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khive-ai/khive.d
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artifacts.exceptions.ValidationError
class ValidationError(ArtifactsError): """ Raised for invalid input parameters, format, state, or path traversal attempts. This is a critical security exception - it often indicates malicious input or programming errors that could lead to security vulnerabilities. """
class ValidationError(ArtifactsError): ''' Raised for invalid input parameters, format, state, or path traversal attempts. This is a critical security exception - it often indicates malicious input or programming errors that could lead to security vulnerabilities. ''' pass
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khive-ai/khive.d
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artifacts.factory.ArtifactsConfig
from pathlib import Path import logging from pydantic import BaseModel, Field class ArtifactsConfig(BaseModel): """ Configuration for the Artifacts Service. Uses Pydantic for validation and environment variable support. """ workspace_root: Path = Field(default=Path('./.khive/workspace'), descripti...
class ArtifactsConfig(BaseModel): ''' Configuration for the Artifacts Service. Uses Pydantic for validation and environment variable support. ''' def model_post_init(self, __context): '''Post-initialization validation and setup.''' pass
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khive-ai/khive.d
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artifacts.handlers.handoff_coordinator.AgentSpec
from dataclasses import dataclass, field @dataclass class AgentSpec: """Specification for an agent to be spawned""" role: str domain: str priority: float dependencies: list[str] = field(default_factory=list) spawn_command: str = '' session_id: str = '' phase: str = '' context: str =...
@dataclass class AgentSpec: '''Specification for an agent to be spawned''' pass
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khive-ai/khive.d
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artifacts.handlers.handoff_coordinator.ExecutionNode
from dataclasses import dataclass, field @dataclass class ExecutionNode: """Represents an agent execution node in the dependency graph""" agent_spec: AgentSpec status: str = 'pending' start_time: datetime | None = None completion_time: datetime | None = None artifacts: list[str] = field(default...
@dataclass class ExecutionNode: '''Represents an agent execution node in the dependency graph''' pass
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khive-ai/khive.d
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artifacts.handlers.handoff_coordinator.HandoffCoordinator
from khive.core import TimePolicy import asyncio import json from collections import defaultdict, deque class HandoffCoordinator: """ Coordinates parallel agent execution with dependency resolution. Features: - Topological scheduling of agents based on dependencies - Parallel fan-out execution for...
class HandoffCoordinator: ''' Coordinates parallel agent execution with dependency resolution. Features: - Topological scheduling of agents based on dependencies - Parallel fan-out execution for independent agents - Artifact management and handoff tracking - Quality gate enforcement - T...
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khive-ai/khive.d
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artifacts.handlers.timeout_manager.TimeoutConfig
from dataclasses import dataclass from typing import TYPE_CHECKING, Any @dataclass class TimeoutConfig: """Configuration for timeout handling.""" agent_execution_timeout: float = 300.0 phase_completion_timeout: float = 1800.0 total_orchestration_timeout: float = 3600.0 response_timeout: float = 60....
@dataclass class TimeoutConfig: '''Configuration for timeout handling.''' def to_dict(self) -> dict[str, Any]: '''Convert to dictionary for serialization.''' pass
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khive-ai/khive.d
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artifacts.handlers.timeout_manager.TimeoutManager
from khive.core import TimePolicy import json import asyncio import aiofiles from typing import TYPE_CHECKING, Any from pathlib import Path class TimeoutManager: """ Manages timeout operations for agent execution and orchestration. Provides configurable timeout handling, retry logic, and performance track...
class TimeoutManager: ''' Manages timeout operations for agent execution and orchestration. Provides configurable timeout handling, retry logic, and performance tracking for Phase 1 handoff optimizations. ''' def __init__(self, config: TimeoutConfig | None=None, session_id: str | None=None): ...
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khive-ai/khive.d
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artifacts.handlers.timeout_manager.TimeoutResult
from dataclasses import dataclass from khive.core import TimePolicy from typing import TYPE_CHECKING, Any @dataclass class TimeoutResult: """Result of a timeout operation.""" operation_id: str timeout_type: TimeoutType status: TimeoutStatus start_time: datetime end_time: datetime | None = None ...
@dataclass class TimeoutResult: '''Result of a timeout operation.''' def mark_completed(self) -> None: '''Mark operation as completed.''' pass def mark_timed_out(self, error: str) -> None: '''Mark operation as timed out.''' pass def mark_error(self, error: str) -> None...
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khive-ai/khive.d
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artifacts.handlers.timeout_manager.TimeoutStatus
from enum import Enum class TimeoutStatus(str, Enum): """Status of timeout operations.""" PENDING = 'pending' IN_PROGRESS = 'in_progress' COMPLETED = 'completed' TIMED_OUT = 'timed_out' CANCELLED = 'cancelled' ERROR = 'error'
class TimeoutStatus(str, Enum): '''Status of timeout operations.''' pass
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khive-ai/khive.d
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artifacts.handlers.timeout_manager.TimeoutType
from enum import Enum class TimeoutType(str, Enum): """Types of timeouts in the system.""" AGENT_EXECUTION = 'agent_execution' PHASE_COMPLETION = 'phase_completion' TOTAL_ORCHESTRATION = 'total_orchestration' RESPONSE_TIMEOUT = 'response_timeout' HANDOFF_TIMEOUT = 'handoff_timeout'
class TimeoutType(str, Enum): '''Types of timeouts in the system.''' pass
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khive-ai/khive.d
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artifacts.locks.LockManager
import asyncio from .exceptions import ConcurrencyError from collections import defaultdict, deque from contextlib import asynccontextmanager from collections.abc import AsyncIterator class LockManager: """ Manages asynchronous locks keyed by resource identifiers. Provides synchronization across concurren...
class LockManager: ''' Manages asynchronous locks keyed by resource identifiers. Provides synchronization across concurrent requests within a single service instance. Uses asyncio.Lock for efficient coordination without blocking the event loop. Note: This implementation is for single-process coordi...
