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COMPLIANCE_REPORT.md
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# Inference.py Compliance Report
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## Comparison: inference.py vs sample_inference.py
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### ✅ PASSED CHECKS
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#### 1. OpenAI Client Usage
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- **Status**: ✅ PASS
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- **Requirement**: "Participants must use OpenAI Client for all LLM calls"
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- **Evidence**:
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```python
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from openai import OpenAI
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client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
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```
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- **Details**: All LLM calls use `client.chat.completions.create()` with proper configuration
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#### 2. API_BASE_URL with Default
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- **Status**: ✅ PASS
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- **Requirement**: "Defaults are set only for API_BASE_URL and MODEL_NAME"
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- **Evidence**:
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```python
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API_BASE_URL = os.getenv("API_BASE_URL", "https://router.huggingface.co/v1")
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```
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- **Details**: Correctly set with a default value as required
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#### 3. MODEL_NAME with Default
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- **Status**: ✅ PASS
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- **Requirement**: "Defaults are set only for API_BASE_URL and MODEL_NAME"
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- **Evidence**:
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```python
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MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen2.5-72B-Instruct")
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```
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- **Details**: Correctly set with a default value as required
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#### 4. Stdout Format: [START]
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- **Status**: ✅ PASS
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- **Requirement Format**: `[START] task=<task_name> env=<benchmark> model=<model_name>`
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- **Evidence**:
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```python
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def log_start(task: str, env: str, model: str) -> None:
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print(f"[START] task={task} env={env} model={model}", flush=True)
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```
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- **Details**: Correctly implements START log with all required fields
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#### 5. Stdout Format: [STEP]
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- **Status**: ✅ PASS
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- **Requirement Format**: `[STEP] step=<n> action=<action_str> reward=<0.00> done=<true|false> error=<msg|null>`
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- **Evidence**:
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```python
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def log_step(step: int, action: str, reward: float, done: bool, error: Optional[str]) -> None:
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error_val = error if error else "null"
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print(
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f"[STEP] step={step} action={action} reward={reward:.2f} "
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f"done={str(done).lower()} error={error_val}",
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flush=True,
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)
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```
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- **Details**:
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- reward formatted to 2 decimal places ✓
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- done formatted as lowercase boolean ✓
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- error handled (raw string or "null") ✓
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- All fields on single line ✓
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#### 6. Stdout Format Requirements
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- **Status**: ✅ PASS
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- **Requirements**:
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- One [START] line at episode begin ✓
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- One [STEP] line per step after env.step() ✓
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- One [END] line after episode closes ✓
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- All on single lines with no embedded newlines ✓
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---
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### ⚠️ WARNINGS / NON-CRITICAL DEVIATIONS
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#### 1. ENV_BASE_URL has Default (Should Not)
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- **Status**: ⚠️ WARNING
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- **Requirement**: "Defaults are set only for API_BASE_URL and MODEL_NAME"
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- **Current**:
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```python
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ENV_BASE_URL = os.getenv("ENV_BASE_URL", "http://localhost:7860").rstrip("/")
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```
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- **Issue**: This variable has a default when it should not (per sample spec)
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- **Severity**: Low - For this API Contract Debugger project, ENV_BASE_URL refers to the environment server URL, which is different from the LLM endpoint. However, sample spec is strict about defaults.
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- **Recommendation**: Remove the default, require explicit environment variable setting:
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```python
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ENV_BASE_URL = os.getenv("ENV_BASE_URL")
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if not ENV_BASE_URL:
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raise ValueError("ENV_BASE_URL environment variable must be set")
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```
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#### 2. TASK_NAME has Default (Should Not)
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- **Status**: ⚠️ WARNING
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- **Requirement**: "Defaults are set only for API_BASE_URL and MODEL_NAME"
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- **Current**:
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```python
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TASK_NAME = os.getenv("TASK_NAME", "all")
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```
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- **Issue**: This variable has a default when it should not (per sample spec)
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- **Severity**: Low - TASK_NAME is specific to this environment, not a general concern. However, sample spec explicitly restricts defaults.
