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Add provenance recording to React agent loop
Enables agent sessions to be traced and debugged using the same explainability infrastructure as GraphRAG. Agent traces record: - Session start with query and timestamp - Each iteration's thought, action, arguments, and observation - Final answer with derivation chain Changes: - Add session_id and collection fields to AgentRequest schema - Add agent predicates (TG_THOUGHT, TG_ACTION, etc.) to namespaces - Create agent provenance triple generators in provenance/agent.py - Register explainability producer in agent service - Emit provenance triples during agent execution - Update CLI tools to detect and render agent traces alongside GraphRAG
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9 changed files with 552 additions and 21 deletions
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@ -13,7 +13,9 @@ class AgentRequestTranslator(MessageTranslator):
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group=data.get("group", None),
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history=data.get("history", []),
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user=data.get("user", "trustgraph"),
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streaming=data.get("streaming", False)
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collection=data.get("collection", "default"),
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streaming=data.get("streaming", False),
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session_id=data.get("session_id", ""),
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)
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def from_pulsar(self, obj: AgentRequest) -> Dict[str, Any]:
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@ -23,7 +25,9 @@ class AgentRequestTranslator(MessageTranslator):
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"group": obj.group,
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"history": obj.history,
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"user": obj.user,
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"streaming": getattr(obj, "streaming", False)
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"collection": getattr(obj, "collection", "default"),
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"streaming": getattr(obj, "streaming", False),
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"session_id": getattr(obj, "session_id", ""),
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}
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@ -45,6 +45,10 @@ from . uris import (
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exploration_uri,
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focus_uri,
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synthesis_uri,
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# Agent provenance URIs
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agent_session_uri,
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agent_iteration_uri,
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agent_final_uri,
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)
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# Namespace constants
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@ -65,6 +69,9 @@ from . namespaces import (
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TG_SOURCE_TEXT, TG_SOURCE_CHAR_OFFSET, TG_SOURCE_CHAR_LENGTH,
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# Query-time provenance predicates
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TG_QUERY, TG_EDGE_COUNT, TG_SELECTED_EDGE, TG_REASONING, TG_CONTENT,
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# Agent provenance predicates
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TG_THOUGHT, TG_ACTION, TG_ARGUMENTS, TG_OBSERVATION, TG_ANSWER,
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TG_AGENT_SESSION, TG_AGENT_ITERATION, TG_AGENT_FINAL,
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# Named graphs
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GRAPH_DEFAULT, GRAPH_SOURCE, GRAPH_RETRIEVAL,
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)
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@ -83,6 +90,13 @@ from . triples import (
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set_graph,
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)
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# Agent provenance triple builders
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from . agent import (
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agent_session_triples,
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agent_iteration_triples,
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agent_final_triples,
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)
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# Vocabulary bootstrap
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from . vocabulary import (
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get_vocabulary_triples,
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@ -107,6 +121,10 @@ __all__ = [
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"exploration_uri",
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"focus_uri",
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"synthesis_uri",
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# Agent provenance URIs
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"agent_session_uri",
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"agent_iteration_uri",
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"agent_final_uri",
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# Namespaces
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"PROV", "PROV_ENTITY", "PROV_ACTIVITY", "PROV_AGENT",
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"PROV_WAS_DERIVED_FROM", "PROV_WAS_GENERATED_BY",
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@ -120,6 +138,9 @@ __all__ = [
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"TG_SOURCE_TEXT", "TG_SOURCE_CHAR_OFFSET", "TG_SOURCE_CHAR_LENGTH",
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# Query-time provenance predicates
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"TG_QUERY", "TG_EDGE_COUNT", "TG_SELECTED_EDGE", "TG_REASONING", "TG_CONTENT",
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# Agent provenance predicates
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"TG_THOUGHT", "TG_ACTION", "TG_ARGUMENTS", "TG_OBSERVATION", "TG_ANSWER",
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"TG_AGENT_SESSION", "TG_AGENT_ITERATION", "TG_AGENT_FINAL",
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# Named graphs
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"GRAPH_DEFAULT", "GRAPH_SOURCE", "GRAPH_RETRIEVAL",
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# Triple builders
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@ -131,6 +152,10 @@ __all__ = [
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"exploration_triples",
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"focus_triples",
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"synthesis_triples",
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# Agent provenance triple builders
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"agent_session_triples",
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"agent_iteration_triples",
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"agent_final_triples",
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# Utility
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"set_graph",
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# Vocabulary
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136
trustgraph-base/trustgraph/provenance/agent.py
Normal file
136
trustgraph-base/trustgraph/provenance/agent.py
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@ -0,0 +1,136 @@
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"""
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Helper functions to build PROV-O triples for agent provenance.
