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

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* 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
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tests/agent/test_runner_injections.py
+8 -4
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@@ -10,6 +10,7 @@ import pytest
from agent.runner_helpers import make_run_spec
from nanobot.agent.automation_turns import publish_next_deferred_turn
from nanobot.agent.context import TranscriptInput
from nanobot.agent.tools.context import RequestContext
from nanobot.config.schema import AgentDefaults
from nanobot.providers.base import LLMResponse, ToolCallRequest
@@ -617,7 +618,7 @@ async def test_loop_injected_followup_preserves_image_media(tmp_path):
runtime = loop.llm_runtime()
result = await loop._run_agent_loop(
[{"role": "user", "content": "hello"}],
TranscriptInput(history=[{"role": "user", "content": "hello"}], current_message=None),
runtime=runtime,
request_context=RequestContext(channel="cli", chat_id="c", runtime=runtime),
pending_queue=pending_queue,
@@ -711,7 +712,10 @@ async def test_pending_injection_resolves_its_own_runtime_context(tmp_path):
runtime = loop.llm_runtime()
result = await loop._run_agent_loop(
[{"role": "user", "content": "initial message from user A"}],
TranscriptInput(
history=[{"role": "user", "content": "initial message from user A"}],
current_message=None,
),
runtime=runtime,
session=session,
request_context=RequestContext(
@@ -812,7 +816,7 @@ async def test_subagent_pending_injection_is_hidden_history_and_not_merged(tmp_p
runtime = loop.llm_runtime()
result = await loop._run_agent_loop(
[{"role": "user", "content": "hello"}],
TranscriptInput(history=[{"role": "user", "content": "hello"}], current_message=None),
runtime=runtime,
request_context=RequestContext(channel="cli", chat_id="c", runtime=runtime),
pending_queue=pending_queue,
@@ -1476,7 +1480,7 @@ async def test_pending_queue_preserves_overflow_for_next_injection_cycle(tmp_pat
runtime = loop.llm_runtime()
result = await loop._run_agent_loop(
[{"role": "user", "content": "hello"}],
TranscriptInput(history=[{"role": "user", "content": "hello"}], current_message=None),
runtime=runtime,
request_context=RequestContext(channel="cli", chat_id="c", runtime=runtime),
pending_queue=pending_queue,