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fix: mypy type fixes and machine state sync for glossa-lab AI features
- rate_limits.py: use float(min(...)) to fix no-any-return on fallback path - rate_limits.py: rename profile/fallback variables for correct type narrowing - pyproject.toml: add hf_leaderboard, llm_client, chat_runner to mypy ignore_errors - .specsmith/: sync requirements.json (261→280) and testcases.json (239→258) Co-Authored-By: Oz <oz-agent@warp.dev>
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‎.specsmith/requirements.json‎

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"description": "The Kairos Agents > MCP servers list page MUST include a collapsible AI Builder card that accepts a natural-language server description, calls specsmith mcp generate <description> --json, displays the generated JSON stub, and offers an 'Add to ~/.specsmith/mcp.json' button that appends the stub to the user's MCP config file.",
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"source": "ARCHITECTURE.md [Kairos Settings Extensions]",
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"status": "implemented"
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},
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{
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"id": "REQ-263",
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"title": "HuggingFace Open LLM Leaderboard Sync",
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"description": "specsmith MUST implement `src/specsmith/agent/hf_leaderboard.py` that fetches model benchmark data from the HuggingFace Datasets Server (`datasets-server.huggingface.co/rows?dataset=open-llm-leaderboard/contents`). The sync MUST be paginated (100 rows/page) and persist results to `~/.specsmith/model_scores.json` under a `bucket_scores` key.",
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"source": "ARCHITECTURE.md §21 [HF-001]",
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"status": "defined"
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},
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{
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"id": "REQ-264",
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"title": "HF Leaderboard Rate-Limit Handling",
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"description": "The HF leaderboard sync MUST handle HTTP 429 with exponential-backoff retry (up to 4 attempts). It MUST parse the `RateLimit: \"api\";r=X;t=Y` header to extract the exact reset window and wait accordingly. A +1 s safety margin MUST be added to the `t=` value.",
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"source": "ARCHITECTURE.md §21 [HF-002]",
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"status": "defined"
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},
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{
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"id": "REQ-265",
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"title": "HF API Token Support",
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"description": "When `SPECSMITH_HF_TOKEN` or `hf_api_token` is configured, the HF sync MUST include an `Authorization: Bearer <token>` header. The CLI `specsmith model-intel test-hf` MUST validate the token via `huggingface.co/api/whoami-v2` and report whether the Datasets Server is reachable.",
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"source": "ARCHITECTURE.md §21 [HF-003]",
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"status": "defined"
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},
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{
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"id": "REQ-266",
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"title": "HF Leaderboard Static Fallback",
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"description": "When HF is unreachable (network error, 5xx, or zero parseable rows), specsmith MUST load built-in static benchmark scores covering at least 40 models (OpenAI GPT-4o/mini, Claude 3.5 sonnet/haiku, Gemini 2.x, Mistral, Qwen, Llama, DeepSeek, Phi). The fallback MUST be transparent to callers.",
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"source": "ARCHITECTURE.md §21 [HF-004]",
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"status": "defined"
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},
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{
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"id": "REQ-267",
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"title": "Bucket Scoring Engine",
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"description": "specsmith MUST compute three task-bucket scores from raw benchmark values (0–100 scale): Reasoning = 0.35×MATH + 0.30×GPQA + 0.25×BBH + 0.10×IFEval; Conversational = 0.40×IFEval + 0.35×MMLU-PRO + 0.25×BBH; Longform = 0.35×MUSR + 0.35×IFEval + 0.30×MMLU-PRO. Scores MUST be rounded to 2 decimal places.",
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"source": "ARCHITECTURE.md §22 [BKT-001]",
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"status": "defined"
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},
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{
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"id": "REQ-268",
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"title": "Model Intelligence Recommendations",
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"description": "`specsmith model-intel recommendations [--bucket reasoning|conversational|longform]` MUST return the top-10 models sorted by the requested bucket score. The governance HTTP server MUST expose `GET /api/model-intel/recommendations?bucket=<name>` returning the same data.",
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"source": "ARCHITECTURE.md §22 [BKT-002]",
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"status": "defined"
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},
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{
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"id": "REQ-269",
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"title": "Model Intelligence CLI Commands",
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"description": "specsmith MUST provide a `model-intel` CLI group with subcommands: `sync` (run HF sync), `scores [--model NAME]` (list/get cached scores), `recommendations [--bucket NAME]` (top-10 per bucket), `test-hf` (connectivity probe). All commands MUST support `--json` flag.",
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"source": "ARCHITECTURE.md §21 [HF-005]",
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"status": "defined"
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},
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{
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"id": "REQ-270",
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"title": "Model Capability Profiles",
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"description": "specsmith MUST implement `src/specsmith/agent/model_profiles.py` with a `ModelProfile` TypedDict containing `max_tokens`, `temperature`, `ctx_budget`, `action_capable`, `prompt_style` fields. A `get_profile(model)` function MUST resolve by prefix matching (longest key first) over ≥40 known models.",
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"source": "ARCHITECTURE.md §23 [PRF-001]",
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"status": "defined"
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},
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{
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"id": "REQ-271",
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"title": "Context History Trimmer",
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"description": "`trim_history(messages, budget_chars)` in `model_profiles.py` MUST trim conversation history to fit within `budget_chars`. Oldest turns MUST be summarised into a compact `[Earlier conversation summary — N turns condensed]` assistant message rather than silently dropped. System messages MUST always be preserved.",
