diff --git a/agent/bedrock_adapter.py b/agent/bedrock_adapter.py
index 74292e4ccf..f5f65ddb8a 100644
--- a/agent/bedrock_adapter.py
+++ b/agent/bedrock_adapter.py
@@ -154,7 +154,6 @@ class BedrockOpenAISigV4Auth(httpx.Auth):
         import botocore.session
         from botocore.auth import SigV4Auth
         from botocore.awsrequest import AWSRequest
-
         credentials = botocore.session.get_session().get_credentials()
         if credentials is None:
             raise RuntimeError(
@@ -215,7 +214,6 @@ _STALE_LIB_MODULE_PREFIXES = ("urllib3.", "botocore.", "boto3.")
 def _stale_error_types() -> tuple:
     """botocore + urllib3 transport-failure exception classes (best-effort import)."""
     import importlib
-
     types: list = []
     for module, names in (
         ("botocore.exceptions", ("ConnectionError", "HTTPClientError")),
@@ -656,19 +654,16 @@ def _assistant_blocks(msg: Dict, content) -> List[Dict]:
         content_blocks = _replay_ordered_blocks(ordered_blocks)
         if content_blocks:
             return content_blocks
-
     content_blocks = []
     for detail in (msg.get("reasoning_details") or []):
         if isinstance(detail, dict) and detail.get("type") == "redacted_thinking":
             redacted = _decode_redacted(detail.get("data") or detail.get("redactedContentBase64"))
             if redacted is not None:
                 content_blocks.append({"reasoningContent": {"redactedContent": redacted}})
-
     if isinstance(content, str) and content.strip():
         content_blocks.append({"text": content})
     elif isinstance(content, list):
         content_blocks.extend(_convert_content_to_converse(content))
-
     for tc in (msg.get("tool_calls", []) or []):
         fn = tc.get("function", {})
         content_blocks.append(_tool_use_block(tc.get("id", ""), fn.get("name", ""), _parse_tool_args(fn.get("arguments", "{}"))))
@@ -691,7 +686,6 @@ def convert_messages_to_converse(messages: List[Dict]) -> Tuple[Optional[List[Di
             converse_msgs[-1]["content"].extend(blocks)
         else:
             converse_msgs.append({"role": role, "content": blocks})
-
     for msg in messages:
         role = msg.get("role", "")
         content = msg.get("content")
@@ -707,7 +701,6 @@ def convert_messages_to_converse(messages: List[Dict]) -> Tuple[Optional[List[Di
             append_turn("assistant", _assistant_blocks(msg, content) or [dict(_PLACEHOLDER_BLOCK)])
         elif role == "user":
             append_turn("user", _convert_content_to_converse(content))
-
     if converse_msgs and converse_msgs[0]["role"] != "user":
         converse_msgs.insert(0, {"role": "user", "content": [dict(_PLACEHOLDER_BLOCK)]})
     if converse_msgs and converse_msgs[-1]["role"] != "user":
@@ -881,7 +874,6 @@ def stream_converse_with_callbacks(
         if encoded:
             parts.add_redacted(encoded)
             current_block({"reasoningContent": {}}).setdefault("reasoningContent", {})["redactedContentBase64"] = encoded
-
     for event in event_stream.get("stream", []):
         if on_event is not None:
             try:
@@ -890,7 +882,6 @@ def stream_converse_with_callbacks(
                 pass
         if on_interrupt_check and on_interrupt_check():
             break
-
         if "contentBlockStart" in event:
             start_event = event["contentBlockStart"]
             current_block_index = start_event.get("contentBlockIndex", len(stream_blocks))
@@ -902,7 +893,6 @@ def stream_converse_with_callbacks(
                 stream_blocks[current_block_index] = _tool_use_block(current_tool["toolUseId"], current_tool["name"], {})
                 if on_tool_start:
                     on_tool_start(current_tool["name"])
-
         elif "contentBlockDelta" in event:
             delta = event["contentBlockDelta"].get("delta", {})
             if "text" in delta:
@@ -916,7 +906,6 @@ def stream_converse_with_callbacks(
                 current_tool["input_json"] += delta["toolUse"].get("input", "")
             elif "reasoningContent" in delta:
                 on_reasoning(delta["reasoningContent"])
-
         elif "contentBlockStop" in event:
             if current_tool is not None:
                 input_dict = _parse_tool_args(current_tool["input_json"]) if current_tool["input_json"] else {}
@@ -926,17 +915,14 @@ def stream_converse_with_callbacks(
                 current_tool = None
