Repository Analysis

algorithmicsuperintelligence/optillm

Optimizing inference proxy for LLMs

25.4 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of algorithmicsuperintelligence/optillm, a Python project with 4,178 GitHub stars. SynthScan v2.0 examined 54,977 lines of code across 214 source files, recording 1138 pattern matches distributed across 20 syntactic categories. The overall adjusted score of 25.4 places this repository in the Moderate AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

25.4
Adjusted Score
25.4
Raw Score
100%
Time Factor
2026-07-12
Last Push
4.2K
Stars
Python
Language
55.0K
Lines of Code
214
Files
1.1K
Pattern Hits
2026-07-14
Scan Date
0.08
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 4HIGH 14MEDIUM 75LOW 1045

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 1138 distinct pattern matches across 20 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Excessive Try-Catch Wrapping276 hits · 286 pts
SeverityFileLineSnippetContext
LOWoptillm/thinkdeeper_mlx.py197 except Exception as e:CODE
LOWoptillm/thinkdeeper_mlx.py239 except Exception as e:CODE
LOWoptillm/thinkdeeper_mlx.py291 except Exception as e:CODE
LOWoptillm/thinkdeeper_mlx.py326 except Exception as e:CODE
LOWoptillm/reread.py68 except Exception as e:CODE
LOWoptillm/batching.py174 except Exception as e:CODE
LOWoptillm/batching.py213 except Exception as e:CODE
LOWoptillm/batching.py271 except Exception as e:CODE
LOWoptillm/server.py171 except Exception as e:CODE
LOWoptillm/server.py280 except Exception as e:CODE
LOWoptillm/server.py336 except Exception as e:CODE
LOWoptillm/server.py878 except Exception as e:CODE
LOWoptillm/server.py986 except Exception as e:CODE
LOWoptillm/server.py1253 except Exception as e:CODE
LOWoptillm/server.py1334 except Exception as e:CODE
LOWoptillm/bon.py48 except Exception as e:CODE
LOWoptillm/bon.py80 except Exception as fallback_error:CODE
LOWoptillm/litellm_wrapper.py62 except Exception as e:CODE
MEDIUMoptillm/litellm_wrapper.py64 print(f"Error fetching LiteLLM models: {str(e)}")CODE
MEDIUMoptillm/litellm_wrapper.py43def list():CODE
LOWoptillm/thinkdeeper.py198 except Exception as e:CODE
LOWoptillm/z3_solver.py139 except Exception:CODE
LOWoptillm/z3_solver.py169 except Exception as e:CODE
LOWoptillm/conversation_logger.py217 except Exception as e:CODE
LOWoptillm/conversation_logger.py239 except Exception:CODE
LOWoptillm/inference.py73 except Exception as e:CODE
LOWoptillm/inference.py340 except Exception as e:CODE
LOWoptillm/inference.py355 except Exception as e:CODE
LOWoptillm/inference.py410 except Exception as e:CODE
LOWoptillm/inference.py446 except Exception as e:CODE
LOWoptillm/inference.py460 except Exception as fallback_e:CODE
LOWoptillm/inference.py473 except Exception as e:CODE
LOWoptillm/inference.py565 except Exception as e:CODE
LOWoptillm/inference.py577 except Exception as e:CODE
LOWoptillm/inference.py749 except Exception as e:CODE
LOWoptillm/inference.py1103 except Exception as e:CODE
LOWoptillm/inference.py1164 except Exception as e:CODE
LOWoptillm/inference.py1202 except Exception as e:CODE
LOWoptillm/inference.py1229 except Exception as e:CODE
LOWoptillm/inference.py1264 except Exception as e:CODE
LOWoptillm/inference.py1276 except Exception as e:CODE
LOWoptillm/inference.py2153 except Exception as e:CODE
LOWoptillm/inference.py2179 except Exception as e:CODE
LOWoptillm/moa.py54 except Exception as e:CODE
LOWoptillm/moa.py93 except Exception as fallback_error:CODE
LOWoptillm/plugins/genselect_plugin.py197 except Exception as e:CODE
LOWoptillm/plugins/genselect_plugin.py214 except Exception as gen_error:CODE
LOWoptillm/plugins/genselect_plugin.py265 except Exception as e:CODE
LOWoptillm/plugins/deep_research_plugin.py94 except Exception as e:CODE
LOWoptillm/plugins/deep_research_plugin.py162 except Exception as e:CODE
LOWoptillm/plugins/coc_plugin.py228 except Exception as e:STRING
LOWoptillm/plugins/coc_plugin.py281 except Exception as e:STRING
LOWoptillm/plugins/readurls_plugin.py112 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py204 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py227 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py245 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py257 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py330 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py368 except Exception as e:CODE
LOWoptillm/plugins/mcp_plugin.py387 except Exception as e:CODE
216 more matches not shown…
Hyper-Verbose Identifiers268 hits · 269 pts
SeverityFileLineSnippetContext
LOWoptillm/batching.py101 def _validate_batch_compatibility(self, requests: List[BatchRequest]) -> None:CODE
LOWoptillm/server.py206def normalize_message_content(messages):CODE
LOWoptillm/server.py493def execute_combined_approaches(approaches, system_prompt, initial_query, client, model, request_config: dict = None):CODE
