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1 changed files with 101 additions and 37 deletions
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@ -38,10 +38,10 @@ from llama_stack.apis.agents import (
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Turn,
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)
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from llama_stack.apis.common.content_types import (
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URL,
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TextContentItem,
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ToolCallDelta,
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ToolCallParseStatus,
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URL,
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)
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from llama_stack.apis.inference import (
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ChatCompletionResponseEventType,
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@ -57,11 +57,7 @@ from llama_stack.apis.inference import (
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UserMessage,
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)
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from llama_stack.apis.safety import Safety
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from llama_stack.apis.tools import (
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ToolGroups,
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ToolInvocationResult,
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ToolRuntime,
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)
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from llama_stack.apis.tools import ToolGroups, ToolInvocationResult, ToolRuntime
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from llama_stack.apis.vector_io import VectorIO
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from llama_stack.log import get_logger
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from llama_stack.models.llama.datatypes import (
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@ -77,7 +73,9 @@ from .safety import SafetyException, ShieldRunnerMixin
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def make_random_string(length: int = 8):
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return "".join(secrets.choice(string.ascii_letters + string.digits) for _ in range(length))
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return "".join(
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secrets.choice(string.ascii_letters + string.digits) for _ in range(length)
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)
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TOOLS_ATTACHMENT_KEY_REGEX = re.compile(r"__tools_attachment__=(\{.*?\})")
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@ -176,7 +174,9 @@ class ChatAgent(ShieldRunnerMixin):
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messages.extend(self.turn_to_messages(turn))
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return messages
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async def create_and_execute_turn(self, request: AgentTurnCreateRequest) -> AsyncGenerator:
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async def create_and_execute_turn(
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self, request: AgentTurnCreateRequest
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) -> AsyncGenerator:
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span = tracing.get_current_span()
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if span:
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span.set_attribute("session_id", request.session_id)
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@ -221,13 +221,16 @@ class ChatAgent(ShieldRunnerMixin):
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messages = await self.get_messages_from_turns(turns)
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if is_resume:
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tool_response_messages = [
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ToolResponseMessage(call_id=x.call_id, content=x.content) for x in request.tool_responses
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ToolResponseMessage(call_id=x.call_id, content=x.content)
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for x in request.tool_responses
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]
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messages.extend(tool_response_messages)
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last_turn = turns[-1]
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last_turn_messages = self.turn_to_messages(last_turn)
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last_turn_messages = [
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x for x in last_turn_messages if isinstance(x, UserMessage) or isinstance(x, ToolResponseMessage)
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x
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for x in last_turn_messages
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if isinstance(x, UserMessage) or isinstance(x, ToolResponseMessage)
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]
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last_turn_messages.extend(tool_response_messages)
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@ -237,17 +240,31 @@ class ChatAgent(ShieldRunnerMixin):
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# mark tool execution step as complete
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# if there's no tool execution in progress step (due to storage, or tool call parsing on client),
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# we'll create a new tool execution step with current time
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in_progress_tool_call_step = await self.storage.get_in_progress_tool_call_step(
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request.session_id, request.turn_id
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in_progress_tool_call_step = (
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await self.storage.get_in_progress_tool_call_step(
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request.session_id, request.turn_id
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)
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)
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now = datetime.now(timezone.utc).isoformat()
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tool_execution_step = ToolExecutionStep(
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step_id=(in_progress_tool_call_step.step_id if in_progress_tool_call_step else str(uuid.uuid4())),
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step_id=(
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in_progress_tool_call_step.step_id
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if in_progress_tool_call_step
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else str(uuid.uuid4())
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),
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turn_id=request.turn_id,
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tool_calls=(in_progress_tool_call_step.tool_calls if in_progress_tool_call_step else []),
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tool_calls=(
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in_progress_tool_call_step.tool_calls
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if in_progress_tool_call_step
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else []
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),
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tool_responses=request.tool_responses,
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completed_at=now,
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started_at=(in_progress_tool_call_step.started_at if in_progress_tool_call_step else now),
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started_at=(
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in_progress_tool_call_step.started_at
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if in_progress_tool_call_step
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else now
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),