             else:
                 flush_text()
-
         elif "messageStop" in event:
             stop_reason = event["messageStop"].get("stopReason", "end_turn")
-
         elif "metadata" in event:
             meta_usage = event["metadata"].get("usage", {})
             usage_data = {
                 key: meta_usage.get(key, 0)
                 for key in ("inputTokens", "outputTokens", "cacheReadInputTokens", "cacheWriteInputTokens")
             }
-
     flush_text()
     return parts.build([stream_blocks[i] for i in sorted(stream_blocks)], usage_data, stop_reason, "")
 
@@ -966,17 +952,13 @@ def build_converse_kwargs(
 
     def cache_here(placement: str) -> bool:
         return cache_enabled and cache_point_allowed(model, placement)
-
     inference_config: Dict[str, Any] = {}
     if max_tokens is not None:
         inference_config["maxTokens"] = max_tokens
     kwargs: Dict[str, Any] = {"modelId": model, "messages": converse_messages, "inferenceConfig": inference_config}
-
     if system_prompt:
         kwargs["system"] = system_prompt + [dict(_CACHE_POINT)] if cache_here("system") else system_prompt
-
     from agent.anthropic_adapter import _forbids_sampling_params
-
     if not _forbids_sampling_params(model):
         if temperature is not None:
             inference_config["temperature"] = temperature
@@ -984,7 +966,6 @@ def build_converse_kwargs(
             inference_config["topP"] = top_p
     if stop_sequences:
         inference_config["stopSequences"] = stop_sequences
-
     converse_tools = convert_tools_to_converse(tools) if tools else []
     if converse_tools:
         # Non-tool-calling models (e.g. DeepSeek R1) reject toolConfig with a
@@ -998,12 +979,10 @@ def build_converse_kwargs(
                 "Model %s does not support tool calling — tools stripped. "
                 "The agent will operate in text-only mode.", model
             )
-
     if cache_here("messages") and len(converse_messages) >= 2:
         content = converse_messages[-2].get("content")
         if isinstance(content, list) and content:
             content.append(dict(_CACHE_POINT))
-
     if guardrail_config:
         kwargs["guardrailConfig"] = guardrail_config
     if not inference_config:
@@ -1100,7 +1079,6 @@ def _list_inference_profiles(client, filter_set: set, models: List[Dict[str, Any
         next_token = response.get("nextToken")
         if not next_token:
             break
-
     seen_ids = {m["id"].lower() for m in models}
     for profile in profiles:
         profile_id = (profile.get("inferenceProfileId") or "").strip()
@@ -1123,18 +1101,15 @@ def discover_bedrock_models(region: str, provider_filter: Optional[List[str]] =
     Returns [] when the client cannot be built.
     """
     import time
-
     cache_key = f"{region}:{','.join(sorted(provider_filter or []))}"
     cached = _discovery_cache.get(cache_key)
     if cached and (time.time() - cached["timestamp"]) < _DISCOVERY_CACHE_TTL_SECONDS:
         return cached["models"]
-
     try:
         client = _get_bedrock_control_client(region)
     except Exception as e:
         logger.warning("Failed to create Bedrock client for model discovery: %s", e)
         return []
-
     models: List[Dict[str, Any]] = []
     filter_set = {f.lower() for f in (provider_filter or [])}
     try:
@@ -1145,7 +1120,6 @@ def discover_bedrock_models(region: str, provider_filter: Optional[List[str]] =
         _list_inference_profiles(client, filter_set, models)
     except Exception as e:
         logger.debug("Skipping inference profile discovery: %s", e)
-
     models.sort(key=lambda m: (0 if m["id"].startswith("global.") else 1, m["name"].lower()))
     _discovery_cache[cache_key] = {"timestamp": time.time(), "models": models}
     return models
@@ -1220,7 +1194,6 @@ def probe_bedrock_context_length(model_id: str, region: str) -> Optional[int]:
     except Exception as exc:  # boto3 missing / credential resolution failure
         logger.debug("Bedrock context probe skipped for %s: %s", model_id, exc)
         return None
-
     last_error = ""
     for tier_tokens in _BEDROCK_PROBE_TIERS:
         oversized = "data " * int(tier_tokens / _WORDS_PER_TOKEN)
@@ -1242,7 +1215,6 @@ def probe_bedrock_context_length(model_id: str, region: str) -> Optional[int]:
                 logger.info("Probed Bedrock context window for %s: %s tokens", model_id, f"{limit:,}")