LOWoptillm/server.py502async def execute_parallel_approaches(approaches, system_prompt, initial_query, client, model, request_config: dict = NoCODE
LOWoptillm/server.py558def generate_streaming_response(final_response, model):CODE
LOWoptillm/server.py633def tagged_conversation_to_messages(response_text):CODE
LOWoptillm/leap.py46 def extract_examples_from_query(self, initial_query: str) -> List[Tuple[str, str]]:CODE
LOWoptillm/leap.py133 def generate_low_level_principles(self, mistakes: List[Tuple[str, str, str, str]]) -> List[str]:STRING
LOWoptillm/leap.py169 def generate_high_level_principles(self) -> List[str]:STRING
LOWoptillm/rstar.py283 def create_discriminator_prompt(self, partial_trajectory: List[Node]) -> str:CODE
LOWoptillm/entropy_decoding.py22def calculate_varentropy_logsoftmax(logits: torch.Tensor, axis: int = -1) -> Tuple[torch.Tensor, torch.Tensor]:CODE
LOWoptillm/entropy_decoding.py29def calculate_attention_metrics(attention_weights: torch.Tensor) -> Dict[str, torch.Tensor]:CODE
LOWoptillm/self_consistency.py58 def cluster_similar_responses(self, responses: List[str]) -> List[List[str]]:CODE
LOWoptillm/self_consistency.py100def advanced_self_consistency_approach(system_prompt: str, initial_query: str, client, model: str, request_config: dict CODE
LOWoptillm/cot_decoding.py44def aggregate_paths_based_on_scores(paths: List[Tuple[str, float]]) -> Tuple[str, float]:CODE
LOWoptillm/z3_solver.py18def prepare_execution_globals():CODE
LOWoptillm/z3_solver.py273 def extract_and_validate_expressions(self, analysis: str) -> str:STRING
LOWoptillm/inference.py772 def _compute_prompt_signature(self, prompt: str) -> str:CODE
LOWoptillm/inference.py1322 def get_optimized_generation_config(self, generation_params: Optional[Dict[str, Any]] = None) -> Dict:CODE
LOWoptillm/inference.py1444 def setup_efficient_attention(self):CODE
LOWoptillm/inference.py1506 def optimize_generation_params(self, prompt: str) -> Dict[str, Any]:CODE
LOWoptillm/inference.py1539 def _create_stopping_criteria(self, stop_sequences: List[str], input_length: int):CODE
LOWoptillm/plansearch.py61 def generate_derived_observations(self, problem: str, observations: List[str], num_new_observations: int = 2) -> LisCODE
LOWoptillm/cepo/cepo.py257def llm_call_reason_effort_fallback(STRING
LOWoptillm/cepo/cepo.py701def rate_completions_absolute(system_prompt: str, initial_query: str, client: Any, model: str, completions: list[str], cSTRING
LOWoptillm/cepo/cepo.py790def rate_completions_pairwise(system_prompt: str, initial_query: str, client: Any, model: str, completions: list[str], cSTRING
LOWoptillm/cepo/cepo.py880def extract_answer_mathverify(response_str, last_n_chars=100):STRING
LOWoptillm/cepo/cepo.py953def rate_completions_majority(completions: list[str], last_n_chars: int = 150) -> tuple[str, int, dict]:STRING
LOWoptillm/plugins/deepthink_plugin.py150def _extract_task_description(initial_query: str, system_prompt: str) -> str:CODE
LOWoptillm/plugins/executecode_plugin.py62def should_execute_request_code(query: str) -> bool:CODE
LOWoptillm/plugins/mcp_plugin.py588 def get_capabilities_description(self) -> str:CODE
LOWoptillm/plugins/mcp_plugin.py627async def execute_tool_with_session(session: LoggingClientSession, tool_name: str, arguments: Dict[str, Any]) -> Dict[stCODE
LOWoptillm/plugins/web_search_plugin.py187 def wait_for_captcha_resolution(self, max_wait: int = 300) -> bool:CODE
LOWoptillm/plugins/json_plugin.py54 def parse_json_schema_to_pydantic(self, schema_str: str) -> type[BaseModel]:CODE
LOWoptillm/plugins/json_plugin.py116def extract_schema_from_response_format(response_format: Dict[str, Any]) -> Optional[str]:CODE
LOWoptillm/plugins/compact_plugin.py93def parse_tagged_conversation(text: str) -> List[Tuple[str, str]]:CODE
LOWoptillm/plugins/proxy_plugin.py29def _test_system_message_support(proxy_client, model: str) -> bool:CODE
LOWoptillm/plugins/proxy_plugin.py63def _get_system_message_support(proxy_client, model: str) -> bool:CODE
LOWoptillm/plugins/proxy_plugin.py78def _format_messages_for_model(system_prompt: str, initial_query: str,CODE
LOWoptillm/plugins/spl/generation.py169def should_create_new_strategy(problem_type: str, query: str, existing_strategies: List[Strategy], db: StrategyDatabase)CODE
LOWoptillm/plugins/spl/evaluation.py24def select_relevant_strategies(query: str, problem_type: str, db: Any, learning_mode: bool = False, max_strategies: int CODE
LOWoptillm/plugins/spl/evaluation.py106def evaluate_strategy_effectiveness(response: str, thinking: Optional[str], selected_strategies: List[Strategy], client,CODE
LOWoptillm/plugins/spl/strategy.py244 def get_strategies_for_problem(self, problem_type: str) -> List[Strategy]:CODE
LOWoptillm/plugins/spl/strategy.py255 def update_strategy_performance(self, strategy_id: str, success: bool) -> None:CODE
LOWoptillm/plugins/spl/strategy.py516 def limit_strategies_per_type(self, max_per_type: int = MAX_STRATEGIES_PER_TYPE) -> int:CODE
