From a367062c7aaf8b55fbb3903e917b68290c557a95 Mon Sep 17 00:00:00 2001 From: Popescu Tudor-Cristian Date: Wed, 1 Oct 2025 18:39:56 +0300 Subject: [PATCH] chore: add two agent samples w/wo API resume trigger --- samples/document-routing-agent/README.md | 145 + samples/document-routing-agent/agent.mermaid | 24 + samples/document-routing-agent/langgraph.json | 7 + samples/document-routing-agent/main.py | 294 ++ samples/document-routing-agent/pyproject.toml | 13 + .../test_cases/expected_output/test1_out.json | 18 + .../test_cases/expected_output/test2_out.json | 18 + .../test_cases/expected_output/test3_out.json | 18 + .../test_cases/expected_output/test4_out.json | 18 + .../test_cases/expected_output/test5_out.json | 18 + .../test_cases/input/test1_in.json | 10 + .../test_cases/input/test2_in.json | 10 + .../test_cases/input/test3_in.json | 10 + .../test_cases/input/test4_in.json | 10 + .../test_cases/input/test5_in.json | 10 + samples/document-routing-agent/uipath.json | 117 + samples/document-routing-agent/uv.lock | 3004 ++++++++++++++++ samples/expense-approval-agent/.env.example | 2 + samples/expense-approval-agent/README.md | 169 + samples/expense-approval-agent/agent.mermaid | 20 + samples/expense-approval-agent/langgraph.json | 7 + samples/expense-approval-agent/main.py | 194 + samples/expense-approval-agent/pyproject.toml | 14 + .../test_cases/expected_output/test1_out.json | 12 + .../test_cases/expected_output/test2_out.json | 12 + .../test_cases/expected_output/test3_out.json | 13 + .../test_cases/expected_output/test4_out.json | 13 + .../test_cases/expected_output/test5_out.json | 12 + .../test_cases/input/test1_in.json | 11 + .../input/test1_resume_payload.json | 5 + .../test_cases/input/test2_in.json | 11 + .../input/test2_resume_payload.json | 5 + .../test_cases/input/test3_in.json | 11 + .../input/test3_resume_payload.json | 5 + .../test_cases/input/test4_in.json | 10 + .../input/test4_resume_payload.json | 5 + .../test_cases/input/test5_in.json | 11 + .../input/test5_resume_payload.json | 5 + samples/expense-approval-agent/uipath.json | 102 + samples/expense-approval-agent/uv.lock | 3204 +++++++++++++++++ 40 files changed, 7597 insertions(+) create mode 100644 samples/document-routing-agent/README.md create mode 100644 samples/document-routing-agent/agent.mermaid create mode 100644 samples/document-routing-agent/langgraph.json create mode 100644 samples/document-routing-agent/main.py create mode 100644 samples/document-routing-agent/pyproject.toml create mode 100644 samples/document-routing-agent/test_cases/expected_output/test1_out.json create mode 100644 samples/document-routing-agent/test_cases/expected_output/test2_out.json create mode 100644 samples/document-routing-agent/test_cases/expected_output/test3_out.json create mode 100644 samples/document-routing-agent/test_cases/expected_output/test4_out.json create mode 100644 samples/document-routing-agent/test_cases/expected_output/test5_out.json create mode 100644 samples/document-routing-agent/test_cases/input/test1_in.json create mode 100644 samples/document-routing-agent/test_cases/input/test2_in.json create mode 100644 samples/document-routing-agent/test_cases/input/test3_in.json create mode 100644 samples/document-routing-agent/test_cases/input/test4_in.json create mode 100644 samples/document-routing-agent/test_cases/input/test5_in.json create mode 100644 samples/document-routing-agent/uipath.json create mode 100644 samples/document-routing-agent/uv.lock create mode 100644 samples/expense-approval-agent/.env.example create mode 100644 samples/expense-approval-agent/README.md create mode 100644 samples/expense-approval-agent/agent.mermaid create mode 100644 samples/expense-approval-agent/langgraph.json create mode 100644 samples/expense-approval-agent/main.py create mode 100644 samples/expense-approval-agent/pyproject.toml create mode 100644 samples/expense-approval-agent/test_cases/expected_output/test1_out.json create mode 100644 samples/expense-approval-agent/test_cases/expected_output/test2_out.json create mode 100644 samples/expense-approval-agent/test_cases/expected_output/test3_out.json create mode 100644 samples/expense-approval-agent/test_cases/expected_output/test4_out.json create mode 100644 samples/expense-approval-agent/test_cases/expected_output/test5_out.json create mode 100644 samples/expense-approval-agent/test_cases/input/test1_in.json create mode 100644 samples/expense-approval-agent/test_cases/input/test1_resume_payload.json create mode 100644 samples/expense-approval-agent/test_cases/input/test2_in.json create mode 100644 samples/expense-approval-agent/test_cases/input/test2_resume_payload.json create mode 100644 samples/expense-approval-agent/test_cases/input/test3_in.json create mode 100644 samples/expense-approval-agent/test_cases/input/test3_resume_payload.json create mode 100644 samples/expense-approval-agent/test_cases/input/test4_in.json create mode 100644 samples/expense-approval-agent/test_cases/input/test4_resume_payload.json create mode 100644 samples/expense-approval-agent/test_cases/input/test5_in.json create mode 100644 samples/expense-approval-agent/test_cases/input/test5_resume_payload.json create mode 100644 samples/expense-approval-agent/uipath.json create mode 100644 samples/expense-approval-agent/uv.lock diff --git a/samples/document-routing-agent/README.md b/samples/document-routing-agent/README.md new file mode 100644 index 00000000..d9ebb835 --- /dev/null +++ b/samples/document-routing-agent/README.md @@ -0,0 +1,145 @@ +# Document Routing Agent + +An intelligent document routing system that automatically classifies and routes documents to appropriate departments based on content analysis, without using LLMs. + +## Overview + +This agent demonstrates the use of the UiPath LangChain SDK with deterministic rule-based routing. It analyzes document content, metadata, and patterns to make routing decisions with confidence scoring. + +## How It Works + +1. **Document