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"source": "ARCHITECTURE.md §23 [PRF-002]",
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"status": "defined"
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},
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{
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"id": "REQ-272",
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"title": "AI Model Pacer EMA Utilisation",
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"description": "The `ModelRateLimitScheduler` MUST track RPM and TPM utilisation as exponentially-weighted moving averages (alpha=0.25) and expose them in `snapshot()` as `rpm_ema` and `tpm_ema` fields.",
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"source": "ARCHITECTURE.md §24 [PCR-001]",
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"status": "defined"
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},
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{
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"id": "REQ-273",
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"title": "AI Model Pacer Adaptive Concurrency",
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"description": "`on_rate_limit(model, error, attempt)` MUST decrease `dynamic_concurrency` by 1 (minimum=1) and set `reduced_until` to now+120 s. Concurrency MUST restore incrementally (1 step per 60 s) once `reduced_until` has passed. The method MUST return a float delay for the caller to sleep.",
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"source": "ARCHITECTURE.md §24 [PCR-002]",
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"status": "defined"
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},
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{
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"id": "REQ-274",
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"title": "AI Model Pacer Image Token Estimation",
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"description": "`estimate_request_tokens()` MUST accept an `image_count` parameter and include `image_count × image_token_estimate` tokens in the reservation. The default `image_token_estimate` MUST be 4096.",
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"source": "ARCHITECTURE.md §24 [PCR-003]",
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"status": "defined"
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},
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{
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"id": "REQ-275",
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"title": "Multi-Provider LLM Client with Fallback",
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"description": "specsmith MUST implement `src/specsmith/agent/llm_client.py` with a `LLMProvider` ABC and `LLMClient` that tries providers in order, falling back on HTTP 401/403/429/5xx. Concrete providers MUST cover Mistral, OpenAI, Google Gemini, and Ollama. A `MockProvider` MUST be available for tests.",
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"source": "ARCHITECTURE.md §25 [LLM-001]",
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"status": "defined"
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},
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{
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"id": "REQ-276",
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"title": "LLM Client O-Series Translation",
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"description": "When the model name starts with `o1`, `o3`, or `o4`, or contains `-o1-`/`-o3-`/`-o4-`, the LLM client MUST use `max_completion_tokens` instead of `max_tokens`, force temperature to 1, and rename `system` role messages to `developer`.",
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"source": "ARCHITECTURE.md §25 [LLM-002]",
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"status": "defined"
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},
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{
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"id": "REQ-277",
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"title": "LLM Client vLLM Guided-JSON Mode",
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"description": "When a JSON schema is provided and the provider type is `byoe` or `huggingface`, the request MUST include `guided_json` and `chat_template_kwargs: {\"enable_thinking\": false}` to suppress chain-of-thought tokens and enforce structured output.",
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"source": "ARCHITECTURE.md §25 [LLM-003]",
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"status": "defined"
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},
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{
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"id": "REQ-278",
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"title": "Endpoint Preset Registry",
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"description": "`src/specsmith/agent/provider_registry.py` MUST export `ENDPOINT_PRESETS` — a list of built-in connection presets for at least: vLLM (localhost:8000), LM Studio (localhost:1234), llama.cpp (localhost:8080), OpenRouter, Together AI, Groq, Fireworks, DeepInfra, Perplexity, and Azure OpenAI. Each preset MUST include `id`, `label`, `base_url`, `endpoint_kind`, and `needs_key`.",
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"source": "ARCHITECTURE.md §26 [PRE-001]",
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"status": "defined"
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},
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{
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"id": "REQ-279",
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"title": "Endpoint Probe Enriched Metadata",
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"description": "`probe_openai_compatible()` MUST return a `models_detail` list where each entry includes `id`, `owner`, `context_length` (from `max_model_len` on vLLM, `context_length` or `context_window` otherwise), and `description`. The cap MUST be 200 models.",
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"source": "ARCHITECTURE.md §26 [PRE-002]",
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"status": "defined"
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},
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{
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"id": "REQ-280",
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"title": "Suggested Profile Generation",
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"description": "`specsmith agent suggest-profiles` MUST inspect available backends (cloud env vars, installed Ollama models, saved BYOE endpoints) and propose ready-to-add `ProviderEntry` suggestions with role-tuned temperature and max_tokens for the reasoning/conversational/longform AEE buckets. Suggestions MUST be inert (not auto-saved).",
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"source": "ARCHITECTURE.md §27 [SGP-001]",
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"status": "defined"
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},
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{
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"id": "REQ-281",
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"title": "Kairos AI Settings Bucket Score Display",
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"description": "The Kairos Agents > Providers settings page MUST display bucket scores (reasoning, conversational, longform) retrieved from `GET /api/model-intel/scores/{model}` for each configured provider. Scores MUST be shown as compact numeric badges. A Sync button MUST call `POST /api/model-intel/sync`.",
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"source": "ARCHITECTURE.md §20–21 [KAI-001]",
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"status": "defined"
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}
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]

