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feat(openai): avoid re-rendering full chat history on multi-turn rollout (#1658) #1663

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feat(openai): avoid re-rendering full chat history on multi-turn rollout (#1658) #1663

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d24c67e
fix(utils): lazy test model dict and safe package version checking
hsusul Sep 2, 2026
f551f76
feat(openai): avoid re-rendering full chat history on multi-turn roll…
hsusul Sep 2, 2026
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101 changes: 92 additions & 9 deletions areal/experimental/openai/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,7 @@
from areal.api import ModelRequest, ModelResponse
from areal.api.cli_args import GenerationHyperparameters
from areal.experimental.openai.cache import InteractionCache
from areal.experimental.openai.prompt_renderer import IncrementalPromptRenderer
from areal.experimental.openai.tool_call_parser import process_tool_calls
from areal.experimental.openai.types import InteractionWithTokenLogpReward
from areal.utils import logging
Expand Down Expand Up @@ -672,6 +673,26 @@ def _concat_prompt_token_ids_with_parent(
all_message_list = _parse_tool_call_arguments(all_message_list)

if full_prompt_token_ids is None:
if (
parent is not None
and parent.output_message_list is not None
and IncrementalPromptRenderer.is_supported(
tokenizer,
tools=tools,
chat_template_kwargs=extra_body.get("chat_template_kwargs", {}),
)
):
child_tokens = IncrementalPromptRenderer.render_concat_child_tokens(
tokenizer,
parent_output_messages=parent.output_message_list,
message_list=message_list,
tools=tools,
chat_template_kwargs=extra_body.get("chat_template_kwargs", {}),
)
if child_tokens is not None:
prompt_token_ids = parent_tokens + child_tokens
return prompt_token_ids, len(parent_tokens) - 1, len(parent_tokens)

all_tokens = apply_chat_template(
tokenizer,
all_message_list,
Expand Down Expand Up @@ -713,6 +734,7 @@ async def _prepare_prompt(
tools: Iterable[ChatCompletionToolParam] | None,
extra_body: Body,
require_multimodal_processor: bool = False,
interaction: InteractionWithTokenLogpReward | None = None,
) -> _PreparedPrompt:
"""Prepare text or multimodal prompt data for one agent interaction."""
chat_template_kwargs = extra_body.get("chat_template_kwargs", {})
Expand All @@ -734,18 +756,77 @@ async def _prepare_prompt(
)

if chat_template_type == "hf":
input_ids = (
processed_prompt.input_ids
if processed_prompt is not None
else apply_chat_template(
if processed_prompt is not None:
input_ids = processed_prompt.input_ids
elif (
processor is None
and parent is not None
and parent.messages
and len(tokenizer_messages) > len(parent.messages)
and IncrementalPromptRenderer.is_supported(
tokenizer, tools=tools, chat_template_kwargs=chat_template_kwargs
)
):
delta_messages = tokenizer_messages[len(parent.messages) :]
parent_base = parent.prompt_base_token_ids
if parent_base is None:
parent_base = apply_chat_template(

@sitabulaixizawaluduo sitabulaixizawaluduo Sep 3, 2026

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If the tools included in the second round of requests are inconsistent with those in the first round, applying only to the incremental part here will lead to a discrepancy in content between the two.

tokenizer,
parent.messages,
tools=tools,
add_generation_prompt=False,
tokenize=True,
**chat_template_kwargs,
)
parent.prompt_base_token_ids = parent_base
rendered = IncrementalPromptRenderer.render_incremental(
tokenizer,
tokenizer_messages,
parent_base,
delta_messages,
tools=tools,
add_generation_prompt=True,
tokenize=True,
**chat_template_kwargs,
chat_template_kwargs=chat_template_kwargs,
)
)
if rendered is not None:
input_ids, new_base = rendered
if interaction is not None:
interaction.prompt_base_token_ids = new_base
interaction.prompt_token_ids = list(input_ids)
else:
input_ids = apply_chat_template(
tokenizer,
tokenizer_messages,
tools=tools,
add_generation_prompt=True,
tokenize=True,
**chat_template_kwargs,
)
if interaction is not None:
interaction.prompt_token_ids = list(input_ids)
else:
if processor is None and IncrementalPromptRenderer.is_supported(
tokenizer, tools=tools, chat_template_kwargs=chat_template_kwargs
):
input_ids, base_ids = IncrementalPromptRenderer.render_initial(
tokenizer,
tokenizer_messages,
tools=tools,
chat_template_kwargs=chat_template_kwargs,
)
if interaction is not None:
interaction.prompt_base_token_ids = base_ids
interaction.prompt_token_ids = list(input_ids)
else:
input_ids = apply_chat_template(
tokenizer,
tokenizer_messages,
tools=tools,
add_generation_prompt=True,
tokenize=True,
**chat_template_kwargs,
)
if interaction is not None:
interaction.prompt_token_ids = list(input_ids)

if processor is None:
return _PreparedPrompt(input_ids=input_ids)
return _PreparedPrompt(
Expand Down Expand Up @@ -1051,6 +1132,7 @@ async def create(
tools=tools_list,
extra_body=extra_body,
require_multimodal_processor=self.require_multimodal_processor,
interaction=interaction,
)
prompt_token_ids = prepared_prompt.input_ids
if interaction is not None and self.processor is not None:
Expand Down Expand Up @@ -1508,6 +1590,7 @@ async def create(
tools=tools_list,
extra_body=extra_body,
require_multimodal_processor=self.require_multimodal_processor,
interaction=interaction,
)
prompt_token_ids = prepared_prompt.input_ids
if self.processor is not None:
Expand Down
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