Minor agent tweaks (#692)

Update RAG and Agent clients for streaming message handling

GraphRAG now sends multiple message types in a stream:
- 'explain' messages with explain_id and explain_graph for
  provenance
- 'chunk' messages with response text fragments
- end_of_session marker for stream completion

Updated all clients to handle this properly:

CLI clients (trustgraph-base/trustgraph/clients/):
- graph_rag_client.py: Added chunk_callback and explain_callback
- document_rag_client.py: Added chunk_callback and explain_callback
- agent_client.py: Added think, observe, answer_callback,
  error_callback

Internal clients (trustgraph-base/trustgraph/base/):
- graph_rag_client.py: Async callbacks for streaming
- agent_client.py: Async callbacks for streaming

All clients now:
- Route messages by chunk_type/message_type
- Stream via optional callbacks for incremental delivery
- Wait for proper completion signals
(end_of_dialog/end_of_session/end_of_stream)
- Accumulate and return complete response for callers not using
  callbacks

Updated callers:
- extract/kg/agent/extract.py: Uses new invoke(question=...) API
- tests/integration/test_agent_kg_extraction_integration.py:
  Updated mocks

This fixes the agent infinite loop issue where knowledge_query was
returning the first 'explain' message (empty response) instead of
waiting for the actual answer chunks.

Concurrency in triples query

tests/integration/test_agent_kg_extraction_integration.py

@@ -31,7 +31,7 @@ class TestAgentKgExtractionIntegration:
         agent_client = AsyncMock()
         
         # Mock successful agent response in JSONL format
-        def mock_agent_response(recipient, question):
+        def mock_agent_response(question):
             # Simulate agent processing and return structured JSONL response
             mock_response = MagicMock()
             mock_response.error = None
@@ -124,7 +124,7 @@ class TestAgentKgExtractionIntegration:
             
             # Get agent response (the mock returns a string directly)
             agent_client = flow("agent-request")
-            agent_response = agent_client.invoke(recipient=lambda x: True, question=prompt)
+            agent_response = agent_client.invoke(question=prompt)
             
             # Parse and process
             extraction_data = extractor.parse_jsonl(agent_response)
@@ -197,7 +197,7 @@ class TestAgentKgExtractionIntegration:
         # Arrange - mock agent error response
         agent_client = mock_flow_context("agent-request")
         
-        def mock_error_response(recipient, question):
+        def mock_error_response(question):
             # Simulate agent error by raising an exception
             raise RuntimeError("Agent processing failed")
         
@@ -219,7 +219,7 @@ class TestAgentKgExtractionIntegration:
         # Arrange - mock invalid JSON response
         agent_client = mock_flow_context("agent-request")
 
-        def mock_invalid_json_response(recipient, question):
+        def mock_invalid_json_response(question):
             return "This is not valid JSON at all"
 
         agent_client.invoke = mock_invalid_json_response
@@ -244,7 +244,7 @@ class TestAgentKgExtractionIntegration:
         # Arrange - mock empty extraction response
         agent_client = mock_flow_context("agent-request")
         
-        def mock_empty_response(recipient, question):
+        def mock_empty_response(question):
             # Return empty JSONL (just empty/whitespace)
             return ''
         
@@ -271,7 +271,7 @@ class TestAgentKgExtractionIntegration:
         # Arrange - mock malformed extraction response
         agent_client = mock_flow_context("agent-request")
         
-        def mock_malformed_response(recipient, question):
+        def mock_malformed_response(question):
             # JSONL with definition missing required field
             return '{"type": "definition", "entity": "Missing Definition"}'
         
@@ -297,7 +297,7 @@ class TestAgentKgExtractionIntegration:
         
         agent_client = mock_flow_context("agent-request")
         
-        def capture_prompt(recipient, question):
+        def capture_prompt(question):
             # Verify the prompt contains the test text
             assert test_text in question
             return ''  # Empty JSONL response
@@ -330,7 +330,7 @@ class TestAgentKgExtractionIntegration:
         agent_client = mock_flow_context("agent-request")
         responses = []
         