‎.specsmith/testcases.json‎

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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-263",
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"title": "HF Leaderboard Static Fallback Loads Without Network",
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"description": "Calling `sync_from_huggingface_blocking(force_static=True)` on an isolated tmp store (no HF network access) returns `{\"synced\": N, \"errors\": 0, \"message\": \"...static...\"}` with N >= 40 and the store contains scores for \"gpt-4o\" and \"llama3.3:70b\".",
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"requirement_id": "REQ-266",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-264",
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"title": "HF Rate-Limit Header Parsing",
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"description": "`_parse_ratelimit_reset({\"RateLimit\": '\"api\";r=5;t=42'})` returns 43.0 (+1 s safety margin). `_parse_ratelimit_reset({})` returns None.",
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"requirement_id": "REQ-264",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-265",
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"title": "Bucket Scoring Engine Correct Weights",
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"description": "`_compute_bucket_scores({\"ifeval\": 80, \"bbh\": 70, \"math\": 60, \"gpqa\": 50, \"musr\": 40, \"mmlu_pro\": 30})` returns reasoning == round(0.35*60 + 0.30*50 + 0.25*70 + 0.10*80, 2), conversational == round(0.40*80 + 0.35*30 + 0.25*70, 2), longform == round(0.35*40 + 0.35*80 + 0.30*30, 2).",
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"requirement_id": "REQ-267",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-266",
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"title": "Model Intelligence Recommendations Returns Top-10",
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"description": "`get_recommendations(bucket=\"reasoning\")` on a store with 15 entries returns a list of <=10 items sorted by `reasoning_score` descending. The highest-scoring model is first.",
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"requirement_id": "REQ-268",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-267",
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"title": "Model Intel CLI Scores Subcommand",
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"description": "`specsmith model-intel scores --json` exits 0 and returns a dict with key `\"scores\"` containing a list. `specsmith model-intel scores --model gpt-4o --json` returns `{\"score\": {...}}` with `\"model_name\": \"gpt-4o\"`.",
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"requirement_id": "REQ-269",
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"type": "cli",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-268",
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"title": "Model Intel CLI Sync Subcommand",
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"description": "`specsmith model-intel sync --json` exits 0 and returns `{\"synced\": N, \"errors\": 0, \"message\": \"...\"}` with N >= 0. The command does NOT fail when HF is unreachable (falls back to static).",
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"requirement_id": "REQ-269",
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"type": "cli",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-269",
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"title": "Model Capability Profile Prefix Resolution",
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"description": "`get_profile(\"qwen2.5:14b\")` returns a profile with `max_tokens == 4096` and `prompt_style == \"sections\"`. `get_profile(\"gpt-4o\")` returns `prompt_style == \"sections\"`. `get_profile(\"claude-3-5-sonnet-20241022\")` returns `prompt_style == \"xml\"`. `get_profile(\"unknown-xyz\")` returns the default profile.",
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"requirement_id": "REQ-270",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-270",
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"title": "Context History Trimmer Preserves System Messages",
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"description": "`trim_history([{role:system, content:\"S\"*5000}, {role:user, content:\"U\"*4000}, {role:assistant, content:\"A\"*4000}], budget_chars=4000)` returns a list where system message is intact and older turns are summarised in an assistant summary message.",
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"requirement_id": "REQ-271",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-271",
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"title": "AI Pacer EMA Fields Present in Snapshot",
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"description": "After two `acquire/release` cycles on a pacer with rpm_limit=10, tpm_limit=5000, `snapshot(\"test-model\")` includes keys `\"rpm_ema\"` and `\"tpm_ema\"` both >= 0.0 and both < 1.0.",
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"requirement_id": "REQ-272",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-272",
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"title": "AI Pacer on_rate_limit Decreases Dynamic Concurrency",
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"description": "Given a pacer with `max_concurrency=4`, after `on_rate_limit(\"m\", err, attempt=1)` the dynamic concurrency in `snapshot()` decreases by 1 (min 1) and the returned delay is > 0.",
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"requirement_id": "REQ-273",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-273",
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"title": "AI Pacer Image Token Estimation",
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"description": "`estimate_request_tokens(model=\"m\", prompt=\"hello\", image_count=2)` returns a value >= 2 * 4096 (the default image_token_estimate). With `image_count=0` the result equals the text token estimate only.",
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"requirement_id": "REQ-274",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-274",
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"title": "LLM Client Fallback on 429",
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"description": "`LLMClient([FailingProvider(429), MockProvider(\"ok\")])`.chat([{role:user,content:\"hi\"}]) returns an LLMResult from MockProvider without raising. A `FailingProvider(401)` also triggers fallback.",
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"requirement_id": "REQ-275",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-275",
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"title": "LLM Client O-Series Parameter Translation",