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khive-ai/khive.d
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artifacts.models.ArtifactRegistry
from typing import Any from datetime import datetime, timezone from pydantic import BaseModel, Field class ArtifactRegistry(BaseModel): """Session-level artifact registry for tracking all documents.""" session_id: str created_at: datetime task_description: str | None = None artifacts: list[Artifact...
class ArtifactRegistry(BaseModel): '''Session-level artifact registry for tracking all documents.''' @classmethod def create_new(cls, session_id: str, task_description: str | None=None) -> 'ArtifactRegistry': '''Create a new artifact registry for a session.''' pass def add_artifact(sel...
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khive-ai/khive.d
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artifacts.models.ArtifactRegistryEntry
from typing import Any from pydantic import BaseModel, Field from datetime import datetime, timezone class ArtifactRegistryEntry(BaseModel): """Represents an entry in the artifact registry.""" id: str type: str name: str description: str | None = None file_path: str status: str = 'active' ...
class ArtifactRegistryEntry(BaseModel): '''Represents an entry in the artifact registry.''' pass
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khive-ai/khive.d
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artifacts.models.Author
from pydantic import BaseModel, Field class Author(BaseModel): """Represents an author/contributor to a document.""" id: str = Field(..., min_length=1, description='Unique identifier for the author') role: str = Field(..., min_length=1, description="Role of the author (e.g., 'PlannerAgent', 'Researcher', '...
class Author(BaseModel): '''Represents an author/contributor to a document.''' @classmethod def system(cls) -> 'Author': '''System author for automated operations.''' pass
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khive-ai/khive.d
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artifacts.models.ContributionMetadata
from datetime import datetime, timezone from pydantic import BaseModel, Field class ContributionMetadata(BaseModel): """Metadata about a contribution to a document.""" author: Author timestamp: datetime content_length: int = Field(..., ge=0, description='Length of the content contribution (must be non-...
class ContributionMetadata(BaseModel): '''Metadata about a contribution to a document.''' pass
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khive-ai/khive.d
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artifacts.models.Document
from pydantic import BaseModel, Field from datetime import datetime, timezone class Document(BaseModel): """ Represents an artifact managed by the service. Documents are stored as JSON files containing both content and metadata. This enables rich querying and version tracking without complex storage. ...
class Document(BaseModel): ''' Represents an artifact managed by the service. Documents are stored as JSON files containing both content and metadata. This enables rich querying and version tracking without complex storage. ''' @classmethod def create_new(cls, session_id: str, name: str, do...
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khive-ai/khive.d
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artifacts.models.DocumentType
from enum import Enum class DocumentType(str, Enum): """Type of document in the artifacts system.""" DELIVERABLE = 'deliverable' SCRATCHPAD = 'scratchpad'
class DocumentType(str, Enum): '''Type of document in the artifacts system.''' pass
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khive-ai/khive.d
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artifacts.models.Session
import uuid from pathlib import Path from pydantic import BaseModel, Field import re from datetime import datetime, timezone class Session(BaseModel): """Represents a development session workspace.""" id: str workspace_path: Path created_at: datetime status: SessionStatus @classmethod def ...
class Session(BaseModel): '''Represents a development session workspace.''' @classmethod def create_new(cls, session_id: str | None, workspace_root: Path) -> 'Session': '''Factory method to create a new session.''' pass def get_document_type_path(self, doc_type: DocumentType) -> Path: ...
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khive-ai/khive.d
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artifacts.models.SessionStatus
from enum import Enum class SessionStatus(str, Enum): """Status of a development session.""" ACTIVE = 'ACTIVE' ARCHIVED = 'ARCHIVED'
class SessionStatus(str, Enum): '''Status of a development session.''' pass
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khive-ai/khive.d
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artifacts.service.ArtifactsService
from typing import Any from .exceptions import DocumentAlreadyExists, DocumentNotFound from .models import ArtifactRegistry, Author, Document, DocumentType, Session from .sessions import SessionManager from .storage import IStorageRepository from .locks import LockManager from pathlib import Path import json class Art...
class ArtifactsService: ''' Central facade for the Artifacts Service. This is the main entry point for all document and session operations. It coordinates between storage, session management, locking, and templates. The service ensures: - Atomic operations for document updates - Proper conc...
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khive-ai/khive.d
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artifacts.sessions.SessionManager
from typing import Any import json from pathlib import Path import re import aiofiles from .exceptions import SessionAlreadyExists, SessionNotFound, StorageError, ValidationError from .models import DocumentType, Session, SessionStatus from datetime import datetime, timezone class SessionManager: """ Manages t...
class SessionManager: ''' Manages the lifecycle and security of development sessions. Responsibilities: - Session creation and validation - Secure path resolution (prevents path traversal attacks) - Directory structure management - Session metadata persistence ''' def __init__(self...
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khive-ai/khive.d
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artifacts.storage.FileSystemStorageRepository
from datetime import datetime import uuid from .exceptions import DocumentNotFound, StorageError import asyncio import os import aiofiles from .models import Author, ContributionMetadata, Document, DocumentType import yaml class FileSystemStorageRepository(IStorageRepository): """ File system implementation of...
class FileSystemStorageRepository(IStorageRepository): ''' File system implementation of the storage repository. Documents are stored as markdown files with YAML front matter to preserve metadata. Uses atomic write-to-temp-and-rename for consistency. ''' def __init__(self, session_manager: Ses...
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khive-ai/khive.d
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artifacts.storage.IStorageRepository
from .models import Author, ContributionMetadata, Document, DocumentType from typing import TYPE_CHECKING, Protocol class IStorageRepository(Protocol): """ Defines the contract for persistent storage. Focuses on atomic operations for individual documents. """ async def save(self, document: Documen...
class IStorageRepository(Protocol): ''' Defines the contract for persistent storage. Focuses on atomic operations for individual documents. ''' async def save(self, document: Document) -> None: ''' Persists the document. This operation MUST be atomic (all-or-nothing). If th...
