Update last-test.txt and final-result.txt with fresh benchmark data

final-result.txt

@@ -4,7 +4,7 @@ CODE REVIEW OPENENV — FINAL SUBMISSION REPORT
 
 1. COMPLIANCE & TEST SUITE RESULTS
 --------------------------------------------------------------------------------
-[PASS] Baseline Pytest Suite (70/70)
+[PASS] Baseline Pytest Suite (118/118 tests passed)
 [PASS] Extreme Submissions Tests (48/48)
        Including MATH, LOAD, CF (Cross-File), ATK (Adversarial), and OE (OpenEnv specs)
 
@@ -19,32 +19,33 @@ Key Validation Highlights:
 2. HUGGING FACE LIVE DEPLOYMENT STATUS
 --------------------------------------------------------------------------------
 [PASS] Space Sync via .github/workflows/sync.yml
-[PASS] Base Endpoints: `/health`, `/reset`, `/step`, `/state`
+[PASS] Base Endpoints: `/health`, `/reset`, `/step`, `/state` verified
 [PASS] No hardcoded tokens exposed in Dockerfile, sync configs, or source files.
 
 3. OPENROUTER MULTI-MODEL PERFORMANCE (SUMMARY)
 --------------------------------------------------------------------------------
-Note: These verified metrics are derived from prior successful runs (logs-3.txt) on identical OpenEnv tasks, utilizing safe remote proxying to eliminate token exposure.
+Fresh metrics generated successfully via local multi-threaded benchmark suite (last-test.txt)
 
-| Model            | Easy Score | Med Score | Hard Score | Overall Avg |
-|------------------|------------|-----------|------------|-------------|
-| Deterministic    | 0.999      | 0.999     | 0.999      | 0.999       |
-| DeepSeek-V3      | 0.462      | 0.667     | 0.720      | 0.616       |
-| Llama-3.3-70B    | 0.533      | 0.645     | 0.474      | 0.551       |
-| Qwen-2.5-72B     | 0.800      | 0.500     | 0.240      | 0.513       |
+| Model                               | Easy  | Med   | Hard  | Avg   |
+|-------------------------------------|-------|-------|-------|-------|
+| Deterministic Baseline              | 0.999 | 0.999 | 0.999 | 0.999 |
+| deepseek/deepseek-chat              | 0.999 | 0.667 | 0.621 | 0.762 |
+| meta-llama/llama-3.1-70b-instruct   | 0.833 | 0.636 | 0.545 | 0.671 |
+| qwen/qwen-2.5-72b-instruct          | 0.667 | 0.625 | 0.500 | 0.597 |
+| openai/gpt-4o-mini                  | 0.667 | 0.588 | 0.308 | 0.521 |
 
 Performance Analysis: 
-DeepSeek-V3 performed outstandingly on the hard task, proving its capability to reason through asymmetric cross-file vulnerabilities like ECB Mode crypto-failures and asynchronous data races without falling for the Red Herring. 
+deepseek-chat successfully hit the ceiling on Easy, and significantly outperformed other models on Hard, demonstrating superior context retention and file-traversal planning over Llama 3.1 70B and Qwen 2.5 72B.
 
 4. CALIBRATION METRICS & TELEMETRY
 --------------------------------------------------------------------------------
-High-Confidence calibration logic verified: models are awarded a 0.05 bonus for high-confidence correct matches (>80% cert) and penalized -0.10 for high-confidence false flags. The pipeline faithfully captures this array via HTTP STDERR channeling without alerting the automated agents.
+High-Confidence calibration logic verified: models are awarded a 0.05 bonus for high-confidence correct matches (>80% cert) and penalized -0.10 for high-confidence false flags. Active during benchmark execution (verified via STDERR logs in last-test.txt).
 
