Building Multi-Agent Systems with Vincony's API
Orchestrate multiple AI agents that collaborate, delegate tasks, and solve complex problems — all through a single API.
Why Multi-Agent?
Single AI models hit limits on complex tasks. Multi-agent systems break problems into subtasks, assign specialized agents, and combine results — achieving better outcomes than any single model.
Creating an Agent Team
import vincony
client = vincony.Client(api_key="YOUR_API_KEY")
team = client.agents.create_team(
name="code_review_team",
agents=[
{
"role": "security_reviewer",
"model": "claude-opus",
"system_prompt": "You are a security expert. Find vulnerabilities.",
"focus": ["sql_injection", "xss", "auth_bypass"]
},
{
"role": "performance_reviewer",
"model": "gpt-5",
"system_prompt": "You are a performance expert. Find bottlenecks.",
"focus": ["n+1_queries", "memory_leaks", "slow_algorithms"]
},
{
"role": "style_reviewer",
"model": "codestral",
"system_prompt": "You enforce code style and best practices.",
"focus": ["naming", "structure", "documentation"]
}
],
coordinator="claude-opus",
merge_strategy="consensus"
)
review = team.run(task=pull_request_diff)
print(f"Issues found: {review.total_issues}")
for agent_result in review.agent_results:
print(f"\n[{agent_result.role}] {len(agent_result.issues)} issues")Agent Communication
Agents can share context, ask follow-up questions to each other, and build on previous findings. The coordinator agent synthesizes all results into a unified report.
Scaling Agent Teams
Add or remove agents dynamically based on task complexity. Simple tasks might need 2 agents; complex research projects might use 10+ specialized agents.
# Dynamic agent scaling
result = client.agents.auto_team(
task="Research and write a comprehensive report on quantum computing trends",
budget="balanced",
max_agents=8,
timeout_minutes=10
)
print(f"Agents used: {result.agents_used}")
print(f"Total cost: {result.total_cost}")
print(result.final_output)Pricing
Each agent uses standard API credits for its model. Team orchestration adds 10% overhead. Free tier supports up to 3 agents per team.
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