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khive-ai/khive.d
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claude.frontend.realtime_server.HookEventWebSocketServer
import asyncio from khive.services.claude.hooks import HookEvent, HookEventBroadcaster from khive.core import TimePolicy import json import websockets import signal class HookEventWebSocketServer: """WebSocket server for real-time hook event broadcasting.""" def __init__(self, host: str='localhost', port: int...
class HookEventWebSocketServer: '''WebSocket server for real-time hook event broadcasting.''' def __init__(self, host: str='localhost', port: int=8767): pass async def register_client(self, websocket: websockets.WebSocketServerProtocol): '''Register a new WebSocket client.''' pass...
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khive-ai/khive.d
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claude.frontend.streamlit_dashboard.ClaudeCodeObservabilityDashboard
from khive import __version__ import streamlit as st from collections import Counter, defaultdict import pandas as pd import plotly.graph_objects as go import time from khive.services.claude.hooks import HookEvent from khive.daemon.client import get_daemon_client from typing import Any import datetime as dt from khive....
class ClaudeCodeObservabilityDashboard: '''Streamlit dashboard for Claude Code hook observability.''' def __init__(self): pass async def load_events_from_db(self, force_refresh: bool=False) -> list[dict[str, Any]]: '''Load hook events from SQLite database with caching.''' pass ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/coordination.py
claude.hooks.coordination.CoordinationRegistry
import time from typing import Any class CoordinationRegistry: """ Real coordination that actually helps LLM agents. No fake features - just what works. """ def __init__(self): self.active_agents: dict[str, AgentWork] = {} self.file_locks: dict[tuple[int, int] | str, FileEdit] = {}...
class CoordinationRegistry: ''' Real coordination that actually helps LLM agents. No fake features - just what works. ''' def __init__(self): pass def register_agent_work(self, agent_id: str, task: str, files: list[str]=None) -> dict[str, Any]: ''' Register what an age...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/coordination_metrics.py
claude.hooks.coordination_metrics.CoordinationMetrics
from dataclasses import dataclass, field @dataclass class CoordinationMetrics: """Metrics for measuring coordination effectiveness.""" total_tasks_submitted: int = 0 duplicate_tasks_detected: int = 0 duplicate_tasks_merged: int = 0 deduplication_time_saved: float = 0.0 contexts_shared: int = 0 ...
@dataclass class CoordinationMetrics: '''Metrics for measuring coordination effectiveness.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/coordination_metrics.py
claude.hooks.coordination_metrics.MetricsCollector
from typing import Any from datetime import datetime class MetricsCollector: """Collects and analyzes coordination metrics.""" def __init__(self): self.metrics = CoordinationMetrics() self.event_log: list[dict[str, Any]] = [] self.start_time = datetime.now() def log_event(self, ev...
class MetricsCollector: '''Collects and analyzes coordination metrics.''' def __init__(self): pass def log_event(self, event_type: str, data: dict[str, Any]): '''Log a coordination event for analysis.''' pass def calculate_effectiveness_score(self) -> dict[str, Any]: ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/hook_event.py
claude.hooks.hook_event.HookEvent
from lionagi.protocols.types import Node from pydantic import field_validator from typing import Any, ClassVar from khive.utils import SQLITE_DSN, EventBroadcaster, get_logger class HookEvent(Node): """Event generated by Claude Code hooks.""" content: HookEventContent _initialized: ClassVar[bool] = False ...
class HookEvent(Node): '''Event generated by Claude Code hooks.''' @field_validator('content', mode='before') def _validate_event_type(cls, value) -> dict: pass async def save(self): pass @classmethod async def _execute_raw_sql_query(cls, sql: str, params: dict=None) -> list[Ho...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/hook_event.py
claude.hooks.hook_event.HookEventBroadcaster
from khive.utils import SQLITE_DSN, EventBroadcaster, get_logger from typing import Any, ClassVar class HookEventBroadcaster(EventBroadcaster): _event_type: ClassVar[type] = HookEvent
class HookEventBroadcaster(EventBroadcaster): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/hook_event.py
claude.hooks.hook_event.HookEventContent
from typing import Any, ClassVar from typing_extensions import TypedDict class HookEventContent(TypedDict, total=False): event_type: str tool_name: str command: str | None output: str | None session_id: str | None file_paths: list[str] metadata: dict[str, Any]
class HookEventContent(TypedDict, total=False): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/semantic_dedup.py
claude.hooks.semantic_dedup.SemanticDeduplicator
from typing import Dict, List, Optional, Tuple, Set import hashlib import time import numpy as np from collections import defaultdict, deque class SemanticDeduplicator: """Semantic task deduplication using lightweight embeddings with O(1) duplicate detection.""" def __init__(self, similarity_threshold: float=...
class SemanticDeduplicator: '''Semantic task deduplication using lightweight embeddings with O(1) duplicate detection.''' def __init__(self, similarity_threshold: float=0.85): ''' Initialize semantic deduplicator with performance optimizations. Args: similarity_threshold: M...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/claude/hooks/semantic_dedup.py
claude.hooks.semantic_dedup.TaskEmbedding
from dataclasses import dataclass @dataclass class TaskEmbedding: """Represents a task with its semantic embedding.""" task_id: str description: str embedding: list[float] metadata: dict
@dataclass class TaskEmbedding: '''Represents a task with its semantic embedding.''' pass
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khive-ai/khive.d
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composition.agent_composer.AgentComposer
from typing import Any from pathlib import Path import threading import sys from .parts import AgentCompositionRequest import json import yaml class AgentComposer: """Compose agent persona from role + domain specifications""" _file_lock = threading.Lock() def __init__(self, base_path: str | None=None): ...
class AgentComposer: '''Compose agent persona from role + domain specifications''' def __init__(self, base_path: str | None=None): pass def load_yaml(self, file_path: Path) -> dict[str, Any]: '''Load YAML file safely with validation''' pass def load_agent_role(self, role: str...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/composition/composer_service.py
composition.composer_service.ComposerService
import asyncio from .agent_composer import AgentComposer from khive.prompts import ALL_AGENT_ROLES from pathlib import Path from .parts import ComposerRequest, ComposerResponse, DomainExpertise import shutil class ComposerService: """ Agent Composition Service. Wraps the AgentComposer to provide intellige...