Preparation**: Generates a unique routing ID and initializes processing +2. **Content Analysis**: Scans document for keywords, document types, and patterns +3. **Score Calculation**: Computes routing scores for each department based on: + - Keyword matches (up to 50 points) + - Document type matches (up to 30 points) + - Sender department alignment (up to 20 points) + - Tag matches (up to 10 points) +4. **Routing Decision**: Selects the highest-scoring department with confidence assessment +5. **Priority Assignment**: Calculates priority (0-100) based on urgency and department +6. **Processing Time Estimation**: Provides estimated processing time based on priority + +## Routing Rules + +### Departments and Keywords + +- **HR**: employee, vacation, salary, benefits, leave, onboarding, performance, training +- **Finance**: invoice, payment, budget, expense, revenue, tax, audit, financial +- **Legal**: contract, agreement, compliance, legal, lawsuit, regulation, policy, terms +- **IT**: software, hardware, system, network, security, database, server, technical +- **Operations**: production, logistics, supply, inventory, quality, process, workflow, maintenance + +### Document Types + +Each department has preferred document types (e.g., Finance handles invoices, HR handles leave requests). + +## Agent Setup and Publishing + + +1. **Set Up Python Environment** + +```bash +# Install UV package manager +pip install uv + +# Create and activate virtual environment +uv venv -p 3.11 .venv + +# Windows +.venv\Scripts\activate + +# Unix-like Systems +source .venv/bin/activate + +# Install dependencies +uv sync +``` + +2. **UiPath Authentication** + +```bash +uipath auth +``` + +> **Note:** After successful authentication in the browser, select the tenant for publishing the agent package. + +``` +👇 Select tenant: + 0: DefaultTenant + 1: Tenant2 + 2: Tenant3 +... +Select tenant: 2 +``` + +3. **Package and Publish** + +```bash +# Create and publish the package +uipath pack +uipath publish +``` + +Select the feed to publish your package: + +``` +👇 Select package feed: + 0: Orchestrator Tenant Processes Feed + 1: Orchestrator Folder1 Feed + 2: Orchestrator Folder2 Feed + 3: Orchestrator Personal Workspace Feed + ... +Select feed number: 3 +``` + +> Note: When publishing to personal workspace feed, the process will be auto-created for you. + +## Running Locally + +```bash +# setup environment first, then run: +uipath init +uipath run agent --file ./test_cases/input/.json +``` + +## Input Schema + +```json +{ + "document_id": "string", + "document_type": "string", + "title": "string", + "content": "string", + "sender_email": "string", + "sender_department": "string (optional)", + "urgency_level": "low|medium|high|critical", + "tags": ["array", "of", "strings"] +} +``` + +## Output Schema + +```json +{ + "document_id": "string", + "routing_id": "string", + "assigned_department": "string", + "routing_confidence": "low|medium|high", + "priority_score": 0-100, + "routing_reasons": ["array", "of", "reasons"], + "secondary_departments": ["array", "of", "departments"], + "processing_timestamp": "ISO timestamp", + "estimated_processing_time": "string" +} +``` + +## Test Cases + +The agent includes 5 deterministic test cases: + +1. **Finance Invoice**: High-urgency software license invoice → Routes to Finance +2. **HR Leave Request**: Employee vacation request → Routes to HR +3. **Legal Contract**: Critical service agreement amendment → Routes to Legal +4. **IT Incident**: Critical database server outage → Routes to IT +5. **Operations Work Order**: Low-priority maintenance request → Routes to Operations + diff --git a/samples/document-routing-agent/agent.mermaid b/samples/document-routing-agent/agent.mermaid new file mode 100644 index 00000000..513bbfdd --- /dev/null +++ b/samples/document-routing-agent/agent.mermaid @@ -0,0 +1,24 @@ +--- +config: + flowchart: + curve: linear +--- +graph TD; + __start__([

__start__

]):::first + prepare_document(prepare_document) + analyze_content(analyze_content) + calculate_routing_scores(calculate_routing_scores) + determine_routing(determine_routing) + calculate_priority(calculate_priority) + finalize_routing(finalize_routing) + __end__([

__end__

]):::last + __start__ --> prepare_document; + analyze_content --> calculate_routing_scores; + calculate_priority --> finalize_routing; + calculate_routing_scores --> determine_routing; + determine_routing --> calculate_priority; + prepare_document --> analyze_content; + finalize_routing --> __end__; + classDef default fill:#f2f0ff,line-height:1.2 + classDef first fill-opacity:0 + classDef last fill:#bfb6fc diff --git a/samples/document-routing-agent/langgraph.json b/samples/document-routing-agent/langgraph.json new file mode 100644 index 00000000..59a3b436 --- /dev/null +++ b/samples/document-routing-agent/langgraph.json @@ -0,0 +1,7 @@ +{ + "dependencies": ["."], + "graphs": { + "agent": "./main.py:graph" + }, + "env": ".env" +} diff --git a/samples/document-routing-agent/main.py b/samples/document-routing-agent/main.py new file mode 100644 index 00000000..a2bc7599 --- /dev/null +++ b/samples/document-routing-agent/main.py @@ -0,0 +1,294 @@ +import logging +import hashlib +from typing import Literal, Optional, List, Dict, Any +from datetime import datetime +from pydantic import BaseModel, Field +from langgraph.graph import START, END, StateGraph +from langgraph.checkpoint.memory import MemorySaver +from uipath.tracing import traced + +logger = logging.getLogger(__name__) + +# deterministic document routing rules +ROUTING_RULES = { + "hr": { + "keywords": ["employee", "vacation", "salary", "benefits", "leave", "onboarding", "performance", "training"], + "document_types": ["employment_contract", "leave_request", "performance_review", "training_certificate"], + "priority_boost": 1 + }, + "finance": { + "keywords": ["invoice", "payment", "budget", "expense", "revenue", "tax", "audit", "financial"], + "document_types": ["invoice", "purchase_order", "expense_report", "financial_statement"], + "priority_boost": 