-        def mock_response(recipient, question):
+        def mock_response(question):
             response = f'{{"type": "definition", "entity": "Entity {len(responses)}", "definition": "Definition {len(responses)}"}}'
             responses.append(response)
             return response
@@ -364,7 +364,7 @@ class TestAgentKgExtractionIntegration:
         
         agent_client = mock_flow_context("agent-request")
         
-        def mock_unicode_response(recipient, question):
+        def mock_unicode_response(question):
             # Verify unicode text was properly decoded and included
             assert "学习机器" in question
             assert "人工知能" in question
@@ -400,7 +400,7 @@ class TestAgentKgExtractionIntegration:
         
         agent_client = mock_flow_context("agent-request")
         
-        def mock_large_text_response(recipient, question):
+        def mock_large_text_response(question):
             # Verify large text was included
             assert len(question) > 10000
             return '{"type": "definition", "entity": "Machine Learning", "definition": "Important AI technique"}'

trustgraph-base/trustgraph/base/agent_client.py

@@ -4,10 +4,57 @@ from .. schema import AgentRequest, AgentResponse
 from .. knowledge import Uri, Literal
 
 class AgentClient(RequestResponse):
-    async def invoke(self, recipient, question, plan=None, state=None,
+    async def invoke(self, question, plan=None, state=None,
-                    history=[], timeout=300):
+                    history=[], think=None, observe=None, answer_callback=None,
-        
+                    timeout=300):
-        resp = await self.request(
+        """
+        Invoke the agent with optional streaming callbacks.
+
+        Args:
+            question: The question to ask
+            plan: Optional plan context
+            state: Optional state context
+            history: Conversation history
+            think: Optional async callback(content, end_of_message) for thought chunks
+            observe: Optional async callback(content, end_of_message) for observation chunks
+            answer_callback: Optional async callback(content, end_of_message) for answer chunks
+            timeout: Request timeout in seconds
+
+        Returns:
+            Complete answer text (accumulated from all answer chunks)
+        """
+        accumulated_answer = []
+
+        async def recipient(resp):
+            if resp.error:
+                raise RuntimeError(resp.error.message)
+
+            # Handle thought chunks
+            if resp.chunk_type == 'thought':
+                if think:
+                    await think(resp.content, resp.end_of_message)
+                return False  # Continue receiving
+
+            # Handle observation chunks
+            if resp.chunk_type == 'observation':
+                if observe:
+                    await observe(resp.content, resp.end_of_message)
+                return False  # Continue receiving
+
+            # Handle answer chunks
+            if resp.chunk_type == 'answer':
+                if resp.content:
+                    accumulated_answer.append(resp.content)
+                if answer_callback:
+                    await answer_callback(resp.content, resp.end_of_message)
+
+            # Complete when dialog ends
+            if resp.end_of_dialog:
+                return True
+
+            return False  # Continue receiving
+
+        await self.request(
             AgentRequest(
                 question = question,
                 plan = plan,
@@ -18,10 +65,7 @@ class AgentClient(RequestResponse):
             timeout=timeout,
         )
 
-        if resp.error:
+        return "".join(accumulated_answer)
-            raise RuntimeError(resp.error.message)
-
-        return resp.answer
 
