* Added tech spec
* 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
* Updated explainability taxonomy:
GraphRAG: tg:Question → tg:Exploration → tg:Focus → tg:Synthesis
Agent: tg:Question → tg:Analysis(s) → tg:Conclusion
All entities also have their PROV-O type (prov:Activity or prov:Entity).
Updated commit message:
Add provenance recording to React agent loop
Enables agent sessions to be traced and debugged using the same
explainability infrastructure as GraphRAG.
Entity types follow human reasoning patterns:
- tg:Question - the user's query (shared with GraphRAG)
- tg:Analysis - each think/act/observe cycle
- tg:Conclusion - the final answer
Also adds explicit TG types to GraphRAG entities:
- tg:Question, tg:Exploration, tg:Focus, tg:Synthesis
All types retain their PROV-O base types (prov:Activity, prov:Entity).
Changes:
- Add session_id and collection fields to AgentRequest schema
- Add explainability entity types to namespaces.py
- Create agent provenance triple generators
- Register explainability producer in agent service
- Emit provenance triples during agent execution
- Update CLI tools to detect and render both trace types
* Document RAG explainability is now complete. Here's a summary of the
changes made:
Schema Changes:
- trustgraph-base/trustgraph/schema/services/retrieval.py: Added
explain_id and explain_graph fields to DocumentRagResponse
- trustgraph-base/trustgraph/messaging/translators/retrieval.py:
Updated translator to handle explainability fields
Provenance Changes:
- trustgraph-base/trustgraph/provenance/namespaces.py: Added
TG_CHUNK_COUNT and TG_SELECTED_CHUNK predicates
- trustgraph-base/trustgraph/provenance/uris.py: Added
docrag_question_uri, docrag_exploration_uri, docrag_synthesis_uri
generators
- trustgraph-base/trustgraph/provenance/triples.py: Added
docrag_question_triples, docrag_exploration_triples,
docrag_synthesis_triples builders
- trustgraph-base/trustgraph/provenance/__init__.py: Exported all
new Document RAG functions and predicates
Service Changes:
- trustgraph-flow/trustgraph/retrieval/document_rag/document_rag.py:
Added explainability callback support and triple emission at each
phase (Question → Exploration → Synthesis)
- trustgraph-flow/trustgraph/retrieval/document_rag/rag.py:
Registered explainability producer and wired up the callback
Documentation:
- docs/tech-specs/agent-explainability.md: Added Document RAG entity
types and provenance model documentation
Document RAG Provenance Model:
Question (urn:trustgraph:docrag:{uuid})
│
│ tg:query, prov:startedAtTime
│ rdf:type = prov:Activity, tg:Question
│
↓ prov:wasGeneratedBy
│
Exploration (urn:trustgraph:docrag:{uuid}/exploration)
│
│ tg:chunkCount, tg:selectedChunk (multiple)
│ rdf:type = prov:Entity, tg:Exploration
│
↓ prov:wasDerivedFrom
│
Synthesis (urn:trustgraph:docrag:{uuid}/synthesis)
│
│ tg:content = "The answer..."
│ rdf:type = prov:Entity, tg:Synthesis
* Specific subtype that makes the retrieval mechanism immediately
obvious:
System: GraphRAG
TG Types on Question: tg:Question, tg:GraphRagQuestion
URI Pattern: urn:trustgraph:question:{uuid}
────────────────────────────────────────
System: Document RAG
TG Types on Question: tg:Question, tg:DocRagQuestion
URI Pattern: urn:trustgraph:docrag:{uuid}
────────────────────────────────────────
System: Agent
TG Types on Question: tg:Question, tg:AgentQuestion
URI Pattern: urn:trustgraph:agent:{uuid}
Files modified:
- trustgraph-base/trustgraph/provenance/namespaces.py - Added
TG_GRAPH_RAG_QUESTION, TG_DOC_RAG_QUESTION, TG_AGENT_QUESTION
- trustgraph-base/trustgraph/provenance/triples.py - Added subtype to
question_triples and docrag_question_triples
- trustgraph-base/trustgraph/provenance/agent.py - Added subtype to
agent_session_triples
- trustgraph-base/trustgraph/provenance/__init__.py - Exported new types
- docs/tech-specs/agent-explainability.md - Documented the subtypes
This allows:
- Query all questions: ?q rdf:type tg:Question
- Query only GraphRAG: ?q rdf:type tg:GraphRagQuestion
- Query only Document RAG: ?q rdf:type tg:DocRagQuestion
- Query only Agent: ?q rdf:type tg:AgentQuestion
* Fixed tests
9.8 KiB
Agent Explainability: Provenance Recording
Overview
Add provenance recording to the React agent loop so agent sessions can be traced and debugged using the same explainability infrastructure as GraphRAG.