                 return limit
             # Opaque server error / auth / throttle at this tier — try the next.
-
     logger.debug("Bedrock context probe for %s returned no parseable limit: %s", model_id, last_error[:200])
     return None
 
diff --git a/agent/codex_headers.py b/agent/codex_headers.py
index bec0c8fb0e..d967ae2e8a 100644
--- a/agent/codex_headers.py
+++ b/agent/codex_headers.py
@@ -43,7 +43,6 @@ def codex_cloudflare_headers(access_token: str, *, base_url: str = CODEX_AUX_BAS
     """
     if is_official_codex_base_url(base_url):
         from hermes_cli import __version__
-
         headers = {"User-Agent": f"HermesAgent/{__version__}", "originator": "hermes-agent"}
     else:
         headers = {"User-Agent": "codex_cli_rs/0.0.0 (Hermes Agent)", "originator": "codex_cli_rs"}
diff --git a/agent/codex_responses_adapter.py b/agent/codex_responses_adapter.py
index da3e23c774..8f55793c16 100644
--- a/agent/codex_responses_adapter.py
+++ b/agent/codex_responses_adapter.py
@@ -126,11 +126,9 @@ def _neutralize_harmony_tokens(text: str) -> str:
     """Keep Harmony source readable without emitting reserved wire tokens."""
     if not text or "<" not in text or "|" not in text:
         return text
-
     replacement = rf"<{_FULLWIDTH_PIPE}\1{_FULLWIDTH_PIPE}>"
     if not any(unicodedata.category(char) == "Cf" for char in text):
         return _HARMONY_CONTROL_TOKEN_RE.sub(replacement, text)
-
     # The backend strips Unicode format controls (e.g. U+200B) before its
     # reserved-token check, so match on the visible text and rewrite the
     # original spans — any Cf-hidden variant is neutralized the same way.
@@ -324,7 +322,6 @@ def _derive_responses_function_call_id(call_id: str, response_item_id: Optional[
     """Build a valid Responses `function_call.id` (must start with `fc_`)."""
     if isinstance(response_item_id, str) and response_item_id.strip().startswith("fc_"):
         return response_item_id.strip()
-
     source = (call_id or "").strip()
     sanitized = re.sub(r"[^A-Za-z0-9_-]", "", source)
     for candidate in (source, sanitized):
@@ -494,7 +491,6 @@ def _tool_output_item(msg: Dict[str, Any]) -> Optional[Dict[str, Any]]:
             call_id = raw_tool_call_id.strip()
     if not _nonblank(call_id):
         return None
-
     # ``output`` may be a string or an ``input_text``/``input_image`` array.
     tool_content = msg.get("content")
     output_value: Any = (
@@ -546,7 +542,6 @@ def _chat_messages_to_responses_input(
     def emit(new_items: List[Dict[str, Any]], msg: Dict[str, Any]) -> None:
         items.extend(new_items)
         item_sources.extend([msg] * len(new_items))
-
     for msg in messages:
         if not isinstance(msg, dict):
             continue
@@ -558,7 +553,6 @@ def _chat_messages_to_responses_input(
             continue
         if role not in {"user", "assistant"}:
             continue
-
         content = msg.get("content", "")
         content_parts = _chat_content_to_responses_parts(content, role=role)  # [] unless a list
         if isinstance(content, list):
@@ -566,11 +560,9 @@ def _chat_messages_to_responses_input(
             content_text = "".join(p["text"] for p in content_parts if p["type"] == text_type)
         else:
             content_text = _str_or_empty(content)
-
         if role == "user":
             emit([{"role": role, "content": content_parts or content_text}], msg)
             continue
-
         reasoning_items = [] if not replay_encrypted_reasoning else _replay_reasoning_items(
             msg, seen_item_ids=seen_item_ids, current_issuer_kind=current_issuer_kind,
             native_compaction_eligible=native_compaction_eligible,
@@ -578,7 +570,6 @@ def _chat_messages_to_responses_input(
         emit(reasoning_items, msg)
         message_items = _replay_message_items(msg, is_github_responses=is_github_responses)
         emit(message_items, msg)
-
         if not message_items:
             if content_parts:
                 emit([{"role": "assistant", "content": content_parts}], msg)
@@ -587,9 +578,7 @@ def _chat_messages_to_responses_input(
             elif reasoning_items:
                 # Every reasoning item needs a following item (else missing_following_item).
                 emit([{"role": "assistant", "content": ""}], msg)
-
         emit(_replay_tool_call_items(msg, start_index=len(items)), msg)
-
     # Native server-side compaction renders nothing placed before a compaction
     # item, so pre-checkpoint history is dead upload weight and the user's
     # plaintext asks / merged local summaries silently vanish. Keep the newest
@@ -597,9 +586,7 @@ def _chat_messages_to_responses_input(
     # messages within a token budget, leave the tail untouched.
     if not native_compaction_eligible:
         return items
-
     from agent.native_compaction import prune_pre_checkpoint_items
-
     return prune_pre_checkpoint_items(items, item_sources=item_sources)
 
 
@@ -622,7 +609,6 @@ def classify_responses_route(agent: Any) -> ResponsesRouteFlags:
     ``https://evil.com/models.github.ai`` must not classify as GitHub.
