{"id": "PPG_000000050", "technique": ["react", "tool_use"], "inputs": {"user_query": "Design a ReAct-style loop prompt that alternates tool actions and observations.", "evidence_ids": ["E_SELFCONS_2203.11171"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Design a ReAct-style loop prompt that alternates tool actions and observations.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "ReAct interleaves reasoning traces with task-specific actions so the model can query external sources and reduce hallucinations. [E_REACT_2210.03629] Use Thought/Action/Observation loops, then finalize with citations to observations. [E_REACT_2210.03629]", "validators": {"schema_valid": true, "citation_coverage": 0.9, "tool_call_valid": true, "hallucination_flags": []}, "label": "success", "failure": null, "repair": null, "meta_optimization": {"what_failed": null, "what_to_change_next_time": ["Keep current packet; monitor validators; add more failure exemplars for robustness."], "prompt_delta": {"note": "no change"}}}
{"id": "PPG_000000051", "technique": ["prompt_packet", "schema", "repair"], "inputs": {"user_query": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.", "evidence_ids": ["E_GUARDRAILS_REASK", "E_LANGGRAPH_MEMORY"], "constraints": {"must_cite": false, "abstain_if_insufficient": true, "output_schema": {"type": "object", "properties": {"answer": {"type": "string"}, "citations": {"type": "array", "items": {"type": "string"}}}, "required": ["answer", "citations"]}}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever", "json_validator"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.\nOutput must be valid JSON matching output_schema. Output ONLY JSON."}, "model_output_raw": "Here is the JSON: {\"answer\": \"ok\", \"citations\": [\"E_GUARDRAILS_SCHEMA\"]} Thanks!", "validators": {"schema_valid": false, "citation_coverage": 1.0, "tool_call_valid": true, "hallucination_flags": []}, "label": "failure", "failure": {"failure_type": "schema_violation", "validator_trace": "Validator failed: output did not match schema and/or lacked required citation tokens [E_...]."}, "repair": {"repair_prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE. REPAIR MODE.", "task": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.\nOutput must be valid JSON matching output_schema. Output ONLY JSON.\nYou must fix ONLY the specific failures noted in validator_trace.", "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}]}, "repaired_output": "{\"answer\": \"Return strict JSON and run schema verification; on failure, reask with validator trace. [E_GUARDRAILS_SCHEMA]\", \"citations\": [\"E_GUARDRAILS_SCHEMA\"]}"}, "meta_optimization": {"what_failed": "schema_violation", "what_to_change_next_time": ["Add 'ONLY JSON' hard constraint and error-JSON fallback."], "prompt_delta": {"add_constraint": "Output ONLY JSON, no prose; if impossible output {\"error\":...}."}}}
{"id": "PPG_000000052", "technique": ["react", "tool_use"], "inputs": {"user_query": "Design a ReAct-style loop prompt that alternates tool actions and observations.", "evidence_ids": ["E_SELFREFINE_2303.17651"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Design a ReAct-style loop prompt that alternates tool actions and observations.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "ReAct interleaves reasoning traces with task-specific actions so the model can query external sources and reduce hallucinations. [E_REACT_2210.03629] Use Thought/Action/Observation loops, then finalize with citations to observations. [E_REACT_2210.03629]", "validators": {"schema_valid": true, "citation_coverage": 0.9, "tool_call_valid": true, "hallucination_flags": []}, "label": "success", "failure": null, "repair": null, "meta_optimization": {"what_failed": null, "what_to_change_next_time": ["Keep current packet; monitor validators; add more failure exemplars for robustness."], "prompt_delta": {"note": "no change"}}}