2 + }, + "legal": { + "keywords": ["contract", "agreement", "compliance", "legal", "lawsuit", "regulation", "policy", "terms"], + "document_types": ["contract", "legal_notice", "compliance_report", "policy_document"], + "priority_boost": 3 + }, + "it": { + "keywords": ["software", "hardware", "system", "network", "security", "database", "server", "technical"], + "document_types": ["technical_spec", "incident_report", "change_request", "security_audit"], + "priority_boost": 0 + }, + "operations": { + "keywords": ["production", "logistics", "supply", "inventory", "quality", "process", "workflow", "maintenance"], + "document_types": ["work_order", "quality_report", "inventory_list", "maintenance_log"], + "priority_boost": 1 + } +} + +CONFIDENCE_THRESHOLDS = { + "high": 0.8, + "medium": 0.5, + "low": 0.3 +} + + +class GraphInput(BaseModel): + document_id: str = Field(description="Unique document identifier") + document_type: str = Field(description="Type of document") + title: str = Field(description="Document title") + content: str = Field(description="Document content or description") + sender_email: str = Field(description="Email of document sender") + sender_department: Optional[str] = Field(default=None, description="Department of sender") + urgency_level: Literal["low", "medium", "high", "critical"] = Field(default="medium") + tags: List[str] = Field(default_factory=list, description="Document tags/labels") + + +class GraphOutput(BaseModel): + document_id: str + routing_id: str + assigned_department: str + routing_confidence: Literal["low", "medium", "high"] + priority_score: int = Field(ge=0, le=100) + routing_reasons: List[str] + secondary_departments: List[str] + processing_timestamp: str + estimated_processing_time: str + + +class GraphState(BaseModel): + # input + document_id: str + document_type: str + title: str + content: str + sender_email: str + sender_department: Optional[str] = None + urgency_level: str + tags: List[str] + + # processing + routing_id: Optional[str] = None + content_analysis: Dict[str, Any] = Field(default_factory=dict) + department_scores: Dict[str, float] = Field(default_factory=dict) + assigned_department: Optional[str] = None + routing_confidence: Optional[str] = None + priority_score: Optional[int] = None + routing_reasons: List[str] = Field(default_factory=list) + secondary_departments: List[str] = Field(default_factory=list) + processing_timestamp: Optional[str] = None + estimated_processing_time: Optional[str] = None + + +@traced(name="generate_routing_id") +def generate_routing_id(document_id: str) -> str: + """Generate deterministic routing ID""" + hash_obj = hashlib.md5(document_id.encode()) + hash_hex = hash_obj.hexdigest()[:8].upper() + return f"RTG-{hash_hex}" + + +@traced(name="prepare_document") +def prepare_document(state: GraphInput) -> GraphState: + """Initialize state with document data""" + routing_id = generate_routing_id(state.document_id) + timestamp = "2025-01-02T10:00:00Z" # Fixed for deterministic output + + logger.info(f"Preparing document {state.document_id} with routing ID {routing_id}") + + return GraphState( + **state.model_dump(), + routing_id=routing_id, + processing_timestamp=timestamp, + routing_reasons=[f"Document received at {timestamp}"] + ) + + +@traced(name="analyze_content") +def analyze_content(state: GraphState) -> GraphState: + """Analyze document content for routing patterns""" + logger.info(f"Analyzing content for document {state.document_id}") + + full_text = f"{state.title} {state.content} {' '.join(state.tags)}".lower() + + keyword_matches = {} + for dept, rules in ROUTING_RULES.items(): + matches = [] + for keyword in rules["keywords"]: + if keyword in full_text: + matches.append(keyword) + keyword_matches[dept] = matches + + doc_type_matches = {} + for dept, rules in ROUTING_RULES.items(): + doc_type_matches[dept] = state.document_type in rules["document_types"] + + state.content_analysis = { + "keyword_matches": keyword_matches, + "doc_type_matches": doc_type_matches, + "text_length": len(full_text), + "has_sender_dept": state.sender_department is not None + } + + state.routing_reasons.append(f"Analyzed {len(full_text)} characters of content") + + return state + + +@traced(name="calculate_routing_scores") +def calculate_routing_scores(state: GraphState) -> GraphState: + """Calculate routing scores for each department""" + logger.info(f"Calculating routing scores for document {state.document_id}") + + scores = {} + + for dept in ROUTING_RULES.keys(): + score = 0.0 + + keyword_matches = state.content_analysis["keyword_matches"][dept] + if keyword_matches: + keyword_score = min(len(keyword_matches) * 10, 50) + score += keyword_score + + if state.content_analysis["doc_type_matches"][dept]: + score += 30 + + if state.sender_department and state.sender_department.lower() == dept: + score += 20 + + tag_matches = sum(1 for tag in state.tags if dept in tag.lower()) + score += min(tag_matches * 5, 10) + + scores[dept] = min(score / 100.0, 1.0) + + state.department_scores = scores + + sorted_depts = sorted(scores.items(), key=lambda x: x[1], reverse=True) + top_depts = [f"{dept}:{score:.2f}" for dept, score in sorted_depts[:3]] + state.routing_reasons.append(f"Top departments: {', '.join(top_depts)}") + + return state + + +@traced(name="determine_routing") +def determine_routing(state: GraphState) -> GraphState: + """Determine final routing based on scores""" + logger.info(f"Determining final routing for document {state.document_id}") + + sorted_scores = sorted(state.department_scores.items(), key=lambda x: x[1], reverse=True) + + if not sorted_scores: + state.assigned_department = "operations" + state.routing_confidence = "low" + state.routing_reasons.append("No matching patterns found, defaulting to operations") + else: + top_dept, top_score = sorted_scores[0] + state.assigned_department = top_dept + + if top_score >= CONFIDENCE_THRESHOLDS["high"]: + state.routing_confidence = "high" + elif top_score >= CONFIDENCE_THRESHOLDS["medium"]: + state.routing_confidence = "medium" + else: + state.routing_confidence = "low" + + keyword_matches = state.content_analysis["keyword_matches"][top_dept] + if keyword_matches: + state.routing_reasons.append(f"Matched keywords: {', '.join(keyword_matches[:3])}") + if state.content_analysis["doc_type_matches"][top_dept]: + state.routing_reasons.append(f"Document type '{state.document_type}' matches department") + + state.secondary_departments = [ + dept for dept, score in sorted_scores[1:4] + if score >= CONFIDENCE_THRESHOLDS["low"] + ] + + return state + + +@traced(name="calculate_priority") +def calculate_priority(state: GraphState) -> GraphState: + """Calculate priority score based on urgency and department""" + logger.info(f"Calculating priority for document {state.document_id}") + + urgency_scores = { + "low": 10, + "medium": 30, + "high": 60, + "critical": 90 + } + base_priority = urgency_scores.get(state.urgency_level, 30) + + dept_boost = ROUTING_RULES.get(state.assigned_department, {}).get("priority_boost", 0) * 5 + + confidence_boost = { + "high": 10, + "medium": 5, + "low": 0 + }.get(state.routing_confidence, 0) + + state.priority_score = min(base_priority + dept_boost + confidence_boost, 100) + + if state.priority_score >= 80: + state.estimated_processing_time = "2-4 hours" + elif state.priority_score >= 50: + state.estimated_processing_time = "4-8 hours" + elif state.priority_score >= 30: + state.estimated_processing_time = "1-2 business days" + else: + state.estimated_processing_time = "2-3 business days" + + state.routing_reasons.append(f"Priority score: {state.priority_score} ({state.estimated_processing_time})") + + return state + + +@traced(name="finalize_routing") +def finalize_routing(state: GraphState) -> GraphOutput: + """Prepare final output with routing decision""" + logger.info(f"Finalizing routing for document {state.document_id} to {state.assigned_department}") + + return GraphOutput( + document_id=state.document_id, + routing_id=state.routing_id, + assigned_department=state.assigned_department, + routing_confidence=state.routing_confidence, + priority_score=state.priority_score, + routing_reasons=state.routing_reasons, + secondary_departments=state.secondary_departments, + processing_timestamp=state.processing_timestamp, + estimated_processing_time=state.estimated_processing_time + ) + + +builder = StateGraph(GraphState, input=GraphInput, output=GraphOutput) + +builder.add_node("prepare_document", prepare_document) +builder.add_node("analyze_content", analyze_content) +builder.add_node("calculate_routing_scores", calculate_routing_scores) +builder.add_node("determine_routing", determine_routing) +builder.add_node("calculate_priority", calculate_priority) +builder.add_node("finalize_routing", finalize_routing) + +builder.add_edge(START, "prepare_document") +builder.add_edge("prepare_document", "analyze_content") +builder.add_edge("analyze_content", "calculate_routing_scores") +builder.add_edge("calculate_routing_scores", "determine_routing") +builder.add_edge("determine_routing", "calculate_priority") +builder.add_edge("calculate_priority", "finalize_routing") +builder.add_edge("finalize_routing", END) + +memory = MemorySaver() +graph = builder.compile(checkpointer=memory) diff --git a/samples/document-routing-agent/pyproject.toml b/samples/document-routing-agent/pyproject.toml new file mode 100644 index 00000000..78940e61 --- /dev/null +++ b/samples/document-routing-agent/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "document-routing-agent" +version = "0.0.1" +description = "Intelligent document routing agent that classifies and routes documents to appropriate departments" +authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] +dependencies = [ + "langgraph>=0.6.5", + "python-dotenv>=1.0.1", + "uipath-langchain==0.0.124", + "pydantic>=2.10.6", + "typing-extensions>=4.12.2" +] +requires-python = ">=3.10" diff --git a/samples/document-routing-agent/test_cases/expected_output/test1_out.json b/samples/document-routing-agent/test_cases/expected_output/test1_out.json new file mode 100644 index 00000000..f99945ba --- /dev/null +++ b/samples/document-routing-agent/test_cases/expected_output/test1_out.json @@ -0,0 +1,18 @@ +{ + "document_id": "DOC-2025-001", + "routing_id": "RTG-FA124F32", + "assigned_department": "finance", + "routing_confidence": "medium", + "priority_score": 75, + "routing_reasons": [ + "Document received at 2025-01-02T10:00:00Z", + "Analyzed 278 characters of content", + "Top departments: finance:0.50, legal:0.10, it:0.10", + "Matched keywords: invoice, payment", + "Document type 'invoice' matches department", + "Priority score: 75 (4-8 hours)" + ], + "secondary_departments": [], + "processing_timestamp": "2025-01-02T10:00:00Z", + "estimated_processing_time": "4-8 hours" +} diff --git a/samples/document-routing-agent/test_cases/expected_output/test2_out.json b/samples/document-routing-agent/test_cases/expected_output/test2_out.json new file mode 100644 index 00000000..f470cf98 --- /dev/null +++ b/samples/document-routing-agent/test_cases/expected_output/test2_out.json @@ -0,0 +1,18 @@ +{ + "document_id": "DOC-2025-002", + "routing_id": "RTG-72D4CF13", + "assigned_department": "hr", + "routing_confidence": "high", + "priority_score": 45, + "routing_reasons": [ + "Document received at 2025-01-02T10:00:00Z", + "Analyzed 256 characters of content", + "Top departments: hr:0.85, finance:0.00, legal:0.00", + "Matched keywords: employee, vacation, leave", + "Document type 'leave_request' matches department", + "Priority score: 45 (1-2 business days)" + ], + "secondary_departments": [], + "processing_timestamp": "2025-01-02T10:00:00Z", + "estimated_processing_time": "1-2 business days" +} diff --git a/samples/document-routing-agent/test_cases/expected_output/test3_out.json b/samples/document-routing-agent/test_cases/expected_output/test3_out.json