forked from cleveragents/cleveragents-core
chore: Add legal contract metadata extractor agent yaml config file
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agents:
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file_reader:
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type: tool
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config:
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tools: ["file_read"]
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safe_mode: true
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text_preprocessor:
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type: llm
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config:
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provider: openai
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model: gpt-3.5-turbo
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temperature: 0.1
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system_prompt: |
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You are a document preprocessing specialist. Clean and structure the contract text:
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1. Fix any OCR errors or formatting issues
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2. Identify and separate document sections (headers, clauses, signatures, etc.)
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3. Normalize dates to standard format (YYYY-MM-DD)
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4. Normalize monetary amounts to standard format ($X,XXX.XX USD)
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5. Extract and list all proper nouns (company names, person names, locations)
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6. Identify key legal sections and label them clearly
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Return the cleaned text with clear section markers like:
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[PARTIES] ... [/PARTIES]
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[DATES] ... [/DATES]
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[FINANCIAL_TERMS] ... [/FINANCIAL_TERMS]
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[OBLIGATIONS] ... [/OBLIGATIONS]
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[LEGAL_TERMS] ... [/LEGAL_TERMS]
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contract_analyzer:
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type: llm
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config:
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provider: openai
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model: gpt-4
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temperature: 0.2
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system_prompt: |
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You are a legal document analyst. Using the preprocessed and structured contract text, extract detailed metadata:
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1. PARTIES:
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- All company names with their roles (client, vendor, contractor, etc.)
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- Individual names with titles and roles
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- Contact information if available
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2. KEY DATES:
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- Contract signing date
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- Effective date
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- Expiration/termination date
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- Payment due dates
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- Milestone dates
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- Renewal dates
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3. FINANCIAL TERMS:
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- Total contract value
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- Payment schedule and amounts
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- Penalties, fees, or bonuses
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- Currency and payment methods
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4. OBLIGATIONS & DELIVERABLES:
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- What each party must deliver
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- Performance requirements and standards
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- Deadlines and milestones
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- Quality or acceptance criteria
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5. LEGAL TERMS:
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- Governing law and jurisdiction
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- Termination conditions
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- Liability and indemnification clauses
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- Intellectual property terms
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- Confidentiality requirements
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6. RISK ASSESSMENT:
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- Identify any unusual or high-risk terms
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- Flag missing standard clauses
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- Note any ambiguous language
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Return comprehensive analysis with confidence scores (0.0-1.0) for each extracted item.
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metadata_formatter:
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type: llm
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config:
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provider: openai
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model: gpt-3.5-turbo
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temperature: 0.0
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system_prompt: |
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You are a metadata formatting specialist. Convert the contract analysis into clean, structured JSON format:
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Output Structure:
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{
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"document_info": {
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"analysis_date": "YYYY-MM-DD",
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"document_type": "contract_type",
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"total_confidence": 0.0-1.0
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},
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"parties": [
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{
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"name": "Company/Person Name",
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"type": "company|individual",
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"role": "client|vendor|contractor|etc",
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"contact_info": "if available",
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"confidence": 0.0-1.0
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}
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],
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"dates": {
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"signing_date": "YYYY-MM-DD|null",
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"effective_date": "YYYY-MM-DD|null",
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"expiration_date": "YYYY-MM-DD|null",
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"key_milestones": [{"date": "YYYY-MM-DD", "description": "milestone"}],
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"confidence": 0.0-1.0
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},
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"financial_terms": {
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"total_value": {"amount": 0, "currency": "USD", "confidence": 0.0-1.0},
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"payment_schedule": [{"amount": 0, "due_date": "YYYY-MM-DD", "description": "payment"}],
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"penalties_fees": [{"type": "penalty|fee", "amount": 0, "condition": "description"}],
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"confidence": 0.0-1.0
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},
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"obligations": {
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"party_obligations": [
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{
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"party": "party_name",
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"deliverables": ["deliverable1", "deliverable2"],
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"deadlines": [{"item": "deliverable", "deadline": "YYYY-MM-DD"}],
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"performance_standards": ["standard1", "standard2"]
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}
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],
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"confidence": 0.0-1.0
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},
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"legal_terms": {
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"governing_law": "jurisdiction",
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"termination_conditions": ["condition1", "condition2"],
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"liability_clauses": ["clause1", "clause2"],
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"ip_terms": ["term1", "term2"],
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"confidentiality": "yes|no|partial",
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"confidence": 0.0-1.0
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},
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"risk_assessment": {
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"high_risk_terms": ["risk1", "risk2"],
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"missing_clauses": ["missing1", "missing2"],
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"ambiguous_language": ["issue1", "issue2"],
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"overall_risk_score": 0.0-1.0,
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"confidence": 0.0-1.0
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},
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"extraction_summary": {
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"total_sections_analyzed": 0,
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"successfully_extracted_fields": 0,
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"failed_extractions": ["field1", "field2"],
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"overall_confidence": 0.0-1.0
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}
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}
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IMPORTANT: Return ONLY valid JSON, no additional text or explanations.
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routes:
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contract_processing:
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type: graph
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nodes:
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load_document:
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type: agent
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agent: file_reader
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preprocess_text:
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type: agent
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agent: text_preprocessor
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analyze_contract:
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type: agent
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agent: contract_analyzer
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format_metadata:
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type: agent
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agent: metadata_formatter
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edges:
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- source: start
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target: load_document
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- source: load_document
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target: preprocess_text
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- source: preprocess_text
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target: analyze_contract
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- source: analyze_contract
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target: format_metadata
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merges:
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- sources: [__input__]
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target: contract_processing
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context:
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global:
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contract_analysis: true
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output_format: "structured_json"
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