LOWoptillm/plugins/proxy/client.py179 def _test_system_message_support(self, provider, model: str) -> bool:CODE
LOWoptillm/plugins/proxy/client.py210 def _format_messages_for_provider(self, provider, model: str, messages: list) -> list:CODE
LOWoptillm/plugins/proxy/client.py246 def _make_request_with_timeout(self, provider, request_kwargs):CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py37 def generate_with_uncertainty_routing(CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py114 def _generate_multiple_samples(CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py249 def _calculate_answer_consistency(self, answers: List[str]) -> float:CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py285 def _calculate_reasoning_consistency(self, thinking_texts: List[str]) -> float:CODE
LOWoptillm/plugins/deepthink/self_discover.py36 def discover_reasoning_structure(self, task_description: str, task_examples: List[str] = None) -> Dict[str, Any]:CODE
LOWoptillm/plugins/deepthink/self_discover.py355 def _clean_and_parse_strategy(self, text: str) -> Dict[str, Any]:CODE
LOWoptillm/plugins/deep_research/research_engine.py194def validate_report_completeness(text: str) -> Dict[str, Any]:CODE
LOWoptillm/plugins/deep_research/research_engine.py612 def generate_preliminary_draft(self, system_prompt: str, initial_query: str) -> str:STRING
LOWoptillm/plugins/deep_research/research_engine.py757 def perform_gap_targeted_search(self, gaps: List[Dict[str, str]]) -> str:STRING
LOWoptillm/plugins/deep_research/research_engine.py803 def denoise_draft_with_retrieval(self, current_draft: str, retrieval_content: str, original_query: str) -> str:STRING
LOWoptillm/plugins/longcepo/chunking.py124def split_into_granular_chunks(CODE
LOWoptillm/autothink/classifier.py141 def get_complexity_with_confidence(self, text: str) -> Tuple[str, float]:CODE
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Unused Imports221 hits · 205 pts
SeverityFileLineSnippetContext
LOWoptillm/thinkdeeper_mlx.py7CODE
LOWoptillm/thinkdeeper_mlx.py14CODE
LOWoptillm/batching.py20CODE
LOWoptillm/server.py6CODE
LOWoptillm/server.py17CODE
LOWoptillm/server.py18CODE
LOWoptillm/server.py19CODE
LOWoptillm/bon.py2CODE
LOWoptillm/rstar.py4CODE
LOWoptillm/rstar.py4CODE
LOWoptillm/rstar.py7CODE
LOWoptillm/rstar.py8CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/__init__.py17CODE
LOWoptillm/entropy_decoding.py4CODE
LOWoptillm/litellm_wrapper.py1CODE
LOWoptillm/litellm_wrapper.py6CODE
LOWoptillm/cot_decoding.py3CODE
LOWoptillm/cot_decoding.py4CODE
LOWoptillm/thinkdeeper.py4CODE
LOWoptillm/z3_solver.py2CODE
LOWoptillm/z3_solver.py68CODE
LOWoptillm/inference.py10CODE
LOWoptillm/inference.py20CODE
LOWoptillm/inference.py84CODE
LOWoptillm/inference.py1071CODE
LOWoptillm/moa.py2CODE
LOWoptillm/mcts.py6CODE
LOWoptillm/cepo/cepo.py14CODE
LOWoptillm/plugins/genselect_plugin.py14CODE
LOWoptillm/plugins/genselect_plugin.py15CODE
LOWoptillm/plugins/coc_plugin.py21CODE
LOWoptillm/plugins/coc_plugin.py23CODE
LOWoptillm/plugins/coc_plugin.py24CODE
LOWoptillm/plugins/coc_plugin.py25CODE
LOWoptillm/plugins/coc_plugin.py26CODE
LOWoptillm/plugins/executecode_plugin.py7CODE
LOWoptillm/plugins/readurls_plugin.py4CODE
LOWoptillm/plugins/mcp_plugin.py12CODE
LOWoptillm/plugins/mcp_plugin.py13CODE
LOWoptillm/plugins/mcp_plugin.py14CODE
LOWoptillm/plugins/mcp_plugin.py17CODE
LOWoptillm/plugins/mcp_plugin.py17CODE
LOWoptillm/plugins/mcp_plugin.py17CODE
LOWoptillm/plugins/mcp_plugin.py26CODE
LOWoptillm/plugins/router_plugin.py6CODE
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Redundant / Tautological Comments72 hits · 110 pts
SeverityFileLineSnippetContext
LOWoptillm/thinkdeeper_mlx.py71 # Check if current sequence ends with any thought switch sequenceCOMMENT
LOWoptillm/thinkdeeper_mlx.py157 # Check if we've reached minimum thinking tokensCOMMENT
LOWoptillm/thinkdeeper_mlx.py277 # Check if response starts with the promptCOMMENT
LOWoptillm/server.py459 # Check if the plugin accepts request_configCOMMENT
LOWoptillm/server.py464 # Check if the plugin function is asyncCOMMENT
LOWoptillm/server.py832 # Check if any of the approaches is 'none'COMMENT
LOWoptillm/server.py862 # Check if the response is a full dict (like from proxy plugin or none approach)COMMENT
LOWoptillm/server.py1151 # Check if we can use true batching (all requests compatible and using 'none' approach)COMMENT
LOWoptillm/server.py1187 # Check if any of the approaches is 'none'COMMENT
LOWoptillm/server.py1035 if extra and extra[0]: # Check if there are choices for this argumentCODE
LOWoptillm/bon.py44 # Check if any valid completions were generatedCOMMENT
LOWoptillm/rstar.py307 # Check if the answer is a numberCOMMENT
LOWoptillm/thinkdeeper.py62 # Check if current sequence ends with any thought switch sequenceCOMMENT
LOWoptillm/thinkdeeper.py92 # Check if we need to force end thinkingCOMMENT
