refactor(agent): defer transcript assembly to runner (#5608)

* refactor(agent): defer transcript assembly to runner

Keep persisted history and the fresh turn as explicit inputs until the Runner assembles the provider transcript. Preserve ContextBuilder and direct AgentRunner compatibility while making the save boundary structural.

Refs NAN-81.

* fix(providers): preserve mixed adjacent user content
This commit is contained in:
chengyongru
2026-08-31 00:06:15 +08:00
committed by GitHub
parent d019658501
commit 6cd7063682
19 changed files with 355 additions and 113 deletions
+14 -7
View File
@@ -7,6 +7,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from nanobot.agent.context import TranscriptInput
from nanobot.agent.goal_permission import goal_mutation_allowed, goal_mutation_permission
from nanobot.agent.tools.context import RequestContext
from nanobot.bus.outbound_events import StreamedResponseEvent
@@ -55,7 +56,7 @@ async def test_ephemeral_runner_enters_and_restores_turn_scopes(tmp_path):
loop.tools.get_definitions = MagicMock(return_value=[])
await loop._run_agent_loop(
[],
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
ephemeral=True,
turn_scopes=[goal_mutation_permission(True)],
@@ -340,7 +341,8 @@ async def test_loop_max_iterations_message_stays_stable(tmp_path):
loop.max_iterations = 2
result = await loop._run_agent_loop(
[], runtime=loop.llm_runtime()
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
)
assert result.final_content == (
@@ -362,7 +364,7 @@ async def test_loop_goal_turn_uses_standard_iteration_budget(tmp_path):
runtime = loop.llm_runtime()
result = await loop._run_agent_loop(
[],
TranscriptInput(history=[], current_message=None),
runtime=runtime,
request_context=RequestContext(
channel="cli",
@@ -401,7 +403,7 @@ async def test_loop_stream_filter_handles_think_only_prefix_without_crashing(tmp
endings.append(resuming)
result = await loop._run_agent_loop(
[],
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
on_stream=on_stream,
on_stream_end=on_stream_end,
@@ -428,7 +430,9 @@ async def test_loop_stream_filter_hides_partial_trailing_think_prefix(tmp_path):
deltas.append(delta)
result = await loop._run_agent_loop(
[], runtime=loop.llm_runtime(), on_stream=on_stream
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
on_stream=on_stream,
)
assert result.final_content == "Hello World"
@@ -451,7 +455,9 @@ async def test_loop_stream_filter_hides_complete_trailing_think_tag(tmp_path):
deltas.append(delta)
result = await loop._run_agent_loop(
[], runtime=loop.llm_runtime(), on_stream=on_stream
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
on_stream=on_stream,
)
assert result.final_content == "Hello World"
@@ -472,7 +478,8 @@ async def test_loop_retries_think_only_final_response(tmp_path):
loop.provider.chat_with_retry = chat_with_retry
result = await loop._run_agent_loop(
[], runtime=loop.llm_runtime()
TranscriptInput(history=[], current_message=None),
runtime=loop.llm_runtime(),
)
assert result.final_content == "Recovered answer"