oh-my-pi/packages/catalog/CHANGELOG.md

Changelog

[Unreleased]

[17.2.2] - 2026-07-31

Added

• Added support for the GMI Cloud provider (gmi-cloud), an OpenAI-compatible inference gateway with dynamic model discovery and API-key authentication via the GMI_API_KEY environment variable.
• Added optional authoritative context occupancy to usage records for providers with separate checkpoint telemetry and billable token buckets.

Fixed

• Fixed classification of dynamically discovered Cursor Kimi K3 effort variants as non-reasoning models when thinkingDetails is omitted.
• Fixed Google AI Studio OpenAI-compatible requests failing with HTTP 400 by omitting the unsupported store field.
• Fixed Synthetic models losing capabilities (such as reasoning/thinking selectors, vision input, output limits, and pricing) by correcting how the discovery mapper parses Synthetic's advertised features, effort vocabularies, and pricing structures.
• Fixed Cursor model discovery to correctly expose the 1M-token context window for supported models (including Claude, GPT, Kimi K3, and GLM 5.2+ families) instead of defaulting to 200k.
• Fixed GitHub Copilot routing for grok-4.5 to use the correct Responses endpoint instead of the unsupported Chat Completions endpoint.

[17.2.1] - 2026-07-30

Fixed

• Fixed Ollama model-manager caches being reused after the configured base URL changed by scoping cache namespaces to the normalized native discovery endpoint, including reverse-proxy path prefixes (#7087).

[17.2.0] - 2026-07-30

Added

• Regenerated the Cursor agent protobufs (discovery/cursor-gen/agent_pb.ts) against the modern agent.proto, adding the message and enum families current Cursor CLI builds emit: Pi tool exec frames, hook queries and responses, subagents, allowlist prechecks, MCP state, smart-mode classification, canvas diagnostics, conversation search, agent-store conflicts and git diff. Purely additive — no existing exported symbol changed shape.

Fixed

• Fixed an issue where LM Studio first turns failed with a 400 Invalid tool_choice error when a named tool was forced, by using the supported tool_choice: "required" string selector.

[17.1.8] - 2026-07-28

Added

• Added resolveVertexEndpointHost(location) utility to resolve the correct Vertex AI API endpoint hostnames for global, multi-region, and regional locations.

Fixed

• Fixed an issue where calculateCost under-reported Anthropic cache-write costs by honoring the usage.cttl breakdown to correctly price 1-hour retention writes at 2x the base input rate.

[17.1.7] - 2026-07-27

Added

• Added support for moonshotai/Kimi-K3 and kimi-k3-fast models
• Added umans-kimi-k3 prerelease model configuration

Changed

• Updated pricing and token limits for selected models

[17.1.6] - 2026-07-27

Added

• Added SiliconFlow providers (siliconflow, siliconflow-cn) with dynamic-only OpenAI-compatible model discovery: no bundled catalog — the model list is fetched live from each region's /v1/models endpoint, with non-chat entries (embedding, reranker, image, audio, video) filtered out. Discovery hydrates pricing, context/output limits, and reasoning metadata from the provider's models.dev catalog at runtime (with bundled upstream references as a reasoning-only fallback for ids models.dev has not indexed), so reasoning models keep thinking enabled and sessions compact against real context windows. SILICONFLOW_API_KEY / SILICONFLOW_CN_API_KEY environment variables are wired into getEnvApiKey.

[17.1.5] - 2026-07-27

Fixed

• Fixed Kimi Code (kimi-code) reporting maxTokens: 32000 for every model — its /coding/v1/models discovery mapper and the bundled catalog applied a blanket constant, truncating k3/k3-256k output at ~4x below their real 131072 ceiling and kimi-for-coding/kimi-for-coding-highspeed below their 32768 ceiling. Output caps are now derived per family, and the model cache is invalidated so upgrades drop the stale maxTokens: 32000 rows (including the discovery-only k3-256k) instead of serving them until the next network refresh (#6711).
• Fixed Anthropic model discovery 404ing when the registry derived the provider base URL from a bundled model without the /v1 suffix (https://api.anthropic.com/models instead of /v1/models), which let a stale text-only cache row shadow fresh models.dev vision metadata — surfacing as snapcompact refusing to run on claude-opus-5. Discovery now always targets /v1/models while model rows keep the provider base URL (#6563).