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Agent provenance tracks the reasoning trace of ReAct agent sessions:
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- AgentSession: The root entity with query and timestamp
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- AgentIteration: Each think/act/observe cycle
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- AgentFinal: The final answer
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"""
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import json
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from datetime import datetime
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from typing import List, Optional, Dict, Any
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from .. schema import Triple, Term, IRI, LITERAL
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from . namespaces import (
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RDF_TYPE, RDFS_LABEL,
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PROV_ENTITY, PROV_WAS_DERIVED_FROM, PROV_STARTED_AT_TIME,
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TG_QUERY, TG_THOUGHT, TG_ACTION, TG_ARGUMENTS, TG_OBSERVATION, TG_ANSWER,
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TG_AGENT_SESSION, TG_AGENT_ITERATION, TG_AGENT_FINAL,
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)
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def _iri(uri: str) -> Term:
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"""Create an IRI term."""
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return Term(type=IRI, iri=uri)
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def _literal(value) -> Term:
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"""Create a literal term."""
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return Term(type=LITERAL, value=str(value))
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def _triple(s: str, p: str, o_term: Term) -> Triple:
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"""Create a triple with IRI subject and predicate."""
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return Triple(s=_iri(s), p=_iri(p), o=o_term)
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def agent_session_triples(
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session_uri: str,
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query: str,
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timestamp: Optional[str] = None,
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) -> List[Triple]:
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"""
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Build triples for an agent session start.
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Creates:
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- Entity declaration for the session
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- Query text and timestamp
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Args:
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session_uri: URI of the session (from agent_session_uri)
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query: The user's query text
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timestamp: ISO timestamp (defaults to now)
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Returns:
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List of Triple objects
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"""
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if timestamp is None:
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timestamp = datetime.utcnow().isoformat() + "Z"
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return [
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_triple(session_uri, RDF_TYPE, _iri(TG_AGENT_SESSION)),
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_triple(session_uri, RDFS_LABEL, _literal("Agent Session")),
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_triple(session_uri, PROV_STARTED_AT_TIME, _literal(timestamp)),
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_triple(session_uri, TG_QUERY, _literal(query)),
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]
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def agent_iteration_triples(
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iteration_uri: str,
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parent_uri: str,
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thought: str,
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action: str,
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arguments: Dict[str, Any],
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observation: str,
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) -> List[Triple]:
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"""
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Build triples for one agent iteration (think/act/observe cycle).
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Creates:
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- Entity declaration for the iteration
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- wasDerivedFrom link to parent (previous iteration or session)
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- Thought, action, arguments, and observation data
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Args:
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iteration_uri: URI of this iteration (from agent_iteration_uri)
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parent_uri: URI of the parent (previous iteration or session)
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thought: The agent's reasoning/thought
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action: The tool/action name
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arguments: Arguments passed to the tool (will be JSON-encoded)
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observation: The result/observation from the tool
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Returns:
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List of Triple objects
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"""
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triples = [
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_triple(iteration_uri, RDF_TYPE, _iri(TG_AGENT_ITERATION)),
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_triple(iteration_uri, RDFS_LABEL, _literal(f"Iteration: {action}")),
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_triple(iteration_uri, PROV_WAS_DERIVED_FROM, _iri(parent_uri)),
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_triple(iteration_uri, TG_THOUGHT, _literal(thought)),
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_triple(iteration_uri, TG_ACTION, _literal(action)),
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_triple(iteration_uri, TG_ARGUMENTS, _literal(json.dumps(arguments))),
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_triple(iteration_uri, TG_OBSERVATION, _literal(observation)),
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]
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return triples
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def agent_final_triples(
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final_uri: str,
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parent_uri: str,
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answer: str,
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) -> List[Triple]:
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"""
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Build triples for an agent final answer.