class ComposerService: ''' Agent Composition Service. Wraps the AgentComposer to provide intelligent agent composition from role + domain specifications. ''' def __init__(self): '''Initialize the composer service.''' pass async def _get_composer(self) -> AgentComposer: ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/composition/parts.py
composition.parts.AgentCompositionRequest
from pydantic import BaseModel, ConfigDict, Field, field_validator class AgentCompositionRequest(BaseModel): """Validated input for agent composition""" model_config = ConfigDict(extra='forbid') role: str = Field(min_length=1, max_length=100, description='Agent role name') domains: str | None = Field(N...
class AgentCompositionRequest(BaseModel): '''Validated input for agent composition''' @field_validator('role') def validate_role(cls, v): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/composition/parts.py
composition.parts.AgentSpec
from dataclasses import dataclass @dataclass class AgentSpec: """Immutable agent specification (Pydantic-style contract)""" name: str role: str domain: str temperature: float system_prompt: str tools: list[str] = None def __post_init__(self): if self.tools is None: ...
@dataclass class AgentSpec: '''Immutable agent specification (Pydantic-style contract)''' def __post_init__(self): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/composition/parts.py
composition.parts.ComposerRequest
from khive.security.secure_models import SecureComposerRequestMixin from pydantic import BaseModel, ConfigDict, Field, field_validator from khive.prompts import AgentRole class ComposerRequest(SecureComposerRequestMixin, BaseModel): """Request to the composer service - NOW WITH SECURITY VALIDATION""" role: Age...
class ComposerRequest(SecureComposerRequestMixin, BaseModel): '''Request to the composer service - NOW WITH SECURITY VALIDATION''' @field_validator('role', mode='before') @classmethod def normalize_role(cls, v): '''Normalize role to lowercase for case-insensitive input.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/composition/parts.py
composition.parts.ComposerResponse
from pydantic import BaseModel, ConfigDict, Field, field_validator class ComposerResponse(BaseModel): """Response from the composer service.""" model_config = ConfigDict(extra='allow') success: bool = Field(..., description='Whether composition succeeded') summary: str = Field(..., min_length=1, descri...
class ComposerResponse(BaseModel): '''Response from the composer service.''' pass
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khive-ai/khive.d
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composition.parts.DomainExpertise
from pydantic import BaseModel, ConfigDict, Field, field_validator class DomainExpertise(BaseModel): """Domain expertise information.""" domain_id: str = Field(..., min_length=1, description='Domain identifier (must be non-empty)') knowledge_patterns: dict = Field(default_factory=dict, description='Knowled...
class DomainExpertise(BaseModel): '''Domain expertise information.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/_types.py
khive._types.BaseModel
from pydantic import ConfigDict class BaseModel(_LionHashableModel): model_config = ConfigDict(arbitrary_types_allowed=True, extra='forbid', use_enum_values=True, populate_by_name=True)
class BaseModel(_LionHashableModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.BaseCLICommand
import sys import argparse from abc import ABC, abstractmethod import inspect from pathlib import Path import asyncio from typing import Any, TypeVar from khive.utils import BaseConfig, die, get_project_root, info_msg, load_toml_config, print_json_result, validate_directory class BaseCLICommand(ABC): """ Abstr...
class BaseCLICommand(ABC): ''' Abstract base class for khive CLI commands. Provides common functionality: - Argument parsing with standard options - Configuration loading - Error handling and exit code management - JSON output formatting - Dry-run support ''' def __init__(self,...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.CLICommandFactory
class CLICommandFactory: """Factory for creating and registering CLI commands.""" _commands: dict[str, type[BaseCLICommand]] = {} @classmethod def register(cls, name: str, command_class: type[BaseCLICommand]) -> None: """Register a command class with a name.""" cls._commands[name] = com...
class CLICommandFactory: '''Factory for creating and registering CLI commands.''' @classmethod def register(cls, name: str, command_class: type[BaseCLICommand]) -> None: '''Register a command class with a name.''' pass @classmethod def create(cls, name: str, *args, **kwargs) -> BaseC...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.CLIResult
from dataclasses import dataclass from typing import Any, TypeVar @dataclass class CLIResult: """Standard result structure for CLI commands.""" status: str message: str data: dict[str, Any] | None = None exit_code: int = 0 def is_success(self) -> bool: """Check if the result represents...
@dataclass class CLIResult: '''Standard result structure for CLI commands.''' def is_success(self) -> bool: '''Check if the result represents success.''' pass def to_dict(self) -> dict[str, Any]: '''Convert result to dictionary for JSON output.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.CommandWorkflow
from typing import Any, TypeVar class CommandWorkflow: """Manages a sequence of steps for complex commands.""" def __init__(self, name: str): self.name = name self.steps: list[WorkflowStep] = [] self.current_step = 0 def add_step(self, step: WorkflowStep) -> None: """Add a...
class CommandWorkflow: '''Manages a sequence of steps for complex commands.''' def __init__(self, name: str): pass def add_step(self, step: WorkflowStep) -> None: '''Add a step to the workflow.''' pass def execute_step(self, step_index: int, executor: callable) -> bool: ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.ConfigurableCLICommand
from typing import Any, TypeVar from abc import ABC, abstractmethod from pathlib import Path class ConfigurableCLICommand(BaseCLICommand): """ Base class for commands that use TOML configuration files. Provides standardized configuration loading and merging. """ @property @abstractmethod ...
class ConfigurableCLICommand(BaseCLICommand): ''' Base class for commands that use TOML configuration files. Provides standardized configuration loading and merging. ''' @property @abstractmethod def config_filename(self) -> str: '''Return the name of the configuration file (e.g., '...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.FileBasedCLICommand
import argparse class FileBasedCLICommand(BaseCLICommand): """ Base class for commands that work with specific files or file patterns. Adds common file-related arguments and validation. """ def _add_file_arguments(self, parser: argparse.ArgumentParser) -> None: """Add common file-related ...