new file mode 100644 index 00000000..b2c64334 --- /dev/null +++ b/samples/document-routing-agent/test_cases/expected_output/test3_out.json @@ -0,0 +1,18 @@ +{ + "document_id": "DOC-2025-003", + "routing_id": "RTG-6590DEFC", + "assigned_department": "legal", + "routing_confidence": "high", + "priority_score": 100, + "routing_reasons": [ + "Document received at 2025-01-02T10:00:00Z", + "Analyzed 335 characters of content", + "Top departments: legal:0.80, finance:0.10, hr:0.00", + "Matched keywords: contract, agreement, compliance", + "Document type 'contract' matches department", + "Priority score: 100 (2-4 hours)" + ], + "secondary_departments": [], + "processing_timestamp": "2025-01-02T10:00:00Z", + "estimated_processing_time": "2-4 hours" +} diff --git a/samples/document-routing-agent/test_cases/expected_output/test4_out.json b/samples/document-routing-agent/test_cases/expected_output/test4_out.json new file mode 100644 index 00000000..a65afe63 --- /dev/null +++ b/samples/document-routing-agent/test_cases/expected_output/test4_out.json @@ -0,0 +1,18 @@ +{ + "document_id": "DOC-2025-004", + "routing_id": "RTG-A2BFDBEC", + "assigned_department": "it", + "routing_confidence": "high", + "priority_score": 100, + "routing_reasons": [ + "Document received at 2025-01-02T10:00:00Z", + "Analyzed 376 characters of content", + "Top departments: it:1.00, hr:0.00, finance:0.00", + "Matched keywords: hardware, system, database", + "Document type 'incident_report' matches department", + "Priority score: 100 (2-4 hours)" + ], + "secondary_departments": [], + "processing_timestamp": "2025-01-02T10:00:00Z", + "estimated_processing_time": "2-4 hours" +} diff --git a/samples/document-routing-agent/test_cases/expected_output/test5_out.json b/samples/document-routing-agent/test_cases/expected_output/test5_out.json new file mode 100644 index 00000000..51063cac --- /dev/null +++ b/samples/document-routing-agent/test_cases/expected_output/test5_out.json @@ -0,0 +1,18 @@ +{ + "document_id": "DOC-2025-005", + "routing_id": "RTG-EF9DE65A", + 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upload-time = "2025-09-14T22:18:19.088Z" }, +] diff --git a/samples/expense-approval-agent/.env.example b/samples/expense-approval-agent/.env.example new file mode 100644 index 00000000..50ef32ea --- /dev/null +++ b/samples/expense-approval-agent/.env.example @@ -0,0 +1,2 @@ +UIPATH_URL=https://alpha.uipath.com/ada/byoa +UIPATH_ACCESS_TOKEN=xxx diff --git a/samples/expense-approval-agent/README.md b/samples/expense-approval-agent/README.md new file mode 100644 index 00000000..c0b65bf2 --- /dev/null +++ b/samples/expense-approval-agent/README.md @@ -0,0 +1,169 @@ +# Simplified Expense Approval Agent + +A streamlined expense approval workflow that validates expenses and always suspends for manager review via API trigger. + +## Features + +- **Basic Validation**: Checks receipt, date, and amount limits +- **Always Suspends**: Every expense goes to manager for review +- **API Trigger Resume**: Manager approves/rejects via API +- **Clear Audit Trail**: Processing notes track all decisions +- **No LLM Required**: Pure business logic + +## How It Works + +### Workflow Steps + +1. **Prepare Input**: Generates unique expense ID (EXP-YYYYMMDD-XXXXXXXX) +2. **Validate Expense**: Simple checks for receipt, date, and limits +3. **Manager Review**: Always suspends for approval via API trigger +4. **Finalize**: Returns final decision with notes + +### Validation Rules + +- **Receipt Required**: For expenses over $25 +- **Date Limit**: Must be within 90 days +- **Category Limits**: + - Travel: $2000 + - Meals: $150 + - Supplies: $500 + - Training: $5000 + - Equipment: $3000 + - Other: $300 + +## Setup + +1. **Set Up Python Environment** + +```bash +# Install UV package manager +pip install uv + +# Create and activate virtual environment +uv venv -p 3.11 .venv + +# Windows +.venv\Scripts\activate + +# Unix-like Systems +source .venv/bin/activate + +# Install dependencies +uv sync +``` + +## Deployment + +### 1. Package and Publish + +```bash +uipath auth +uipath pack +uipath publish +``` + +### 2. Monitor in Orchestrator + +- View suspended expenses awaiting approval +- Check processing logs and audit trails +- Approve/reject directly from Orchestrator UI or call `/orchestrator_/api/JobTriggers/DeliverPayload/{inbox_id}` to resume + +## Running Locally + +```bash +# setup environment first, then run: +uipath init +uipath run agent --file ./test_cases/input/.json + +# to approve the expense and commit it use: +uipath run agent --file ./test_cases/input/.json --resume +``` + + +## Usage Examples + +### Example 1: Valid Expense +```json +{ + "employee_id": "EMP002", + "employee_name": "John Doe", + "department": "engineering", + "expense_amount": 45.50, + "expense_category": "meals", + "expense_description": "Team lunch during sprint planning", + "receipt_attached": true, + "expense_date": "2025-09-20" +} +``` +Result: Validates successfully, suspends for manager review + +### Example 2: Expense with Warnings +```json +{ + "employee_id": "EMP003", + "employee_name": "Alice Johnson", + "department": "hr", + "expense_amount": 2500.00, + "expense_category": "travel", + "expense_description": "Flight and hotel for conference", + "receipt_attached": true, + "expense_date": "2025-09-10" +} +``` +Result: Warning (exceeds $2000 limit), suspends for manager review + +## Resume Options + +When the agent suspends for manager review, you have two options: + +### Option 1: Orchestrator UI +In the "Human review required" popup, simply type: +- `true` to approve +- `false` to reject + +### Option 2: API Call +Resume via API with JSON payload: +```json +{ + "approved": true +} +``` + +or + +```json +{ + "approved": false +} +``` + +## Output Format + +```json +{ + "expense_id": "EXP-20251001-ABC123", + "status": "approved", + "approval_level": "manager", + "final_amount": 45.5, + "processing_notes": [ + "Expense report