Design Decisions:
- Write to
urn:graph:retrieval(generic explainability graph) - Linear dependency chain for now (analysis N → wasDerivedFrom → analysis N-1)
- Tools are opaque black boxes (record input/output only)
- DAG support deferred to future iteration
Entity Types
Both GraphRAG and Agent use PROV-O as the base ontology with TrustGraph-specific subtypes:
GraphRAG Types
| Entity | PROV-O Type | TG Types | Description |
|---|---|---|---|
| Question | prov:Activity |
tg:Question, tg:GraphRagQuestion |
The user's query |
| Exploration | prov:Entity |
tg:Exploration |
Edges retrieved from knowledge graph |
| Focus | prov:Entity |
tg:Focus |
Selected edges with reasoning |
| Synthesis | prov:Entity |
tg:Synthesis |
Final answer |
Agent Types
| Entity | PROV-O Type | TG Types | Description |
|---|---|---|---|
| Question | prov:Activity |
tg:Question, tg:AgentQuestion |
The user's query |
| Analysis | prov:Entity |
tg:Analysis |
Each think/act/observe cycle |
| Conclusion | prov:Entity |
tg:Conclusion |
Final answer |
Document RAG Types
| Entity | PROV-O Type | TG Types | Description |
|---|---|---|---|
| Question | prov:Activity |
tg:Question, tg:DocRagQuestion |
The user's query |
| Exploration | prov:Entity |
tg:Exploration |
Chunks retrieved from document store |
| Synthesis | prov:Entity |
tg:Synthesis |
Final answer |
Note: Document RAG uses a subset of GraphRAG's types (no Focus step since there's no edge selection/reasoning phase).
Question Subtypes
All Question entities share tg:Question as a base type but have a specific subtype to identify the retrieval mechanism:
| Subtype | URI Pattern | Mechanism |
|---|---|---|
tg:GraphRagQuestion |
urn:trustgraph:question:{uuid} |
Knowledge graph RAG |
tg:DocRagQuestion |
urn:trustgraph:docrag:{uuid} |
Document/chunk RAG |
tg:AgentQuestion |
urn:trustgraph:agent:{uuid} |
ReAct agent |
This allows querying all questions via tg:Question while filtering by specific mechanism via the subtype.
Provenance Model
Question (urn:trustgraph:agent:{uuid})
│
│ tg:query = "User's question"
│ prov:startedAtTime = timestamp
│ rdf:type = prov:Activity, tg:Question
│
↓ prov:wasDerivedFrom
│
Analysis1 (urn:trustgraph:agent:{uuid}/i1)
│
│ tg:thought = "I need to query the knowledge base..."
│ tg:action = "knowledge-query"
│ tg:arguments = {"question": "..."}
│ tg:observation = "Result from tool..."
│ rdf:type = prov:Entity, tg:Analysis
│
↓ prov:wasDerivedFrom
│
Analysis2 (urn:trustgraph:agent:{uuid}/i2)
│ ...
↓ prov:wasDerivedFrom
│
Conclusion (urn:trustgraph:agent:{uuid}/final)
│
│ tg:answer = "The final response..."
│ rdf:type = prov:Entity, tg:Conclusion
Document RAG Provenance Model
Question (urn:trustgraph:docrag:{uuid})
│
│ tg:query = "User's question"
│ prov:startedAtTime = timestamp
│ rdf:type = prov:Activity, tg:Question
│
↓ prov:wasGeneratedBy
│
Exploration (urn:trustgraph:docrag:{uuid}/exploration)
│
│ tg:chunkCount = 5
│ tg:selectedChunk = "chunk-id-1"
│ tg:selectedChunk = "chunk-id-2"
│ ...
│ rdf:type = prov:Entity, tg:Exploration
│
↓ prov:wasDerivedFrom
│
Synthesis (urn:trustgraph:docrag:{uuid}/synthesis)
│
│ tg:content = "The synthesized answer..."
│ rdf:type = prov:Entity, tg:Synthesis
Changes Required
1. Schema Changes
File: trustgraph-base/trustgraph/schema/services/agent.py
Add session_id and collection fields to AgentRequest:
@dataclass
class AgentRequest:
question: str = ""
state: str = ""
group: list[str] | None = None
history: list[AgentStep] = field(default_factory=list)
user: str = ""
collection: str = "default" # NEW: Collection for provenance traces
streaming: bool = False
session_id: str = "" # NEW: For provenance tracking across iterations
File: trustgraph-base/trustgraph/messaging/translators/agent.py
Update translator to handle session_id and collection in both to_pulsar() and from_pulsar().
