Spaces:
Sleeping
Sleeping
Commit History
-
Document runtime error fix and remediation
Verified signatureAdded Runtime Error Diagnostic & Remediation section documenting the ModuleNotFoundError for transformers library, root cause analysis, and the fix applied to requirements.txt. Includes best practices for dependency management going forward.f9178b3 -
Update requirements.txt
Verified signature2812a46 -
Update README.md
Verified signatureDOC: Add lead_scoring_agent integration documentation to README - Add new Pipeline Workflow step 3: Lead Scoring (lead_scoring_agent.py) - Document scoring integration in Human/Machine Validation step - Add /score API endpoint documentation - Document scoring features in UI Dashboard - Add comprehensive "Lead Scoring Integration (NEW)" section with: * Overview of scoring features and metadata * Key features and integration points * Example usage showing single review and batch review scoring - Update schema versioning section with LeadReview v2 fields - Add troubleshooting guidance for scoring failures and module import - Reference lead_scoring_agent.py in Core Modules section - Document scoring configuration reference in docs/configs/ - Update Test Case Logic with lead scoring integration tests - Document scoring metadata passing through agent handoff chainbfe387a -
Update human_validation_agent.py
Verified signatureINTEGRATION: Add lead_scoring_agent integration to human_validation_agent - Import and integrate lead_scoring_agent module - Score each lead profile at action start in process_review_action() - Add scoring_result and enrichment_data fields to LeadReview schema - Pass enrichment data and scoring metadata to downstream agents - Update process_batch_review() to score all leads in batch - Store scoring metadata with each review in history - Export scoring information in review history JSON - Update documentation in docstrings to reflect scoring integration - Example batch review now demonstrates lead scoring workflowc6bfd08 -
Integrate lead_scoring_agent: add scoring metrics to analytics and UI visibility
Verified signature2e93e81 -
Integrate lead_scoring_agent: score leads at start, inject scoring fields into asset flow
Verified signaturec5d8b23 -
Integrate lead_scoring_agent into research_agent.py - Add score_lead() in run_pipeline()
Verified signature4d61f2c -
Integrate lead_scoring_agent into outreach_agent.py - Add score_lead() as first logic step in intake_lead()
Verified signature566bdbd -
Update app.py
Verified signature3a76be2 -
Create lead_scoring_agent.py
Verified signature9065d10 -
Create Add enhanced RAG-powered outreach agent for personalized campaign operations
Verified signature92bc9c9
-
Add enhanced RAG-powered analytics agent with community insights, versioning hooks, and rollback support
Verified signatureThis enhanced analytics agent integrates patterns from community RAG agents (bziiit/AGENT_ANALYSE_RAG, fahmiaziz/rag-sql-agent) with: - RAG pipeline integration for context-aware analytics - Schema versioning hooks per SCHEMA_VERSIONING.md - Rollback/checkpoint capabilities for safe operations - Citation tracking and confidence scoring - Audit trail for compliance - Multi-source context retrievalf088210 -
Add multi-LLM provider support (OpenAI, Ollama, HuggingFace) with unified interface for seamless switching
Verified signature93eb4a4 -
Add RAG pipeline for context-aware agent operations with document retrieval and citation support
Verified signature536d6c7 -
Update README.md
Verified signature91ad377 -
Update README.md
Verified signaturee663164 -
Create outreach_agent.py
Verified signaturec33f0cb -
Create research_agent.py
Verified signaturec75a06a -
Create analytics_agent.py
Verified signatureanalytics_agent.py implementing live metrics on demand, end-of-day reports (scheduled), batch export (7/30/90 days), API/UI hooks, error logging/reporting, and config-driven specs. See functions: get_live_metrics, run_end_of_day_report, batch_export, expose_endpoint, get_errors. Needs analytics_utils.py. Update README for usage/testing.7c98bdb -
Create docs/configs/ANALYTICS_SPEC.md
Verified signaturef9c832f -
Create docs/configs/analytics_config.json
Verified signature276436b -
Update README with comprehensive Human Validation Agent documentation
Verified signature59b4838 -
Create Human Validation Agent module with batch review, schema validation, and queue integration