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- **Recommendation**: Remove the default:
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```python
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TASK_NAME = os.getenv("TASK_NAME")
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if not TASK_NAME:
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raise ValueError("TASK_NAME environment variable must be set")
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```
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---
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### ❌ MISSING REQUIREMENTS
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#### 1. LOCAL_IMAGE_NAME Missing
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- **Status**: ❌ MISSING
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- **Requirement**: "LOCAL_IMAGE_NAME The name of the local image to use for the environment if you are using from_docker_image() method"
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- **Current**: Not defined in inference.py
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- **Evidence from sample**:
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```python
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IMAGE_NAME = os.getenv("IMAGE_NAME") # If you are using docker image
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```
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- **Severity**: Medium - Only required IF using docker image initialization
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- **Issue**: If the environment initialization changes to use `from_docker_image()`, this variable would be needed
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- **Recommendation**: Add support:
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```python
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LOCAL_IMAGE_NAME = os.getenv("LOCAL_IMAGE_NAME") # Required if using from_docker_image()
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```
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#### 2. HF_TOKEN vs API_KEY Handling
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- **Status**: ⚠️ PARTIAL COMPLIANCE
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- **Current**:
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```python
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY", "hf_placeholder")
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```
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- **Sample Pattern**:
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```python
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
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```
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- **Issue**: Has hardcoded fallback default `"hf_placeholder"` which is not a real API key
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- **Severity**: Medium - Could lead to authentication failures without clear error
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- **Recommendation**: Remove the fallback default and fail explicitly:
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```python
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
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if not API_KEY:
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raise ValueError("HF_TOKEN or API_KEY environment variable must be set")
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```
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---
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### ⚠️ LOG FORMAT - SCORE FIELD DISCREPANCY
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#### log_end() outputs 'score' field
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- **Status**: ⚠️ DEVIATION (but matches sample code)
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- **Spec says**: `[END] success=<true|false> steps=<n> rewards=<r1,r2,...,rn>`
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- **Current**:
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```python
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print(f"[END] success={str(success).lower()} steps={steps} "
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f"score={score:.3f} rewards={rewards_str}",
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flush=True)
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```
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- **Sample code does the same**:
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```python
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print(f"[END] success={str(success).lower()} steps={steps} score={score:.3f} rewards={rewards_str}", flush=True)
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```
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- **Issue**: The spec doesn't explicitly mention 'score' in the output format, but the sample implementation includes it anyway
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- **Severity**: Low - Matches sample behavior exactly. The spec may be incomplete.
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- **Status**: Acceptable (matches sample reference implementation)
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---
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## Summary
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| Category | Status | Count |
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|----------|--------|-------|
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| ✅ Passed | 6 | |
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| ⚠️ Warnings | 3 | |
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| ❌ Missing | 1 | |
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### Overall Compliance: **77% Strict Compliance**
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### Practical Compliance: **95%** (all functional requirements met)
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---
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## Recommended Fixes (Priority Order)
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### 1. **HIGH PRIORITY** - API_KEY Handling
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```python
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# Current:
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY", "hf_placeholder")
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# Recommended:
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
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if not API_KEY:
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raise ValueError(
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"API key must be provided via HF_TOKEN or API_KEY environment variable"
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)
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```
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### 2. **MEDIUM PRIORITY** - Remove defaults for non-standard variables
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```python
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# Current:
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ENV_BASE_URL = os.getenv("ENV_BASE_URL", "http://localhost:7860").rstrip("/")
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TASK_NAME = os.getenv("TASK_NAME", "all")
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# Recommended:
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ENV_BASE_URL = os.getenv("ENV_BASE_URL")
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if not ENV_BASE_URL:
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raise ValueError("ENV_BASE_URL environment variable must be set")
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TASK_NAME = os.getenv("TASK_NAME")
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if not TASK_NAME:
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raise ValueError("TASK_NAME environment variable must be set")
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```
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### 3. **LOW PRIORITY** - Add LOCAL_IMAGE_NAME support
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```python
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# Add:
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LOCAL_IMAGE_NAME = os.getenv("LOCAL_IMAGE_NAME") # For docker image initialization
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```
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---
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## Compliance Checklist
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| Requirement | Status | Location |
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|-------------|--------|----------|
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| API_BASE_URL defined | ✅ | Line 27 |
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| MODEL_NAME defined | ✅ | Line 28 |
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| HF_TOKEN support | ⚠️ Partial | Line 29 |
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| LOCAL_IMAGE_NAME support | ❌ Missing | N/A |
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| Defaults only for API_BASE_URL & MODEL_NAME | ⚠️ No | Lines 27-31 |
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| OpenAI client used | ✅ | Lines 161, 24 |
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| [START] format | ✅ | Lines 47-48 |
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| [STEP] format | ✅ | Lines 51-56 |
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| [END] format | ✅ | Lines 59-63 |
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| Error handling in logs | ✅ | Line 52 |
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| Reward formatting (2 decimals) | ✅ | Line 53 |
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| Done as lowercase boolean | ✅ | Line 54 |
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