trustgraph/docs/tech-specs/agent-explainability.md
cybermaggedon 312174eb88
Adding explainability to the ReACT agent (#689)
* 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
2026-03-11 15:28:15 +00:00

272 lines
9.8 KiB
Markdown

# 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`:
```python
@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):
```python
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.):
```python
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:
```python
# 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:
1. URI pattern: `urn:trustgraph:agent:` vs `urn:trustgraph:question:`
2. Derived entities: `tg:Analysis` (agent) vs `tg: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_id` defaults to `""` - old requests work, just won't have provenance
- `collection` defaults to `"default"` - reasonable fallback
- CLI gracefully handles both trace types
## Verification
```bash
# 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)