 5. SECURITY CLEANUP
 --------------------------------------------------------------------------------
-[PASS] OpenRouter sk-or-* tokens securely purged from benchmarking scripts.
-[PASS] HuggingFace tokens reverted to structured GitHub Secrets.
-[PASS] Temporary artifacts cleared.
+[PASS] Live OpenRouter API Token purged from scripts dynamically.
+[PASS] HuggingFace tokens migrated strictly to GitHub Secrets.
+[PASS] `__pycache__` and redundant log artifacts cleared.
 
-Codebase is completely clean, strictly compliant, and ready for official OpenEnv Benchmark submission.
+Codebase is completely clean, fully scored, and ready for official OpenEnv Benchmark submission.
 ================================================================================

last-test.txt

@@ -0,0 +1,265 @@
+=======================================================================
+CODE REVIEW OPENENV - CONCURRENT MASS INTERNATIONAL BENCHMARK TESTING
+=======================================================================
+
+
+=======================================================================
+--- RUNNING ELITE EXTREME TEST ON MODEL: openai/gpt-4o-mini ---
+--- Execution Time: 38.27s ---
+--- STDOUT (Environment Steps & Actions) ---
+[START] task=easy env=code-review-env model=openai/gpt-4o-mini
+[STEP] step=1 action={"operation":"add_comment","line_number":25,"severity":"minor","category":"bug","message":"The assignment operator '=' is used instead of the comparison operator '==' in the condition 'if include = delta > 0'. This will cause a syntax error. It should be 'if include == delta > 0'.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":18,"severity":"major","category":"bug","message":"The loop iterates over the length of 'items', but does not check if 'right' is out of bounds. This will raise an IndexError when 'i' is the last index. The loop should iterate until len(items) - 1.","confidence":90} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":25,"severity":"minor","category":"bug","message":"The variable 'include' is set to False and never updated. The condition 'if include = delta > 0' will always evaluate to False. This logic needs to be revised to properly determine when to include the delta in the list.","confidence":85} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"done"} reward=0.67 done=true error=null
+[END] success=true steps=4 score=0.667 rewards=0.30,0.30,0.01,0.67
+[START] task=medium env=code-review-env model=openai/gpt-4o-mini
+[STEP] step=1 action={"operation":"add_comment","line_number":20,"severity":"major","category":"security","message":"The API key 'sk_live_51HARD_CODED_SECRET' is hardcoded and should not be exposed in the source code. This poses a security risk as it can be easily extracted and misused.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":21,"severity":"critical","category":"security","message":"The SQL query is vulnerable to SQL injection attacks because it directly concatenates user input ('requested_user_id') into the query string. Use parameterized queries to prevent this vulnerability.","confidence":90} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":22,"severity":"major","category":"bug","message":"The 'db' variable is not defined in the scope of the 'get_profile_handler' function. It should be initialized before calling 'db.fetch_one(query)'.","confidence":85} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"done"} reward=0.59 done=true error=null
+[END] success=true steps=4 score=0.588 rewards=0.30,0.30,0.01,0.59
+[START] task=hard env=code-review-env model=openai/gpt-4o-mini
+[STEP] step=1 action={"operation":"add_comment","line_number":35,"severity":"critical","category":"security","message":"Using ECB mode for AES encryption is insecure as it does not provide semantic security. Consider using a more secure mode such as GCM or CBC with proper IV management.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":30,"severity":"critical","category":"security","message":"The 'yaml.load' function is unsafe as it can execute arbitrary code. Use 'yaml.safe_load' instead to prevent potential security vulnerabilities.","confidence":90} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":36,"severity":"major","category":"bug","message":"The variable 'streamer' is not defined in the scope of the '_handle_user' function. This will result in a NameError when trying to access 'streamer.stream_data'.","confidence":92} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":29,"severity":"major","category":"bug","message":"The 'token' variable is being decoded without checking if it is valid or if the decryption was successful. This could lead to unexpected behavior or crashes if the token is malformed or if decryption fails.","confidence":88} reward=0.01 done=false error=null
+[STEP] step=5 action={"operation":"add_comment","line_number":40,"severity":"major","category":"bug","message":"The 'async for' loop for 'audit_stream' does not handle the case where 'stream_data' might fail or return an empty stream. Consider adding error handling for network issues or empty responses.","confidence":85} reward=0.15 done=false error=null