2. Add Explainability Producer to Agent Service
File: trustgraph-flow/trustgraph/agent/react/service.py
Register an "explainability" producer (same pattern as GraphRAG):
from ... base import ProducerSpec
from ... schema import Triples
# In __init__:
self.register_specification(
ProducerSpec(
name = "explainability",
schema = Triples,
)
)
3. Provenance Triple Generation
File: trustgraph-base/trustgraph/provenance/agent.py
Create helper functions (similar to GraphRAG's question_triples, exploration_triples, etc.):
def agent_session_triples(session_uri, query, timestamp):
"""Generate triples for agent Question."""
return [
Triple(s=session_uri, p=RDF_TYPE, o=PROV_ACTIVITY),
Triple(s=session_uri, p=RDF_TYPE, o=TG_QUESTION),
Triple(s=session_uri, p=TG_QUERY, o=query),
Triple(s=session_uri, p=PROV_STARTED_AT_TIME, o=timestamp),
]
def agent_iteration_triples(iteration_uri, parent_uri, thought, action, arguments, observation):
"""Generate triples for one Analysis step."""
return [
Triple(s=iteration_uri, p=RDF_TYPE, o=PROV_ENTITY),
Triple(s=iteration_uri, p=RDF_TYPE, o=TG_ANALYSIS),
Triple(s=iteration_uri, p=TG_THOUGHT, o=thought),
Triple(s=iteration_uri, p=TG_ACTION, o=action),
Triple(s=iteration_uri, p=TG_ARGUMENTS, o=json.dumps(arguments)),
Triple(s=iteration_uri, p=TG_OBSERVATION, o=observation),
Triple(s=iteration_uri, p=PROV_WAS_DERIVED_FROM, o=parent_uri),
]
def agent_final_triples(final_uri, parent_uri, answer):
"""Generate triples for Conclusion."""
return [
Triple(s=final_uri, p=RDF_TYPE, o=PROV_ENTITY),
Triple(s=final_uri, p=RDF_TYPE, o=TG_CONCLUSION),
Triple(s=final_uri, p=TG_ANSWER, o=answer),
Triple(s=final_uri, p=PROV_WAS_DERIVED_FROM, o=parent_uri),
]
4. Type Definitions
File: trustgraph-base/trustgraph/provenance/namespaces.py
Add explainability entity types and agent predicates:
# Explainability entity types (used by both GraphRAG and Agent)
TG_QUESTION = TG + "Question"
TG_EXPLORATION = TG + "Exploration"
TG_FOCUS = TG + "Focus"
TG_SYNTHESIS = TG + "Synthesis"
TG_ANALYSIS = TG + "Analysis"
TG_CONCLUSION = TG + "Conclusion"
# Agent predicates
TG_THOUGHT = TG + "thought"
TG_ACTION = TG + "action"
TG_ARGUMENTS = TG + "arguments"
TG_OBSERVATION = TG + "observation"
TG_ANSWER = TG + "answer"
Files Modified
| File | Change |
|---|---|
trustgraph-base/trustgraph/schema/services/agent.py |
Add session_id and collection to AgentRequest |
trustgraph-base/trustgraph/messaging/translators/agent.py |
Update translator for new fields |
trustgraph-base/trustgraph/provenance/namespaces.py |
Add entity types, agent predicates, and Document RAG predicates |
trustgraph-base/trustgraph/provenance/triples.py |
Add TG types to GraphRAG triple builders, add Document RAG triple builders |
trustgraph-base/trustgraph/provenance/uris.py |
Add Document RAG URI generators |
trustgraph-base/trustgraph/provenance/__init__.py |
Export new types, predicates, and Document RAG functions |
trustgraph-base/trustgraph/schema/services/retrieval.py |
Add explain_id and explain_graph to DocumentRagResponse |
trustgraph-base/trustgraph/messaging/translators/retrieval.py |
Update DocumentRagResponseTranslator for explainability fields |
trustgraph-flow/trustgraph/agent/react/service.py |
Add explainability producer + recording logic |
trustgraph-flow/trustgraph/retrieval/document_rag/document_rag.py |
Add explainability callback and emit provenance triples |
trustgraph-flow/trustgraph/retrieval/document_rag/rag.py |
Add explainability producer and wire up callback |
trustgraph-cli/trustgraph/cli/show_explain_trace.py |
Handle agent trace types |
trustgraph-cli/trustgraph/cli/list_explain_traces.py |
List agent sessions alongside GraphRAG |
Files Created
| File | Purpose |
|---|---|
trustgraph-base/trustgraph/provenance/agent.py |
Agent-specific triple generators |
CLI Updates
Detection: Both GraphRAG and Agent Questions have tg:Question type. Distinguished by:
- URI pattern:
urn:trustgraph:agent:vsurn:trustgraph:question: - Derived entities:
tg:Analysis(agent) vstg:Exploration(GraphRAG)
list_explain_traces.py:
- Shows Type column (Agent vs GraphRAG)
show_explain_trace.py:
- Auto-detects trace type
- Agent rendering shows: Question → Analysis step(s) → Conclusion
Backwards Compatibility
session_iddefaults to""- old requests work, just won't have provenancecollectiondefaults to"default"- reasonable fallback- CLI gracefully handles both trace types
Verification
# Run an agent query
tg-invoke-agent -q "What is the capital of France?"
# List traces (should show agent sessions with Type column)
tg-list-explain-traces -U trustgraph -C default
# Show agent trace
tg-show-explain-trace "urn:trustgraph:agent:xxx"
Future Work (Not This PR)
- DAG dependencies (when analysis N uses results from multiple prior analyses)
- Tool-specific provenance linking (KnowledgeQuery → its GraphRAG trace)
- Streaming provenance emission (emit as we go, not batch at end)