[17.1.4] - 2026-07-26

Added

• Added Claude Opus 5 model entries for Amazon Bedrock: anthropic.claude-opus-5 plus its us., eu., au., and global. regional/geo IDs.

Fixed

• Fixed alibaba-token-plan locking out China (Beijing) 百炼 Token Plan subscribers: the provider hardcoded the international Singapore endpoint, so Beijing-issued sk-sp- keys got 401 invalid_api_key. The wire credential now carries an optional region base URL, and model discovery targets the credential's region (#6682).
• Fixed forced tool_choice 400s (tool_choice 'specified' is incompatible with thinking enabled) on Kimi Code's Anthropic-compatible endpoint for the kimi-for-coding, kimi-for-coding-highspeed, and k3 aliases: the Anthropic-surface compat matcher only recognised Moonshot's native kimi-k2.7-code* ids, so thinking-locked kimi-code models kept supportsForcedToolChoice: true and the forced selector was sent to a host that always thinks. These models now resolve requiresThinkingEnabled, keeping thinking on and downgrading forced choices to auto.
• Retried empty successful provider discovery responses after the short non-authoritative interval instead of caching them for the full catalog TTL (#6620).
• Fixed GitHub Copilot Claude models with no bundled catalog reference (e.g. a freshly served claude-opus-5) discovering with reasoning: false/thinking: null and no effort dial, and disappearing along with their synthesized -1m sibling on offline reads: reference-less Copilot models on the anthropic-messages proxy now derive the adaptive reasoning ladder from the model id, and the cache restores their compile-time COPILOT_API_HEADERS by value instead of dropping them as unrestorable (#6664).

[17.1.3] - 2026-07-24

Fixed

• Disabled the first-event watchdog for local OpenAI-compatible backends while retaining the 300-second inter-event watchdog, so long llama.cpp prompt prefill is not canceled and retried (#6524).

[17.1.1] - 2026-07-24

Added

• Added catalog metadata for models that support native computer-use requests.
• Added resolved Bedrock Converse prompt-cache compatibility limits, including explicit 5-minute checkpoint support for bundled Nova Lite, Micro, Pro, Premier, and Nova 2 Lite models plus their documented in-region, regional, and global IDs, and model-specific 1-hour Claude retention.
• Added resolved Bedrock Converse prompt-cache compatibility limits, including explicit 5-minute checkpoint support for bundled Nova Lite, Micro, Pro, and Premier models plus Nova Premier's documented in-region model ID, and model-specific 1-hour Claude retention.
• Added the native Meta Model API provider and Muse Spark 1.1 with Responses API reasoning replay, image input, and the full supported reasoning-effort ladder (#4941).
• Added an opt-in Vercel AI Gateway automatic prompt-cache compatibility option alongside provider routing preferences.
• Added Vercel AI Gateway Responses cache-anchor and cache-lifetime compatibility controls.
• Added resolved OpenAI GPT-5.6 prompt-cache breakpoint capability metadata, keeping older models and compatible endpoints opt-in only.
• Added the native alibaba-token-plan provider with QwenCloud Token Plan Individual discovery and a curated chat-model fallback catalog (#6151).

[17.1.0] - 2026-07-24

Added

• Added Bedrock Converse prompt-cache compatibility limits, including 5-minute checkpoint support for Nova models (Lite, Micro, Pro, Premier, Nova 2 Lite) and 1-hour Claude retention.
• Added native Meta Model API provider and Muse Spark 1.1 support, featuring Responses API reasoning replay, image input, and reasoning-effort controls.
• Added Vercel AI Gateway integration features, including opt-in automatic prompt-cache compatibility, provider routing preferences, and Responses cache-anchor and cache-lifetime controls.
• Added prompt-cache breakpoint capability metadata for OpenAI GPT-5.6, with opt-in support for older models and compatible endpoints.
• Added native alibaba-token-plan provider with QwenCloud Token Plan Individual discovery and a curated chat-model fallback catalog.