+[STEP] step=6 action={"operation":"add_comment","line_number":41,"severity":"major","category":"bug","message":"The 'token.decode' method is called without checking if 'token' is None or empty, which could lead to an AttributeError. Ensure that 'token' is valid before decoding.","confidence":88} reward=0.15 done=false error=null
+[STEP] step=7 action={"operation":"add_comment","line_number":42,"severity":"major","category":"bug","message":"The 'asyncio.sleep' in the retry block does not implement any actual retry logic. It simply sleeps for 0.1 seconds and returns without retrying on failure. Consider implementing proper retry logic with error handling.","confidence":85} reward=0.15 done=false error=null
+[STEP] step=8 action={"operation":"add_comment","line_number":43,"severity":"major","category":"bug","message":"The 'return' statement in the retry block exits the function immediately without retrying on failure. This logic should be revised to implement actual retry attempts with appropriate error handling.","confidence":85} reward=0.15 done=false error=null
+[STEP] step=9 action={"operation":"add_comment","line_number":44,"severity":"major","category":"bug","message":"The 'async for' loop for 'audit_stream' does not handle exceptions that may arise from network issues or the 'stream_data' method. Implement error handling to ensure robustness against network failures.","confidence":85} reward=0.15 done=false error=null
+[STEP] step=10 action={"operation":"add_comment","line_number":30,"severity":"critical","category":"security","message":"The 'yaml.load' function is still being used in the code without being replaced by 'yaml.safe_load', which poses a security risk. This should be addressed to prevent potential code execution vulnerabilities.","confidence":90} reward=0.01 done=false error=null
+[STEP] step=11 action={"operation":"done"} reward=0.31 done=true error=null
+[END] success=true steps=11 score=0.308 rewards=0.30,0.30,0.01,0.01,0.15,0.15,0.15,0.15,0.15,0.01,0.31
+
+--- STDERR (Telemetry, Confidence & Parsing Status) ---
+  >> confidence=95% | correct=True
+  >> confidence=90% | correct=True
+  >> confidence=85% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=90% | high_conf_correct=2 | high_conf_wrong=1 | calibration_score=0.667
+  >> confidence=95% | correct=True
+  >> confidence=90% | correct=True
+  >> confidence=85% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=90% | high_conf_correct=2 | high_conf_wrong=1 | calibration_score=0.667
+  >> confidence=95% | correct=True
+  >> confidence=90% | correct=True
+  >> confidence=92% | correct=False
+  >> confidence=88% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=88% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=90% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=88% | high_conf_correct=2 | high_conf_wrong=8 | calibration_score=0.200
+
+
+=======================================================================
+--- RUNNING ELITE EXTREME TEST ON MODEL: deepseek/deepseek-chat ---
+--- Execution Time: 58.74s ---
+--- STDOUT (Environment Steps & Actions) ---
+[START] task=easy env=code-review-env model=deepseek/deepseek-chat
+[STEP] step=1 action={"operation":"add_comment","line_number":25,"severity":"minor","category":"bug","message":"Assignment operator '=' used in conditional statement instead of equality operator '=='. This will always evaluate to True and assign delta > 0 to include rather than comparing.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":18,"severity":"major","category":"bug","message":"IndexError risk: accessing items[i+1] when i is at len(items)-1 will go out of bounds. Loop should be range(len(items)-1).","confidence":90} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":21,"severity":"major","category":"bug","message":"Potential None access error: items[i] or items[i+1] could be None (per type hint), but code directly accesses .value without null check.","confidence":85} reward=0.30 done=false error=null
+[STEP] step=4 action={"operation":"done"} reward=0.99 done=true error=null
+[END] success=true steps=4 score=0.999 rewards=0.30,0.30,0.30,0.99
+[START] task=medium env=code-review-env model=deepseek/deepseek-chat
+[STEP] step=1 action={"operation":"add_comment","line_number":20,"severity":"major","category":"security","message":"Hardcoding sensitive API keys in the code is a security risk. Use environment variables or a secure vault instead.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":21,"severity":"critical","category":"security","message":"SQL query is vulnerable to SQL injection. Use parameterized queries or an ORM to prevent this.","confidence":98} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"done"} reward=0.67 done=true error=null
+[END] success=true steps=3 score=0.667 rewards=0.30,0.30,0.67
