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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]>
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from praisonai import Agent, ManagedAgent, ManagedConfig
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# Environment management: list, retrieve, archive, delete
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managed = ManagedAgent(
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config=ManagedConfig(
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name="Env Management Agent",
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model="claude-haiku-4-5",
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system="You are a helpful assistant.",
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),
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)
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agent = Agent(name="env-mgmt", backend=managed)
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# First call creates agent + environment + session
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agent.start("Say hello briefly")
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if hasattr(managed, "_get_client"):
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# Access the underlying Anthropic client for environment management
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client = managed._get_client()
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env_id = managed.environment_id
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print(f"Environment ID: {env_id}")
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# List all environments
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environments = client.beta.environments.list()
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print(f"\nTotal environments: {len(environments.data)}")
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for env in environments.data[:5]:
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print(f" {env.id} | {env.name} | {getattr(env, 'status', 'active')}")
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# Retrieve a specific environment
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env = client.beta.environments.retrieve(env_id)
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print(f"\nRetrieved: {env.id} | {env.name}")
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# Archive (read-only, existing sessions continue)
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archived = client.beta.environments.archive(env_id)
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print(f"Archived: {archived.id} | status: {getattr(archived, 'status', 'archived')}")
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# Delete (only if no sessions reference it — may fail if sessions exist)
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try:
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client.beta.environments.delete(env_id)
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print(f"Deleted: {env_id}")
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except Exception as e:
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print(f"Delete skipped (expected if sessions exist): {e}")
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else:
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print("Environment management demo skipped: backend does not expose _get_client().")
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print("\nEnvironment management complete.")
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