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* 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]>
31 lines
947 B
Python
31 lines
947 B
Python
"""
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Configurable Model Example - PraisonAI Agents
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Demonstrates runtime model switching without recreating the agent.
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"""
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from praisonaiagents import Agent
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# Create agent with configurable model enabled
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agent = Agent(
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name="FlexBot",
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instructions="You are a helpful assistant.",
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llm={"model": "gpt-4o-mini", "configurable": True},
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)
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if __name__ == "__main__":
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# Default model call
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print("Using default model (gpt-4o-mini)...")
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# response = agent.chat("Say hello in 5 words")
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# Override model per-call
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print("\nOverriding to different model...")
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# response = agent.chat("Say hello in 5 words", config={"model": "gpt-4o"})
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# Override temperature
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print("\nOverriding temperature...")
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# response = agent.chat("Say hello creatively", config={"temperature": 0.9})
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print("\n✓ Configurable model example complete")
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print("Note: Uncomment agent.chat() calls to run with API key")
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