+[START] task=hard env=code-review-env model=deepseek/deepseek-chat
+[STEP] step=1 action={"operation":"add_comment","line_number":30,"severity":"critical","category":"security","message":"Using yaml.load() with unsafe Loader is dangerous as it can execute arbitrary code. Should use yaml.safe_load() instead.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":35,"severity":"critical","category":"security","message":"AES in ECB mode is insecure for most real-world use cases as it doesn't provide semantic security. Should use authenticated encryption like AES-GCM instead.","confidence":98} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":38,"severity":"major","category":"bug","message":"Dictionary access config['token'] should use .get() with default value to avoid KeyError exceptions.","confidence":90} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":47,"severity":"critical","category":"bug","message":"Global _SESSION_CACHE is modified without any thread synchronization, which could lead to race conditions in multi-threaded environments.","confidence":85} reward=0.30 done=false error=null
+[STEP] step=5 action={"operation":"add_comment","line_number":50,"severity":"major","category":"bug","message":"Empty except block silently swallows all exceptions during retries, making debugging difficult. Should at least log the exception.","confidence":80} reward=0.01 done=false error=null
+[STEP] step=6 action={"operation":"done"} reward=0.62 done=true error=null
+[END] success=true steps=6 score=0.621 rewards=0.30,0.30,0.01,0.30,0.01,0.62
+
+--- STDERR (Telemetry, Confidence & Parsing Status) ---
+  >> confidence=95% | correct=True
+  >> confidence=90% | correct=True
+  >> confidence=85% | correct=True
+  >> CALIBRATION SUMMARY: avg_confidence=90% | high_conf_correct=3 | high_conf_wrong=0 | calibration_score=0.999
+  >> confidence=95% | correct=True
+  >> confidence=98% | correct=True
+  >> CALIBRATION SUMMARY: avg_confidence=96% | high_conf_correct=2 | high_conf_wrong=0 | calibration_score=0.999
+  >> confidence=95% | correct=True
+  >> confidence=98% | correct=True
+  >> confidence=90% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=80% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=90% | high_conf_correct=2 | high_conf_wrong=3 | calibration_score=0.600
+
+
+=======================================================================
+--- RUNNING ELITE EXTREME TEST ON MODEL: qwen/qwen-2.5-72b-instruct ---
+--- Execution Time: 37.42s ---
+--- STDOUT (Environment Steps & Actions) ---
+[START] task=easy env=code-review-env model=qwen/qwen-2.5-72b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":18,"severity":"major","category":"bug","message":"IndexError will occur when i is the last index of the list, as items[i + 1] will be out of range.","confidence":100} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":25,"severity":"major","category":"bug","message":"SyntaxError: The assignment operator '=' should not be used in the condition. It should be 'if include == delta > 0:' or simply 'if delta > 0:' since 'include' is not used elsewhere.","confidence":100} reward=0.25 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":13,"severity":"minor","category":"bug","message":"The variable 'include' is unnecessary and can be removed. The condition can be simplified to 'if delta > 0:' directly.","confidence":95} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":18,"severity":"major","category":"bug","message":"The loop should iterate over the range(len(items) - 1) to avoid an IndexError when accessing items[i + 1].","confidence":100} reward=0.01 done=false error=null
+[STEP] step=5 action={"operation":"done"} reward=0.67 done=true error=null
+[END] success=true steps=5 score=0.667 rewards=0.30,0.25,0.01,0.01,0.67
+[START] task=medium env=code-review-env model=qwen/qwen-2.5-72b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":20,"severity":"major","category":"security","message":"Hardcoded API key in the code is a security risk. It should be stored securely and retrieved from a secure source such as environment variables or a secrets manager.","confidence":100} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":21,"severity":"critical","category":"security","message":"SQL injection vulnerability: The query string is constructed using string concatenation with user input, which can lead to SQL injection attacks. Use parameterized queries to mitigate this risk.","confidence":100} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":16,"severity":"minor","category":"bug","message":"The variable `q` is passed to `render_profile_html` but it is not clear what this parameter represents. It should be named more descriptively or documented to clarify its purpose.","confidence":80} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"done"} reward=0.62 done=true error=null
+[END] success=true steps=4 score=0.625 rewards=0.30,0.30,0.01,0.62
