feat: smart context length probing with persistent caching + banner display

Replaces the unsafe 128K fallback for unknown models with a descending
probe strategy (2M → 1M → 512K → 200K → 128K → 64K → 32K). When a
context-length error occurs, the agent steps down tiers and retries.
The discovered limit is cached per model+provider combo in
~/.hermes/context_length_cache.yaml so subsequent sessions skip probing.

Also parses API error messages to extract the actual context limit
(e.g. 'maximum context length is 32768 tokens') for instant resolution.

The CLI banner now displays the context window size next to the model
name (e.g. 'claude-opus-4 · 200K context · Nous Research').

Changes:
- agent/model_metadata.py: CONTEXT_PROBE_TIERS, persistent cache
  (save/load/get), parse_context_limit_from_error(), get_next_probe_tier()
- agent/context_compressor.py: accepts base_url, passes to metadata
- run_agent.py: step-down logic in context error handler, caches on success
- cli.py + hermes_cli/banner.py: context length in welcome banner
- tests: 22 new tests for probing, parsing, and caching

Addresses #132. PR #319's approach (8K default) rejected — too conservative.
This commit is contained in:
teknium1 2026-03-05 16:09:57 -08:00
parent 55b173dd03
commit c886333d32
6 changed files with 324 additions and 16 deletions

View file

@ -34,17 +34,20 @@ class ContextCompressor:
summary_target_tokens: int = 2500,
quiet_mode: bool = False,
summary_model_override: str = None,
base_url: str = "",
):
self.model = model
self.base_url = base_url
self.threshold_percent = threshold_percent
self.protect_first_n = protect_first_n
self.protect_last_n = protect_last_n
self.summary_target_tokens = summary_target_tokens
self.quiet_mode = quiet_mode
self.context_length = get_model_context_length(model)
self.context_length = get_model_context_length(model, base_url=base_url)
self.threshold_tokens = int(self.context_length * threshold_percent)
self.compression_count = 0
self._context_probed = False # True after a step-down from context error
self.last_prompt_tokens = 0
self.last_completion_tokens = 0