Zubbl SDK¶
Make any AI agent 20-50% smarter automatically.
Drop-in SDK that adds trajectory learning, failure recovery, and continuous improvement to any agent framework. No infrastructure to manage.
Quick Start¶
from zubbl import ZubblClient
zubbl = ZubblClient(api_key="zubbl_xxx")
smart_agent = zubbl.wrap(your_agent)
result = smart_agent.run("Complete this task")
That's it. Your agent now learns from every execution, recovers from failures, and improves over time.
How It Works¶
graph LR
A[Your Agent] --> B[Zubbl SDK]
B --> C[Execute Task]
C --> D{Success?}
D -->|Yes| E[Learn Pattern]
D -->|No| F[Reflect + Retry]
F --> C
E --> G[Improve Policies]
G --> A
- Record — SDK captures every step your agent takes
- Learn — Patterns are extracted and scored automatically
- Improve — Next run gets better recommendations
- Recover — Failed tasks are retried with learned insights
Core Features¶
| Feature | What It Does |
|---|---|
| Trajectory Recording | Auto-captures steps, tools, tokens, latency |
| Policy Recommendations | Get optimized strategies before each task |
| Failure Recovery | ~33% of failures auto-recovered on first retry |
| Improvement Tracking | Measure exactly how much your agents improved |
Cloud Features (Pro plans)¶
| Feature | What It Does |
|---|---|
| Skill Graph | Map skill dependencies and find gaps |
| Vector Search | Find similar past trajectories semantically |
| Training | Continuous policy optimization |
| Real-time Streams | Live monitoring of agent activity |
Plans¶
| Plan | Price | Credits/mo | Features |
|---|---|---|---|
| Free | $0 | 10,000 | Core SDK, trajectory learning, recovery |
| Local Pro | $29/mo | 100,000 | + APO prompt optimization, guardrails |
| Cloud Pro | $99/mo | 500,000 | + Skill graph, vector search, training |
| Team | $299/mo | 2,000,000 | + Multi-tenant, SSO, dedicated support |