LOWoptillm/thinkdeeper.py112 # Check if this is a thought-switching token (only if not in conclusion phase)COMMENT
LOWoptillm/inference.py1808 # Check if should use MLXCOMMENT
LOWoptillm/inference.py1897 # Check if this decoding approach is supported for MLXCOMMENT
LOWoptillm/inference.py1994 # Check if we're using MLX pipelineCOMMENT
LOWoptillm/moa.py50 # Check if any valid completions were generatedCOMMENT
LOWoptillm/plugins/deepthink_plugin.py104 # Check if response is an error message or emptyCOMMENT
LOWoptillm/plugins/mcp_plugin.py562 # Check if we successfully connected to any serversCOMMENT
LOWoptillm/plugins/mcp_plugin.py881 # Check if the model wants to use any toolsCOMMENT
LOWoptillm/plugins/web_search_plugin.py240 # Check if we hit a CAPTCHA immediatelyCOMMENT
LOWoptillm/plugins/web_search_plugin.py307 # Check if it's a CAPTCHA pageCOMMENT
LOWoptillm/plugins/web_search_plugin.py382 # Check if this element has both h3 and a linkCOMMENT
LOWoptillm/plugins/web_search_plugin.py522 # Check if this is a search command with empty query (e.g., "search for" with nothing after)COMMENT
LOWoptillm/plugins/json_plugin.py80 # Check if field is requiredCOMMENT
LOWoptillm/plugins/json_plugin.py122 # Check if it's the OpenAI formatCOMMENT
LOWoptillm/plugins/proxy_plugin.py179 # Check if model contains an approach pattern (backward compatibility)COMMENT
LOWoptillm/plugins/spl/strategy.py453 # Check if strategies are of the same problem typeCOMMENT
LOWoptillm/plugins/spl/utils.py28 # Check if there are thinking tagsCOMMENT
LOWoptillm/plugins/spl/main.py57 # Check if we should enable learning modeCOMMENT
LOWoptillm/plugins/proxy/client.py212 # Check if there's a system messageCOMMENT
LOWoptillm/plugins/proxy/client.py253 # Check if it's a timeout errorCOMMENT
LOWoptillm/plugins/proxy/approach_handler.py32 # Check if it's an approachCOMMENT
LOWoptillm/plugins/proxy/approach_handler.py40 # Check if it's a pluginCOMMENT
LOWoptillm/plugins/proxy/approach_handler.py140 # Check if it has required attributesCOMMENT
LOWoptillm/plugins/proxy/approach_handler.py164 # Check if handler accepts request_configCOMMENT
LOWoptillm/plugins/deep_research/session_state.py31 # Check if session exists and is activeCOMMENT
LOWoptillm/plugins/deep_research/research_engine.py244 # Check if section is mostly placeholdersCOMMENT
LOWoptillm/plugins/deep_research/research_engine.py764 # Check if session manager is availableSTRING
LOWoptillm/plugins/deep_research/research_engine.py455 # Check if session manager is availableSTRING
LOWoptillm/plugins/longcepo/chunking.py77 # Check if the last one exceedsCOMMENT
LOWoptillm/autothink/classifier.py37 # Check if adaptive-classifier is installedCOMMENT
LOWoptillm/autothink/steering.py120 # Check if item has the required fieldsCOMMENT
LOWoptillm/autothink/steering.py444 # Check if the token is positive or negativeCOMMENT
LOWoptillm/autothink/processor.py204 # Check if current sequence ends with any thought switch sequenceCOMMENT
LOWoptillm/autothink/processor.py271 # Check if we need to force end thinkingCOMMENT
LOWoptillm/autothink/processor.py295 # Check if this is a thought-switching token (only if not in conclusion phase)COMMENT
LOWoptillm/mars/mars.py415 # Iterate through list to find first valid answerCOMMENT
LOWoptillm/mars/answer_extraction.py133 # Check if this looks like a proof problem (geometry, proofs, etc.)COMMENT
LOWoptillm/mars/verifier.py153 # Check if we've reached the thresholdCOMMENT
LOWtests/test_plugins.py56 # Check if known plugins are loadedCOMMENT
LOWtests/test_mars_imo25.py175 # Check if the answer "4" appears in the responseCOMMENT
LOWtests/test_json_plugin.py321 # Check if required field existsCOMMENT
LOWtests/test_mcp_plugin.py358 # Check if npx is availableCOMMENT
LOWtests/test_conversation_logging_server.py37 # Check if server is already runningCOMMENT
LOWtests/run_tests.sh9# Check if optillm server is runningCOMMENT
LOWtests/run_tests.sh30# Check if optillm server is runningCOMMENT
LOWtests/test_privacy_plugin_performance.py90 # Check if required dependencies are availableCOMMENT
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Self-Referential Comments34 hits · 104 pts
SeverityFileLineSnippetContext
MEDIUMoptillm/thinkdeeper_mlx.py104 # Initialize tracking variablesCOMMENT
MEDIUMoptillm/cepo/cepo.py738 # Create a fresh conversation with proper role alternation for each completionSTRING
MEDIUMoptillm/cepo/cepo.py833 # Create a fresh conversation for each comparison with proper system→user structureSTRING
MEDIUMoptillm/plugins/deep_research_plugin.py145 # Create a wrapped client with extended timeout for deep researchCOMMENT
MEDIUMoptillm/plugins/coc_plugin.py132 # Create a notebook with the codeSTRING
MEDIUMoptillm/plugins/mcp_plugin.py231# Create a custom ClientSession that logs all communicationCOMMENT
MEDIUMoptillm/plugins/router_plugin.py67 # Create the OptILMClassifierCOMMENT