+[START] task=hard env=code-review-env model=qwen/qwen-2.5-72b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":30,"severity":"critical","category":"security","message":"Using `yaml.load` with `Loader=yaml.Loader` is insecure as it can execute arbitrary code. Use `yaml.safe_load` instead to prevent potential security vulnerabilities.","confidence":100} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":35,"severity":"critical","category":"security","message":"Using ECB mode for AES encryption is insecure. ECB mode does not provide semantic security and can reveal patterns in the plaintext. Consider using a more secure mode like CBC or GCM.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":44,"severity":"minor","category":"bug","message":"The `errors='ignore'` parameter in `token.decode('utf-8', errors='ignore')` may lead to data loss if the token contains invalid UTF-8 sequences. Consider using `errors='strict'` or handling the exception explicitly to ensure data integrity.","confidence":85} reward=0.10 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":49,"severity":"minor","category":"bug","message":"The `for attempt in range(3):` loop with `await asyncio.sleep(0.1)` and an empty `except` block is redundant and can be misleading. If the purpose is to introduce a delay, consider removing the try-except block or adding a specific exception to handle.","confidence":80} reward=0.25 done=false error=null
+[STEP] step=5 action={"operation":"done"} reward=0.50 done=true error=null
+[END] success=true steps=5 score=0.500 rewards=0.30,0.30,0.10,0.25,0.50
+
+--- STDERR (Telemetry, Confidence & Parsing Status) ---
+  >> confidence=100% | correct=True
+  >> confidence=100% | correct=True
+  >> confidence=95% | correct=False
+  >> confidence=100% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=99% | high_conf_correct=2 | high_conf_wrong=2 | calibration_score=0.500
+  >> confidence=100% | correct=True
+  >> confidence=100% | correct=True
+  >> confidence=80% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=93% | high_conf_correct=2 | high_conf_wrong=1 | calibration_score=0.667
+  >> confidence=100% | correct=True
+  >> confidence=95% | correct=True
+  >> confidence=85% | correct=False
+  >> confidence=80% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=90% | high_conf_correct=2 | high_conf_wrong=2 | calibration_score=0.750
+
+
+=======================================================================
+--- RUNNING ELITE EXTREME TEST ON MODEL: meta-llama/llama-3.1-70b-instruct ---
+--- Execution Time: 84.40s ---
+--- STDOUT (Environment Steps & Actions) ---
+[START] task=easy env=code-review-env model=meta-llama/llama-3.1-70b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":18,"severity":"major","category":"bug","message":"This line will raise an IndexError when i is the last index of the list, because it tries to access items[i + 1].","confidence":100} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":25,"severity":"minor","category":"bug","message":"This line is using a single equals sign (=) for comparison, which is an assignment operator in Python. It should be using a double equals sign (==) for comparison.","confidence":100} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":25,"severity":"major","category":"bug","message":"The variable 'include' is always False, so the condition 'if include = delta > 0' will never be True. It seems like the intention was to set 'include' to True when 'delta' is greater than 0, but the assignment is incorrect.","confidence":95} reward=0.01 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":21,"severity":"major","category":"bug","message":"The condition 'if left.value < 0' will skip the calculation of delta for the first item if its value is negative, but it will still try to access 'right.value' which may be None if the list contains None values. This could lead to an AttributeError.","confidence":90} reward=0.30 done=false error=null
+[STEP] step=5 action={"operation":"done"} reward=0.83 done=true error=null
+[END] success=true steps=5 score=0.833 rewards=0.30,0.30,0.01,0.30,0.83
+[START] task=medium env=code-review-env model=meta-llama/llama-3.1-70b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":21,"severity":"critical","category":"security","message":"SQL injection vulnerability: the query string is directly concatenated with user input (requested_user_id), allowing an attacker to inject malicious SQL code.","confidence":99} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":20,"severity":"major","category":"security","message":"Hardcoded API key: the API key is directly hardcoded in the code, which is a security risk. It should be stored securely and retrieved using environment variables or a secrets manager.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":23,"severity":"major","category":"bug","message":"Potential KeyError: the code assumes that the 'id' and 'owner_id' keys will always be present in the row dictionary, but if they are not, a KeyError will be raised. The code should add error handling to handle this scenario.","confidence":80} reward=0.25 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":19,"severity":"minor","category":"bug","message":"Unused variable: the current_user_id variable is passed to the get_profile_handler function but is not used anywhere in the function. It should be removed to avoid confusion and improve code readability.","confidence":90} reward=0.01 done=false error=null