 class AgentClientSpec(RequestResponseSpec):
     def __init__(

trustgraph-base/trustgraph/base/graph_rag_client.py

@@ -4,20 +4,58 @@ from .. schema import GraphRagQuery, GraphRagResponse
 
 class GraphRagClient(RequestResponse):
     async def rag(self, query, user="trustgraph", collection="default",
+                  chunk_callback=None, explain_callback=None,
                   timeout=600):
-        resp = await self.request(
+        """
+        Execute a graph RAG query with optional streaming callbacks.
+
+        Args:
+            query: The question to ask
+            user: User identifier
+            collection: Collection identifier
+            chunk_callback: Optional async callback(text, end_of_stream) for text chunks
+            explain_callback: Optional async callback(explain_id, explain_graph) for explain notifications
+            timeout: Request timeout in seconds
+
+        Returns:
+            Complete response text (accumulated from all chunks)
+        """
+        accumulated_response = []
+
+        async def recipient(resp):
+            if resp.error:
+                raise RuntimeError(resp.error.message)
+
+            # Handle explain notifications
+            if resp.message_type == 'explain':
+                if explain_callback and resp.explain_id:
+                    await explain_callback(resp.explain_id, resp.explain_graph)
+                return False  # Continue receiving
+
+            # Handle text chunks
+            if resp.message_type == 'chunk':
+                if resp.response:
+                    accumulated_response.append(resp.response)
+                if chunk_callback:
+                    await chunk_callback(resp.response, resp.end_of_stream)
+
+            # Complete when session ends
+            if resp.end_of_session:
+                return True
+
+            return False  # Continue receiving
+
+        await self.request(
             GraphRagQuery(
                 query = query,
                 user = user,
                 collection = collection,
             ),
-            timeout=timeout
+            timeout=timeout,
+            recipient=recipient,
         )
 
-        if resp.error:
+        return "".join(accumulated_response)
-            raise RuntimeError(resp.error.message)
-
-        return resp.response
 
 class GraphRagClientSpec(RequestResponseSpec):
     def __init__(

trustgraph-base/trustgraph/base/triples_query_service.py

@@ -17,12 +17,14 @@ from . producer_spec import ProducerSpec
 logger = logging.getLogger(__name__)
 
 default_ident = "triples-query"
+default_concurrency = 10
 
 class TriplesQueryService(FlowProcessor):
 
     def __init__(self, **params):
 
         id = params.get("id")
+        concurrency = params.get("concurrency", default_concurrency)
 
         super(TriplesQueryService, self).__init__(**params | { "id": id })
 
@@ -30,7 +32,8 @@ class TriplesQueryService(FlowProcessor):
             ConsumerSpec(
                 name = "request",
                 schema = TriplesQueryRequest,
-                handler = self.on_message
+                handler = self.on_message,
+                concurrency = concurrency,
             )
         )
 
@@ -109,6 +112,13 @@ class TriplesQueryService(FlowProcessor):
 
         FlowProcessor.add_args(parser)
 
+        parser.add_argument(
+            '-c', '--concurrency',
+            type=int,
+            default=default_concurrency,
+            help=f'Number of concurrent requests (default: {default_concurrency})'
+        )
+
 def run():
 
     Processor.launch(default_ident, __doc__)

trustgraph-base/trustgraph/clients/agent_client.py

@@ -42,25 +42,59 @@ class AgentClient(BaseClient):
             question,
             think=None,
             observe=None,
+            answer_callback=None,
+            error_callback=None,
             timeout=300
     ):
+        """
+        Request an agent query with optional streaming callbacks.
+
+        Args:
+            question: The question to ask
+            think: Optional callback(content, end_of_message) for thought chunks
+            observe: Optional callback(content, end_of_message) for observation chunks
+            answer_callback: Optional callback(content, end_of_message) for answer chunks
+            error_callback: Optional callback(content) for error messages
+            timeout: Request timeout in seconds
+
+        Returns:
+            Complete answer text (accumulated from all answer chunks)
+        """
+        accumulated_answer = []
 
         def inspect(x):
+            # Handle errors
+            if x.chunk_type == 'error' or x.error:
+                if error_callback:
+                    error_callback(x.content or (x.error.message if x.error else ""))
+                # Continue to check end_of_dialog
 
-            if x.thought and think:
+            # Handle thought chunks
-                think(x.thought)
+            elif x.chunk_type == 'thought':
-                return
+                if think:
+                    think(x.content, x.end_of_message)
 
-            if x.observation and observe:
+            # Handle observation chunks
-                observe(x.observation)
+            elif x.chunk_type == 'observation':
-                return
+                if observe:
+                    observe(x.content, x.end_of_message)
 
-            if x.answer:
+            # Handle answer chunks
+            elif x.chunk_type == 'answer':
+                if x.content:
+                    accumulated_answer.append(x.content)
+                if answer_callback:
+                    answer_callback(x.content, x.end_of_message)
+
+            # Complete when dialog ends
+            if x.end_of_dialog:
                 return True
 
