OpenRouter Submission Checklist
Project: OpenClaw + Voice Components
Date: 2025-04-01 (assessment date)
Status: NOT READY FOR SUBMISSION
Reviewer: Subagent Checklist Agent
Executive Summary
Recommendation: NO-GO
The workspace contains:
- OpenClaw: A TypeScript-based AI assistant CLI (not a model)
- Voice cloning Python prototypes (not production-ready)
- Strategic plans for integration
Critical Issue: There is no standalone model file or inference endpoint ready for OpenRouter submission. OpenRouter expects an OpenAI-compatible API serving a specific model, not a full application codebase.
Technical Requirements
| # | Requirement | Status | Notes |
|---|---|---|---|
| 1 | Model uploaded to Hugging Face (or accessible) | ❌ BLOCKER | No model file exists. OpenClaw is an application, not a model. Voice cloning code exists but no trained model artifact uploaded to HF. |
| 2 | API endpoint OpenAI-compatible and tested | ❌ BLOCKER | No API endpoint. Need to create a REST API that accepts /v1/chat/completions format. Current components are CLI tools and Python scripts. |
| 3 | Rate limits documented and enforced | ❌ BLOCKER | No rate limiting implemented. Must add token-based rate limiting (e.g., 100 requests/minute). |
| 4 | Error handling proper | ❌ BLOCKER | No standardized error responses for API. Need proper HTTP status codes, error messages in OpenAI format. |
| 5 | Monitoring/logging in place | ❌ BLOCKER | No logging infrastructure. Need structured logging, request/response tracking, error monitoring (Sentry/datadog). |
Benchmarks
| # | Requirement | Status | Notes |
|---|---|---|---|
| 6 | HumanEval score published | ❌ BLOCKER | No HumanEval evaluation run. Must run HumanEval benchmark (at least pass@1) and document results. |
| 7 | MBPP score published | ❌ BLOCKER | No MBPP evaluation. Must run MBPP benchmark and report scores. |
| 8 | Tool use accuracy documented | ❌ BLOCKER | No tooluse evaluation. If claiming tool capabilities, need accuracy metrics on tool calling benchmarks. |
| 9 | Throughput/latency numbers | ❌ BLOCKER | No performance testing. Need tokens/sec, p50/p99 latency, time-to-first-token metrics. |
| 10 | Context length capability verified | ❌ BLOCKER | Context window not characterized. Need to document max context (e.g., 128k, 256k) and test with long prompts. |
Documentation
| # | Requirement | Status | Notes |
|---|---|---|---|
| 11 | README up-to-date with real numbers | ⚠️ PARTIAL | README.md exists for voice clone project but lacks API details, pricing, benchmarks. Needs major updates for model submission. |
| 12 | Model card complete | ❌ BLOCKER | No model card (model-card.yaml or README section). Must follow HF model card template: model description, intended use, limitations, training data, eval results. |
| 13 | Safety/ethics section filled | ❌ BLOCKER | No safety documentation. Must address misuse risks (voice cloning ethics), mitigations, content policy. |
| 14 | Pricing clear | ❌ BLOCKER | No pricing defined. OpenRouter pricing must be set (free tier? per token? subscription?). |
| 15 | Contact info valid | ❌ BLOCKER | Contact info not specified. Need maintainer email, support channel, SLA contact. |
Legal
| # | Requirement | Status | Notes |
|---|---|---|---|
| 16 | License (Apache 2.0) is clear | ⚠️ PARTIAL | LICENSE file exists (MIT for voice clone). Need Apache 2.0 for OpenRouter submission (or other permissive license). |
| 17 | Training data sources documented | ❌ BLOCKER | No documentation of training data. Must list datasets used, sources, licenses. Voice cloning uses Coqui models - need attribution. |
| 18 | No copyright infringement (code under permissive licenses) | ⚠️ NEEDS REVIEW | Code includes third-party dependencies. Need audit of all licenses (TypeScript deps in package.json, Python deps in requirements.txt). |
| 19 | Third-party attributions included | ❌ BLOCKER | No attributions file. Must include notices for Coqui TTS, HF Transformers, etc. |
Operational
| # | Requirement | Status | Notes |
|---|---|---|---|
| 20 | Support process defined | ❌ BLOCKER | No support plan. Need: how users report issues, response time SLA, escalation path. |
| 21 | SLA commitment realistic | ❌ BLOCKER | No SLA defined. Must commit to uptime (e.g., 99.9%), support response times, incident resolution. |
| 22 | Incident response plan | ❌ BLOCKER | No incident response process. Need runbooks for outages, rollback procedures, communication channels. |
| 23 | Monitoring dashboard (Grafana) ready | ❌ BLOCKER | No monitoring stack. Need metrics collection (Prometheus), dashboards (Grafana), alerts (PagerDuty/email). |
Blockers Summary
Critical Path Blockers (Must Fix Before Submission)
No Model Artifact: No
.gguf,.safetensors, or other model file prepared. Must train/fine-tune a model or use existing base (e.g., CodeLlama) and document modifications.No API Endpoint: OpenRouter requires an OpenAI-compatible API. Must build a REST server (FastAPI/Express) that wraps model inference.
Missing Benchmarks: HumanEval and MBPP scores are mandatory for OpenRouter listing. Must evaluate and publish numbers.
No Model Card: Required by OpenRouter for transparency. Must create detailed documentation.
No Pricing: Must decide free/paid tiers and set token prices.
No Monitoring: Production API requires observability stack.
No SLA/Support: Commitments required for reliability.
Go/No-Go Recommendation
NO-GO ❌
Reason
The project is not a model submission but a tooling codebase. To be eligible for OpenRouter:
- Extract a model from OpenClaw or fine-tune a base model (e.g., CodeLlama-7B) on your codebase to create "OpenClaw-7B"
- Package as inference API with OpenAI compatibility
- Complete all 23 checklist items (currently only 1-2 partial, rest are blockers)
- Estimated effort: 4-8 weeks minimum (benchmarking, API development, documentation, monitoring setup)
Suggested Path Forward
Phase 1: Model Preparation (2 weeks)
- Fine-tune CodeLlama or similar on OpenClaw codebase
- Export model to GGUF/Safetensors
- Upload to Hugging Face
- Run HumanEval/MBPP benchmarks
Phase 2: API Development (1-2 weeks)
- Build FastAPI server with
/v1/chat/completions - Implement rate limiting, error handling
- Test with OpenAI client libraries
- Deploy to cloud (Railway/Render/Cloud Run)
Phase 3: Documentation & Compliance (1 week)
- Write model card
- Define pricing (start free, then $X/1M tokens)
- Create README with examples
- Add safety/ethics section
Phase 4: Monitoring & Ops (1 week)
- Set up logging (Sentry)
- Add metrics (Prometheus + Grafana)
- Create incident response playbook
- Define support process (GitHub Issues, Discord)
Phase 5: Submission
- Submit to OpenRouter with all required fields
- Wait for review (typically 1-3 business days)
Conclusion
Do not submit yet. The project lacks a proper model artifact, API endpoint, benchmarks, and operational infrastructure. Focus on creating a standalone model from the OpenClaw codebase first, then build the submission package.
Checklist completed by: Subagent (Final Checklist Agent)
Next steps: Initiate Phase 1 (model fine-tuning) and Phase 2 (API wrapper) in parallel.