Make your function calls never fail
Function call auto-repair, JSON compression, and chunk-level stream monitoring. Boost LLM understanding while reducing token costs.
FREE to use until January 1, 2026 • No credit card required
{
"tool": "search",
"limit": "10"
}{
"tool": "search",
"limit": 10
}{
"tool": "get_weather",
"city": "Beijing"
}{
"tool": "get_weather",
"city": "Beijing",
"unit": "celsius"
}{
"tool": "filter_data",
"ids": "1,2,3"
}{
"tool": "filter_data",
"ids": [1, 2, 3]
}{
"tool": "toggle_feature",
"enabled": "true"
}{
"tool": "toggle_feature",
"enabled": true
}{
"tool": "update_config",
"settings": "{\"theme\": \"dark\"}"
}{
"tool": "update_config",
"settings": {
"theme": "dark"
}
}Automatically fix and complete function calls with intelligent error detection.
Intelligent JSON compression improves model understanding and reduces token consumption by up to 40%.
Monitor LLM responses at chunk level for complete visibility and debugging capabilities.
Intelligent LLM request routing for optimal performance, reliability and cost efficiency.
Integrates seamlessly with all existing OpenAI-based systems. Drop-in replacement for your current function calling infrastructure.
from openai import OpenAI
# Simply change the base URL
client = OpenAI(
base_url="https://bettercall.cn/v1",
api_key="your-bettercall-api-key"
)
# Everything else stays the same!
response = client.chat.completions.create(
model="gpt-4",
messages=[...],
tools=[...] # Auto-repair enabled
)Battle-tested reliability with automatic failover, comprehensive monitoring, and real-time error recovery for mission-critical AI systems.
We handle all the complexity of function calling so you can focus on building intelligent agent behaviors that delight your users.
Better Call provides everything you need to build reliable ReAct Agents. From automatic error recovery to deep observability and intelligent routing.
Automatically detect, repair and complete malformed function calls with intelligent error analysis.
Fine-grained control over specific parameters with validation, type checking, and automatic correction.
Deep observability into LLM responses at chunk level for debugging and performance analysis.
Intelligent request routing across multiple LLM providers for optimal performance and cost.
Comprehensive metrics and insights on function call success rates, latency, and error patterns.
Works seamlessly with OpenAI, Anthropic, Google, and other major LLM providers.
Automatic retry logic with exponential backoff and intelligent fallback strategies.
Rich debugging tools, SDK support, and comprehensive documentation for rapid development.
Production-grade reliability with SLA guarantees, dedicated support, and enterprise security features.