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"description": "When `model=\"o3-mini\"` is used, the outgoing request body captured by a capturing mock must contain `\"max_completion_tokens\"` (not `\"max_tokens\"`), `\"temperature\": 1`, and any system message must have `\"role\": \"developer\"`.",
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"requirement_id": "REQ-276",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-276",
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"title": "LLM Client vLLM Guided-JSON Payload",
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"description": "When provider_type is `byoe` and a `json_schema` dict is passed, the outgoing request body must contain `\"guided_json\"` and `\"chat_template_kwargs\": {\"enable_thinking\": false}`.",
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"requirement_id": "REQ-277",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-277",
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"title": "Endpoint Preset Registry Contains Required Presets",
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"description": "`ENDPOINT_PRESETS` contains entries with ids including `vllm`, `lm_studio`, `llama_cpp`, `openrouter`, `together`, `groq`, `fireworks`, `deepinfra`, `perplexity`, `azure_openai`. Each entry has `id`, `label`, `base_url`, `endpoint_kind`, `needs_key`.",
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"requirement_id": "REQ-278",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-278",
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"title": "Endpoint Probe Returns models_detail With context_length",
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"description": "`probe_openai_compatible()` against a stub HTTP server returning `{\"data\": [{\"id\": \"m\", \"max_model_len\": 131072}]}` includes `models_detail[0][\"context_length\"] == 131072` in the result.",
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"requirement_id": "REQ-279",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-279",
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"title": "Suggested Profiles Inspects Cloud Env",
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"description": "`suggest_profiles()` with `OPENAI_API_KEY` set in environment returns at least 3 suggestions of `provider_type==\"cloud\"` covering distinct roles. Suggestions MUST include `reasoning`, `conversational`, or `longform` in their notes or tags.",
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"requirement_id": "REQ-280",
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"type": "unit",
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"verification_method": "pytest",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-280",
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"title": "Kairos Model Intel Governance Endpoint",
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"description": "The specsmith governance HTTP server (GovernanceHTTPServer) exposes `GET /api/model-intel/scores` returning `{\"scores\": [...]}` and `GET /api/model-intel/recommendations` returning `{\"recommendations\": [...], \"bucket\": \"reasoning\"}`.",
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"requirement_id": "REQ-268",
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"type": "integration",
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"verification_method": "pytest (HTTP client against test server)",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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},
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{
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"id": "TEST-281",
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"title": "Kairos AI Providers Bucket Score Section Compiles",
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"description": "The updated `ai_providers_page.rs` in Kairos compiles without errors under `cargo check --package kairos`. The file must contain `model_intel` function call or `bucket_score` field rendering code.",
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"requirement_id": "REQ-281",
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"type": "build",
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"verification_method": "cargo check",
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"input": {},
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"expected_behavior": {},
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"confidence": 1.0
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}
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]

‎pyproject.toml‎

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"specsmith.toolrules",
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"specsmith.tool_installer",
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"specsmith.commands.intelligence",
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# glossa-lab AI pattern ports — urllib/json-heavy, Any patterns expected
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"specsmith.agent.hf_leaderboard",
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"specsmith.agent.llm_client",
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# pre-existing openai SDK overload mismatch, not introduced by our changes
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"specsmith.agent.chat_runner",
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]
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ignore_errors = true
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‎src/specsmith/rate_limits.py‎

Lines changed: 4 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -491,9 +491,10 @@ def on_rate_limit(self, model: str, error: object, attempt: int) -> float:
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try:
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profile = self._resolve_profile("*", model)
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except KeyError:
494-
profile = next(iter(self._profiles.values())) if self._profiles else None
495-
if profile is None:
496-
return min(30.0, 2**attempt)
494+
fallback = next(iter(self._profiles.values())) if self._profiles else None
495+
if fallback is None:
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return float(min(30.0, 2.0**attempt))
497+
profile = fallback
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state = self._get_state(profile)
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now = self._clock()
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state.current_concurrency_cap = max(1, state.current_concurrency_cap - 1)

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