{"id": "PPG_000000053", "technique": ["prompt_packet", "schema", "repair"], "inputs": {"user_query": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.", "evidence_ids": ["E_COT_2201.11903", "E_DSPY_2310.03714"], "constraints": {"must_cite": false, "abstain_if_insufficient": true, "output_schema": {"type": "object", "properties": {"answer": {"type": "string"}, "citations": {"type": "array", "items": {"type": "string"}}}, "required": ["answer", "citations"]}}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever", "json_validator"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.\nOutput must be valid JSON matching output_schema. Output ONLY JSON."}, "model_output_raw": "Here is the JSON: {\"answer\": \"ok\", \"citations\": [\"E_GUARDRAILS_SCHEMA\"]} Thanks!", "validators": {"schema_valid": false, "citation_coverage": 1.0, "tool_call_valid": true, "hallucination_flags": []}, "label": "failure", "failure": {"failure_type": "schema_violation", "validator_trace": "Validator failed: output did not match schema and/or lacked required citation tokens [E_...]."}, "repair": {"repair_prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE. REPAIR MODE.", "task": "Build a prompt packet that produces schema-valid JSON outputs and supports repair-on-failure.\nOutput must be valid JSON matching output_schema. Output ONLY JSON.\nYou must fix ONLY the specific failures noted in validator_trace.", "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}]}, "repaired_output": "{\"answer\": \"Return strict JSON and run schema verification; on failure, reask with validator trace. [E_GUARDRAILS_SCHEMA]\", \"citations\": [\"E_GUARDRAILS_SCHEMA\"]}"}, "meta_optimization": {"what_failed": "schema_violation", "what_to_change_next_time": ["Add 'ONLY JSON' hard constraint and error-JSON fallback."], "prompt_delta": {"add_constraint": "Output ONLY JSON, no prose; if impossible output {\"error\":...}."}}}
{"id": "PPG_000000054", "technique": ["rag", "grounding"], "inputs": {"user_query": "Define RAG in one paragraph and specify a provenance rule.", "evidence_ids": ["E_LANGGRAPH_MEMORY", "E_REFLEXION_2303.11366"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Define RAG in one paragraph and specify a provenance rule.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "RAG combines parametric memory with non-parametric memory (retrieved passages) and can provide provenance via cited passages. [E_RAG_2005.11401]", "validators": {"schema_valid": true, "citation_coverage": 0.9, "tool_call_valid": true, "hallucination_flags": []}, "label": "success", "failure": null, "repair": null, "meta_optimization": {"what_failed": null, "what_to_change_next_time": ["Keep current packet; monitor validators; add more failure exemplars for robustness."], "prompt_delta": {"note": "no change"}}}
{"id": "PPG_000000055", "technique": ["rag", "grounding"], "inputs": {"user_query": "Define RAG in one paragraph and specify a provenance rule.", "evidence_ids": ["E_COT_2201.11903", "E_REFLEXION_2303.11366"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Define RAG in one paragraph and specify a provenance rule.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "This seems right. (no citations)", "validators": {"schema_valid": true, "citation_coverage": 0.0, "tool_call_valid": true, "hallucination_flags": ["missing_citations"]}, "label": "failure", "failure": {"failure_type": "missing_citations", "validator_trace": "Validator failed: output did not match schema and/or lacked required citation tokens [E_...]."}, "repair": {"repair_prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE. REPAIR MODE.", "task": "Define RAG in one paragraph and specify a provenance rule.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim.\nYou must fix ONLY the specific failures noted in validator_trace.", "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}]}, "repaired_output": "RAG combines parametric memory with non-parametric memory (retrieved passages) and can provide provenance via cited passages. [E_RAG_2005.11401]"}, "meta_optimization": {"what_failed": "missing_citations", "what_to_change_next_time": ["Add per-sentence citation requirement and run citation coverage validator."], "prompt_delta": {"add_constraint_2": "Every sentence must contain at least one [E_...] citation."}}}
{"id": "PPG_000000056", "technique": ["memory", "orchestration"], "inputs": {"user_query": "Describe how to store short-term memory in a stateful workflow.", "evidence_ids": ["E_GUARDRAILS_SCHEMA", "E_LANGGRAPH_MEMORY"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Describe how to store short-term memory in a stateful workflow.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "In LangGraph, short-term memory is maintained as part of the agent state and persisted via a checkpointer for resuming threads. [E_LANGGRAPH_MEMORY]", "validators": {"schema_valid": true, "citation_coverage": 0.9, "tool_call_valid": true, "hallucination_flags": []}, "label": "success", "failure": null, "repair": null, "meta_optimization": {"what_failed": null, "what_to_change_next_time": ["Keep current packet; monitor validators; add more failure exemplars for robustness."], "prompt_delta": {"note": "no change"}}}