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)
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steps.append(tool_execution_step)
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yield AgentTurnResponseStreamChunk(
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@ -281,9 +298,14 @@ class ChatAgent(ShieldRunnerMixin):
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output_message = chunk
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continue
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assert isinstance(chunk, AgentTurnResponseStreamChunk), f"Unexpected type {type(chunk)}"
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assert isinstance(
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chunk, AgentTurnResponseStreamChunk
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), f"Unexpected type {type(chunk)}"
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event = chunk.event
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if event.payload.event_type == AgentTurnResponseEventType.step_complete.value:
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if (
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event.payload.event_type
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== AgentTurnResponseEventType.step_complete.value
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):
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steps.append(event.payload.step_details)
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yield chunk
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@ -459,7 +481,7 @@ class ChatAgent(ShieldRunnerMixin):
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contexts.append(raw_document_text)
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attached_context = "\n".join(contexts)
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input_messages[-1].context = attached_context
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input_messages[-1].content += attached_context
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session_info = await self.storage.get_session_info(session_id)
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# if the session has a memory bank id, let the memory tool use it
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@ -467,13 +489,19 @@ class ChatAgent(ShieldRunnerMixin):
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for tool_name in self.tool_name_to_args.keys():
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if tool_name == MEMORY_QUERY_TOOL:
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if "vector_db_ids" not in self.tool_name_to_args[tool_name]:
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self.tool_name_to_args[tool_name]["vector_db_ids"] = [session_info.vector_db_id]
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self.tool_name_to_args[tool_name]["vector_db_ids"] = [
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session_info.vector_db_id
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]
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else:
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self.tool_name_to_args[tool_name]["vector_db_ids"].append(session_info.vector_db_id)
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self.tool_name_to_args[tool_name]["vector_db_ids"].append(
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session_info.vector_db_id
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)
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output_attachments = []
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n_iter = await self.storage.get_num_infer_iters_in_turn(session_id, turn_id) or 0
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n_iter = (
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await self.storage.get_num_infer_iters_in_turn(session_id, turn_id) or 0
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)
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# Build a map of custom tools to their definitions for faster lookup
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client_tools = {}
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@ -551,12 +579,16 @@ class ChatAgent(ShieldRunnerMixin):
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span.set_attribute("stop_reason", stop_reason)
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span.set_attribute(
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"input",
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json.dumps([json.loads(m.model_dump_json()) for m in input_messages]),
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json.dumps(
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[json.loads(m.model_dump_json()) for m in input_messages]
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),
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)
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output_attr = json.dumps(
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{
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"content": content,
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"tool_calls": [json.loads(t.model_dump_json()) for t in tool_calls],
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"tool_calls": [
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json.loads(t.model_dump_json()) for t in tool_calls
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],
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}
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)
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span.set_attribute("output", output_attr)
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@ -620,7 +652,9 @@ class ChatAgent(ShieldRunnerMixin):
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message.content = [message.content] + output_attachments
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yield message
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else:
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logger.debug(f"completion message with EOM (iter: {n_iter}): {str(message)}")
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logger.debug(
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f"completion message with EOM (iter: {n_iter}): {str(message)}"
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)
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input_messages = input_messages + [message]
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else:
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input_messages = input_messages + [message]
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@ -669,7 +703,9 @@ class ChatAgent(ShieldRunnerMixin):
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"input": message.model_dump_json(),
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},
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) as span:
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tool_execution_start_time = datetime.now(timezone.utc).isoformat()
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tool_execution_start_time = datetime.now(
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timezone.utc
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).isoformat()
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tool_result = await self.execute_tool_call_maybe(
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session_id,
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tool_call,
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@ -718,7 +754,9 @@ class ChatAgent(ShieldRunnerMixin):
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# TODO: add tool-input touchpoint and a "start" event for this step also
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# but that needs a lot more refactoring of Tool code potentially
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if (type(result_message.content) is str) and (
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out_attachment := _interpret_content_as_attachment(result_message.content)
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out_attachment := _interpret_content_as_attachment(
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result_message.content
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)
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):
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# NOTE: when we push this message back to the model, the model may ignore the