class FileBasedCLICommand(BaseCLICommand): ''' Base class for commands that work with specific files or file patterns. Adds common file-related arguments and validation. ''' def _add_file_arguments(self, parser: argparse.ArgumentParser) -> None: '''Add common file-related arguments.''' ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.GitBasedCLICommand
import argparse from pathlib import Path from khive.utils import BaseConfig, die, get_project_root, info_msg, load_toml_config, print_json_result, validate_directory class GitBasedCLICommand(ConfigurableCLICommand): """ Base class for commands that work with Git repositories. Adds Git-specific validation ...
class GitBasedCLICommand(ConfigurableCLICommand): ''' Base class for commands that work with Git repositories. Adds Git-specific validation and helper methods. ''' def _validate_args(self, args: argparse.Namespace) -> None: '''Validate that we're in a Git repository.''' pass d...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/base.py
khive.cli.base.WorkflowStep
class WorkflowStep: """Represents a single step in a command workflow.""" def __init__(self, name: str, description: str, required: bool=True): self.name = name self.description = description self.required = required self.completed = False self.error: str | None = None
class WorkflowStep: '''Represents a single step in a command workflow.''' def __init__(self, name: str, description: str, required: bool=True): pass
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khive-ai/khive.d
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khive.cli.khive_clean.CleanConfig
from pathlib import Path from dataclasses import dataclass, field @dataclass class CleanConfig: project_root: Path protected_branch_patterns: list[str] = field(default_factory=lambda: ['release/*', 'develop']) default_remote: str = 'origin' strict_pull_on_default: bool = False all_merged_default_ba...
@dataclass class CleanConfig: @property def khive_config_dir(self) -> Path: pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_commit.py
khive.cli.khive_commit.CommitConfig
from pathlib import Path import re from dataclasses import dataclass, field @dataclass class CommitConfig: project_root: Path default_push: bool = True allow_empty_commits: bool = False conventional_commit_types: list[str] = field(default_factory=lambda: ['feat', 'fix', 'build', 'chore', 'ci', 'docs', ...
@dataclass class CommitConfig: @property def khive_config_dir(self) -> Path: pass @property def conventional_commit_regex(self) -> re.Pattern: pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_mcp.py
khive.cli.khive_mcp.MCPCommand
from typing import Any import shutil from fastmcp.client import Client import argparse from contextlib import asynccontextmanager from fastmcp.client.transports import PythonStdioTransport, SSETransport, StdioTransport, StreamableHttpTransport import asyncio import json from .base import BaseCLICommand, CLIResult, cli_...
@cli_command('mcp') class MCPCommand(BaseCLICommand): '''Manage MCP servers using FastMCP.''' def __init__(self): pass def _check_fastmcp(self): '''Check if FastMCP is installed.''' pass def _add_arguments(self, parser: argparse.ArgumentParser) -> None: '''Add MCP-spec...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_mcp.py
khive.cli.khive_mcp.MCPConfig
from dataclasses import dataclass, field from pathlib import Path from khive.utils import BaseConfig, die, error_msg, info_msg, log_msg, warn_msg @dataclass class MCPConfig(BaseConfig): """Configuration for MCP command.""" servers: dict[str, MCPServerConfig] = field(default_factory=dict) @property def...
@dataclass class MCPConfig(BaseConfig): '''Configuration for MCP command.''' @property def mcps_config_file(self) -> Path: pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_mcp.py
khive.cli.khive_mcp.MCPServerConfig
from dataclasses import dataclass, field @dataclass class MCPServerConfig: """Configuration for an MCP server.""" name: str command: str args: list[str] = field(default_factory=list) env: dict[str, str] = field(default_factory=dict) always_allow: list[str] = field(default_factory=list) disa...
@dataclass class MCPServerConfig: '''Configuration for an MCP server.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_mcp.py
khive.cli.khive_mcp.StdioTransportFixed
import platform import os from fastmcp.client.transports import PythonStdioTransport, SSETransport, StdioTransport, StreamableHttpTransport import asyncio class StdioTransportFixed(StdioTransport): """Fixed StdioTransport that handles buffering properly.""" def __init__(self, command: str, args: list[str] | N...
class StdioTransportFixed(StdioTransport): '''Fixed StdioTransport that handles buffering properly.''' def __init__(self, command: str, args: list[str] | None=None, env: dict[str, str] | None=None, buffer_size: int=65536): pass async def start(self): '''Start the subprocess with proper bu...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_new_doc.py
khive.cli.khive_new_doc.NewDocCommand
from khive.utils import ensure_directory, safe_write_file import json import argparse from datetime import datetime from pathlib import Path from khive.cli.base import CLIResult, ConfigurableCLICommand, cli_command @cli_command('new-doc') class NewDocCommand(ConfigurableCLICommand): """Create documents from templa...
@cli_command('new-doc') class NewDocCommand(ConfigurableCLICommand): '''Create documents from templates - simple and explicit.''' def _create_config(self, args: argparse.Namespace) -> NewDocConfig: '''Create configuration from arguments.''' pass def _add_arguments(self, parser: argparse.Ar...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_new_doc.py
khive.cli.khive_new_doc.NewDocConfig
from pathlib import Path from dataclasses import dataclass @dataclass class NewDocConfig: """Configuration for new-doc command.""" project_root: Path = Path.cwd() templates_dir: Path = None def __post_init__(self): if self.templates_dir is None: import khive khive_path ...
@dataclass class NewDocConfig: '''Configuration for new-doc command.''' def __post_init__(self): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/cli/khive_pr.py
khive.cli.khive_pr.PRConfig
from pathlib import Path from dataclasses import dataclass, field @dataclass class PRConfig: project_root: Path default_base_branch: str = 'main' default_to_draft: bool = False default_reviewers: list[str] = field(default_factory=list) default_assignees: list[str] = field(default_factory=list) ...