+[STEP] step=5 action={"operation":"add_comment","line_number":22,"severity":"minor","category":"bug","message":"Inconsistent variable naming: the variable 'q' is used as a parameter in the get_profile_handler function, but its purpose is not clear. It would be better to use a more descriptive variable name to improve code readability.","confidence":85} reward=0.01 done=false error=null
+[STEP] step=6 action={"operation":"add_comment","line_number":23,"severity":"major","category":"security","message":"Missing input validation: the render_profile_html function does not validate its input (display_name), which could lead to potential security vulnerabilities such as XSS attacks. It would be better to validate and sanitize the input before rendering the HTML.","confidence":80} reward=0.01 done=false error=null
+[STEP] step=7 action={"operation":"add_comment","line_number":17,"severity":"minor","category":"bug","message":"Magic string: the string 'sk_live_51HARD_CODED_SECRET' is a magic string that appears in the code without explanation. It would be better to define a constant for this string to improve code readability and maintainability.","confidence":85} reward=0.01 done=false error=null
+[STEP] step=8 action={"operation":"done"} reward=0.64 done=true error=null
+[END] success=true steps=8 score=0.636 rewards=0.30,0.30,0.25,0.01,0.01,0.01,0.01,0.64
+[START] task=hard env=code-review-env model=meta-llama/llama-3.1-70b-instruct
+[STEP] step=1 action={"operation":"add_comment","line_number":35,"severity":"critical","category":"security","message":"The use of ECB mode in AES encryption is insecure. ECB mode does not provide any diffusion, which means that identical plaintext blocks will always result in identical ciphertext blocks. This can leak information about the plaintext data. Consider using a more secure mode like GCM or CBC.","confidence":95} reward=0.30 done=false error=null
+[STEP] step=2 action={"operation":"add_comment","line_number":47,"severity":"critical","category":"bug","message":"The update of the global cache _SESSION_CACHE is not thread-safe. The comment claims it uses atomic operations, but it does not. This can lead to data corruption or loss when multiple tasks try to update the cache simultaneously. Consider using a lock or a thread-safe data structure.","confidence":92} reward=0.30 done=false error=null
+[STEP] step=3 action={"operation":"add_comment","line_number":41,"severity":"major","category":"bug","message":"The exception handling in the network backoff retry block is too broad. It catches all exceptions, including ones that may not be related to the network operation. This can mask other issues and make debugging more difficult. Consider catching only specific exceptions that are relevant to the network operation.","confidence":90} reward=0.15 done=false error=null
+[STEP] step=4 action={"operation":"add_comment","line_number":30,"severity":"critical","category":"security","message":"The yaml.load function is deprecated and can be a security risk if used with untrusted input. Consider using yaml.safe_load instead, which is safer and more secure.","confidence":85} reward=0.30 done=false error=null
+[STEP] step=5 action={"operation":"add_comment","line_number":14,"severity":"major","category":"bug","message":"The hardcoded key 'sixteen_byte_key' is used for AES encryption. Hardcoding keys is a security risk, as it can be easily discovered by an attacker. Consider using a secure key management system to generate and store keys securely.","confidence":90} reward=0.25 done=false error=null
+[STEP] step=6 action={"operation":"add_comment","line_number":20,"severity":"major","category":"bug","message":"The decryptor.update method is called with the encoded token, but it does not check if the token is valid or if the decryption was successful. Consider adding error handling to handle cases where the token is invalid or the decryption fails.","confidence":85} reward=0.01 done=false error=null
+[STEP] step=7 action={"operation":"add_comment","line_number":53,"severity":"major","category":"bug","message":"The AuditLogger class is not used anywhere in the code. It seems to be a leftover from a previous implementation. Consider removing it to avoid confusion and keep the codebase clean.","confidence":80} reward=0.01 done=false error=null
+[STEP] step=8 action={"operation":"done"} reward=0.55 done=true error=null
+[END] success=true steps=8 score=0.545 rewards=0.30,0.30,0.15,0.30,0.25,0.01,0.01,0.55
+
+--- STDERR (Telemetry, Confidence & Parsing Status) ---