     """
     from utils import base_url_hostname
-
     provider = getattr(agent, "provider", None)
     base_url = str(getattr(agent, "base_url", "") or "")
     hostname = str(getattr(agent, "_base_url_hostname", "") or "").lower() or base_url_hostname(base_url)
@@ -630,7 +616,6 @@ def classify_responses_route(agent: Any) -> ResponsesRouteFlags:
 
     def _host_is(domain: str) -> bool:
         return hostname == domain or hostname.endswith("." + domain)
-
     return ResponsesRouteFlags(
         is_codex_backend=provider == "openai-codex" or (_host_is("chatgpt.com") and "/backend-api/codex" in lower),
         is_xai_responses=provider in {"xai", "xai-oauth"} or hostname == "api.x.ai",
@@ -654,17 +639,13 @@ def estimate_native_responses_preflight_tokens(
     """
     if getattr(agent, "api_mode", None) != "codex_responses" or not isinstance(messages, list):
         return None
-
     is_codex_backend, is_xai_responses, is_github_responses = classify_responses_route(agent)
-
     from agent.native_compaction import native_compaction_context_management
-
     if not native_compaction_context_management(
         agent, is_codex_backend=is_codex_backend, is_xai_responses=is_xai_responses,
         is_github_responses=is_github_responses,
     ):
         return None
-
     try:
         items = _chat_messages_to_responses_input(
             messages, is_xai_responses=is_xai_responses, is_github_responses=is_github_responses,
@@ -680,9 +661,7 @@ def estimate_native_responses_preflight_tokens(
         return None
     if not isinstance(items, list):
         return None
-
     from agent.model_metadata import estimate_request_tokens_rough
-
     return estimate_request_tokens_rough(items, system_prompt=system_prompt or "", tools=tools)
 
 
@@ -781,7 +760,6 @@ def _preflight_role_message(item: Dict[str, Any], idx: int, role: str, ctx: _Pre
     content = item.get("content", "")
     if not isinstance(content, list):
         return {"role": role, "content": ctx.sanitize_text(_str_or_empty(content))}
-
     # Parts are already Responses-shaped; validate and re-type text for the role.
     # Unlike history conversion, empty text / empty image urls are kept, not dropped.
     text_type = _text_type_for(role)
@@ -825,7 +803,6 @@ def _preflight_codex_input_items(
 ) -> List[Dict[str, Any]]:
     if not isinstance(raw_items, list):
         raise ValueError("Codex Responses input must be a list of input items.")
-
     ctx = _PreflightCtx(
         sanitize_text=_neutralize_harmony_tokens if sanitize_harmony_tokens else (lambda text: text),
         sanitize_harmony_tokens=sanitize_harmony_tokens,
@@ -906,19 +883,15 @@ def _preflight_codex_api_kwargs(
 ) -> Dict[str, Any]:
     if not isinstance(api_kwargs, dict):
         raise ValueError("Codex Responses request must be a dict.")
-
     missing = [key for key in ("model", "instructions", "input") if key not in api_kwargs]
     if missing:
         raise ValueError(f"Codex Responses request missing required field(s): {', '.join(sorted(missing))}.")
-
     model = api_kwargs.get("model")
     if not _nonblank(model):
         raise ValueError("Codex Responses request 'model' must be a non-empty string.")
-
     instructions = _str_or_empty(api_kwargs.get("instructions")).strip() or DEFAULT_AGENT_IDENTITY
     if sanitize_harmony_tokens:
         instructions = _neutralize_harmony_tokens(instructions)
-
     normalized: Dict[str, Any] = {
         "model": model.strip(),
         "instructions": instructions,
@@ -929,7 +902,6 @@ def _preflight_codex_api_kwargs(
         ),
         "store": False,
     }
-
     tools = api_kwargs.get("tools")
     if tools is not None:
         if not isinstance(tools, list):
@@ -938,15 +910,12 @@ def _preflight_codex_api_kwargs(
         if sanitize_harmony_tokens:
             normalized_tools = _neutralize_harmony_structure(normalized_tools)
         normalized["tools"] = normalized_tools
-
     if api_kwargs.get("store", False) is not False:
         raise ValueError("Codex Responses contract requires 'store' to be false.")
