APEX/BrowserUse_and_ComputerUse_skills
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fix(anthropic): final polish — tool ID sanitization, crash guards, temp=1

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Remaining issues from deep scan:

Adapter (agent/anthropic_adapter.py):
- Add _sanitize_tool_id() — Anthropic requires IDs matching [a-zA-Z0-9_-],
  now strips invalid chars and ensures non-empty (both tool_use and tool_result)
- Empty tool result content → '(no output)' placeholder (Anthropic rejects empty)
- Set temperature=1 when thinking type='enabled' on older models (required)
- normalize_model_name now case-insensitive for 'Anthropic/' prefix
- Fix stale docstrings referencing only ~/.claude/.credentials.json

Agent loop (run_agent.py):
- Guard memory flush path (line ~2684) — was calling self.client.chat.completions
  which is None in anthropic_messages mode. Now routes through Anthropic client.
- Guard summary generation path (line ~3171) — same crash when reaching
  iteration limit. Now builds proper Anthropic kwargs and normalizes response.
- Guard retry summary path (line ~3200) — same fix for the summary retry loop.

All three self.client.chat.completions.create() calls outside the main
loop now have anthropic_messages branches to prevent NoneType crashes.
This commit is contained in:
teknium1 2026-03-12 17:23:09 -07:00
parent 4068f20ce9
commit aaaba78126
2 changed files with 57 additions and 13 deletions
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34
run_agent.py
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@ -2673,6 +2673,15 @@ class AIAgent:
if "max_output_tokens" in codex_kwargs:
codex_kwargs["max_output_tokens"] = 5120
response = self._run_codex_stream(codex_kwargs)
elif not _aux_available and self.api_mode == "anthropic_messages":
# Native Anthropic — use the Anthropic client directly
from agent.anthropic_adapter import build_anthropic_kwargs as _build_ant_kwargs
ant_kwargs = _build_ant_kwargs(
model=self.model, messages=api_messages,
tools=[memory_tool_def], max_tokens=5120,
reasoning_config=None,
)
response = self._anthropic_client.messages.create(**ant_kwargs)
elif not _aux_available:
api_kwargs = {
"model": self.model,
@ -3158,12 +3167,20 @@ class AIAgent:
if summary_extra_body:
summary_kwargs["extra_body"] = summary_extra_body
summary_response = self.client.chat.completions.create(**summary_kwargs)
if summary_response.choices and summary_response.choices[0].message.content:
final_response = summary_response.choices[0].message.content
if self.api_mode == "anthropic_messages":
from agent.anthropic_adapter import build_anthropic_kwargs as _bak, normalize_anthropic_response as _nar
_ant_kw = _bak(model=self.model, messages=api_messages, tools=None,
max_tokens=self.max_tokens, reasoning_config=self.reasoning_config)
summary_response = self._anthropic_client.messages.create(**_ant_kw)
_msg, _ = _nar(summary_response)
final_response = (_msg.content or "").strip()
else:
final_response = ""
summary_response = self.client.chat.completions.create(**summary_kwargs)
if summary_response.choices and summary_response.choices[0].message.content:
final_response = summary_response.choices[0].message.content
else:
final_response = ""
if final_response:
if "<think>" in final_response:
@ -3180,6 +3197,13 @@ class AIAgent:
retry_response = self._run_codex_stream(codex_kwargs)
retry_msg, _ = self._normalize_codex_response(retry_response)
final_response = (retry_msg.content or "").strip() if retry_msg else ""
elif self.api_mode == "anthropic_messages":
from agent.anthropic_adapter import build_anthropic_kwargs as _bak2, normalize_anthropic_response as _nar2
_ant_kw2 = _bak2(model=self.model, messages=api_messages, tools=None,
max_tokens=self.max_tokens, reasoning_config=self.reasoning_config)
retry_response = self._anthropic_client.messages.create(**_ant_kw2)
_retry_msg, _ = _nar2(retry_response)
final_response = (_retry_msg.content or "").strip()
else:
summary_kwargs = {
"model": self.model,