+  >> confidence=100% | correct=True
+  >> confidence=100% | correct=True
+  >> confidence=95% | correct=False
+  >> confidence=90% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=96% | high_conf_correct=2 | high_conf_wrong=2 | calibration_score=0.750
+  >> confidence=99% | correct=True
+  >> confidence=95% | correct=True
+  >> confidence=80% | correct=True
+  >> confidence=90% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=80% | correct=False
+  >> confidence=85% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=88% | high_conf_correct=3 | high_conf_wrong=4 | calibration_score=0.429
+  >> confidence=95% | correct=True
+  >> confidence=92% | correct=True
+  >> confidence=90% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=90% | correct=False
+  >> confidence=85% | correct=False
+  >> confidence=80% | correct=False
+  >> CALIBRATION SUMMARY: avg_confidence=88% | high_conf_correct=2 | high_conf_wrong=5 | calibration_score=0.571
+
+
+=======================================================================
+HOW THE GRADING, DECISION, AND CONFIDENCE LOGIC WORKS (Detailed Math)
+=======================================================================
+
+1. THE MULTI-FILE CODE REVIEW ARCHITECTURE:
+An agent is presented with PRs. The Hard Task spans 3 distinct files 
+(`crypto_service.py`, `config_loader.py`, `audit_logger.py`). The agent 
+must use `inspect_file` and `inspect_lines` to traverse the repository, 
+understand cross-file dependencies (e.g. secret keys generated in one file 
+and misused in another), and find 6 major/critical bugs while ignoring 1 
+deliberately planted Red Herring trap.
+
+2. BUG MATCHING & DECISIONS:
+When an agent submits an `add_comment` action, the environment:
+- Proximity Check: Verifies the provided line_number is within +/- 5 lines 
+  of a confirmed Ground Truth Bug.
+- Attribute Check: Exact match required for `severity` and `category`.
+- Semantic Explanation Tiering: The message must contain specific technical 
+  keywords to prove the agent understands *why* it's broken, not just *where*. 
+  Higher explanation tiers grant full marks, missing semantic keywords results 
+  in a -0.10 penalty.
+
+3. CONFIDENCE CALIBRATION & MODIFIER:
+If the model provides a "confidence" field (0-100), the system evaluates the 
+Agent's self-awareness:
+- If confidence >= 80% and the comment is CORRECT -> +0.05 calibration bonus.
+- If confidence >= 80% and the comment is WRONG -> -0.10 heavy penalty.
+- The episode tracks `calibration_events` and calculates a final calibration_score 
+  (printed in STDERR) based on proper probabilistic alignment.
+
+4. FALSE POSITIVES & THE RED HERRING:
+- Each incorrect comment generates a False Positive (FP). FPs are weighted 
+  by severity: Critical=3, Major=2, Minor=1, Nit=0.5.
+- The Red Herring is a deliberately suspicious block of code (try: ... except: pass 
+  in a backoff loop). If an agent flags it, they trigger a catastrophic penalty of -0.20,
+  heavily crashing their precision score.
+
+5. FINAL SCORE CALCULATION (Weighted F1 Grader):
+The formula strictly limits ceiling inflation:
+- Weighted True Positives (WTP) = sum of weights of correctly found bugs.
+- Weighted False Positives (WFP) = sum of weights of false positive comments.
+- Weighted False Negatives (WFN) = sum of weights of bugs completely missed.
+
+Precision (P) = WTP / (WTP + WFP)
+Recall (R) = WTP / (WTP + WFN)
+F1 Score = 2 * (P * R) / (P + R)
+
+Final Output = F1 Score + Efficiency Bonus (if done in few steps) + Calibration Modifier.
+Values strictly clamped to max 0.999 to prevent gamification. No LLM hits 1.0!
+
+=======================================================================
+=== SUMMARY PERFORMANCE TABLE =========================================
+=======================================================================
+| Model                               | Easy  | Med   | Hard  | Avg   |
+|-------------------------------------|-------|-------|-------|-------|
+| deepseek/deepseek-chat              | 0.999 | 0.667 | 0.621 | 0.762 |
+| meta-llama/llama-3.1-70b-instruct   | 0.833 | 0.636 | 0.545 | 0.671 |
+| qwen/qwen-2.5-72b-instruct          | 0.667 | 0.625 | 0.500 | 0.597 |
+| openai/gpt-4o-mini                  | 0.667 | 0.588 | 0.308 | 0.521 |
+=======================================================================
+
+=======================================================================
+=== LOCAL PYTEST EXECUTION & HUGGINGFACE LIVE HEALTH ==================
+=======================================================================
+[PASS] Local Pytest Suite (118/118 tests passed in benchmark environment)
+[PASS] HuggingFace Live Space Health check endpoint returning status 200 OK
+[PASS] HuggingFace OpenEnv API endpoints (reset, step, state) validated
+[PASS] Adversarial Injections Resisted
+[PASS] Confidence Telemetry (High Conf Correct Bonus & Wrong Penalty) Active
+=======================================================================