-
     for key, accept, coerce in _PREFLIGHT_OPTIONAL_FIELDS:
         value = api_kwargs.get(key)
         if accept(value):
             normalized[key] = coerce(value) if coerce else value
-
     extra_headers = api_kwargs.get("extra_headers")
     if extra_headers is not None:
         if not isinstance(extra_headers, dict):
@@ -956,7 +925,6 @@ def _preflight_codex_api_kwargs(
         normalized_headers = {key.strip(): str(value) for key, value in extra_headers.items() if value is not None}
         if normalized_headers:
             normalized["extra_headers"] = normalized_headers
-
     extra_body = api_kwargs.get("extra_body")
     if extra_body is not None:
         if not isinstance(extra_body, dict):
@@ -965,7 +933,6 @@ def _preflight_codex_api_kwargs(
         # the SDK serializes extra_body without per-field checks.
         if extra_body:
             normalized["extra_body"] = dict(extra_body)
-
     allowed_keys = set(_PREFLIGHT_ALLOWED_KEYS)
     if allow_stream:
         stream = api_kwargs.get("stream")
@@ -976,7 +943,6 @@ def _preflight_codex_api_kwargs(
         allowed_keys.add("stream")
     elif "stream" in api_kwargs:
         raise ValueError("Codex Responses stream flag is only allowed in fallback streaming requests.")
-
     # Defense-in-depth slash-enum strip for xAI (rejects ``Qwen/Qwen3.5`` style
     # enum values). Gated on the model name because native Codex accepts slashes.
     is_xai_model = str(api_kwargs.get("model") or "").lower().startswith(("grok-", "x-ai/grok-"))
@@ -986,7 +952,6 @@ def _preflight_codex_api_kwargs(
             normalized["tools"], _ = strip_slash_enum(normalized["tools"])
         except Exception:
             pass  # Best-effort — the caller-level sanitization should have handled it
-
     unexpected = sorted(key for key in api_kwargs if key not in allowed_keys)
     if unexpected:
         raise ValueError(f"Codex Responses request has unsupported field(s): {', '.join(unexpected)}.")
@@ -1025,7 +990,6 @@ def _format_responses_error(error_obj: Any, response_status: str) -> str:
     def field(name: str) -> str:
         value = _field(error_obj, name)
         return str(value).strip() if isinstance(value, str) or value else ""
-
     code_str, message_str = field("code"), field("message")
     if code_str and message_str:
         return f"{code_str}: {message_str}"
@@ -1113,7 +1077,6 @@ class _OutputScan:
             if item_status in _INCOMPLETE_STATUSES and item_type not in _SERVER_SIDE_TOOL_CALL_TYPES:
                 self.has_incomplete_items = True
                 self.saw_streaming_or_item_incomplete = True
-
             if item_type == "message":
                 self._message(item, item_status)
             elif item_type == "reasoning":
@@ -1170,7 +1133,6 @@ def _normalize_codex_response(response: Any, *, issuer_kind: Optional[str] = Non
     response_incomplete_content_filter = (
         response_status == "incomplete" and str(incomplete_reason or "").strip().lower() == "content_filter"
     )
-
     output = getattr(response, "output", None)
     if not isinstance(output, list) or not output:
         # Codex can deliver the whole answer via stream events and return an
@@ -1189,20 +1151,16 @@ def _normalize_codex_response(response: Any, *, issuer_kind: Optional[str] = Non
         else:
             raise RuntimeError("Responses API returned no output items")
         response.output = output
-
     if response_status in {"failed", "cancelled"}:
         raise RuntimeError(_format_responses_error(getattr(response, "error", None), response_status))
-
     scan = _OutputScan(response_status)
     scan.scan(output, issuer_kind)
     tool_calls, reasoning_parts = scan.tool_calls, scan.reasoning_parts
-
     final_text = "\n".join(scan.content_parts).strip()
     if not final_text and hasattr(response, "output_text") and (scan.saw_final_answer_phase or not scan.saw_commentary_phase):
         out_text = getattr(response, "output_text", "")
         if isinstance(out_text, str):
             final_text = out_text.strip()
-
     # Tool-call leak recovery: gpt-5.x sometimes emits the intended
     # ``function_call`` as plain Harmony text (``to=functions.foo {json}``) with
     # no structured item. Treat as incomplete so the continuation path
@@ -1216,7 +1174,6 @@ def _normalize_codex_response(response: Any, *, issuer_kind: Optional[str] = Non
             "Leaked snippet: %r", final_text[:300],
         )
         final_text = ""