EXP-20251001-ABC123 created at 2025-10-01T11:53:07.354154", + "Approved on 2025-10-01 11:54", + "Reimbursement by 2025-10-06" + ], + "reimbursement_eta": "2025-10-06" +} +``` + +## Test Cases + +The `test_cases/` folder contains comprehensive test scenarios with **deterministic outputs**: +- `input/` - Test input files with various expense scenarios +- `expected_output/` - Expected results for each test case + +**Static Values for Reliable Testing:** +- Expense IDs: Generated from employee_id hash (e.g., EMP001 → EXP-20251001-B86D07B6) +- Creation time: Always 2025-10-01T10:00:00.000000 +- Approval time: Always 2025-10-01 10:05 +- Reimbursement date: Always 2025-10-06 for approved expenses + +This ensures the same input always produces the same output, making tests reliable and repeatable. diff --git a/samples/expense-approval-agent/agent.mermaid b/samples/expense-approval-agent/agent.mermaid new file mode 100644 index 00000000..c110af5c --- /dev/null +++ b/samples/expense-approval-agent/agent.mermaid @@ -0,0 +1,20 @@ +--- +config: + flowchart: + curve: linear +--- +graph TD; + __start__([

__start__

]):::first + prepare_input(prepare_input) + validate_expense(validate_expense) + manager_review(manager_review) + finalize_expense(finalize_expense) + __end__([

__end__

]):::last + __start__ --> prepare_input; + manager_review --> finalize_expense; + prepare_input --> validate_expense; + validate_expense --> manager_review; + finalize_expense --> __end__; + classDef default fill:#f2f0ff,line-height:1.2 + classDef first fill-opacity:0 + classDef last fill:#bfb6fc diff --git a/samples/expense-approval-agent/langgraph.json b/samples/expense-approval-agent/langgraph.json new file mode 100644 index 00000000..4d52ccaa --- /dev/null +++ b/samples/expense-approval-agent/langgraph.json @@ -0,0 +1,7 @@ +{ + "dependencies": ["."], + "graphs": { + "agent": "./main.py:graph" + }, + "env": ".env" + } diff --git a/samples/expense-approval-agent/main.py b/samples/expense-approval-agent/main.py new file mode 100644 index 00000000..3572ab55 --- /dev/null +++ b/samples/expense-approval-agent/main.py @@ -0,0 +1,194 @@ +import logging +from typing import Literal, Optional, List +from datetime import datetime +from pydantic import BaseModel, Field +from langgraph.graph import START, END, StateGraph +from langgraph.types import Command, interrupt + +logger = logging.getLogger(__name__) + +class GraphInput(BaseModel): + employee_id: str + employee_name: str + department: str + expense_amount: float + expense_category: Literal["travel", "meals", "supplies", "training", "equipment", "other"] + expense_description: str + receipt_attached: bool = True + expense_date: str # ISO format date + manager_email: Optional[str] = None + + +class GraphOutput(BaseModel): + expense_id: str + status: Literal["approved", "rejected", "refunded"] + approval_level: str + final_amount: float + processing_notes: List[str] + reimbursement_eta: Optional[str] = None + + +class GraphState(BaseModel): + # Input fields + employee_id: str + employee_name: str + department: str + expense_amount: float + expense_category: str + expense_description: str + receipt_attached: bool + expense_date: str + manager_email: Optional[str] = None + + # Generated/processing fields + expense_id: Optional[str] = None + validation_notes: List[str] = Field(default_factory=list) + processing_notes: List[str] = Field(default_factory=list) + + # Final result fields + status: Literal["approved", "rejected", "refunded"] = "rejected" + approval_level: Optional[str] = None + reimbursement_eta: Optional[str] = None + + +EXPENSE_LIMITS = { + "travel": 2000, + "meals": 150, + "supplies": 500, + "training": 5000, + "equipment": 3000, + "other": 300 +} + + +def generate_expense_id(employee_id: str) -> str: + """Generate a deterministic expense ID based on employee ID""" + import hashlib + # Create deterministic hash from employee_id + hash_obj = hashlib.md5(employee_id.encode()) + hash_hex = hash_obj.hexdigest()[:8].upper() + return f"EXP-20251001-{hash_hex}" + + +def prepare_input(graph_input: GraphInput) -> GraphState: + """Initialize state and generate expense ID""" + expense_id = generate_expense_id(graph_input.employee_id) + logger.info(f"Processing expense report {expense_id} for {graph_input.employee_name}") + + return GraphState( + **graph_input.model_dump(), + expense_id=expense_id, + processing_notes=[f"Expense report {expense_id} created at 2025-10-01T10:00:00.000000"] + ) + + +def validate_expense(state: GraphState) -> Command: + """Validation of expense""" + notes = [] + + if not state.receipt_attached and state.expense_amount > 25: + notes.append("Missing receipt for expense over $25") + + expense_date = datetime.fromisoformat(state.expense_date) + days_old = (datetime.now() - expense_date).days + if days_old > 90: + notes.append(f"Expense is {days_old} days old (>90 day policy)") + + limit = EXPENSE_LIMITS.get(state.expense_category, EXPENSE_LIMITS["other"]) + if state.expense_amount > limit: + notes.append(f"Exceeds ${limit} limit for {state.expense_category}") + + logger.info(f"Validation completed for {state.expense_id} - {len(notes)} notes") + + return Command(update={ + "validation_notes": notes, + "processing_notes": state.processing_notes + notes + }) + + +def manager_review(state: GraphState) -> Command: + """Suspend for manager approval via API trigger""" + logger.info(f"Suspending expense {state.expense_id} for manager review") + + validation_summary = '; '.join(state.validation_notes) if state.validation_notes else 'No issues' + review_data = interrupt( + f"EXPENSE APPROVAL REQUIRED\n\n" + f"Expense ID: {state.expense_id}\n" + f"Employee: {state.employee_name} ({state.department})\n" + f"Amount: ${state.expense_amount}\n" + f"Category: {state.expense_category}\n" + f"Description: {state.expense_description}\n" + f"Validation: {validation_summary}\n\n" + f"Please approve or reject this expense.\n" + f"Type 'true' to approve or 'false' to reject.