@dataclass class PRConfig: @property def khive_config_dir(self) -> Path: pass
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khive-ai/khive.d
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khive.core.time_policy.TimePolicy
import datetime class TimePolicy: """Centralized timezone policy for consistent temporal behavior""" UTC = datetime.timezone.utc LOCAL = datetime.datetime.now().astimezone().tzinfo @classmethod def now_utc(cls) -> datetime.datetime: """Get current time in UTC for internal operations ...
class TimePolicy: '''Centralized timezone policy for consistent temporal behavior''' @classmethod def now_utc(cls) -> datetime.datetime: '''Get current time in UTC for internal operations Use for: logging, session management, internal timestamps Replaces: datetime.now() -> datetime....
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/daemon/client.py
khive.daemon.client.KhiveDaemonClient
import httpx import asyncio from concurrent.futures import ThreadPoolExecutor import time from typing import Any, Optional import os class KhiveDaemonClient: """High-performance client for communicating with khive daemon with async optimizations.""" def __init__(self, base_url: str=DAEMON_URL, enable_async: b...
class KhiveDaemonClient: '''High-performance client for communicating with khive daemon with async optimizations.''' def __init__(self, base_url: str=DAEMON_URL, enable_async: bool=False): pass def __enter__(self): pass def __exit__(self, *args): pass async def __aenter_...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/daemon/server.py
khive.daemon.server.CoordinateCompleteRequest
from pydantic import BaseModel class CoordinateCompleteRequest(BaseModel): task_id: str agent_id: str output: str artifacts: list[str] = []
class CoordinateCompleteRequest(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/daemon/server.py
khive.daemon.server.InsightsRequest
from pydantic import BaseModel class InsightsRequest(BaseModel): task_description: str agent_id: str
class InsightsRequest(BaseModel): pass
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khive-ai/khive.d
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khive.prompts.complexity_heuristics.Request
class Request: """Request model for complexity assessment.""" def __init__(self, text: str): self.text = text.lower() self.original = text
class Request: '''Request model for complexity assessment.''' def __init__(self, text: str): pass
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khive-ai/khive.d
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khive.security.error_handler.SecureErrorHandler
class SecureErrorHandler: """Context manager for secure error handling""" def __init__(self, operation_context: str): self.context = operation_context def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): if exc_val: safe_message = sanitiz...
class SecureErrorHandler: '''Context manager for secure error handling''' def __init__(self, operation_context: str): pass def __enter__(self): pass def __exit__(self, exc_type, exc_val, exc_tb): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/security/secure_models.py
khive.security.secure_models.SecureAgentRequestMixin
from pydantic import field_validator from .validation import validate_context_security, validate_domains_security, validate_role_security class SecureAgentRequestMixin: """Security validation mixin for AgentRequest""" @field_validator('instruct', mode='before') def validate_instruct_secure(cls, v): ...
class SecureAgentRequestMixin: '''Security validation mixin for AgentRequest''' @field_validator('instruct', mode='before') def validate_instruct_secure(cls, v): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/security/secure_models.py
khive.security.secure_models.SecureComposerRequestMixin
from pydantic import field_validator from .validation import validate_context_security, validate_domains_security, validate_role_security class SecureComposerRequestMixin: """Security validation mixin for ComposerRequest""" @field_validator('role', mode='before') def validate_role_secure(cls, v): ...
class SecureComposerRequestMixin: '''Security validation mixin for ComposerRequest''' @field_validator('role', mode='before') def validate_role_secure(cls, v): pass @field_validator('domains', mode='before') def validate_domains_secure(cls, v): pass @field_validator('context', m...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/security/validation.py
khive.security.validation.SecurityValidationError
class SecurityValidationError(Exception): """Security validation failure - sanitized error messages"""
class SecurityValidationError(Exception): '''Security validation failure - sanitized error messages''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/toolkits/base/settings.py
khive.toolkits.base.settings.BaseKhiveSettings
from typing import Any, ClassVar from pydantic import SecretStr from pydantic_settings import BaseSettings, SettingsConfigDict class BaseKhiveSettings(BaseSettings): model_config = SettingsConfigDict(env_file=('.env', '.env.local', '.secrets.env'), env_file_encoding='utf-8', case_sensitive=False, extra='ignore', c...
class BaseKhiveSettings(BaseSettings): def get_secret(self, key_name: str) -> str: '''Get the secret value for a given key name.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/toolkits/cc/settings.py
khive.toolkits.cc.settings.CCSettings
from khive.toolkits.base.settings import BaseKhiveSettings from pydantic import field_validator from pydantic_settings import SettingsConfigDict class CCSettings(BaseKhiveSettings): """Configuration settings for Claude Code flows.""" model_config = SettingsConfigDict(env_file=('.env', '.env.local', '.secrets.e...
class CCSettings(BaseKhiveSettings): '''Configuration settings for Claude Code flows.''' @field_validator('ORCHESTRATOR_VERBOSE', 'ORCHESTRATOR_AUTO_FINISH', 'ORCHESTRATOR_SKIP_PERMISSIONS', 'TASK_VERBOSE', 'TASK_AUTO_FINISH', 'TASK_SKIP_PERMISSIONS', mode='before') def parse_bool(cls, value): '''P...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/utils.py
khive.utils.BaseConfig
from typing import TYPE_CHECKING, Any, ClassVar, TypeVar from pathlib import Path from dataclasses import dataclass, field @dataclass class BaseConfig: """Base configuration class with common CLI options.""" project_root: Path json_output: bool = False dry_run: bool = False verbose: bool = False ...