[17.0.9] - 2026-07-23

Changed

• Renamed codex-auto-review model to GPT-5.3 Codex Spark with updated pricing and capabilities
• Removed image input support from GPT-5.3 Codex Spark (text-only)
• Reduced GPT-5.3 Codex Spark context window from 272K to 128K tokens
• Changed GPT-5.3 Codex Spark thinking efforts from ["minimal", "low", "medium", "high", "xhigh"] to ["low", "medium", "high", "xhigh"]
• Updated pricing for multiple AI models across providers (costs adjusted in models.json)
• Reduced max output tokens for an unspecified model from 16384 to 8192
• Added image input support to Venice AI text model

[17.0.8] - 2026-07-22

Added

• Added support for several new models across multiple providers, including MiniMax M3, Gemini 3.5 Flash Lite, Gemini 3.6 Flash (with thinking support), Hy3, Doubao-Seed-Character, LongCat 2.0, Laguna S 2.1 (free and paid tiers), Qwen 3.6 35B A3B, SWE-1.6 Slow (devin agent catalog), and XiaomiMiMo/MiMo-V2.5.

Changed

• Updated Grok 4.5 API type to "openai-responses" and updated "o3-mini" to support thinking capabilities with the "kimi" thinking format.
• Renamed OpenRouter-specific models and routers to include "OpenRouter" in their names (e.g., "OpenRouter Auto Router (Beta)", "OpenRouter Body Builder (beta)", and "OpenRouter Pareto Code Router").
• Updated context window sizes, costs, and token limits for numerous models.

Fixed

• Fixed an issue where GPT-5.6 Codex SKUs lost usable context window capacity due to dynamic discovery values overwriting bundled limits.
• Fixed OpenAI Codex discovery dropping account-listed ChatGPT-only models (such as GPT-5.3 Codex Spark) when they are unavailable through the public API.
• Fixed Codex catalog discovery hiding models when multiple OAuth accounts are configured by independently fetching and merging catalogs from all accounts.
• Fixed cached models reusing a bundled request model (such as GitHub Copilot long-context variants) being incorrectly flagged as unrestorable and dropped after a restart.
• Fixed LM Studio discovery reporting a model's theoretical maximum context length instead of the actual loaded context window size of the running instance.

Removed

• Removed several deprecated model families from the devin catalog, including Claude Fable 5, Claude Opus 4.6/4.7, Claude Sonnet 4.6/5, DeepSeek V4 Pro, Gemini 3.1 Pro, Gemini 3.5 Flash, GLM-5.2, SWE-1.6, and Nemotron 3 Ultra.
• Removed GPT-5 through GPT-5.3 Codex variants and GPT-5.4 nano from the openai-codex catalog.

[17.0.6] - 2026-07-20

Added

• Added static fallback seed for Devin's swe-1-7 model so it is bundled even when catalog generation runs without a Devin session token.

Fixed

• Collapsed Devin's six GLM-5.2 variants into two logical entries (glm-5-2 for 200K free, glm-5-2-1m for 1M paid). The 200K entry routes every thinking effort to the free glm-5-2 wire UID — never to the quota-gated glm-5-2-max or glm-5-2-none — so GLM-5.2 works even when the weekly usage quota is exhausted.

[17.0.5] - 2026-07-18

Added

• Added an Anthropic compatibility flag to allow non-official OAuth endpoints to opt into configured Claude Code fingerprint header overrides.

Fixed

• Fixed a security issue where sensitive provider-defined request headers (such as API keys or credentials) were serialized in plaintext within the model cache (models.db). The cache now omits these headers, securely invalidates older cached rows, and restores or refetches them dynamically.
• Fixed OpenAI Codex discovery to respect caller-supplied fetch configurations (such as proxies or custom CAs) and correctly replace stale bundled models with the authenticated account catalog.
• Fixed stream timeouts and retry loops during long prefills on local loopback or RFC1918 backends (such as litellm proxies fronting local servers) by applying the local stream-timeout floor to these backends.
• Fixed Kimi K3 models served through generic OpenAI-compatible routes exposing unsupported reasoning efforts instead of the mandatory low/high/max scale.

