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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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@ -1,8 +1,8 @@
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"""
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List all GraphRAG sessions (questions) in a collection.
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List all explainability sessions (GraphRAG and Agent) in a collection.
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Queries for all questions stored in the retrieval graph and displays them
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with their session IDs and timestamps.
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with their session IDs, type (GraphRAG or Agent), and timestamps.
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Examples:
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tg-list-explain-traces -U trustgraph -C default
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@ -24,8 +24,10 @@ default_collection = 'default'
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# Predicates
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TG = "https://trustgraph.ai/ns/"
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TG_QUERY = TG + "query"
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TG_AGENT_SESSION = TG + "AgentSession"
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PROV = "http://www.w3.org/ns/prov#"
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PROV_STARTED_AT_TIME = PROV + "startedAtTime"
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RDF_TYPE = "http://www.w3.org/1999/02/22-rdf-syntax-ns#type"
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# Retrieval graph
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RETRIEVAL_GRAPH = "urn:graph:retrieval"
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@ -117,8 +119,20 @@ def get_timestamp(socket, flow_id, user, collection, question_id):
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return ""
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def get_session_type(socket, flow_id, user, collection, session_id):
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"""Get the type of session (Agent or GraphRAG)."""
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triples = query_triples(
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socket, flow_id, user, collection,
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s=session_id, p=RDF_TYPE, g=RETRIEVAL_GRAPH
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)
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for s, p, o in triples:
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if o == TG_AGENT_SESSION:
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return "Agent"
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return "GraphRAG"
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def list_sessions(socket, flow_id, user, collection, limit):
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"""List all GraphRAG sessions by finding questions."""
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"""List all explainability sessions (GraphRAG and Agent) by finding questions."""
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# Query for all triples with predicate = tg:query
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triples = query_triples(
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socket, flow_id, user, collection,
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@ -129,9 +143,12 @@ def list_sessions(socket, flow_id, user, collection, limit):
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for question_id, _, query_text in triples:
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# Get timestamp if available
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timestamp = get_timestamp(socket, flow_id, user, collection, question_id)
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# Get session type (Agent or GraphRAG)
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session_type = get_session_type(socket, flow_id, user, collection, question_id)
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sessions.append({
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"id": question_id,
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"type": session_type,
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"question": query_text,
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"time": timestamp,
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})
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@ -154,18 +171,19 @@ def truncate_text(text, max_len=60):
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def print_table(sessions):
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"""Print sessions as a table."""
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if not sessions:
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print("No GraphRAG sessions found.")
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print("No explainability sessions found.")
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return
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rows = []
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for session in sessions:
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rows.append([
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session["id"],
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truncate_text(session["question"], 50),
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session.get("type", "Unknown"),
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truncate_text(session["question"], 45),
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session.get("time", "")
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])
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headers = ["Session ID", "Question", "Time"]
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headers = ["Session ID", "Type", "Question", "Time"]
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print(tabulate(rows, headers=headers, tablefmt="simple"))
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@ -1,11 +1,15 @@
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"""
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Show full explainability trace for a GraphRAG session.
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Show full explainability trace for a GraphRAG or Agent session.
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Given a question/session URI, displays the complete cascade:
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Question -> Exploration -> Focus (edge selection) -> Synthesis (answer).
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Given a question/session URI, displays the complete trace:
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- GraphRAG: Question -> Exploration -> Focus (edge selection) -> Synthesis (answer)
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- Agent: Session -> Iteration(s) (thought/action/observation) -> Final Answer
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The tool auto-detects the trace type based on rdf:type.
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Examples:
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tg-show-explain-trace -U trustgraph -C default "urn:trustgraph:question:abc123"
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tg-show-explain-trace -U trustgraph -C default "urn:trustgraph:agent:abc123"
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tg-show-explain-trace --max-answer 1000 "urn:trustgraph:question:abc123"
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tg-show-explain-trace --show-provenance "urn:trustgraph:question:abc123"
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"""
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@ -31,10 +35,20 @@ TG_REASONING = TG + "reasoning"
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TG_CONTENT = TG + "content"
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TG_DOCUMENT = TG + "document"
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TG_REIFIES = TG + "reifies"
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# Agent 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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PROV = "http://www.w3.org/ns/prov#"
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PROV_STARTED_AT_TIME = PROV + "startedAtTime"
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PROV_WAS_DERIVED_FROM = PROV + "wasDerivedFrom"
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PROV_WAS_GENERATED_BY = PROV + "wasGeneratedBy"
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RDF_TYPE = "http://www.w3.org/1999/02/22-rdf-syntax-ns#type"
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RDFS_LABEL = "http://www.w3.org/2000/01/rdf-schema#label"
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# Graphs
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@ -280,6 +294,153 @@ def format_edge(edge, label_cache=None, socket=None, flow_id=None, user=None, co
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return f"({s_label}, {p_label}, {o_label})"
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def detect_trace_type(socket, flow_id, user, collection, entity_id):
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"""
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Detect whether an entity is an agent session or GraphRAG question.
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Returns:
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"agent" if entity has rdf:type = tg:AgentSession
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"graphrag" otherwise (default)
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"""
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triples = query_triples(
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socket, flow_id, user, collection,
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s=entity_id, p=RDF_TYPE, g=RETRIEVAL_GRAPH
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)
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for s, p, o in triples:
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if o == TG_AGENT_SESSION:
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return "agent"
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return "graphrag"
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def build_agent_trace(socket, flow_id, user, collection, session_id, api=None, max_answer=500):
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"""Build the full explainability trace for an agent session."""