@dataclass class BaseConfig: '''Base configuration class with common CLI options.''' @property def khive_config_dir(self) -> Path: '''Path to the .khive configuration directory.''' pass def update_from_cli_args(self, args: Any) -> None: '''Update configuration from CLI arguments...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/utils.py
khive.utils.CommandResult
from dataclasses import dataclass, field @dataclass class CommandResult: """Result of a command execution.""" command: list[str] exit_code: int stdout: str stderr: str success: bool duration: float = 0.0
@dataclass class CommandResult: '''Result of a command execution.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/utils.py
khive.utils.EventBroadcaster
from typing import TYPE_CHECKING, Any, ClassVar, TypeVar import asyncio class EventBroadcaster: """Real-time event broadcasting system for hook events.""" _instance: ClassVar[EventBroadcaster | None] = None _subscribers: ClassVar[list[Callable[[Any], None]]] = [] _async_subscribers: ClassVar[list[Calla...
class EventBroadcaster: '''Real-time event broadcasting system for hook events.''' def __new__(cls): pass @classmethod def subscribe(cls, callback: Callable[[Any], None]) -> None: '''Subscribe to hook events with sync callback.''' pass @classmethod def subscribe_async(c...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/utils.py
khive.utils.StackConfig
from dataclasses import dataclass, field @dataclass class StackConfig: """Configuration for stack-based operations (legacy compatibility).""" name: str cmd: str check_cmd: str include: list[str] = field(default_factory=list) exclude: list[str] = field(default_factory=list) enabled: bool = T...
@dataclass class StackConfig: '''Configuration for stack-based operations (legacy compatibility).''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/analyze_issue_requirements.py
orchestration.atomic.analyze_issue_requirements.RequirementsAnalysis
from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT from pydantic import BaseModel, Field class RequirementsAnalysis(BaseModel): context_analysis: str = Field(description='\n What is the complete context of this request? Analyze the issue systematically:\n - What problem is being solved and for whom?...
class RequirementsAnalysis(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/base.py
orchestration.atomic.base.AtomicMetaPrompt
from typing import Protocol class AtomicMetaPrompt(Protocol): """Protocol defining the atomic meta-prompting pattern""" context_analysis: str 'Context Analysis - Understanding inputs and scope' systematic_breakdown: str 'Systematic Breakdown - Methodical decomposition' critical_assessment: str ...
class AtomicMetaPrompt(Protocol): '''Protocol defining the atomic meta-prompting pattern''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/generate_documentation.py
orchestration.atomic.generate_documentation.DocumentationPackage
from pydantic import BaseModel, Field from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT class DocumentationPackage(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done fir...
class DocumentationPackage(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/identify_integration_points.py
orchestration.atomic.identify_integration_points.IntegrationStrategy
from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT from pydantic import BaseModel, Field class IntegrationStrategy(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done firs...
class IntegrationStrategy(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/implement_feature_increment.py
orchestration.atomic.implement_feature_increment.FeatureImplementation
from pydantic import BaseModel, Field from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT class FeatureImplementation(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done fi...
class FeatureImplementation(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/synthesize_work.py
orchestration.atomic.synthesize_work.WorkSynthesis
from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT from pydantic import BaseModel, Field class WorkSynthesis(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first ...
class WorkSynthesis(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/understand_code_context.py
orchestration.atomic.understand_code_context.CodeContextAnalysis
from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT from pydantic import BaseModel, Field class CodeContextAnalysis(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done firs...
class CodeContextAnalysis(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/atomic/validate_requirement_satisfaction.py
orchestration.atomic.validate_requirement_satisfaction.RequirementValidation
from .base import CONFIDENCE_PROMPT, QUALITY_PROMPT from pydantic import BaseModel, Field class RequirementValidation(BaseModel): """AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done fi...
class RequirementValidation(BaseModel): '''AFTER, doing your other regular requirements. Present the a deliverable in the following format - DO NOT only submit the deliverable, the actual work must need to be done first - DO NOT submit the deliverable if the work is not done ''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/issue_parser.py
orchestration.issue_parser.IssueMarkdownParser
import yaml from pathlib import Path import re from .parts import FanoutConfig, FanoutPatterns, IssuePlan, RefinementConfig class IssueMarkdownParser: """Parser for markdown-based issue definitions""" def __init__(self, issues_dir: Path): self.issues_dir = Path(issues_dir) def parse_file(self, fi...
class IssueMarkdownParser: '''Parser for markdown-based issue definitions''' def __init__(self, issues_dir: Path): pass def parse_file(self, file_path: Path) -> ParsedIssue: '''Parse a single markdown issue file''' pass def _parse_markdown_sections(self, content: str) -> dict...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/issue_parser.py
orchestration.issue_parser.ParsedIssue
from dataclasses import dataclass @dataclass class ParsedIssue: """Parsed issue data from markdown""" issue_num: int flow_name: str pattern: str project_phase: str is_critical_path: bool is_experimental: bool blocks_issues: list[int] enables_issues: list[int] dependencies: list[...
@dataclass class ParsedIssue: '''Parsed issue data from markdown''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/issue_runner.py
orchestration.issue_runner.IssueRunner
from .workflows.factory import get_orc_session from lionagi import Builder, ln from .parts import IssuePlan from .issue_parser import load_all_issues from pathlib import Path class IssueRunner: def __init__(self, issue_dir: str | Path, delay_before_start: float=0.0, max_concurrent: int=3, throttle_period: float=1...
class IssueRunner: def __init__(self, issue_dir: str | Path, delay_before_start: float=0.0, max_concurrent: int=3, throttle_period: float=10): pass def get_issue_plan(self, issue_num: str | int, /) -> IssuePlan: '''Get the issue plan by issue number.''' pass def get_dep_on(self, ...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/orchestrator.py
orchestration.orchestrator.LionOrchestrator
import json from lionagi.fields import Instruct from .parts import AgentRequest, ComposerRequest, FanoutResponse, FanoutWithGatedRefinementResponse, GateOptions, OrchestrationPlan from khive.services.composition import composer_service from pathlib import Path from khive.toolkits.cc.create_cc import create_orchestrator...
class LionOrchestrator: def __init__(self, flow_name: str): pass async def initialize(self, model: str | None=None, system: str | None=None): pass @property def orc_branch(self): pass async def create_cc_branch(self, compose_request: ComposerRequest, agent_suffix: str='',...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.AgentRequest
from lionagi.fields import Instruct from khive._types import BaseModel from khive.security.secure_models import SecureAgentRequestMixin from khive.services.composition.parts import AgentRole, ComposerRequest class AgentRequest(SecureAgentRequestMixin, BaseModel): instruct: Instruct compose_request: ComposerReq...
