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PraisonAI/examples/python/failover_example.py
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cfd7d7c8a9 fix(examples): merge validation fixes phases 2-4 into main (stacked on #1855) (#1893)
* fix(examples): resolve syntax errors and align with consolidated-params API

* fix: correct TypeError in 3 example files by using proper parameter names

- Fix MemoryConfig(memory=...) → user_id=... in agent_centric_api.py
- Fix Session(memory=...) → user_id=... in session-example.py
- Fix build_context_for_task(memory=...) → user_id=... in memory-quality-example.py

Co-authored-by: Mervin Praison <[email protected]>

* fix(examples): align AgentTeam memory and knowledge configs with v4.6.52 API

* fix(examples): phase-3 API alignment for consolidated params on v4.6.52

* fix(examples): phase-4 API alignment for 40 validation failures on v4.6.52

* fix: resolve critical RouterAgent **kwargs bug and add missing if __name__ guards

- Fixed TypeError in RouterAgent._build_system_prompt() by removing **kwargs from super() call
- Added if __name__ == '__main__' guards to 6 example files to prevent auto-execution on import
- Addresses Gemini Code Assist review feedback

Co-authored-by: Mervin Praison <[email protected]>

* fix: resolve missing AgentTeam import and RouterAgent kwargs forwarding

- Fix missing AgentTeam import in self-reflection-optimization-patterns.py
- Forward kwargs properly in RouterAgent._build_system_prompt to super()
- Addresses critical issues identified by Gemini code reviewer

Co-authored-by: Mervin Praison <[email protected]>

* fix(examples): remove merge-conflict residue for PR #1893

---------

Co-authored-by: Dhivya-Bharathy <[email protected]>
Co-authored-by: praisonai-triage-agent[bot] <272766704+praisonai-triage-agent[bot]@users.noreply.github.com>
Co-authored-by: Mervin Praison <[email protected]>
Co-authored-by: Mervin Praison <[email protected]>
2026-06-23 00:03:04 +01:00

171 lines
4.9 KiB
Python

"""
Model Failover Example - Automatic Provider Switching
This example demonstrates how to configure model failover
for reliability and cost optimization.
"""
import os
from praisonaiagents import (
AuthProfile,
FailoverConfig,
FailoverManager,
)
# Create auth profiles for different providers
openai_profile = AuthProfile(
name="openai-primary",
provider="openai",
api_key=os.environ.get("OPENAI_API_KEY", "sk-..."),
priority=1, # Highest priority
rate_limit_rpm=100,
)
anthropic_profile = AuthProfile(
name="anthropic-backup",
provider="anthropic",
api_key=os.environ.get("ANTHROPIC_API_KEY", "sk-ant-..."),
priority=2, # Second priority
rate_limit_rpm=50,
)
groq_profile = AuthProfile(
name="groq-fallback",
provider="groq",
api_key=os.environ.get("GROQ_API_KEY", "gsk-..."),
priority=3, # Third priority (fast but limited)
rate_limit_rpm=30,
)
# Configure failover behavior
failover_config = FailoverConfig(
max_retries=3,
retry_delay=1.0,
exponential_backoff=True,
max_retry_delay=60.0,
failover_on_rate_limit=True,
failover_on_timeout=True,
failover_on_error=True,
)
# Create failover manager
manager = FailoverManager(failover_config)
manager.add_profile(openai_profile)
manager.add_profile(anthropic_profile)
manager.add_profile(groq_profile)
def demonstrate_failover():
"""Demonstrate failover functionality."""
print("Failover Manager Status:")
print()
# Get current status
status = manager.status()
for name, info in status.items():
print(f" {name}:")
print(f" Status: {info.get('status', 'unknown')}")
print(f" Priority: {info.get('priority', 'N/A')}")
print(f" Failures: {info.get('failure_count', 0)}")
print()
# Get next available profile
next_profile = manager.get_next_profile()
if next_profile:
print(f"Next profile to use: {next_profile.name}")
print(f" Provider: {next_profile.provider}")
print(f" Priority: {next_profile.priority}")
print()
# Simulate marking a failure
print("Simulating failure on primary provider...")
manager.mark_failure("openai-primary", "Rate limit exceeded")
# Get next profile after failure
next_profile = manager.get_next_profile()
if next_profile:
print(f"After failure, next profile: {next_profile.name}")
print()
# Get retry delay
delay = manager.get_retry_delay("openai-primary")
print(f"Retry delay for openai-primary: {delay}s")
print()
# Reset all providers
print("Resetting all providers...")
manager.reset_all()
next_profile = manager.get_next_profile()
if next_profile:
print(f"After reset, next profile: {next_profile.name}")
def cost_optimization_example():
"""Example of cost-optimized failover."""
print("\nCost Optimization Example:")
print("-" * 40)
# Create cost-optimized manager
cost_manager = FailoverManager()
# Cheaper model first
cost_manager.add_profile(AuthProfile(
name="gpt-4o-mini",
provider="openai",
api_key=os.environ.get("OPENAI_API_KEY", ""),
priority=1,
metadata={"model": "gpt-4o-mini", "cost_per_1k": 0.00015}
))
# Premium model as fallback
cost_manager.add_profile(AuthProfile(
name="gpt-4o",
provider="openai",
api_key=os.environ.get("OPENAI_API_KEY", ""),
priority=2,
metadata={"model": "gpt-4o", "cost_per_1k": 0.005}
))
# Most expensive as last resort
cost_manager.add_profile(AuthProfile(
name="claude-opus",
provider="anthropic",
api_key=os.environ.get("ANTHROPIC_API_KEY", ""),
priority=3,
metadata={"model": "claude-3-opus", "cost_per_1k": 0.015}
))
print("Cost-optimized failover chain:")
for profile in [
cost_manager.get_profile("gpt-4o-mini"),
cost_manager.get_profile("gpt-4o"),
cost_manager.get_profile("claude-opus"),
]:
if profile:
cost = profile.metadata.get("cost_per_1k", "N/A")
print(f" {profile.priority}. {profile.name} (${cost}/1K tokens)")
if __name__ == "__main__":
print("Model Failover Configuration")
print("=" * 40)
print()
print("Failover Config:")
print(f" Max retries: {failover_config.max_retries}")
print(f" Initial delay: {failover_config.retry_delay}s")
print(f" Exponential backoff: {failover_config.exponential_backoff}")
print(f" Max delay: {failover_config.max_retry_delay}s")
print()
print("Auth Profiles:")
for profile in [openai_profile, anthropic_profile, groq_profile]:
print(f" {profile.name}:")
print(f" Provider: {profile.provider}")
print(f" Priority: {profile.priority}")
print(f" Rate limit: {profile.rate_limit} req/min")
print()
demonstrate_failover()
cost_optimization_example()