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trace = {
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"session_id": session_id,
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"type": "agent",
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"question": None,
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"time": None,
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"iterations": [],
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"final_answer": None,
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}
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# Get session metadata
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props = get_node_properties(socket, flow_id, user, collection, session_id)
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trace["question"] = props.get(TG_QUERY, [None])[0]
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trace["time"] = props.get(PROV_STARTED_AT_TIME, [None])[0]
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# Find all entities derived from this session (iterations and final)
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# Start by looking for entities where prov:wasDerivedFrom = session_id
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current_uri = session_id
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iteration_num = 1
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while True:
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# Find entities derived from current
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derived_ids = find_by_predicate_object(
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socket, flow_id, user, collection,
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PROV_WAS_DERIVED_FROM, current_uri
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)
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if not derived_ids:
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break
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derived_id = derived_ids[0]
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derived_props = get_node_properties(socket, flow_id, user, collection, derived_id)
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# Check type
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types = derived_props.get(RDF_TYPE, [])
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if TG_AGENT_ITERATION in types:
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iteration = {
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"id": derived_id,
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"iteration_num": iteration_num,
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"thought": derived_props.get(TG_THOUGHT, [None])[0],
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"action": derived_props.get(TG_ACTION, [None])[0],
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"arguments": derived_props.get(TG_ARGUMENTS, [None])[0],
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"observation": derived_props.get(TG_OBSERVATION, [None])[0],
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}
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trace["iterations"].append(iteration)
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current_uri = derived_id
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iteration_num += 1
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elif TG_AGENT_FINAL in types:
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answer = derived_props.get(TG_ANSWER, [None])[0]
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if answer and len(answer) > max_answer:
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answer = answer[:max_answer] + "... [truncated]"
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trace["final_answer"] = {
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"id": derived_id,
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"answer": answer,
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}
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break
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else:
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# Unknown type, stop traversal
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break
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return trace
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def print_agent_text(trace):
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"""Print agent trace in text format."""
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print(f"=== Agent Session: {trace['session_id']} ===")
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print()
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if trace["question"]:
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print(f"Question: {trace['question']}")
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if trace["time"]:
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print(f"Time: {trace['time']}")
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print()
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# Iterations
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print("--- Iterations ---")
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iterations = trace.get("iterations", [])
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if iterations:
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for iteration in iterations:
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print(f"Iteration {iteration['iteration_num']}:")
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print(f" Thought: {iteration.get('thought', 'N/A')}")
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print(f" Action: {iteration.get('action', 'N/A')}")
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args = iteration.get('arguments')
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if args:
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# Try to pretty-print JSON arguments
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try:
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import json
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args_obj = json.loads(args)
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args_str = json.dumps(args_obj, indent=4)
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# Indent each line
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args_lines = args_str.split('\n')
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print(f" Arguments:")
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for line in args_lines:
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print(f" {line}")
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except:
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print(f" Arguments: {args}")
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else:
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print(f" Arguments: N/A")
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obs = iteration.get('observation', 'N/A')
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if obs and len(obs) > 200:
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obs = obs[:200] + "... [truncated]"
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print(f" Observation: {obs}")
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print()
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else:
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print("No iterations recorded")
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print()
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# Final answer
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print("--- Final Answer ---")
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final = trace.get("final_answer")
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if final and final.get("answer"):
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print("Answer:")
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for line in final["answer"].split("\n"):
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print(f" {line}")
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else:
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print("No final answer recorded")
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def print_agent_json(trace):
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"""Print agent trace as JSON."""
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print(json.dumps(trace, indent=2))
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def build_trace(socket, flow_id, user, collection, question_id, api=None, show_provenance=False, max_answer=500):
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"""Build the full explainability trace for a question."""
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label_cache = {}
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@ -530,21 +691,48 @@ def main():
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socket = api.socket()
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try:
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trace = build_trace(
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# Detect trace type (agent vs graphrag)
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trace_type = detect_trace_type(
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socket=socket,
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flow_id=args.flow_id,
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user=args.user,
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collection=args.collection,
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question_id=args.question_id,
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api=api,
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show_provenance=args.show_provenance,
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max_answer=args.max_answer,
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entity_id=args.question_id,
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)
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if args.format == 'json':
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print_json(trace)
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if trace_type == "agent":
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# Build and print agent trace
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trace = build_agent_trace(
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socket=socket,
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flow_id=args.flow_id,
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user=args.user,
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collection=args.collection,
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session_id=args.question_id,
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api=api,
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max_answer=args.max_answer,
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)
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if args.format == 'json':
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print_agent_json(trace)
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else:
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print_agent_text(trace)
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else:
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print_text(trace, show_provenance=args.show_provenance)
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# Build and print GraphRAG trace (existing behavior)
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trace = build_trace(
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socket=socket,
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flow_id=args.flow_id,
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user=args.user,
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collection=args.collection,
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question_id=args.question_id,
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api=api,
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show_provenance=args.show_provenance,
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max_answer=args.max_answer,
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)
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if args.format == 'json':
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print_json(trace)
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else:
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print_text(trace, show_provenance=args.show_provenance)
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finally:
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socket.close()
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