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# attached file path etc. since the model is trained to only provide a user message
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@ -755,16 +793,24 @@ class ChatAgent(ShieldRunnerMixin):
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toolgroups_for_turn: Optional[List[AgentToolGroup]] = None,
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) -> None:
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toolgroup_to_args = {}
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for toolgroup in (self.agent_config.toolgroups or []) + (toolgroups_for_turn or []):
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for toolgroup in (self.agent_config.toolgroups or []) + (
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toolgroups_for_turn or []
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):
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if isinstance(toolgroup, AgentToolGroupWithArgs):
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tool_group_name, _ = self._parse_toolgroup_name(toolgroup.name)
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toolgroup_to_args[tool_group_name] = toolgroup.args
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# Determine which tools to include
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tool_groups_to_include = toolgroups_for_turn or self.agent_config.toolgroups or []
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tool_groups_to_include = (
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toolgroups_for_turn or self.agent_config.toolgroups or []
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)
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agent_config_toolgroups = []
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for toolgroup in tool_groups_to_include:
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name = toolgroup.name if isinstance(toolgroup, AgentToolGroupWithArgs) else toolgroup
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name = (
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toolgroup.name
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if isinstance(toolgroup, AgentToolGroupWithArgs)
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else toolgroup
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)
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if name not in agent_config_toolgroups:
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agent_config_toolgroups.append(name)
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@ -790,20 +836,32 @@ class ChatAgent(ShieldRunnerMixin):
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},
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)
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for toolgroup_name_with_maybe_tool_name in agent_config_toolgroups:
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toolgroup_name, input_tool_name = self._parse_toolgroup_name(toolgroup_name_with_maybe_tool_name)
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toolgroup_name, input_tool_name = self._parse_toolgroup_name(
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toolgroup_name_with_maybe_tool_name
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)
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tools = await self.tool_groups_api.list_tools(toolgroup_id=toolgroup_name)
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if not tools.data:
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available_tool_groups = ", ".join(
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[t.identifier for t in (await self.tool_groups_api.list_tool_groups()).data]
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[
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t.identifier
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for t in (await self.tool_groups_api.list_tool_groups()).data
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]
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)
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raise ValueError(f"Toolgroup {toolgroup_name} not found, available toolgroups: {available_tool_groups}")
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if input_tool_name is not None and not any(tool.identifier == input_tool_name for tool in tools.data):
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raise ValueError(
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f"Toolgroup {toolgroup_name} not found, available toolgroups: {available_tool_groups}"
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)
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if input_tool_name is not None and not any(
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tool.identifier == input_tool_name for tool in tools.data
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):
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raise ValueError(
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f"Tool {input_tool_name} not found in toolgroup {toolgroup_name}. Available tools: {', '.join([tool.identifier for tool in tools.data])}"
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)
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for tool_def in tools.data:
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if toolgroup_name.startswith("builtin") and toolgroup_name != RAG_TOOL_GROUP:
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if (
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toolgroup_name.startswith("builtin")
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and toolgroup_name != RAG_TOOL_GROUP
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):
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identifier: str | BuiltinTool | None = tool_def.identifier
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if identifier == "web_search":
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identifier = BuiltinTool.brave_search
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@ -832,14 +890,18 @@ class ChatAgent(ShieldRunnerMixin):
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for param in tool_def.parameters
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},
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)
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tool_name_to_args[tool_def.identifier] = toolgroup_to_args.get(toolgroup_name, {})
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tool_name_to_args[tool_def.identifier] = toolgroup_to_args.get(
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toolgroup_name, {}
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)
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self.tool_defs, self.tool_name_to_args = (
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list(tool_name_to_def.values()),
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tool_name_to_args,
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)
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def _parse_toolgroup_name(self, toolgroup_name_with_maybe_tool_name: str) -> tuple[str, Optional[str]]:
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def _parse_toolgroup_name(
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self, toolgroup_name_with_maybe_tool_name: str
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) -> tuple[str, Optional[str]]:
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"""Parse a toolgroup name into its components.
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Args:
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@ -875,7 +937,9 @@ class ChatAgent(ShieldRunnerMixin):
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else:
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tool_name_str = tool_name
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logger.info(f"executing tool call: {tool_name_str} with args: {tool_call.arguments}")
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logger.info(
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f"executing tool call: {tool_name_str} with args: {tool_call.arguments}"
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)
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result = await self.tool_runtime_api.invoke_tool(
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tool_name=tool_name_str,
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kwargs={
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