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fix(agent): include tool tokens in preflight estimate, guard context probe persistence (#3164)

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Two improvements salvaged from PR #2600 (paraddox):

1. Preflight compression now counts tool schema tokens alongside system
   prompt and messages.  With 50+ tools enabled, schemas can add 20-30K
   tokens that were previously invisible to the estimator, delaying
   compression until the API rejected the request.

2. Context probe persistence guard: when the agent steps down context
   tiers after a context-length error, only provider-confirmed numeric
   limits (parsed from the error message) are cached to disk.  Guessed
   fallback tiers from get_next_probe_tier() stay in-memory only,
   preventing wrong values from polluting the persistent cache.

Co-authored-by: paraddox <paraddox@users.noreply.github.com>
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Teknium 2026-03-26 02:00:50 -07:00 • committed by GitHub
parent 9989e579da
commit 43af094ae3
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2 changed files with 52 additions and 10 deletions
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23
agent/model_metadata.py
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@ -895,3 +895,26 @@ def estimate_messages_tokens_rough(messages: List[Dict[str, Any]]) -> int:
"""Rough token estimate for a message list (pre-flight only)."""
total_chars = sum(len(str(msg)) for msg in messages)
return total_chars // 4
def estimate_request_tokens_rough(
messages: List[Dict[str, Any]],
*,
system_prompt: str = "",
tools: Optional[List[Dict[str, Any]]] = None,
) -> int:
"""Rough token estimate for a full chat-completions request.
Includes the major payload buckets Hermes sends to providers:
system prompt, conversation messages, and tool schemas. With 50+
tools enabled, schemas alone can add 20-30K tokens — a significant
blind spot when only counting messages.
"""
total_chars = 0
if system_prompt:
total_chars += len(system_prompt)
if messages:
total_chars += sum(len(str(msg)) for msg in messages)
if tools:
total_chars += len(str(tools))
return total_chars // 4