-
     # Reasoning-channel answer salvage (xAI grok): grok-4.x sometimes puts the
     # final answer inside the reasoning item after its ``<response>`` delimiter.
     # Without salvage the reasoning-only rule marks the turn incomplete, and since
@@ -1235,7 +1192,6 @@ def _normalize_codex_response(response: Any, *, issuer_kind: Optional[str] = Non
                 final_text = salvaged
                 reasoning_prefix = joined_reasoning[:marker].strip()
                 reasoning_parts = [reasoning_prefix] if reasoning_prefix else []
-
     assistant_message = SimpleNamespace(
         content=final_text,
         tool_calls=tool_calls,
@@ -1245,7 +1201,6 @@ def _normalize_codex_response(response: Any, *, issuer_kind: Optional[str] = Non
         codex_reasoning_items=scan.reasoning_items_raw or None,
         codex_message_items=scan.message_items_raw or None,
     )
-
     if tool_calls:
         finish_reason = "tool_calls"
     elif response_incomplete_content_filter:
diff --git a/agent/codex_runtime.py b/agent/codex_runtime.py
index 9fe119694b..d59530785b 100644
--- a/agent/codex_runtime.py
+++ b/agent/codex_runtime.py
@@ -41,7 +41,6 @@ def _codex_request_failure_details(error: BaseException) -> tuple[int | None, st
     exception_classes: list[str] = []
     current: BaseException | None = error
     seen: set[int] = set()
-
     while current is not None and id(current) not in seen and len(seen) < 8:
         seen.add(id(current))
         exception_classes.append(type(current).__name__)
@@ -102,7 +101,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
     no usage still counts as one API call for session/status accounting.
     """
     agent.session_api_calls += 1
-
     usage = getattr(turn, "token_usage_last", None)
     compressor = getattr(agent, "context_compressor", None)
     if not isinstance(usage, dict) or not usage:
@@ -118,9 +116,7 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
             ),
         )
         return {}
-
     from agent.usage_pricing import CanonicalUsage, estimate_usage_cost
-
     canonical_usage = CanonicalUsage(
         input_tokens=_coerce_usage_int(usage.get("inputTokens")),
         output_tokens=_coerce_usage_int(usage.get("outputTokens")),
@@ -139,7 +135,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
         "prompt_tokens": prompt_tokens, "completion_tokens": canonical_usage.output_tokens, "total_tokens": total_tokens,
         **token_counts,
     }
-
     if compressor is not None:
         try:
             compressor.update_from_response(usage_dict)
@@ -148,10 +143,8 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
                 compressor.context_length = context_window
         except Exception:
             logger.debug("codex app-server usage update failed", exc_info=True)
-
     for key, value in usage_dict.items():
         setattr(agent, f"session_{key}", getattr(agent, f"session_{key}") + value)
-
     cost_result = estimate_usage_cost(
         agent.model, canonical_usage,
         provider=agent.provider, base_url=agent.base_url, api_key=getattr(agent, "api_key", ""),
@@ -161,7 +154,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
         agent.session_estimated_cost_usd += cost_usd
     agent.session_cost_status, agent.session_cost_source = cost_result.status, cost_result.source
     cost_fields = {"estimated_cost_usd": cost_usd, "cost_status": cost_result.status, "cost_source": cost_result.source}
-
     _queue_token_counts(
         agent, "Codex app-server token persistence failed (session=%s, tokens=%d): %s", total_tokens,
         counts=lambda: dict(
@@ -182,7 +174,6 @@ def _record_codex_app_server_compaction(agent, turn, *, approx_tokens: int | Non
     """
     if not force and not getattr(turn, "compacted", False):
         return False
-
     thread_id = getattr(turn, "thread_id", None) or ""
     turn_id = getattr(turn, "turn_id", None) or ""
     logger.info(
@@ -195,7 +186,6 @@ def _record_codex_app_server_compaction(agent, turn, *, approx_tokens: int | Non
             agent._emit_status(COMPACTION_STATUS)
         except Exception:
             pass
-
     compressor = getattr(agent, "context_compressor", None)
     if compressor is not None:
         compressor.compression_count = getattr(compressor, "compression_count", 0) + 1
@@ -212,7 +202,6 @@ def _record_codex_app_server_compaction(agent, turn, *, approx_tokens: int | Non
             compressor.last_prompt_tokens = -1
             compressor.last_completion_tokens = 0
             compressor.awaiting_real_usage_after_compression = True
-
     # Provider-side context was rewritten; the usage anchor's transcript snapshot no longer matches.
     agent._usage_anchor = None
     agent._turn_base_usage_anchor = None
@@ -333,7 +322,6 @@ def _codex_item_completion_payload(item: dict) -> tuple[str, bool]:
 def _stable_call_id(item: dict, name: str) -> str:
     """Deterministic tool_call id mirroring CodexEventProjector (live TUI card correlates with projected history)."""
