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The user-visible /compress banner and the post-compression last_prompt_tokens writeback both counted only the raw message transcript (chars/4). With a 15KB system prompt and 30 tool schemas (~26KB), a 4-message transcript that looks like ~45 tokens to the transcript-only estimator is really ~10.5K tokens of request pressure — a 234x gap. Two user-facing consequences: - Banner shows 'Compressing … (~45 tokens)…' while compression is actually firing on 10K+ tokens of real pressure, confusing users about why compression triggered (reported by @codecovenant on X; #6217). - Post-compression last_prompt_tokens writeback omits tool schemas, so the next should_compress() check compares real usage against a stale underestimate — compression triggers late, potentially past the model's context limit on small-context models (#14695). Swap estimate_messages_tokens_rough() for estimate_request_tokens_rough() at every user-visible banner and at the post-compression writeback. estimate_request_tokens_rough() already existed for exactly this purpose and includes system prompt + tool schemas. Touched call sites: - run_agent.py: post-compression last_prompt_tokens writeback, post-tool call should_compress() fallback when provider usage is missing - cli.py: /compress banner + summary - gateway/run.py: gateway /compress banner + summary - tui_gateway/server.py: TUI /compress status + summary - acp_adapter/server.py: ACP /compact before/after Left intentionally alone: - Session-hygiene fallback and the 'no agent' /status path in gateway/run.py — no agent instance is in scope to query for system prompt/tools, and the existing 30-50% overestimate wobble on hygiene is safety-accepted. - Verbose-mode 'Request size' logging — informational only, already counts system prompt via api_messages[0]. Also relabels the feedback line from 'Rough transcript estimate' to 'Approx request size' so the metric label matches what it actually measures. Credits: diagnoses from @devilardis (#14695) and @Jackten (#6217); user report @codecovenant on X (2026-04-30). Closes #14695 Closes #6217 |
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| .. | ||
| transports | ||
| __init__.py | ||
| account_usage.py | ||
| anthropic_adapter.py | ||
| auxiliary_client.py | ||
| bedrock_adapter.py | ||
| codex_responses_adapter.py | ||
| context_compressor.py | ||
| context_engine.py | ||
| context_references.py | ||
| copilot_acp_client.py | ||
| credential_pool.py | ||
| credential_sources.py | ||
| curator.py | ||
| display.py | ||
| error_classifier.py | ||
| file_safety.py | ||
| gemini_cloudcode_adapter.py | ||
| gemini_native_adapter.py | ||
| gemini_schema.py | ||
| google_code_assist.py | ||
| google_oauth.py | ||
| image_gen_provider.py | ||
| image_gen_registry.py | ||
| image_routing.py | ||
| insights.py | ||
| lmstudio_reasoning.py | ||
| manual_compression_feedback.py | ||
| memory_manager.py | ||
| memory_provider.py | ||
| model_metadata.py | ||
| models_dev.py | ||
| moonshot_schema.py | ||
| nous_rate_guard.py | ||
| onboarding.py | ||
| prompt_builder.py | ||
| prompt_caching.py | ||
| rate_limit_tracker.py | ||
| redact.py | ||
| retry_utils.py | ||
| shell_hooks.py | ||
| skill_commands.py | ||
| skill_preprocessing.py | ||
| skill_utils.py | ||
| subdirectory_hints.py | ||
| title_generator.py | ||
| tool_guardrails.py | ||
| trajectory.py | ||
| usage_pricing.py | ||