Verified signature28abf5b -
Update README.md
Verified signature87173c6 -
Add simulation for queue handoff to enrichment agent with browser and human fallback
Verified signature480fe29 -
Add enrichment agent config with prioritized sources, rate limits, and retry policies
Verified signature3005446 -
Create recovery_enrichment_agent.py
Verified signatured803a39 -
Add comprehensive browser agent MCP/container verification documentation
Verified signature7ee82ce -
Document browser agent MCP/container verification steps
Verified signaturefb2231f -
Update activity_log.csv
Verified signature375f837 -
Update test_schema_tools.py
Verified signatureAdd data recovery columns, batch error handling, human validation, and lead scrub/approve logic.765341b -
Add test script for schema registry and query/search agent tools
Verified signature15bb604 -
Add query/search agent with advanced mapping, validation, error reporting, and JSON support
Verified signature9989568 -
Add schema registry with mapping, validation, and audit capabilities
Verified signature40a5e4c -
Add atomic activity ingestion validation script
Verified signatureValidates core ingestion with four test scenarios: - Valid insert (should succeed) - Invalid status value (should fail) - Missing required field (should fail) - Confirm atomic insert (should always succeed if schema-valid) Each test outputs PASS/FAIL and error details for review.bf1af21 -
Add comprehensive schema versioning and rollback documentation
Verified signatureComplete schema version control system documentation including: - Schema v1.0 definition with all required fields - Detailed version history tracking - Git-based rollback procedures (soft, hard, file-specific) - Commit tracking system (request_id, commit_hash) - Build-specific rollback for dev/staging/production - Pre/post validation procedures - Error recovery protocols - Schema change tracking format - Testing checklist - Quick reference commands This documentation ensures reliable version control, data integrity, and seamless rollback capability for all future schema modifications across different build environments.cc10b69 -
Implement atomic activity ingestion with schema validation and commit tracking
Verified signatureFEATURES: - Atomic row additions using temp file + rename pattern - Schema validation (v1.0) with required fields and valid value checks - Request ID generation for tracking - ISO 8601 timestamp generation - Full error handling with custom exceptions - File locking for concurrent access safety - Operation logging for audit trail - Commit hash generation for versioning - Comprehensive test suite with 5 test cases VERSION CONTROL: - Schema version: 1.0 - Supports rollback via git history - All operations logged with request_id and timestamp - Commit hashes enable change tracking USAGE: - Run directly: python activity_ingestion.py (runs tests) - Import: from activity_ingestion import atomic_append_activity This implementation ensures data integrity and provides full audit trail for production use.3a67095 -
Validate schema and confirm agent write access
Verified signaturebe98c41 -
Add canonical activity_log.csv schema for agent tracking
Verified signatureEstablishes canonical CSV schema for activity tracking with standardized columns: - timestamp: ISO 8601 format (UTC) - agent_id: identifier for the agent performing the activity - activity_type: type of activity (init, read, write, update, delete, query, etc.) - entity_id: identifier for the entity being acted upon - status: status of the activity (created, updated, success, failed, pending, etc.) - notes: human-readable description of the activity - context: additional context or metadata about the activity This schema provides a clean foundation for agent integration and data flow tracking.a6db97b -
Create tools.csv
Verified signature8dca2c3 -
Update app.py
Verified signature824cdbc -
Create smolagents/.env.sample
Verified signature9cec6dc -
Update requirements.txt
Verified signature15efb8c -
Create smolagents/tools.py
Verified signature2456578 -
Update app.py
Verified signature413e679 -
Update README.md
Verified signaturee9fa71b -
gradio
Verified signatureba29eec -
import gradio as gr def greet(name): return "Hello " + name + "!!" demo = gr.Interface(fn=greet, inputs="text", outputs="text") demo.launch()
Verified signature1237696 -
initial commit
Verified signaturef0e28a4