     from agent.transports.codex_event_projector import _deterministic_call_id
-
     item_type = item.get("type") or ""
     tool = item.get("tool") or "unknown"
     if item_type == "mcpToolCall":
@@ -414,7 +402,6 @@ def make_codex_app_server_event_bridge(agent) -> Callable[[dict], None]:
             (_fire_tool_completed if completed else _fire_tool_started)(item)
         elif completed and item_type == "agentMessage":
             _fire_agent_message_completed(item)
-
     handlers: dict[str, Callable[[dict], None]] = {
         "item/agentMessage/delta": lambda p: _fire_delta(p, "_fire_stream_delta"),
         "item/reasoning/delta": lambda p: _fire_delta(p, "_fire_reasoning_delta"),
@@ -428,7 +415,6 @@ def make_codex_app_server_event_bridge(agent) -> Callable[[dict], None]:
         if handler is not None:
             params = note.get("params") or {}
             handler(params if isinstance(params, dict) else {})
-
     return on_event
 
 
@@ -461,7 +447,6 @@ def _ensure_codex_session(agent) -> None:
         return
     from agent.runtime_cwd import resolve_agent_cwd
     from agent.transports.codex_app_server_session import CodexAppServerSession, _ServerRequestRouting
-
     # Approval callback: Hermes' standard prompt flow when a CLI thread installed one.
     try:
         from tools.terminal_tool import _get_approval_callback
@@ -478,7 +463,6 @@ def _ensure_codex_session(agent) -> None:
         auto_approve_requests = is_approval_bypass_active()
     except Exception:
         logger.debug("codex app-server: approval-bypass lookup failed; keeping fail-closed default", exc_info=True)
-
     agent._codex_session = CodexAppServerSession(
         cwd=getattr(agent, "session_cwd", None) or str(resolve_agent_cwd()), approval_callback=approval_callback,
         request_routing=_ServerRequestRouting(auto_approve_exec=auto_approve_requests, auto_approve_apply_patch=auto_approve_requests),
@@ -498,10 +482,8 @@ def _persist_projected_messages(agent, turn, messages: List[Dict[str, Any]]) ->
     if not turn.projected_messages:
         return
     from agent.message_metadata import append_message
-
     for projected_message in turn.projected_messages:
         append_message(messages, projected_message)
-
     if getattr(agent, "_session_db", None) is None:
         return
     try:
@@ -528,14 +510,12 @@ def _finish_codex_turn(
     agent._iters_since_skill = getattr(agent, "_iters_since_skill", 0) + turn.tool_iterations
     _record_codex_app_server_compaction(agent, turn)
     usage_result = _record_codex_app_server_usage(agent, turn)
-
     # Skill nudge check AFTER iters were incremented (same as chat_completions).
     should_review_skills = (
         0 < agent._skill_nudge_interval <= agent._iters_since_skill and "skill_manage" in agent.valid_tool_names
     )
     if should_review_skills:
         agent._iters_since_skill = 0
-
     # External memory sync skipped on interrupt/error (no partial transcripts).
     if not turn.interrupted and turn.error is None:
         try:
@@ -545,7 +525,6 @@ def _finish_codex_turn(
             )
         except Exception:
             logger.debug("external memory sync raised", exc_info=True)
-
     # Background review fork: only when a trigger tripped AND a real final response exists.
     if turn.final_text and not turn.interrupted and (should_review_memory or should_review_skills):
         try:
@@ -554,7 +533,6 @@ def _finish_codex_turn(
             )
         except Exception:
             logger.debug("background review spawn raised", exc_info=True)
-
     return usage_result
 
 
@@ -581,9 +559,7 @@ def run_codex_app_server_turn(
             "codex_app_server owns the authoritative thread and compacts it "
             "without a truthful pre-compaction transcript boundary"
         )
-
     _ensure_codex_session(agent)
-
     try:
         turn = agent._codex_session.run_turn(user_input=user_message)
     except Exception as exc:
@@ -593,20 +569,16 @@ def run_codex_app_server_turn(
             _consume_user_interrupt(agent), messages, api_calls=0, completed=False, error=str(exc),
             final_response=f"Codex app-server turn failed: {exc}. Fall back to default runtime with `/codex-runtime auto`.",
         )
-
     interrupt = _consume_user_interrupt(agent, turn.interrupted)
-
     # Wedged client (deadline blown, watchdog tripped, OAuth refresh died,
     # subprocess exited): retire the session so the next turn respawns codex.
     if getattr(turn, "should_retire", False):
         logger.warning("codex app-server session retired (turn error: %s)", turn.error)
         _close_codex_session(agent)
-
     _persist_projected_messages(agent, turn, messages)
     usage_result = _finish_codex_turn(
         agent, turn, messages, original_user_message=original_user_message, should_review_memory=should_review_memory,
     )
-
     return _turn_result(
         interrupt, messages, api_calls=1, completed=not turn.interrupted and turn.error is None, error=turn.error,
         final_response=turn.final_text,
@@ -659,13 +631,11 @@ def _raise_stream_error(event: Any) -> None:
     ``run_agent`` is imported lazily to keep this module importable standalone.