MEDIUMoptillm/plugins/privacy_plugin.py85 # Create a reverse mapping of placeholders to entity namesCOMMENT
MEDIUMoptillm/plugins/privacy_plugin.py133 # Create a mapping between entity types and countersCOMMENT
MEDIUMoptillm/plugins/proxy_plugin.py68 # Create a unique cache key based on model and base_urlCOMMENT
MEDIUMoptillm/plugins/spl/generation.py139 # Create a new strategy object using the provided database for ID generationCOMMENT
MEDIUMoptillm/plugins/spl/generation.py154 # Create a minimal fallback strategy with a unique IDCOMMENT
MEDIUMoptillm/plugins/spl/evaluation.py230 # Create a copy of the strategy with the refined textCOMMENT
MEDIUMoptillm/plugins/spl/strategy.py494 # Create a new merged strategyCOMMENT
MEDIUMoptillm/plugins/spl/main.py94 # Create a new strategyCOMMENT
MEDIUMoptillm/plugins/spl/main.py149 # Create a copy of request_config without spl_learningCOMMENT
MEDIUMoptillm/plugins/deep_research/research_engine.py606 # Create a focused query combining the original topic with the missing aspectSTRING
MEDIUMoptillm/autothink/steering.py363 # Create a new reference for the modified hidden statesCOMMENT
MEDIUMoptillm/autothink/steering.py367 # Create a new tuple with the modified hidden statesCOMMENT
MEDIUMoptillm/autothink/steering.py140 # Create the steering vector dictionaryCOMMENT
MEDIUMtests/test_plugins.py222 # Create a mock client with a mock response that has all token countsCOMMENT
MEDIUMtests/test_batching.py193 # Create the pipeline - this will download the model if neededCOMMENT
MEDIUMtests/test_batching.py172 # Create a real cache manager instead of mockCOMMENT
MEDIUMtests/test_batching.py213 # Create the pipelineCOMMENT
MEDIUMtests/test_privacy_plugin_performance.py201 # Create a mock analyzer instanceCOMMENT
MEDIUMtests/test_mars_parallel.py217 # Create a client that will cause some agents to failCOMMENT
MEDIUMtests/test_mars_parallel.py257 # Create a mock ThreadPoolExecutorCOMMENT
MEDIUMscripts/eval_aime_benchmark.py43# Define the thought transition phrases to trackCOMMENT
MEDIUMscripts/eval_aime_benchmark.py388 # Create a failed attempt recordCOMMENT
MEDIUMscripts/eval_aime_benchmark.py800 # Create a timestamped ID for this responseCOMMENT
MEDIUMscripts/eval_aime_benchmark.py841 # Create a set of already processed indexes for efficient lookupCOMMENT
MEDIUMscripts/eval_optillmbench.py742 # Create a summary DataFrame for easier analysisCOMMENT
MEDIUMscripts/eval_optillmbench.py23# Define the approaches to testCOMMENT
MEDIUMscripts/eval_math500_benchmark.py753 # Create a set of already processed indexes for efficient lookupCOMMENT
Deep Nesting107 hits · 90 pts
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LOWoptillm/thinkdeeper_mlx.py79CODE
LOWoptillm/batching.py129CODE
LOWoptillm/batching.py136CODE
LOWoptillm/server.py62CODE
LOWoptillm/server.py287CODE
LOWoptillm/server.py362CODE
LOWoptillm/server.py396CODE
LOWoptillm/server.py511CODE
LOWoptillm/server.py602CODE
LOWoptillm/server.py705CODE
LOWoptillm/server.py1106CODE
LOWoptillm/server.py1133CODE
LOWoptillm/bon.py7CODE
LOWoptillm/entropy_decoding.py125CODE
LOWoptillm/pvg.py54CODE
LOWoptillm/thinkdeeper.py71CODE
LOWoptillm/conversation_logger.py220CODE
LOWoptillm/inference.py479CODE
LOWoptillm/inference.py937CODE
LOWoptillm/inference.py1237CODE
LOWoptillm/inference.py1444CODE
LOWoptillm/inference.py1458CODE
LOWoptillm/inference.py1566CODE
LOWoptillm/inference.py1834CODE
LOWoptillm/moa.py7CODE
LOWoptillm/cepo/cepo.py338CODE
LOWoptillm/plugins/deep_research_plugin.py53CODE
LOWoptillm/plugins/coc_plugin.py123CODE
LOWoptillm/plugins/executecode_plugin.py25CODE
LOWoptillm/plugins/readurls_plugin.py27CODE
LOWoptillm/plugins/mcp_plugin.py627CODE
LOWoptillm/plugins/mcp_plugin.py664CODE
LOWoptillm/plugins/mcp_plugin.py742CODE
LOWoptillm/plugins/mcp_plugin.py795CODE
LOWoptillm/plugins/mcp_plugin.py335CODE
LOWoptillm/plugins/mcp_plugin.py472CODE
LOWoptillm/plugins/router_plugin.py116CODE
LOWoptillm/plugins/web_search_plugin.py57CODE
LOWoptillm/plugins/web_search_plugin.py187CODE
LOWoptillm/plugins/web_search_plugin.py224CODE
LOWoptillm/plugins/json_plugin.py116CODE
LOWoptillm/plugins/json_plugin.py54CODE
LOWoptillm/plugins/spl/evaluation.py24CODE
LOWoptillm/plugins/spl/strategy.py151CODE
LOWoptillm/plugins/spl/strategy.py359CODE
LOWoptillm/plugins/spl/strategy.py442CODE
LOWoptillm/plugins/spl/main.py36CODE
LOWoptillm/plugins/proxy/client.py210CODE
LOWoptillm/plugins/proxy/client.py258CODE
LOWoptillm/plugins/proxy/approach_handler.py63CODE
LOWoptillm/plugins/proxy/approach_handler.py107CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py309CODE
LOWoptillm/plugins/deepthink/self_discover.py302CODE
LOWoptillm/plugins/deep_research/session_state.py21CODE
LOWoptillm/plugins/deep_research/research_engine.py399CODE
LOWoptillm/plugins/deep_research/research_engine.py494CODE
LOWoptillm/plugins/deep_research/research_engine.py664CODE
LOWoptillm/plugins/deep_research/research_engine.py871CODE