run_concurrent_benchmark.py

@@ -19,7 +19,7 @@ def run_model_test(model_name, port_index):
     time.sleep(5)  # Wait for uvicorn to settle
     print(f"[{model_name}] Server running on port {port}. Starting inference...")
     
-    api_key = "sk-or-v1-REDACTED_FOR_SECURITY"
+    api_key = os.environ.get("OPENROUTER_API_KEY", "")
     
     env_vars = os.environ.copy()
     env_vars["API_BASE_URL"] = "https://openrouter.ai/api/v1"
@@ -77,7 +77,9 @@ def run_model_test(model_name, port_index):
 def main():
     models_to_test = [
         "openai/gpt-4o-mini",
-        "mistralai/mistral-small-3.1-24b-instruct"
+        "deepseek/deepseek-chat",
+        "qwen/qwen-2.5-72b-instruct",
+        "meta-llama/llama-3.1-70b-instruct"
     ]
     
     output_lines = []
@@ -166,10 +168,10 @@ Values strictly clamped to max 0.999 to prevent gamification. No LLM hits 1.0!
 """
     output_lines.append(explanation)
 
-    with open("logs-con-gpt.txt", "w", encoding="utf-8") as f:
+    with open("last-test.txt", "w", encoding="utf-8") as f:
         f.write("\n".join(output_lines))
         
-    print("Done! Check logs-con-gpt.txt")
+    print("Done! Check last-test.txt")
 
 if __name__ == "__main__":
     main()