tasq/node_modules/agentic-flow/docs/plans/requesty

Requesty.ai Integration - Planning Documentation

Overview

This directory contains comprehensive planning documentation for integrating Requesty.ai as a new provider in the agentic-flow project.

Status: Planning Complete ✅ Implementation Status: Not Started Estimated Effort: 13 hours Risk Level: LOW

What is Requesty.ai?

Requesty.ai is a unified AI gateway providing:

• Access to 300+ AI models from OpenAI, Anthropic, Google, Meta, DeepSeek, and more
• OpenAI-compatible API (drop-in replacement)
• 80% cost savings vs direct Anthropic API
• Built-in analytics, caching, and auto-routing
• Enterprise features (zero downtime, failover, load balancing)

Documentation Structure

Read the documents in this order:

1. 00-overview.md - Start Here

Read this first!

• Executive summary
• Integration goals
• Key differentiators vs OpenRouter
• Strategic benefits
• Success criteria
• Risk assessment

Time to read: 5 minutes

2. 01-api-research.md - Technical Details

For developers implementing the integration

• Complete API specification
• Authentication methods
• Request/response schemas
• Tool calling format
• Model naming conventions
• Rate limits and pricing
• Error handling
• Comparison with OpenRouter and Anthropic

Time to read: 15 minutes

3. 02-architecture.md - System Design

For architects and lead developers

• High-level architecture diagrams
• Component breakdown
• Data flow diagrams
• File structure
• Configuration management
• Error handling strategy
• Performance considerations
• Security architecture

Time to read: 20 minutes

4. 03-implementation-phases.md - Action Plan

For developers ready to implement

• Step-by-step implementation guide
• 5 phases with clear deliverables
• Code examples
• Acceptance criteria
• Timeline estimates
• Post-implementation checklist

Time to read: 25 minutes Implementation time: 13 hours

5. 04-testing-strategy.md - Quality Assurance

For QA engineers and testers

• Unit test specifications
• Integration test scenarios
• E2E user workflows
• Model-specific tests
• Performance benchmarks
• Security tests
• Acceptance criteria

Time to read: 15 minutes Testing time: 3 hours

6. 05-migration-guide.md - User Documentation

For end users

• Quick start guide (3 steps)
• Usage examples
• Model recommendations
• Configuration options
• Migration from other providers
• Troubleshooting
• FAQ

Time to read: 10 minutes

Key Findings

High Compatibility with OpenRouter

The research revealed that Requesty.ai uses almost identical API format to OpenRouter:

Aspect	OpenRouter	Requesty	Compatibility
API Format	OpenAI /chat/completions	OpenAI /chat/completions	100%
Tool Calling	OpenAI functions	OpenAI functions	100%
Streaming	SSE (OpenAI)	SSE (OpenAI)	100%
Auth Method	Bearer token	Bearer token	100%
Request Schema	OpenAI	OpenAI	100%
Response Schema	OpenAI	OpenAI	100%

Implication: We can clone the OpenRouter proxy with minimal changes (~95% code reuse).

Implementation Approach

Strategy: Clone and adapt the existing OpenRouter proxy

Effort Breakdown:

• Phase 1: Core Proxy (4 hours) - Clone OpenRouter proxy
• Phase 2: CLI Integration (2 hours) - Add provider detection
• Phase 3: Model Support (2 hours) - Add model definitions
• Phase 4: Testing (3 hours) - Comprehensive validation
• Phase 5: Documentation (2 hours) - User guides

Total: 13 hours

Major Benefits

1. 300+ Models (vs OpenRouter's 100+)
2. Built-in Analytics (OpenRouter lacks this)
3. Auto-Routing (intelligent model selection)
4. Caching (reduce API costs further)
5. 80% Cost Savings (vs direct Anthropic API)

Risks

Technical Risks: LOW

• API format is well-documented (OpenAI-compatible)
• Pattern is proven (OpenRouter already works)
• 95% code reuse minimizes bugs

Business Risks: LOW

• Multi-provider architecture already supports fallbacks
• Users can easily switch providers
• No vendor lock-in

Quick Reference

Files to Create

agentic-flow/
└── src/
    └── proxy/
        └── anthropic-to-requesty.ts   (~750 lines, 95% from OpenRouter)

Files to Modify

agentic-flow/
├── src/
│   ├── cli-proxy.ts                   (+ ~80 lines)
│   ├── agents/claudeAgent.ts          (+ ~15 lines)
│   └── utils/
│       ├── modelCapabilities.ts       (+ ~50 lines)
│       └── modelOptimizer.ts          (+ ~100 lines)
└── README.md                          (+ Requesty section)

Total Code Impact

Metric	Count
New files	1
Modified files	4
New lines of code	~1,000
Reused lines	~750 (95% from OpenRouter)
Original code	~250

Success Criteria

Must Have (MVP)

• Users can use --provider requesty flag
• Requesty API key via REQUESTY_API_KEY environment variable
• Chat completions work with at least 10 tested models
• Native tool calling support (MCP tools work)
• Streaming responses supported
• Error handling and logging
• Model override via --model flag

Should Have (V1)

• Tool emulation for models without native support
• Model capability detection for Requesty models
• Integration with model optimizer (--optimize)
• Analytics and usage tracking
• Proxy mode for Claude Code/Cursor
• Cost estimation and reporting

Implementation Checklist

Use this checklist when implementing:

Phase 1: Core Proxy ✅ Planned

• Clone anthropic-to-openrouter.ts to anthropic-to-requesty.ts
• Update class name, base URL, API key variable
• Update logging messages
• Test compilation

Phase 2: CLI Integration ✅ Planned

• Add shouldUseRequesty() method
• Add startRequestyProxy() method
• Integrate into start flow
• Update runAgent method
• Test CLI detection

Phase 3: Model Support ✅ Planned

• Add 15+ models to modelCapabilities.ts
• Update claudeAgent.ts provider detection
• Add 10+ models to model optimizer
• Test model detection

Phase 4: Testing ✅ Planned

• Write unit tests (>90% coverage)
• Run integration tests (5+ models)
• Test tool calling
• Test streaming
• Validate error handling

Phase 5: Documentation ✅ Planned

• Update README.md
• Create migration guide
• Update help text
• Update .env.example

Next Steps

1. Review Planning Docs - Read 00-overview.md through 05-migration-guide.md
2. Get Stakeholder Approval - Present plan to team/maintainers
3. Set Up Test Account - Get Requesty.ai API key for testing
4. Begin Implementation - Follow 03-implementation-phases.md
5. Test Thoroughly - Use 04-testing-strategy.md
6. Ship to Users - Deploy with 05-migration-guide.md

Questions?

If you have questions about the implementation plan:

1. Check the FAQ in 05-migration-guide.md
2. Review the specific planning document
3. Open a GitHub issue with questions
4. Tag the planning document author

Contributing

If you find gaps in the planning documentation:

1. Open an issue describing the gap
2. Submit a PR with improvements
3. Update this README with new findings

Changelog

• 2025-01-07 - Initial planning documentation created
• Research completed on Requesty.ai API
• All 6 planning documents written
• Ready for implementation

Credits

Planning Author: Claude Code Project: agentic-flow Based On: OpenRouter integration pattern Documentation Standard: SPARC methodology

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Ready to implement? Start with 03-implementation-phases.md

Need user docs? Jump to 05-migration-guide.md

Want technical details? Read 02-architecture.md