LOWoptillm/plugins/deep_research/research_engine.py967CODE
LOWoptillm/plugins/longcepo/chunking.py20CODE
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Modern Structural Boilerplate77 hits · 78 pts
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LOWoptillm/thinkdeeper_mlx.py10logger = logging.getLogger(__name__)CODE
LOWoptillm/reread.py5logger = logging.getLogger(__name__)CODE
LOWoptillm/batching.py24logger = logging.getLogger(__name__)CODE
LOWoptillm/server.py43logger = logging.getLogger(__name__)CODE
LOWoptillm/leap.py10logger = logging.getLogger(__name__)CODE
LOWoptillm/rto.py6logger = logging.getLogger(__name__)CODE
LOWoptillm/bon.py5logger = logging.getLogger(__name__)CODE
LOWoptillm/rstar.py14logger = logging.getLogger(__name__)CODE
LOWoptillm/__init__.py37__all__ = [CODE
LOWoptillm/pvg.py7logger = logging.getLogger(__name__)CODE
LOWoptillm/self_consistency.py7logger = logging.getLogger(__name__)CODE
LOWoptillm/thinkdeeper.py7logger = logging.getLogger(__name__)CODE
LOWoptillm/conversation_logger.py12logger = logging.getLogger(__name__)CODE
LOWoptillm/conversation_logger.py251def set_global_logger(logger_instance: 'ConversationLogger') -> None:CODE
LOWoptillm/inference.py32logger = logging.getLogger(__name__)CODE
LOWoptillm/moa.py5logger = logging.getLogger(__name__)CODE
LOWoptillm/cot_reflection.py6logger = logging.getLogger(__name__)CODE
LOWoptillm/plansearch.py6logger = logging.getLogger(__name__)CODE
LOWoptillm/mcts.py9logger = logging.getLogger(__name__)CODE
LOWoptillm/cepo/cepo.py18logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/genselect_plugin.py17logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/deepthink_plugin.py15logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/coc_plugin.py32logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/memory_plugin.py19logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/json_plugin.py13logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/compact_plugin.py25logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy_plugin.py15logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/majority_voting_plugin.py13logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/spl/generation.py23logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/spl/evaluation.py22logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/spl/__init__.py7__all__ = ['run_spl']CODE
LOWoptillm/plugins/spl/strategy.py25logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/spl/strategy.py111 def update_strategy(self, new_strategy_text: str) -> None:CODE
LOWoptillm/plugins/spl/strategy.py255 def update_strategy_performance(self, strategy_id: str, success: bool) -> None:CODE
LOWoptillm/plugins/spl/utils.py13logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/spl/main.py34logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy/config.py12logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy/health.py9logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy/client.py14logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy/__init__.py8__all__ = ['ProxyConfig', 'ProxyClient', 'RouterFactory', 'HealthChecker']CODE
LOWoptillm/plugins/proxy/approach_handler.py11logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/proxy/routing.py10logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/deepthink/uncertainty_cot.py15logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/deepthink/__init__.py11__all__ = ['SelfDiscover', 'UncertaintyRoutedCoT']CODE
LOWoptillm/plugins/deepthink/self_discover.py14logger = logging.getLogger(__name__)CODE
LOWoptillm/plugins/longcepo/__init__.py10__all__ = ['run_longcepo']CODE
LOWoptillm/plugins/longcepo/utils.py8logger = logging.getLogger(__name__)CODE
LOWoptillm/autothink/classifier.py13logger = logging.getLogger(__name__)CODE
LOWoptillm/autothink/steering.py16logger = logging.getLogger(__name__)CODE
LOWoptillm/autothink/__init__.py7__all__ = ["autothink_decode", "AutoThinkProcessor"]CODE
LOWoptillm/autothink/processor.py17logger = logging.getLogger(__name__)CODE
LOWoptillm/autothink/autothink.py14logger = logging.getLogger(__name__)CODE
LOWoptillm/autothink/example.py20logger = logging.getLogger(__name__)CODE
LOWoptillm/utils/answer_extraction.py13logger = logging.getLogger(__name__)CODE
LOWoptillm/deepconf/deepconf.py14logger = logging.getLogger(__name__)CODE
LOWoptillm/deepconf/confidence.py16logger = logging.getLogger(__name__)CODE
LOWoptillm/deepconf/__init__.py10__all__ = ['deepconf_decode']CODE
LOWoptillm/deepconf/processor.py21logger = logging.getLogger(__name__)CODE
LOWoptillm/mars/mars.py28logger = logging.getLogger(__name__)CODE
LOWoptillm/mars/aggregator.py17logger = logging.getLogger(__name__)CODE
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Hallucination Indicators4 hits · 55 pts
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CRITICALoptillm/plugins/deep_research_plugin.py97 return self.parent.client.chat.completions.create(**kwargs)CODE