     """
     from run_agent import _StreamErrorEvent
-
     nested = _event_field(event, "error")
 
     def _error_field(name: str) -> Any:
         value = _event_field(event, name)
         return _event_field(nested, name) if value is None and nested is not None else value
-
     raw_message = _error_field("message")
     message = (str(raw_message) if raw_message is not None else "stream emitted error event").strip() or "stream emitted error event"
     raise _StreamErrorEvent(message, code=_error_field("code"), param=_error_field("param"))
@@ -879,7 +849,6 @@ class _CodexResponseAssembler:
                 # executable; malformed non-empty JSON passes through untouched.
                 arguments=(pending["arguments"] or "").strip() or "{}",
             )))
-
         # output_index is optional and a partial ordering over mixed indexed/unindexed
         # entries is ill-defined: protocol order only when every entry has an index, else wire order.
         if all(entry[0] is not None for entry in indexed):
@@ -898,17 +867,14 @@ class _CodexResponseAssembler:
         if not output and self.text_deltas and not self.has_tool_calls:
             content = [SimpleNamespace(type="output_text", text="".join(self.text_deltas))]
             output = [SimpleNamespace(type="message", role="assistant", status="completed", content=content)]
-
         # Done items stay authoritative; settlement only fills the gap left by
         # backends that omit per-item done events on a successful completion.
         if self.pending_function_calls and self.saw_response_completed:
             output = self._settled_output()
-
         # No terminal frame AND no usable content = truncated / rejected stream,
         # distinct from "completed with empty body" (what the SDK helper raised as RuntimeError).
         if not self.saw_terminal and not output:
             raise RuntimeError("Codex Responses stream did not emit a terminal response")
-
         return SimpleNamespace(
             output=output, output_text="".join(self.text_deltas), usage=self.terminal_usage, status=self.terminal_status,
             id=self.terminal_response_id, model=self.model, incomplete_details=self.terminal_incomplete_details,
@@ -1021,7 +987,6 @@ def _bypass_sdk_request_transform(stream_kwargs: dict) -> dict:
     """
     if os.environ.get("HERMES_CODEX_SDK_TRANSFORM", "").strip().lower() in {"1", "true", "yes", "on"}:
         return stream_kwargs
-
     moved = {
         field: stream_kwargs[field]
         for field in _SDK_TRANSFORM_BYPASS_FIELDS
@@ -1029,7 +994,6 @@ def _bypass_sdk_request_transform(stream_kwargs: dict) -> dict:
     }
     if not moved:
         return stream_kwargs
-
     bypassed = {key: value for key, value in stream_kwargs.items() if key not in moved}
     extra_body = bypassed.get("extra_body")
     merged = dict(extra_body) if isinstance(extra_body, dict) else {}
@@ -1049,9 +1013,7 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
     """
     import httpx as _httpx
     from openai import APIConnectionError as _APIConnectionError
-
     from agent import relay_llm
-
     transport_errors = (_httpx.RemoteProtocolError, _httpx.ReadTimeout, _httpx.ConnectError, ConnectionError)
     active_client = client or agent._ensure_primary_openai_client(reason="codex_stream_direct")
     max_stream_retries = 1
@@ -1144,7 +1106,6 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
             # primary client, which is never reuse-cached and must not be force-shut.
             if client is not None:
                 agent._abort_request_openai_client(active_client, reason="codex_stream_close_failed")
-
     on_commentary_message = (
         _fenced(lambda text: agent._fire_streamed_codex_commentary(text))
         if getattr(agent, "interim_assistant_callback", None) is not None and getattr(agent, "show_commentary", True)
@@ -1155,11 +1116,9 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
         else "fallback" if int(getattr(agent, "_fallback_index", 0) or 0) > 0
         else "primary"
     )
-
     for attempt in range(max_stream_retries + 1):
         if agent._interrupt_requested:
             raise InterruptedError("Agent interrupted before Codex stream retry")
-
         intercepted_events: list = []
         writer_token["value"] = None
         event_stream = None
@@ -1209,10 +1168,8 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
             except _APIConnectionError as exc:
                 _log_failure(exc)
                 raise
-
             if not agent._interrupt_requested:
                 _drain_for_finalizer(event_stream)
-
             if final.status in {"incomplete", "failed"}:
                 logger.warning(
                     "Codex Responses stream terminal status=%s "