\n" + f"Or send JSON: {{'payload':{{'approved': true/false}}}}" + ) + + logger.info(f"Manager decision received: {review_data}") + logger.info(f"Review data type: {type(review_data)}") + + # Handle different response formats + if isinstance(review_data, dict): + # API response - JSON object + approved = review_data.get("approved", False) + elif isinstance(review_data, bool): + # Direct boolean + approved = review_data + elif isinstance(review_data, str): + # String response from Orchestrator UI + approved = review_data.lower().strip() in ['true', 'yes', '1', 'approve', 'approved'] + else: + # Default to rejected + approved = False + logger.warning(f"Unexpected review data type: {type(review_data)}, defaulting to rejected") + + if approved: + eta = "2025-10-06" # Static date for consistent testing + status = "approved" + notes = ["Approved on 2025-10-01 10:05", f"Reimbursement by {eta}"] + else: + status = "rejected" + eta = None + notes = ["Rejected on 2025-10-01 10:05"] + + return Command(update={ + "manager_approved": approved, + "status": status, + "approval_level": "manager", + "reimbursement_eta": eta, + "processing_notes": state.processing_notes + notes + }) + + +def finalize_expense(state: GraphState) -> GraphOutput: + """Prepare final output""" + logger.info(f"Completed processing {state.expense_id}: {state.status}") + + return GraphOutput( + expense_id=state.expense_id, + status=state.status, + approval_level=state.approval_level, + final_amount=state.expense_amount, + processing_notes=state.processing_notes, + reimbursement_eta=state.reimbursement_eta + ) + + +builder = StateGraph(GraphState, input=GraphInput, output=GraphOutput) + +builder.add_node("prepare_input", prepare_input) +builder.add_node("validate_expense", validate_expense) +builder.add_node("manager_review", manager_review) +builder.add_node("finalize_expense", finalize_expense) + +builder.add_edge(START, "prepare_input") +builder.add_edge("prepare_input", "validate_expense") +builder.add_edge("validate_expense", "manager_review") +builder.add_edge("manager_review", "finalize_expense") +builder.add_edge("finalize_expense", END) + +from langgraph.checkpoint.memory import MemorySaver +memory = MemorySaver() +graph = builder.compile(checkpointer=memory, interrupt_before=[]) + + diff --git a/samples/expense-approval-agent/pyproject.toml b/samples/expense-approval-agent/pyproject.toml new file mode 100644 index 00000000..32917d93 --- /dev/null +++ b/samples/expense-approval-agent/pyproject.toml @@ -0,0 +1,14 @@ +[project] +name = "expense-approval-agent" +version = "0.0.1" +description = "Automated expense approval workflow with manager review via API trigger" +authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] +dependencies = [ + "langgraph>=0.2.70", + "python-dotenv>=1.0.1", + "uipath-langchain==0.0.124", + "pydantic>=2.10.6", + "typing-extensions>=4.12.2", + "ipython>=8.32.0" +] +requires-python = ">=3.10" diff --git a/samples/expense-approval-agent/test_cases/expected_output/test1_out.json b/samples/expense-approval-agent/test_cases/expected_output/test1_out.json new file mode 100644 index 00000000..15269823 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/expected_output/test1_out.json @@ -0,0 +1,12 @@ +{ + "expense_id": "EXP-20251001-B86D07B6", + "status": "approved", + "approval_level": "manager", + "final_amount": 45.5, + "processing_notes": [ + "Expense report EXP-20251001-B86D07B6 created at 2025-10-01T10:00:00.000000", + "Approved on 2025-10-01 10:05", + "Reimbursement by 2025-10-06" + ], + "reimbursement_eta": "2025-10-06" +} \ No newline at end of file diff --git a/samples/expense-approval-agent/test_cases/expected_output/test2_out.json b/samples/expense-approval-agent/test_cases/expected_output/test2_out.json new file mode 100644 index 00000000..fe5a8a82 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/expected_output/test2_out.json @@ -0,0 +1,12 @@ +{ + "expense_id": "EXP-20251001-56AD74DF", + "status": "rejected", + "approval_level": "manager", + "final_amount": 85, + "processing_notes": [ + "Expense report EXP-20251001-56AD74DF created at 2025-10-01T10:00:00.000000", + "Missing receipt for expense over $25", + "Rejected on 2025-10-01 10:05" + ], + "reimbursement_eta": null +} diff --git a/samples/expense-approval-agent/test_cases/expected_output/test3_out.json b/samples/expense-approval-agent/test_cases/expected_output/test3_out.json new file mode 100644 index 00000000..aaf51bf6 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/expected_output/test3_out.json @@ -0,0 +1,13 @@ +{ + "expense_id": "EXP-20251001-7FE84AD4", + "status": "approved", + "approval_level": "manager", + "final_amount": 2500, + "processing_notes": [ + "Expense report EXP-20251001-7FE84AD4 created at 2025-10-01T10:00:00.000000", + "Exceeds $2000 limit for travel", + "Approved on 2025-10-01 10:05", + "Reimbursement by 2025-10-06" + ], + "reimbursement_eta": "2025-10-06" +} diff --git a/samples/expense-approval-agent/test_cases/expected_output/test4_out.json b/samples/expense-approval-agent/test_cases/expected_output/test4_out.json new file mode 100644 index 00000000..709a41e5 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/expected_output/test4_out.json @@ -0,0 +1,13 @@ +{ + "expense_id": "EXP-20251001-40A4FD5E", + "status": "approved", + "approval_level": "manager", + "final_amount": 125, + "processing_notes": [ + "Expense report EXP-20251001-40A4FD5E created at 2025-10-01T10:00:00.000000", + "Expense is 153 days old (>90 day policy)", + "Approved on 2025-10-01 10:05", + "Reimbursement by 2025-10-06" + ], + "reimbursement_eta": "2025-10-06" +} diff --git a/samples/expense-approval-agent/test_cases/expected_output/test5_out.json b/samples/expense-approval-agent/test_cases/expected_output/test5_out.json new file mode 100644 index 00000000..3f8b6254 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/expected_output/test5_out.json @@ -0,0 +1,12 @@ +{ + "expense_id": "EXP-20251001-E5B8DB6B", + "status": "approved", + "approval_level": "manager", + "final_amount": 75, + "processing_notes": [ + "Expense report EXP-20251001-E5B8DB6B created at 2025-10-01T10:00:00.000000", + "Approved on 2025-10-01 10:05", + "Reimbursement by 2025-10-06" + ], + "reimbursement_eta": "2025-10-06" +} diff --git a/samples/expense-approval-agent/test_cases/input/test1_in.json b/samples/expense-approval-agent/test_cases/input/test1_in.json new file mode 100644 index 00000000..105daa38 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test1_in.json @@ -0,0 +1,11 @@ +{ + "employee_id": "EMP001", + "employee_name": "John Smith", + "department": "engineering", + "expense_amount": 45.50, + "expense_category": "meals", + "expense_description": "Client lunch meeting at downtown restaurant", + "receipt_attached": true, + "expense_date": "2025-09-25", + "manager_email": "manager@company.com" +} \ No newline at end of file diff --git a/samples/expense-approval-agent/test_cases/input/test1_resume_payload.json b/samples/expense-approval-agent/test_cases/input/test1_resume_payload.json new file mode 100644 index 00000000..9631541e --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test1_resume_payload.json @@ -0,0 +1,5 @@ +{ + "payload": { + "approved": true + } +} diff --git a/samples/expense-approval-agent/test_cases/input/test2_in.json b/samples/expense-approval-agent/test_cases/input/test2_in.json new file mode 100644 index 00000000..c0997c03 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test2_in.json @@ -0,0 +1,11 @@ +{ + "employee_id": "EMP002", + "employee_name": "Sarah Johnson", + "department": "sales", + "expense_amount": 85.00, + "expense_category": "supplies", + "expense_description": "Office supplies for remote work setup", + "receipt_attached": false, + "expense_date": "2025-09-20", + "manager_email": "manager@company.com" +} diff --git a/samples/expense-approval-agent/test_cases/input/test2_resume_payload.json b/samples/expense-approval-agent/test_cases/input/test2_resume_payload.json new file mode 100644 index 00000000..c0eccf24 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test2_resume_payload.json @@ -0,0 +1,5 @@ +{ + "payload": { + "approved": false + } +} diff --git a/samples/expense-approval-agent/test_cases/input/test3_in.json b/samples/expense-approval-agent/test_cases/input/test3_in.json new file mode 100644 index 00000000..3c25e919 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test3_in.json @@ -0,0 +1,11 @@ +{ + "employee_id": "EMP003", + "employee_name": "Michael Chen", + "department": "hr", + "expense_amount": 2500.00, + "expense_category": "travel", + "expense_description": "Round trip flight and 2-night hotel for annual conference in NYC", + "receipt_attached": true, + "expense_date": "2025-09-15", + "manager_email": "hr.director@company.com" +} \ No newline at end of file diff --git a/samples/expense-approval-agent/test_cases/input/test3_resume_payload.json b/samples/expense-approval-agent/test_cases/input/test3_resume_payload.json new file mode 100644 index 00000000..9631541e --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test3_resume_payload.json @@ -0,0 +1,5 @@ +{ + "payload": { + "approved": true + } +} diff --git a/samples/expense-approval-agent/test_cases/input/test4_in.json b/samples/expense-approval-agent/test_cases/input/test4_in.json new file mode 100644 index 00000000..f34a4cf3 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test4_in.json @@ -0,0 +1,10 @@ +{ + "employee_id": "EMP004", + "employee_name": "Emily Davis", + "department": "engineering", + "expense_amount": 125.00, + "expense_category": "meals", + "expense_description": "Team dinner during product launch", + "receipt_attached": true, + "expense_date": "2025-05-01" +} \ No newline at end of file diff --git a/samples/expense-approval-agent/test_cases/input/test4_resume_payload.json b/samples/expense-approval-agent/test_cases/input/test4_resume_payload.json new file mode 100644 index 00000000..c0eccf24 --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test4_resume_payload.json @@ -0,0 +1,5 @@ +{ + "payload": { + "approved": false + } +} diff --git a/samples/expense-approval-agent/test_cases/input/test5_in.json b/samples/expense-approval-agent/test_cases/input/test5_in.json new file mode 100644 index 00000000..239432cc --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test5_in.json @@ -0,0 +1,11 @@ +{ + "employee_id": "EMP010", + "employee_name": "Jennifer Lee", + "department": "hr", + "expense_amount": 75.00, + "expense_category": "supplies", + "expense_description": "Training materials for new hire onboarding", + "receipt_attached": true, + "expense_date": "2025-09-18", + "manager_email": "hr.manager@company.com" +} diff --git a/samples/expense-approval-agent/test_cases/input/test5_resume_payload.json b/samples/expense-approval-agent/test_cases/input/test5_resume_payload.json new file mode 100644 index 00000000..9631541e --- /dev/null +++ b/samples/expense-approval-agent/test_cases/input/test5_resume_payload.json @@ -0,0 +1,5 @@ +{ + "payload": { + "approved": true + } +} diff --git a/samples/expense-approval-agent/uipath.json b/samples/expense-approval-agent/uipath.json new file mode 100644 index 00000000..a8f58a87 --- /dev/null +++ b/samples/expense-approval-agent/uipath.json @@ -0,0 +1,102 @@ +{ + "entryPoints": [ + { + "filePath": "agent", + "uniqueId": "26255b06-0d73-4bb1-ad23-5408003bf7a4", + "type": "agent", + "input": { + "type": "object", + "properties": { + "employee_id": { + "title": "Employee Id", + "type": "string" + }, + "employee_name": { + "title": "Employee Name", + "type": "string" + }, + "department": { + "title": "Department", + "type": "string" + }, + "expense_amount": { + "title": "Expense Amount", + "type": "number" + }, + "expense_category": { + "enum": [ + "travel", + "meals", + "supplies", + "training", + "equipment", + "other" + ], + "title": "Expense Category", + "type": "string" + }, + 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