CRITICALoptillm/plugins/deep_research_plugin.py102 return self.parent.client.chat.completions.create(**kwargs)CODE
CRITICALoptillm/plugins/deep_research_plugin.py108 return self.parent.client.chat.completions.create(**kwargs)CODE
CRITICALoptillm/plugins/proxy/client.py359 return self.proxy_client.fallback_client.chat.completions.create(**fallback_kwargs)CODE
AI Slop Vocabulary20 hits · 41 pts
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MEDIUMoptillm/inference.py392 # Use robust MLX generation with multiple fallback approachesCOMMENT
LOWoptillm/plugins/deep_research_plugin.py105 # For other clients (like OptILLM), just pass throughCOMMENT
MEDIUMoptillm/plugins/deep_research_plugin.py136 max_sources = config.get("max_sources", 30) # Balanced for comprehensive coverageCODE
LOWoptillm/plugins/proxy/routing.py62 # If we've cycled through all providers, just return first availableCOMMENT
MEDIUMoptillm/plugins/deepthink/self_discover.py269 """Parse JSON structure with robust error handling and cleanup."""STRING
MEDIUMoptillm/plugins/longcepo/prompts.py4MAPREDUCE_SYSTEM_PROMPT = """You are globally celebrated as a preeminent expert in the field of digital document analysiCODE
MEDIUMoptillm/plugins/longcepo/prompts.py10PLANNING_SYSTEM_PROMPT = """As an intelligent assistant, your primary objective is to answer a user question as accurateCODE
MEDIUMoptillm/plugins/longcepo/prompts.py10PLANNING_SYSTEM_PROMPT = """As an intelligent assistant, your primary objective is to answer a user question as accurateCODE
MEDIUMoptillm/utils/answer_extraction.py38 # First try math-verify for robust mathematical parsingCOMMENT
MEDIUMoptillm/mars/mars.py269 # Log comprehensive summaryCOMMENT
MEDIUMoptillm/mars/mars.py614 """Log comprehensive overview of all solutions before synthesis"""STRING
MEDIUMoptillm/mars/verifier.py25 """Run comprehensive verification on all solutions in workspace"""STRING
MEDIUMoptillm/mars/verifier.py60 """Run comprehensive verification on all solutions in workspace with parallel execution"""STRING
MEDIUMtests/test_mars_parallel.py370 # Analyze the comprehensive logsCOMMENT
MEDIUMtests/test_mars_parallel.py446 # Verify we have comprehensive loggingCOMMENT
MEDIUMscripts/eval_imobench_proof.py327 """Analyze and print comprehensive statistics with full credit prioritized"""STRING
MEDIUMscripts/eval_optillmbench.py142 # 1. If it's all on one line, use a more comprehensive regexCOMMENT
MEDIUMscripts/eval_optillmbench.py752 """Generate a comprehensive report comparing all approaches."""STRING
MEDIUMscripts/eval_imo25_benchmark.py616 """Analyze and print comprehensive statistics of IMO evaluation results"""STRING
MEDIUMscripts/eval_imobench_answer.py228 """Analyze and print comprehensive statistics"""STRING
Docstring Block Structure6 hits · 30 pts
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HIGHoptillm/batching.py231 Add a request to be batched Args: request_data: The request data dictionary STRING
HIGHoptillm/cepo/cepo.py263 Call LLM with fallback on reasoning effort levels. This function wraps `llm_call` with retry and degradation lSTRING
HIGHoptillm/plugins/proxy/config.py182 Validate configuration structure and values. Args: config: Configuration to validaSTRING
HIGHoptillm/plugins/deepthink/self_discover.py37 Stage 1: Discover reasoning structure for the given task. Args: task_description: STRING
HIGHoptillm/deepconf/deepconf.py22 Main DeepConf decoding function for integration with OptILLM. Implements confidence-aware reasoning with eSTRING
HIGHoptillm/deepconf/deepconf.py123 Validate and normalize DeepConf configuration. Args: config: Input configuration dictionary STRING
Decorative Section Separators8 hits · 27 pts
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MEDIUMtests/test_plugins.py431# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_plugins.py435# ---------------------------------------------------------------------------COMMENT
MEDIUMscripts/eval_imobench_proof.py344 # ========================================================================COMMENT
MEDIUMscripts/eval_imobench_proof.py346 # ========================================================================COMMENT
MEDIUMscripts/eval_imobench_proof.py361 # ========================================================================COMMENT
MEDIUMscripts/eval_imobench_proof.py363 # ========================================================================COMMENT
MEDIUMscripts/eval_imobench_proof.py375 # ========================================================================COMMENT
MEDIUMscripts/eval_imobench_proof.py377 # ========================================================================COMMENT
Structural Annotation Overuse8 hits · 16 pts
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LOWoptillm/cepo/cepo.py498 # Step 3 - Review and consolidate plansSTRING
