OpenAI Assistants API
OpenAI
87·Strong
Overall Trust Score
OpenAI's managed agent framework with native tool use, code interpreter, file search, and persistent threads. Ideal for building stateful conversational applications.
openai
assistants
Trust Vector
Performance & Reliability
89
task completion accuracy90
task completion accuracy
90
Methodology
Based on underlying model performance
Evidence
Confidence: highLast verified: 2025-11-09
tool use reliability92
tool use reliability
92
Methodology
Tool integration testing
Evidence
OpenAI Assistants Tools
Native support for function calling, code interpreter, and file search
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
multi step planning87
multi step planning
87
Methodology
Complex task testing
Evidence
Confidence: mediumLast verified: 2025-11-09
memory persistence95
memory persistence
95
Methodology
Memory system evaluation
Evidence
Confidence: highLast verified: 2025-11-09
error recovery85
error recovery
85
Methodology
Error handling testing
Evidence
Confidence: mediumLast verified: 2025-11-09
latencyValue: Variable (3-10s typical)
latency
Value: Variable (3-10s typical)
Methodology
Performance monitoring
Evidence
Confidence: mediumLast verified: 2025-11-09
Security
87
tool sandboxing90
tool sandboxing
90
Methodology
Security architecture review
Evidence
Confidence: highLast verified: 2025-11-09
access control88
access control
88
Methodology
Access control testing
Evidence
Confidence: highLast verified: 2025-11-09
prompt injection defense85
prompt injection defense
85
Methodology
Injection attack testing
Evidence
Confidence: mediumLast verified: 2025-11-09
data isolation90
data isolation
90
Methodology
Data architecture review
Evidence
Confidence: highLast verified: 2025-11-09
Privacy & Compliance
86
data retention85
data retention
85
Methodology
Privacy policy review
Evidence
OpenAI Data Usage
Thread data retained until deleted, not used for training (enterprise)
Date: 2024-06-01
Confidence: highLast verified: 2025-11-09
gdpr compliance88
gdpr compliance
88
Methodology
Compliance documentation review
Evidence
Confidence: highLast verified: 2025-11-09
file handling security85
file handling security
85
Methodology
File security testing
Evidence
Confidence: highLast verified: 2025-11-09
Trust & Transparency
83
documentation quality92
documentation quality
92
Methodology
Documentation completeness review
Evidence
Confidence: highLast verified: 2025-11-09
execution traceability80
execution traceability
80
Methodology
Logging capabilities assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
decision explainability75
decision explainability
75
Methodology
Explainability features assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
Operational Excellence
88
ease of integration93
ease of integration
93
Methodology
Integration complexity assessment
Evidence
Confidence: highLast verified: 2025-11-09
scalability88
scalability
88
Methodology
Scalability testing
Evidence
Confidence: highLast verified: 2025-11-09
cost predictability82
cost predictability
82
Methodology
Pricing model analysis
Evidence
Confidence: highLast verified: 2025-11-09
Note: Costs can vary significantly based on tool usage
monitoring capabilities85
monitoring capabilities
85
Methodology
Monitoring features assessment
Evidence
Confidence: highLast verified: 2025-11-09
✨ Strengths
- •Native tool integration (function calling, code interpreter, file search)
- •Persistent thread management for stateful conversations
- •Excellent documentation and SDK support
- •Managed infrastructure (no server maintenance)
- •Built on powerful GPT-4 models
- •Good scalability with enterprise support
⚠️ Limitations
- •Higher costs compared to custom agent implementations
- •Limited control over agent execution flow
- •Latency can be high for complex multi-tool operations
- •Vendor lock-in to OpenAI platform
- •Limited native explainability features
- •Code interpreter limited to Python only
📊 Metadata
license: Proprietary
supported models:
0: GPT-4o
1: GPT-4 Turbo
2: GPT-4
3: GPT-3.5 Turbo
programming languages:
0: Python
1: Node.js
2: REST API
deployment type: Managed cloud service
tool support:
0: Function calling
1: Code Interpreter
2: File Search
max files per assistant: 10000
max file size: 512 MB
pricing: Token-based (model pricing) + $0.03/session for Code Interpreter + $0.10/GB/day for File Search (first GB free)
deprecation notice: Being replaced by Responses API and Agents SDK in H1 2026
Use Case Ratings
customer support
93
Excellent for stateful support conversations with file handling
code generation
90
Code interpreter enables powerful code execution and analysis
research assistant
91
File search tool ideal for document analysis
data analysis
92
Code interpreter excellent for data analysis workflows
content creation
85
Good for iterative content creation with memory
education
90
Persistent threads ideal for personalized tutoring
healthcare
82
HIPAA-eligible, but limited specialized medical tools
financial analysis
84
Good security, but requires careful tool access control
legal compliance
88
File search tool useful for contract analysis
creative writing
87
Thread persistence good for iterative brainstorming