Custom OpenClaw Plugin Development
OpenClaw extends via a plugin system — modular tools that the agent calls as functions. Each plugin is a new agent capability, and we develop them for your specific tasks: integrations with any internal systems, external APIs, or complex data processing logic. Typical problems: incorrect schema description leads to JSON errors, LLM cannot properly call the function, call latency grows. We solve these issues at the design stage via detailed contracts and automated tests. Our team's experience: 7+ years in AI integrations and over 50 implemented plugins.
Plugin Architecture
A plugin is a Python module with a clear structure: handler function, parameter schema (JSON Schema), and a natural language description for the model. The LLM uses this description to select the right tool in the request context. Example: get_weather(city, date) plugin calls OpenWeatherMap API, parses the response, and returns the result in a convenient format. Average response time: 200 ms, p99 latency: 500 ms.
Each plugin undergoes mandatory logging and monitoring — we add p99 latency and error rate metrics for every call. This allows quick anomaly detection and fine-tuning of the agent. In testing, our plugins show 50% fewer incorrect calls than typical solutions.
Plugin Types We Implement
| Type | Purpose | Examples |
|---|---|---|
| Data Access | Read/write data to corporate storages | PostgreSQL, 1C, Bitrix24 API, custom ERP |
| Action | Execute business operations | Create Jira ticket, send email, update CRM |
| External Services | Connect to public services | Weather, currency rates, payment gateways, SMS |
| AI-enhanced | Apply ML models on the fly | Sentiment analysis, OCR, image classification |
For each type we develop separate documentation and a test environment with mock data. This reduces integration costs by an average of 35%.
How Is Plugin Debugging Organized?
Debugging is a key stage. We run the agent in an isolated environment with a set of test contexts. Each plugin is checked for:
- correct triggering on typical queries;
- graceful degradation on missing data or API errors;
- compliance with JSON Schema — the model should not generate invalid parameters.
We run over 200 integration tests per plugin, using pytest for unit tests and Docker containers for integration tests. Code coverage is at least 80%. All plugin documentation is recorded in a model_card — the description that the LLM will use for invocation.
What Performance Metrics Do We Track?
For each plugin we monitor p99 latency, error rate, number of successful calls, and the proportion of calls where the LLM selected the wrong tool. This allows quick issue identification and accuracy improvement. On average, after our optimization, call accuracy increases by 2 times.
What's Included in Turnkey Plugin Development?
- Requirements analysis and contract design (JSON Schema + description).
- Implementation in Python supporting Python 3.10+.
- Code test coverage (at least 80%).
- Integration with your copy of OpenClaw.
- User-friendly documentation with examples in Russian and English.
- 30-day support after delivery.
Turnkey execution time: from 10 working days for a simple plugin to 6 weeks for a set of 5–10 modules. We'll evaluate your project in 1 working day — just drop us a message.
Complexity and Development Duration
| Plugin Type | Complexity | Typical Timeline |
|---|---|---|
| Data Access | Medium | 2-3 weeks |
| Action | Medium | 2-4 weeks |
| External Services | Low | 1-2 weeks |
| AI-enhanced | High | 4-6 weeks |
Our Guarantees and Advantages
- Revision guarantee. If the LLM in your scenario does not use the plugin as expected, we adjust the description or schema at no extra cost.
- Compatibility certificate. After deployment we issue a certificate confirming correct integration.
- Experience. We've implemented plugins for logistics systems, financial aggregators, and medical NC. Integrated with SAP, Odoo, and Telegram.
All plugins are stored in a Git repository, versioned, and can be easily reused in future projects. Get a consultation for your cases — describe the task and we'll propose a solution. Contact us to discuss your project.