LOWoptillm/plugins/deepthink/self_discover.py49 # Step 1: SELECT relevant reasoning modulesCOMMENT
LOWoptillm/plugins/deepthink/self_discover.py53 # Step 2: ADAPT modules to be task-specificCOMMENT
LOWoptillm/plugins/deepthink/self_discover.py57 # Step 3: IMPLEMENT structured reasoning planCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py83 # Step 1: Get initial responseCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py91 # Step 2: Generate alternate queryCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py106 # Step 3: Get response for alternate queryCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py114 # Step 4: Compute similarity using local TF-IDF based similarityCOMMENT
Verbosity Indicators7 hits · 16 pts
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LOWoptillm/plugins/deepthink/self_discover.py49 # Step 1: SELECT relevant reasoning modulesCOMMENT
LOWoptillm/plugins/deepthink/self_discover.py53 # Step 2: ADAPT modules to be task-specificCOMMENT
LOWoptillm/plugins/deepthink/self_discover.py57 # Step 3: IMPLEMENT structured reasoning planCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py83 # Step 1: Get initial responseCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py91 # Step 2: Generate alternate queryCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py106 # Step 3: Get response for alternate queryCOMMENT
LOWscripts/eval_arena_hard_auto_rtc.py114 # Step 4: Compute similarity using local TF-IDF based similarityCOMMENT
Magic Placeholder Names3 hits · 15 pts
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HIGHREADME.md563 "BRAVE_API_KEY": "your-api-key-here"CODE
HIGHoptillm/server.py698 return jsonify({"error": "Invalid Authorization header. Expected format: 'Authorization: Bearer YOUR_API_KEYCODE
HIGHoptillm/plugins/deep_research/sample_reports/README.md80 api_key="your-api-key",CODE
Synthetic Comment Markers2 hits · 15 pts
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HIGHoptillm/cot_reflection.py12 temperature = 0.6 # Default to 0.6 as requestedCODE
HIGHoptillm/cot_reflection.py13 max_tokens = 4096 # Default to 4096 as requestedCODE
Cross-File Repetition3 hits · 15 pts
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HIGHoptillm/autothink/processor.py0initialize the deepconf processor. args: model: the language model tokenizer: the tokenizer config: configuration dictioSTRING
HIGHoptillm/autothink/autothink.py0initialize the deepconf processor. args: model: the language model tokenizer: the tokenizer config: configuration dictioSTRING
HIGHoptillm/deepconf/processor.py0initialize the deepconf processor. args: model: the language model tokenizer: the tokenizer config: configuration dictioSTRING
Over-Commented Block9 hits · 9 pts
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LOWdocker-compose.yaml21 # OPTILLM_BASE_URL: ${OPENAI_BASE_URL:-"https://openrouter.ai/api/v1"} # can be set to any OpenAI API compatible eCOMMENT
LOWoptillm/entropy_decoding.py241# {"role": "user", "content": "In a dance class of 20 students, 20% enrolled in contemporary dance, 25% of the remaiCOMMENT
LOWoptillm/cot_decoding.py161# result, confidence = cot_decode(model, tokenizer, messages, aggregate_paths=True, max_new_tokens=512)COMMENT
LOWoptillm/plugins/proxy/example_config.yaml61COMMENT
LOWoptillm/plugins/proxy/example_config.yaml81# model: "bon&proxy-gpt-4"COMMENT
LOWoptillm/utils/__init__.py1# Utils package for OptiLLMCOMMENT
LOWtests/__init__.py1# Tests for OptILLMCOMMENT
LOW.github/workflows/claude.yml41 actions: readCOMMENT
LOW.github/workflows/claude.yml61 # Optional: Custom environment variables for ClaudeCOMMENT
Modern AI Meta-Vocabulary4 hits · 8 pts
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MEDIUM…_chart_the_developing_landscape_of_ai_agents_and_co.md97[1] Seizing the agentic AI advantage. Available at: https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizCODE
MEDIUM…_chart_the_developing_landscape_of_ai_agents_and_co.md115[10] Agentic AI vs Traditional AI: Key Differences. Available at: https://www.fullstack.com/labs/resources/blog/agentic-CODE
MEDIUMoptillm/plugins/longcepo/config.py23 max_context_window: int = 8192 # Total model context window availableCODE
MEDIUMoptillm/mars/README.md44├── mars.py # Main orchestration with parallel executionCODE
AI Structural Patterns6 hits · 5 pts
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LOWoptillm/cot_decoding.py52CODE
LOWoptillm/inference.py714CODE
LOWoptillm/inference.py1834CODE
LOWoptillm/plugins/majority_voting_plugin.py44CODE
LOWoptillm/plugins/spl/strategy.py30CODE
LOWoptillm/plugins/deep_research/research_engine.py135CODE
Example Usage Blocks3 hits · 4 pts
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LOWoptillm/entropy_decoding.py233# Usage exampleCOMMENT
LOWoptillm/cot_decoding.py148# Usage exampleCOMMENT
LOWoptillm/plugins/proxy/example_config.yaml68# Example usage:COMMENT