class AgentRequest(SecureAgentRequestMixin, BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.BaseGate
from pydantic import Field, field_validator, model_validator from khive._types import BaseModel class BaseGate(BaseModel): """Base quality gate with pass/fail and reasoning""" threshold_met: bool = Field(description="Does the work meet the requirements appropriate for THIS issue's scope and current project pha...
class BaseGate(BaseModel): '''Base quality gate with pass/fail and reasoning''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.ComplexityAssessment
from khive._types import BaseModel from pydantic import Field, field_validator, model_validator class ComplexityAssessment(BaseModel): """Complexity assessment with overall score and explanation.""" overall_complexity_score: float = Field(ge=0.0, le=1.0, description='Overall complexity score (0.0=trivial, 0.3=...
class ComplexityAssessment(BaseModel): '''Complexity assessment with overall score and explanation.''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.FanoutConfig
from khive._types import BaseModel class FanoutConfig(BaseModel): initial_desc: str 'Description for initial phase' synth_instruction: str 'Instruction for synthesis phase to generate deliverables' planning_instruction: str 'Instruction for planning phase to guide agent actions' context: st...
class FanoutConfig(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.FanoutPatterns
from lionagi.utils import Enum, create_path class FanoutPatterns(str, Enum): """Enumeration for orchestration patterns used in issues""" __slots__ = () FANOUT = 'fanout' W_REFINEMENT = 'fanout_with_gated_refinement' COMPOSITE = 'composite'
class FanoutPatterns(str, Enum): '''Enumeration for orchestration patterns used in issues''' pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.FanoutResponse
from typing import TYPE_CHECKING, Any, ClassVar, Literal from khive._types import BaseModel from pydantic import Field, field_validator, model_validator class FanoutResponse(BaseModel): synth_node: Any | None = Field(None, exclude=True) 'The synthesis node from the orchestration graph, if applicable' synth...
class FanoutResponse(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.FanoutWithGatedRefinementResponse
from typing import TYPE_CHECKING, Any, ClassVar, Literal from pydantic import Field, field_validator, model_validator class FanoutWithGatedRefinementResponse(FanoutResponse): final_gate: Any | None = Field(None, exclude=True) 'The final gate node from the orchestration graph, if applicable' qa_branch: Any ...
class FanoutWithGatedRefinementResponse(FanoutResponse): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.GateComponent
from pydantic import Field, field_validator, model_validator from khive._types import BaseModel class GateComponent(BaseModel): is_acceptable: bool 'Does this component meet requirements appropriate for the current context and phase?' problems: list[str] = Field(default_factory=list) 'List specific pro...
class GateComponent(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.Issue
from lionagi.protocols.types import Node from lionagi.utils import Enum, create_path import json from typing import TYPE_CHECKING, Any, ClassVar, Literal import aiofiles class Issue(Node): _table_name: ClassVar[str] = 'issues' content: IssueContent @staticmethod def create_file_path(issue_num: IssueNu...
class Issue(Node): @staticmethod def create_file_path(issue_num: IssueNum, exists_ok: bool=True) -> Path: pass @staticmethod def issue_exists(issue_num: IssueNum) -> bool: '''Check if an issue with the given number exists in the file''' pass @classmethod async def get(c...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.IssueContent
from khive._types import BaseModel from typing import TYPE_CHECKING, Any, ClassVar, Literal class IssueContent(BaseModel): issue_num: IssueNum 'GitHub issue number or string identifier' issue_plan: IssuePlan 'The orchestration plan for this issue' issue_result: IssueResult 'The result of execut...
class IssueContent(BaseModel): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.IssueExecution
from khive._types import BaseModel class IssueExecution(BaseModel): success: bool result: FanoutResponse | FanoutWithGatedRefinementResponse is_redo: bool = False
class IssueExecution(BaseModel): pass
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khive-ai/khive.d
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orchestration.parts.IssuePlan
from typing import TYPE_CHECKING, Any, ClassVar, Literal from pydantic import Field, field_validator, model_validator from khive._types import BaseModel class IssuePlan(BaseModel): issue_num: IssueNum 'github issue number' flow_name: str 'The name of the flow to execute for this issue' system: str ...
class IssuePlan(BaseModel): @model_validator(mode='after') def validate_conditional_refinement(self): pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.IssueResult
from khive._types import BaseModel from pydantic import Field, field_validator, model_validator class IssueResult(BaseModel): issue_num: IssueNum executions: list[IssueExecution] = Field(default_factory=list) success: bool = False @field_validator('issue_num', mode='before') def validate_issue_num...
class IssueResult(BaseModel): @field_validator('issue_num', mode='before') def validate_issue_num(cls, v: str | int) -> str: pass
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.OrchestrationPlan
from khive._types import BaseModel from typing import TYPE_CHECKING, Any, ClassVar, Literal class OrchestrationPlan(BaseModel): """Plan for orchestrating agent tasks. Each plan is meant for either concurrent or sequential execution, default is concurrent for efficiency. Remember to instruct agents to actua...
class OrchestrationPlan(BaseModel): '''Plan for orchestrating agent tasks. Each plan is meant for either concurrent or sequential execution, default is concurrent for efficiency. Remember to instruct agents to actually do work, not just analyze. Every agent must produce at least one markdown deliverabl...
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khive-ai/khive.d
/Users/umroot/Documents/PhD_works/PhD-Core-Contents/Class-level-dataset-curation/unseen_data/git_repos_for_analysis/khive-ai_khive.d/src/khive/services/orchestration/parts.py
orchestration.parts.RefinementConfig
from khive._types import BaseModel from khive.services.composition.parts import AgentRole, ComposerRequest from typing import TYPE_CHECKING, Any, ClassVar, Literal class RefinementConfig(BaseModel): refinement_desc: str 'Description for refinement phase if quality insufficient' critic_domain: str = 'softwa...
class RefinementConfig(BaseModel): pass
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