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85c3909c2e
* feat: show real-time context window usage in chat UI (#3125) Adds a `context_usage` block to `GET /api/threads/{id}/token-usage` (token count from the live checkpoint, the thread model's `context_window`, and a percentage), introduces a new `ModelConfig.context_window` distinct from the per-call `max_tokens` output cap, and surfaces the percentage in the chat header — inside `TokenUsageIndicator` when token-usage tracking is on, or as a standalone badge when it's off so context capacity stays visible independent of cost tracking. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: per-category breakdown for context window usage Replace the single-number context_usage payload with a Claude-Code-style breakdown — messages, system prompt, skills, system/MCP tools (active + deferred), custom agents, memory injection, autocompact buffer, and free space — and surface it in the chat UI with a segmented progress bar and per-row table. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs(config): document context_window across model examples Add `context_window` to every example model in config.example.yaml so the new chat-UI "% context used" indicator works out of the box for whichever example a user adopts. Each value is the published default at the time of writing; users are pointed at the official model spec to verify. Bumps config_version to 11 so `make config-upgrade` flags outdated user configs. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * style: ruff format (line-length 240) No behavior change — collapses two multi-line expressions that fit on one line under the project's 240-char limit. Picked up by `make format`. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * review: address Copilot bot comments on #3183 - token-usage-indicator: switch `{contextPercentage && (...)}` to an explicit `!= null` check. (The string `"0"` is actually truthy in JS so the original code wasn't buggy, but the explicit check is clearer.) - context-usage-breakdown: drop the `useMemo` around segments/totals — the computation is O(n) over a handful of rows and the previous memo deps omitted `t.contextUsage.categories`, so the bar's tooltips/aria-labels could stay in the old language after a locale switch. - context_usage._split_tools: snapshot MCP names from `get_cached_mcp_tools()` directly instead of re-reading `extensions_config.json` after `get_available_tools()` already loaded it. Removes redundant file I/O on every `/token-usage` poll. (`get_available_tools()` still emits its own INFO logs — silencing those is out of scope here.) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * style(frontend): prettier --write context-usage-breakdown CI's `pnpm format` (prettier --check) caught two lines previously formatted by hand. Collapses one comma to fit on one line; no behavior change. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(gateway): correct context-usage breakdown + add exact token counting The context-usage indicator shipped two bugs that silently zeroed whole breakdown rows (both caught by try/except, so the feature looked alive but produced wrong numbers): 1. _count_system_prompt passed app_config= to get_deferred_tools_prompt_section, which only accepts deferred_names -> TypeError swallowed -> system_prompt row always 0, and used_tokens/percentage undercounted by the full prompt. Also subtracted the deferred section twice (the rendered prompt already excluded it). Fix: derive deferred names deterministically and pass them to apply_prompt_template; drop the redundant subtraction. 2. _split_tools imported a non-existent get_deferred_registry -> ImportError swallowed -> all four tool-category rows always 0. Fix: classify via the public is_mcp_tool predicate + tool_search.enabled (mirrors build_deferred_tool_setup); the MCP tag is set by get_available_tools. Added token_usage.counting (approximate|exact). 'exact' routes text/schema/ message counting through the model tokenizer (tiktoken cl100k_base) via the existing memory-module machinery (lazy load + cache + cooldown + CJK-aware fallback), so CJK-heavy threads stop being undercounted by chars//4. Regression + e2e tests added; 6621 backend tests pass. * fix(gateway): harden context usage accounting * fix(gateway): count promoted MCP tools as active in context usage Promoted tools (deferred MCP tools the thread has fetched via tool_search) have their full schema bound on every subsequent turn by DeferredToolFilterMiddleware, so they consume context like any active tool. The breakdown previously left them in the reserved *_deferred rows, under- counting the thread's used_tokens. Classification now treats a tool as deferred only when tool_search is enabled, it is MCP-sourced, AND it has not been promoted. The promoted set is read from the checkpoint's channel_values and scoped by catalog hash — matching the runtime middleware, so a stale promotion from MCP-config drift cannot inflate the active count. The static system prompt still lists all deferred tool names (promotions only affect schema binding, not the prompt), so _count_system_prompt's deferred rendering is intentionally left unchanged. 8 new tests cover classification, catalog-hash scoping (match / drift / compute-failure / malformed), and checkpoint extraction. * fix(context): address review feedback * fix(context): count structured message payloads * fix(context): harden usage accounting * fix(config): bump schema for context usage fields * refactor: narrow context usage to core indicator --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
import pytest
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from pydantic import ValidationError
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from deerflow.config.model_config import ModelConfig
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def _make_model(**overrides) -> ModelConfig:
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return ModelConfig(
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name="openai-responses",
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display_name="OpenAI Responses",
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description=None,
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use="langchain_openai:ChatOpenAI",
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model="gpt-5",
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**overrides,
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)
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def test_responses_api_fields_are_declared_in_model_schema():
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assert "use_responses_api" in ModelConfig.model_fields
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assert "output_version" in ModelConfig.model_fields
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def test_responses_api_fields_round_trip_in_model_dump():
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config = _make_model(
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api_key="$OPENAI_API_KEY",
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use_responses_api=True,
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output_version="responses/v1",
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)
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dumped = config.model_dump(exclude_none=True)
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assert dumped["use_responses_api"] is True
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assert dumped["output_version"] == "responses/v1"
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def test_context_window_round_trips_when_positive():
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assert _make_model(context_window=128_000).context_window == 128_000
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@pytest.mark.parametrize("context_window", [0, -1])
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def test_context_window_rejects_non_positive_capacity(context_window):
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with pytest.raises(ValidationError, match="context_window"):
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_make_model(context_window=context_window)
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