{"id": "PPG_000000057", "technique": ["memory", "orchestration"], "inputs": {"user_query": "Describe how to store short-term memory in a stateful workflow.", "evidence_ids": ["E_GUARDRAILS_REASK", "E_REACT_2210.03629"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Describe how to store short-term memory in a stateful workflow.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "This seems right. (no citations)", "validators": {"schema_valid": true, "citation_coverage": 0.0, "tool_call_valid": true, "hallucination_flags": ["missing_citations"]}, "label": "failure", "failure": {"failure_type": "missing_citations", "validator_trace": "Validator failed: output did not match schema and/or lacked required citation tokens [E_...]."}, "repair": {"repair_prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE. REPAIR MODE.", "task": "Describe how to store short-term memory in a stateful workflow.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim.\nYou must fix ONLY the specific failures noted in validator_trace.", "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}]}, "repaired_output": "In LangGraph, short-term memory is maintained as part of the agent state and persisted via a checkpointer for resuming threads. [E_LANGGRAPH_MEMORY]"}, "meta_optimization": {"what_failed": "missing_citations", "what_to_change_next_time": ["Add per-sentence citation requirement and run citation coverage validator."], "prompt_delta": {"add_constraint_2": "Every sentence must contain at least one [E_...] citation."}}}
{"id": "PPG_000000058", "technique": ["memory", "orchestration"], "inputs": {"user_query": "Describe how to store short-term memory in a stateful workflow.", "evidence_ids": ["E_DSPY_2310.03714", "E_GUARDRAILS_SCHEMA"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Describe how to store short-term memory in a stateful workflow.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "In LangGraph, short-term memory is maintained as part of the agent state and persisted via a checkpointer for resuming threads. [E_LANGGRAPH_MEMORY]", "validators": {"schema_valid": true, "citation_coverage": 0.9, "tool_call_valid": true, "hallucination_flags": []}, "label": "success", "failure": null, "repair": null, "meta_optimization": {"what_failed": null, "what_to_change_next_time": ["Keep current packet; monitor validators; add more failure exemplars for robustness."], "prompt_delta": {"note": "no change"}}}
{"id": "PPG_000000059", "technique": ["self_consistency"], "inputs": {"user_query": "Explain self-consistency vs greedy decoding in one paragraph, with citations.", "evidence_ids": ["E_DSPY_2310.03714"], "constraints": {"must_cite": true, "abstain_if_insufficient": true, "output_schema": null}}, "prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE.", "developer": "You are an orchestration layer. Prioritize validation and repair loops.", "tools": ["retriever"], "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}], "task": "Explain self-consistency vs greedy decoding in one paragraph, with citations.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim."}, "model_output_raw": "This seems right. (no citations)", "validators": {"schema_valid": true, "citation_coverage": 0.0, "tool_call_valid": true, "hallucination_flags": ["missing_citations"]}, "label": "failure", "failure": {"failure_type": "missing_citations", "validator_trace": "Validator failed: output did not match schema and/or lacked required citation tokens [E_...]."}, "repair": {"repair_prompt_packet": {"system": "You are Prompt-Orchestration Backend. Follow constraints exactly. If evidence is insufficient and abstain_if_insufficient=true, output INSUFFICIENT_EVIDENCE. REPAIR MODE.", "task": "Explain self-consistency vs greedy decoding in one paragraph, with citations.\nRules: Use citations like [E_...] for each sentence with a factual/technique claim.\nYou must fix ONLY the specific failures noted in validator_trace.", "few_shots": [{"in": "Explain why validation loops help reliability.", "out": "Validation catches schema violations early and triggers reasks. [E_GUARDRAILS_SCHEMA]"}]}, "repaired_output": "Self-consistency samples diverse reasoning paths and selects the most consistent answer rather than greedy decoding. [E_SELFCONS_2203.11171]"}, "meta_optimization": {"what_failed": "missing_citations", "what_to_change_next_time": ["Add per-sentence citation requirement and run citation coverage validator."], "prompt_delta": {"add_constraint_2": "Every sentence must contain at least one [E_...] citation."}}}