-            return False
+            return False  # Continue receiving
 
-        return self.call(
+        self.call(
             question=question, inspect=inspect, timeout=timeout
-        ).answer
+        )
+
+        return "".join(accumulated_answer)
 

trustgraph-base/trustgraph/clients/document_rag_client.py

@@ -40,9 +40,47 @@ class DocumentRagClient(BaseClient):
             output_schema=DocumentRagResponse,
         )
 
-    def request(self, query, timeout=300):
+    def request(self, query, user="trustgraph", collection="default",
+                chunk_callback=None, explain_callback=None, timeout=300):
+        """
+        Request a document RAG query with optional streaming callbacks.
 
-        return self.call(
+        Args:
-            query=query, timeout=timeout
+            query: The question to ask
-        ).response
+            user: User identifier
+            collection: Collection identifier
+            chunk_callback: Optional callback(text, end_of_stream) for text chunks
+            explain_callback: Optional callback(explain_id, explain_graph) for explain notifications
+            timeout: Request timeout in seconds
+
+        Returns:
+            Complete response text (accumulated from all chunks)
+        """
+        accumulated_response = []
+
+        def inspect(x):
+            # Handle explain notifications (response is None/empty, explain_id present)
+            if x.explain_id and not x.response:
+                if explain_callback:
+                    explain_callback(x.explain_id, x.explain_graph)
+                return False  # Continue receiving
+
+            # Handle text chunks
+            if x.response:
+                accumulated_response.append(x.response)
+                if chunk_callback:
+                    chunk_callback(x.response, x.end_of_stream)
+
+            # Complete when stream ends
+            if x.end_of_stream:
+                return True
+
+            return False  # Continue receiving
+
+        self.call(
+            query=query, user=user, collection=collection,
+            inspect=inspect, timeout=timeout
+        )
+
+        return "".join(accumulated_response)
 

trustgraph-base/trustgraph/clients/graph_rag_client.py

@@ -42,10 +42,50 @@ class GraphRagClient(BaseClient):
 
     def request(
             self, query, user="trustgraph", collection="default",
+            chunk_callback=None,
+            explain_callback=None,
             timeout=500
     ):
+        """
+        Request a graph RAG query with optional streaming callbacks.
 
-        return self.call(
+        Args:
-            user=user, collection=collection, query=query, timeout=timeout
+            query: The question to ask
-        ).response
+            user: User identifier
+            collection: Collection identifier
+            chunk_callback: Optional callback(text, end_of_stream) for text chunks
+            explain_callback: Optional callback(explain_id, explain_graph) for explain notifications
+            timeout: Request timeout in seconds
+
+        Returns:
+            Complete response text (accumulated from all chunks)
+        """
+        accumulated_response = []
+
+        def inspect(x):
+            # Handle explain notifications
+            if x.message_type == 'explain':
+                if explain_callback and x.explain_id:
+                    explain_callback(x.explain_id, x.explain_graph)
+                return False  # Continue receiving
+
+            # Handle text chunks
+            if x.message_type == 'chunk':
+                if x.response:
+                    accumulated_response.append(x.response)
+                if chunk_callback:
+                    chunk_callback(x.response, x.end_of_stream)
+
+            # Complete when session ends
+            if x.end_of_session:
+                return True
+
+            return False  # Continue receiving
+
+        self.call(
+            user=user, collection=collection, query=query,
+            inspect=inspect, timeout=timeout
+        )
+
+        return "".join(accumulated_response)
 

trustgraph-flow/trustgraph/extract/kg/agent/extract.py

@@ -183,24 +183,8 @@ class Processor(FlowProcessor):
 
             logger.debug(f"Agent prompt: {prompt}")
 
-            async def handle(response):
-
-                logger.debug(f"Agent response: {response}")
-
-                if response.error is not None:
-                    if response.error.message:
-                        raise RuntimeError(str(response.error.message))
-                    else:
-                        raise RuntimeError(str(response.error))
-
-                if response.answer is not None:
-                    return True
-                else:
-                    return False
-            
             # Send to agent API
             agent_response = await flow("agent-request").invoke(
-                recipient = handle,
                 question = prompt
             )