⚡ Bolt: Add Parakeet model warmup to reduce first-inference latency

[Whamp]

User description

💡 What: Implemented ParakeetManager.warmup() and called it during ChirpApp initialization.
🎯 Why: The first transcription request was suffering from "cold start" latency due to ONNX Runtime lazy initialization.
📊 Impact: Reduces latency of the first user interaction by shifting initialization cost to startup.
🔬 Measurement: Verified via unit tests that warmup invokes transcribe. Benchmarking (simulated) confirms first-run penalty is paid at startup.

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PR created automatically by Jules for task 13605976518554018741 started by @Whamp

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PR Type

Enhancement

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Description

• Add warmup() method to ParakeetManager for model initialization

• Call warmup during ChirpApp startup to reduce first-inference latency

• Shift ONNX Runtime initialization cost from user interaction to startup

• Add comprehensive unit test verifying warmup invokes transcribe correctly

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Diagram Walkthrough

flowchart LR
  A["ChirpApp initialization"] -->|calls| B["ParakeetManager.warmup()"]
  B -->|runs dummy inference| C["ONNX Runtime initialization"]
  C -->|shifts cost to startup| D["Faster first user interaction"]

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File Walkthrough

	Relevant files
Enhancement	main.py Invoke warmup during ChirpApp initialization                          src/chirp/main.py Call self.parakeet.warmup() after ParakeetManager initialization in ChirpApp.__init__ Ensures model is warmed up before any user interactions occur +1/-0      parakeet_manager.py Implement warmup method for model initialization                  src/chirp/parakeet_manager.py Add warmup() method that runs dummy inference with zero-filled audio Initializes ONNX Runtime internal buffers and optimizes execution graph Includes error handling to log warnings if warmup fails without crashing Uses debug logging to track warmup execution +9/-0
Tests	test_parakeet_manager.py Add unit test for warmup functionality                                      tests/test_parakeet_manager.py Add test_warmup() unit test to verify warmup calls transcribe Verify dummy audio has correct shape (16000,) and dtype (float32) Mock transcribe to isolate warmup behavior and confirm invocation +23/-0
Documentation	bolt.md Document Parakeet cold start optimization                                .jules/bolt.md Document learning about ONNX Runtime cold start latency issue Record action taken to implement warmup for startup initialization +4/-0

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[qodo-code-review]

PR Compliance Guide 🔍

Below is a summary of compliance checks for this PR:

Security Compliance
🟢	No security concerns identified No security vulnerabilities detected by AI analysis. Human verification advised for critical code.
Ticket Compliance
⚪	🎫 No ticket provided Create ticket/issue
Codebase Duplication Compliance
⚪	Codebase context is not defined Follow the guide to enable codebase context checks.
Custom Compliance
🟢	Generic: Comprehensive Audit Trails Objective: To create a detailed and reliable record of critical system actions for security analysis and compliance. Status: Passed Learn more about managing compliance generic rules or creating your own custom rules
	Generic: Meaningful Naming and Self-Documenting Code Objective: Ensure all identifiers clearly express their purpose and intent, making code self-documenting Status: Passed Learn more about managing compliance generic rules or creating your own custom rules
	Generic: Secure Error Handling Objective: To prevent the leakage of sensitive system information through error messages while providing sufficient detail for internal debugging. Status: Passed Learn more about managing compliance generic rules or creating your own custom rules
	Generic: Secure Logging Practices Objective: To ensure logs are useful for debugging and auditing without exposing sensitive information like PII, PHI, or cardholder data. Status: Passed Learn more about managing compliance generic rules or creating your own custom rules
	Generic: Security-First Input Validation and Data Handling Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent vulnerabilities Status: Passed Learn more about managing compliance generic rules or creating your own custom rules
⚪	Generic: Robust Error Handling and Edge Case Management Objective: Ensure comprehensive error handling that provides meaningful context and graceful degradation Status: Warmup exceptions swallowed: warmup() catches all exceptions and only logs a warning, which may mask real startup/model failures and lacks traceback/context for effective debugging. Referred Code def warmup(self) -> None: """Run a dummy inference to initialize internal buffers and optimize execution graph.""" self._logger.debug("Warming up Parakeet model...") dummy_audio = np.zeros(16_000, dtype=np.float32) try: self.transcribe(dummy_audio) except Exception as exc: self._logger.warning("Warmup failed (non-fatal): %s", exc) Learn more about managing compliance generic rules or creating your own custom rules

Compliance status legend

🟢 - Fully Compliant
🟡 - Partial Compliant
🔴 - Not Compliant
⚪ - Requires Further Human Verification
🏷️ - Compliance label

[qodo-code-review]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Allow warmup failures to crash startup In the warmup method, remove the try...except block to allow exceptions to propagate. This ensures the application fails fast at startup if the core transcription functionality is broken, rather than starting in a non-functional state. src/chirp/parakeet_manager.py [126-133] def warmup(self) -> None: - """Run a dummy inference to initialize internal buffers and optimize execution graph.""" + """ + Run a dummy inference to initialize internal buffers and optimize the execution graph. + + Raises: + Exception: If the underlying transcription call fails, indicating a problem + with the model or runtime environment. + """ self._logger.debug("Warming up Parakeet model...") dummy_audio = np.zeros(16_000, dtype=np.float32) - try: - self.transcribe(dummy_audio) - except Exception as exc: - self._logger.warning("Warmup failed (non-fatal): %s", exc) + self.transcribe(dummy_audio) Apply / Chat Suggestion importance[1-10]: 8 __ Why: The suggestion correctly identifies that suppressing exceptions during warmup can lead to a poor user experience by allowing the application to start in a broken state. Adopting a fail-fast approach by letting exceptions propagate is a more robust design for handling critical startup failures.	Medium
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