Orchestrate your LLMs via Langbase for high-performance AI
Swiftask integrates with Langbase to drive your AI workflows. Switch between the best models based on your cost, speed, and accuracy requirements.
Result:
Gain technical agility. Deploy advanced multi-model strategies without changing your infrastructure.
AI Agents
langbase
Connector langbase · Secure OAuth 2.0
Relying on a single model limits your AI applications
Using one LLM for all your use cases is a costly mistake. Some models excel at creativity, others at logical reasoning or speed. Without orchestration, you suffer from unnecessary costs and suboptimal performance.
Main negative impacts:
Uncontrolled operational costs
Using a high-end model for simple tasks wastes significant financial resources.
Vendor lock-in risks
Being dependent on a single AI provider limits your ability to switch to better or cheaper models.
Lack of resilience
If a provider's API goes down, your AI application comes to a complete halt.
Swiftask, coupled with Langbase, lets you dynamically route your requests to the most suitable LLM. You optimize performance and costs in real time.
BEFORE / AFTER
What changes with Swiftask
Rigid architecture
Your application is hardcoded to use a single LLM. If that model becomes too slow or too expensive, you have to rewrite part of your code. You have no flexibility to test new models.
Swiftask + Langbase orchestration
Swiftask acts as an abstraction layer. Via Langbase, you define routing rules: simple tasks go to fast models, complex tasks to top-tier models. All without touching your source code.
Implementing your multi-LLM strategy in 4 steps
1
STEP 1 : Configure models in Langbase
Reference your various API keys and models within your Langbase workspace to centralize management.
2
STEP 2 : Connect Langbase to Swiftask
Use the dedicated connector in Swiftask to securely link your Langbase instance.
3
STEP 3 : Define routing rules
In Swiftask, create logical flows to select the appropriate Langbase model based on the request context.
4
STEP 4 : Deploy and test
Activate your agent. Swiftask orchestrates calls to models according to your defined rules.
Advanced orchestration features
Swiftask analyzes the prompt, expected token volume, and urgency to choose the optimal model via Langbase.
- Target connector: The agent performs the right actions in langbase based on event context.
- Automated actions: Intelligent cost-based routing, automatic failover to a secondary model, model A/B testing, centralized prompt management.
- Native governance: All executions are tracked in Swiftask for detailed analysis of consumption per model.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-langbase@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Strategic benefits of orchestration
Cost optimization
Drastically reduce your API bill by using lightweight models for simple tasks.
Technological agility
Test and adopt the latest models on the market instantly via Langbase without complex migration.
High availability
Ensure service continuity through automatic routing to alternative models in case of outages.
Quality control
Select the most performant model for each specific type of task.
Unified governance
Centralize the management of access and usage for all your AI models in a single dashboard.
Security and compliance
Swiftask applies enterprise-grade security standards for your langbase automations.
- Secure API key management: Your Langbase keys are encrypted and isolated, ensuring no unauthorized access can occur.
- Full audit trail: Every orchestrated call is logged with the model used, cost, and response time.
- Data compliance: You retain full control over data sent to different models via Swiftask policies.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your AI operations
| Metric | Before | After |
|---|---|---|
| Average request cost | Baseline (Single model) | -30% to -60% (Optimized) |
| Service availability | Provider dependent | High availability (Failover) |
| Time to integrate new LLM | Days/Weeks | Minutes |
Take action with langbase
Gain technical agility. Deploy advanced multi-model strategies without changing your infrastructure.