[17.0.4] - 2026-07-18

Changed

• Kimi-family models now use MFJS tool schema on all hosts, including proxies like OpenRouter that forward schemas to Moonshot

[17.0.3] - 2026-07-17

Fixed

• Logged LiteLLM rich-metadata endpoint failures once with their endpoint and status before falling back to incomplete /v1/models data (#5801).
• Fixed authenticated Kimi Code discovery to preserve live effort levels, default effort, mandatory-thinking state, and per-model protocol metadata (#5893).
• Fixed LiteLLM provider ignoring per-model pricing: mapLiteLLMRichEntry now reads input_cost_per_token / output_cost_per_token (plus cache costs) from LiteLLM rich metadata and maps them to cost.input / cost.output, falling back to the bundled reference only when LiteLLM omits cost, so proxied models no longer display as free (#5818).

[17.0.2] - 2026-07-17

Changed

• Increased the maximum output tokens (maxTokens) from 32,768 to 65,536 for Kimi K2.7-Code models on Fireworks.

Fixed

• Fixed a regression where the context window for openai-codex GPT-5.6 models (Luna, Sol, Terra) incorrectly fell back to 272,000 instead of preserving its 372,000 capacity.
• Fixed Umans PAYG models incorrectly displaying as "Free" in /models by correctly sourcing their published per-token rates.
• Fixed native moonshot/kimi-k3 capabilities and pricing, ensuring it correctly reflects its official pricing, 1M context window, image input support, reasoning capabilities, and 128k output token limit.

[17.0.1] - 2026-07-16

Added

• Added GPT-5.6 Luna, Sol, and Terra entries for Amazon Bedrock, Azure, and Cloudflare
• Added KAT-Coder Air/Pro V2.5 entries across Kilo, OpenRouter, NanoGPT, and Vercel
• Added Inkling model entries for Baseten and Vercel AI Gateway
• Added Umans DeepSeek V4 Pro DSpark as an experimental model listing
• Added Claude Opus 4.7 Fast and 4.8 Fast on Vercel AI Gateway
• Added Workers AI GLM-5.2, Muse Spark 1.1, Stealth GPT-5.6 Sol, and nano-gpt-help entries

Changed

• Added image input and reasoning support to several existing Codeium and Kilo GPT-5.6 models
• Enabled image input and reasoning for Gemini Flash Latest and Grok 4.5
• Renamed many model labels for consistency, including Claude, Grok, DeepSeek, GLM, and Gemi­ni names
• Updated pricing for many existing models, including input, output, and cache cost values
• Updated context window and max token limits for many catalog models across providers

Fixed

• Fixed Z.AI (GLM) coding-plan token costs all showing as "Free" in /models: the zai provider descriptor sourced the models.dev zai-coding-plan key (all-$0 subscription rates) instead of the zai pay-as-you-go key, which carries the real per-token rates for the identical GLM ids (#5598).
• Fixed custom Anthropic endpoints receiving the first-party-only eager_input_streaming tool field by default (#5572).
• Added resolved OpenAI sampling-parameter compatibility metadata for o-series and GPT-5+ models.
• Fixed GitHub Copilot mai-code-1-flash-picker (and other mai-* models) to route through the /responses endpoint instead of /chat/completions, which rejected them with 400 unsupported_api_for_model (#5612).
• Extended the reasoning streamIdleTimeoutMs floor (300s) to native Kimi K2.7 Code (kimi-k2.7-code / kimi-k2.7-code-highspeed), which previously fell through to the 120s default and aborted on long reasoning turns (#4836).
• Fixed GLM-5.x coding-plan streams via the OpenCode Go/Zen gateways (opencode.ai/zen/…) timing out with OpenAI completions stream stalled while waiting for the next event during slow plan-writing/reasoning phases. The 600s idle-timeout floor for GLM coding-plan SKUs was gated to the native Z.AI/Zhipu hosts only, so OpenCode-fronted GLM fell back to the 120s default watchdog. (#4758)

[16.5.2] - 2026-07-14

Fixed

• Fixed OpenCode Zen and Go discovery to replace stale bundled models with each provider's live model catalog.

[16.5.1] - 2026-07-14

Fixed

• Fixed reasoning effort mapping for Z.ai GLM-5.2 on the Anthropic messages endpoint to correctly use the two-tier scale (high, max) and emit output_config.effort.
• Fixed an issue where stale cached model limits would override updated static catalog limits after a catalog fingerprint mismatch.
• Fixed Cursor discovery to correctly preserve GetUsableModels max-mode metadata for premium models and invalidate stale cache entries.

