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cfd7d7c8a9
* 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]>
63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
"""
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Example 3: Save Agent Output Using Workflow output_file
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Workflow step output is automatically saved with variable substitution.
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"""
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from praisonaiagents import Agent, AgentFlow, Task
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# Define workflow with output_file
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workflow_config = {
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"metadata": {
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"name": "content-generator",
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"version": "1.0"
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},
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"variables": {
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"output_dir": "generated",
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"topic": "Python programming"
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},
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"agents": {
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"writer": {
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"role": "Content Writer",
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"goal": "Create engaging content",
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"llm": "gpt-4o-mini"
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}
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},
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"steps": [
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{
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"agent": "writer",
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"action": "Write a short tutorial about Python basics",
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"expected_output": "A beginner-friendly tutorial",
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"output_file": "{{output_dir}}/tutorial.md"
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}
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]
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}
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# Build agent and workflow from config dict
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writer_cfg = workflow_config["agents"]["writer"]
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writer = Agent(
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name="writer",
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role=writer_cfg["role"],
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goal=writer_cfg["goal"],
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llm=writer_cfg["llm"],
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)
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step_cfg = workflow_config["steps"][0]
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workflow = AgentFlow(
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name=workflow_config["metadata"]["name"],
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variables=workflow_config["variables"],
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steps=[
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Task(
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name="write_tutorial",
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description=step_cfg["action"],
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expected_output=step_cfg["expected_output"],
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output_file=step_cfg["output_file"],
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agent=writer,
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)
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],
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)
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result = workflow.start()
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print("✅ Workflow completed!")
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print("Output saved to: generated/tutorial.md")
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