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Creates:
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- Entity declaration for the final answer
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- wasDerivedFrom link to parent (last iteration or session)
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- The answer text
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Args:
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final_uri: URI of the final answer (from agent_final_uri)
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parent_uri: URI of the parent (last iteration or session if no iterations)
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answer: The final answer text
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Returns:
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List of Triple objects
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"""
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return [
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_triple(final_uri, RDF_TYPE, _iri(TG_AGENT_FINAL)),
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_triple(final_uri, RDFS_LABEL, _literal("Final Answer")),
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_triple(final_uri, PROV_WAS_DERIVED_FROM, _iri(parent_uri)),
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_triple(final_uri, TG_ANSWER, _literal(answer)),
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]
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@ -68,6 +68,16 @@ TG_REASONING = TG + "reasoning"
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TG_CONTENT = TG + "content"
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TG_DOCUMENT = TG + "document" # Reference to document in librarian
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# Agent provenance predicates
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TG_THOUGHT = TG + "thought"
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TG_ACTION = TG + "action"
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TG_ARGUMENTS = TG + "arguments"
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TG_OBSERVATION = TG + "observation"
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TG_ANSWER = TG + "answer"
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TG_AGENT_SESSION = TG + "AgentSession"
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TG_AGENT_ITERATION = TG + "AgentIteration"
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TG_AGENT_FINAL = TG + "AgentFinal"
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# Named graph URIs for RDF datasets
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# These separate different types of data while keeping them in the same collection
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GRAPH_DEFAULT = "" # Core knowledge facts (triples extracted from documents)
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@ -138,3 +138,49 @@ def edge_selection_uri(session_id: str, edge_index: int) -> str:
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URN in format: urn:trustgraph:prov:edge:{uuid}:{index}
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"""
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return f"urn:trustgraph:prov:edge:{session_id}:{edge_index}"
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# Agent provenance URIs
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# These URIs use the urn:trustgraph:agent: namespace to distinguish agent
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# provenance from GraphRAG question provenance
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def agent_session_uri(session_id: str = None) -> str:
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"""
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Generate URI for an agent session.
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Args:
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session_id: Optional UUID string. Auto-generates if not provided.
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Returns:
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URN in format: urn:trustgraph:agent:{uuid}
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"""
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if session_id is None:
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session_id = str(uuid.uuid4())
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return f"urn:trustgraph:agent:{session_id}"
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def agent_iteration_uri(session_id: str, iteration_num: int) -> str:
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"""
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Generate URI for an agent iteration.
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Args:
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session_id: The session UUID.
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iteration_num: 1-based iteration number.
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Returns:
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URN in format: urn:trustgraph:agent:{uuid}/i{num}
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"""
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return f"urn:trustgraph:agent:{session_id}/i{iteration_num}"
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def agent_final_uri(session_id: str) -> str:
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"""
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Generate URI for an agent final answer.
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Args:
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session_id: The session UUID.
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Returns:
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URN in format: urn:trustgraph:agent:{uuid}/final
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"""
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return f"urn:trustgraph:agent:{session_id}/final"
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@ -23,7 +23,9 @@ class AgentRequest:
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group: list[str] | None = None
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history: list[AgentStep] = field(default_factory=list)
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user: str = "" # User context for multi-tenancy
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streaming: bool = False # NEW: Enable streaming response delivery (default false)
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collection: str = "default" # Collection for provenance traces
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streaming: bool = False # Enable streaming response delivery (default false)
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session_id: str = "" # For provenance tracking across iterations
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@dataclass
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class AgentResponse:
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