproject.toml (1)

8-8: Version bump is appropriate for this refactoring.

The patch version increment aligns with semantic versioning for internal improvements.

[coderabbitai]

Actionable comments posted: 4

♻️ Duplicate comments (3)

.claude/settings.json (1)

9-9: Virtual environment activation needs to be verified.

The command assumes .venv/bin/activate exists, which may not be the case. This could cause the formatting hook to fail.

src/draive/helpers/instruction_refinement.py (2)

463-464: Fix typos in the prompt text.

The prompt contains spelling errors that should be corrected.

---

534-534: Fix typo in the prompt text.

The word "enginner" should be corrected to "engineer".

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 0424a03 and 061a4cc.

📒 Files selected for processing (3)

• .claude/settings.json (1 hunks)
• pyproject.toml (1 hunks)
• src/draive/helpers/instruction_refinement.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (1)

`**/*.py`: Follow Ruff import ordering (standard library, third party, local) Us...

**/*.py: Follow Ruff import ordering (standard library, third party, local)
Use Python 3.12+ type features (type unions with |, generic syntax)
Use base and abstract types like Sequence or Iterable instead of concrete types
Use custom exceptions for specific errors
Format code with Ruff
Run linters (Ruff + Bandit + Pyright strict mode)

📄 Source: CodeRabbit Inference Engine (CLAUDE.md)

List of files the instruction was applied to:

• src/draive/helpers/instruction_refinement.py

🧠 Learnings (1)

pyproject.toml (3)

Learnt from: KaQuMiQ
PR: miquido/draive#338
File: src/draive/lmm/__init__.py:1-2
Timestamp: 2025-06-16T10:28:07.434Z
Learning: The draive project requires Python 3.12+ as specified in pyproject.toml with "requires-python = ">=3.12"" and uses Python 3.12+ specific features like PEP 695 type aliases and generic syntax extensively throughout the codebase.

Learnt from: KaQuMiQ
PR: miquido/draive#327
File: src/draive/helpers/instruction_preparation.py:28-34
Timestamp: 2025-05-28T17:41:57.460Z
Learning: The draive project uses and requires Python 3.12+, so PEP-695 generic syntax with square brackets (e.g., `def func[T: Type]()`) is valid and should be used instead of the older TypeVar approach.

Learnt from: CR
PR: miquido/draive#0
File: CLAUDE.md:0-0
Timestamp: 2025-07-01T09:39:43.008Z
Learning: Applies to draive/**/*.py : Use absolute imports from draive package

🧬 Code Graph Analysis (1)

src/draive/helpers/instruction_refinement.py (5)

src/draive/instructions/types.py (1)

• Instruction (46-216)

src/draive/evaluation/suite.py (3)

• SuiteEvaluatorResult (98-141)
• report (49-84)
• report (106-130)

src/draive/stages/stage.py (2)

• Stage (92-1896)
• completion (317-401)

src/draive/instructions/volatile.py (1)

• instruction (32-47)

src/draive/multimodal/tags.py (2)

• MultimodalTagElement (15-373)
• parse (59-152)

🔇 Additional comments (2)

pyproject.toml (1)

8-8: Version bump looks appropriate.

The patch version increment from 0.75.2 to 0.75.3 correctly reflects the refactoring changes in this PR.

src/draive/helpers/instruction_refinement.py (1)

565-610: Well-structured orchestration of the refinement process.

The two-step approach cleanly separates strategy generation from content refinement, improving modularity and maintainability.