[16.4.3] - 2026-07-11

Fixed

• Fixed parsing of SAP AI Core Claude model IDs in version-first format (e.g., anthropic--claude-4.8-opus), restoring adaptive thinking metadata and capability gates.
• Fixed GitHub Copilot Business and Enterprise model discovery to correctly preserve vision capabilities instead of downgrading models to text-only.

[16.4.2] - 2026-07-10

Fixed

• Fixed OpenAI Codex model discovery to include the Codex version header alongside the client_version query parameter.

[16.4.1] - 2026-07-10

Added

• Added GPT-5.6 Luna, Sol, and Terra models
• Added perplexity-academic-researcher model

Changed

• Updated context windows for multiple GPT-5.6 models
• Increased max tokens for several models
• Updated cache write costs for GPT-5.6 variants
• Reduced pricing for select models

Removed

• Removed the generated GPT-5.6 pro-reasoning aliases (gpt-5.6-{luna,sol,terra}-pro) from the openai-codex subscription provider — pro reasoning is not offered on subscriptions; the openai API-key aliases remain

[16.4.0] - 2026-07-10

Breaking Changes

• Redesigned reasoning effort ladders to be wire-exact, removing the shifted five-tier effort mapping. Models now expose exactly the effort tiers their upstream APIs accept, mapped 1:1. Removed SHIFTED_FIVE_TIER_EFFORT_MAP, ANTHROPIC_ADAPTIVE_EFFORT_MAP_4_TIER, and per-host xhigh-to-max alias maps. Selecting an unsupported tier now automatically clamps down via clampThinkingLevelForModel. Devin effort routing is now mapped 1:1 onto per-tier siblings.

Added

• Added support for new models: Grok 4.5 family, Dolphin Mistral 24b Venice Edition, GLM5.2-Fast, and Zenmux variants for GPT-5.6 (Luna, Sol, and Terra).
• Added Novita as a model provider, including public catalog discovery, pricing, limits, modality, reasoning, and tool metadata.
• Added useResponsesLite to Model and ModelSpec to support the Responses Lite transport, enabled by default for the GPT-5.6 family.
• Added Effort.Max ("max") as a first-class user-facing thinking level above xhigh.

Changed

• Enabled reasoning effort controls for Grok 4.5 and updated support flags for additional Grok variants
• Standardized reasoning effort levels to use a wire-exact max tier across all model providers, including Devin routing and Ollama configurations.
• Updated costs and context windows for various models in the catalog.

[16.3.15] - 2026-07-09

Added

• Added support for Grok 4.5 model
• Added gpt-5.6 base models and gpt-5.6-{luna,sol,terra}-pro variants
• Added meta/muse-spark-1.1 model support
• Added support for thinking modes on poolside/laguna models
• Added generated GPT-5.6 Pro aliases (gpt-5.6-{luna,sol,terra}-pro) on the openai and openai-codex providers: each alias sends the base model id on the wire (requestModelId) with the new reasoningMode: "pro" marker, and re-derives from the current base rows on every catalog regeneration.

Changed

• Updated cache read costs for Grok models
• Reduced max token limit for Grok 4.3 model
• Enabled prompt cache affinity for Grok models via the x-grok-conv-id header in OpenAI compatible endpoints
• Enabled prompt cache affinity for Grok models via the x-grok-conv-id header
• Marked direct xAI Grok Chat Completions models for x-grok-conv-id prompt-cache affinity.

[16.3.14] - 2026-07-09

Added

• Added support for GPT-5.6 (Luna, Sol, Terra) model variants
• Enabled expanded five-tier reasoning effort scale (minimal to xhigh) for GPT-5.6 models
• Added GPT-5.6 (Terra/Luna/Sol) support for the new max reasoning tier: on wire-effort APIs (OpenAI Responses, Codex, Azure, openai-compat/OpenRouter models that advertise reasoning) user efforts shift up one notch — xhigh sends max, high sends xhigh — mirroring the Claude Fable/Opus 4.7+ five-tier mapping, and the exposed ladder becomes minimal..xhigh with minimal reaching the native low tier. Devin's per-tier GPT-5.6 sibling rows now collapse into gpt-5-6-{luna,sol,terra} logical models with the same shifted routing (xhigh → -max), plus -fast families that keep the direct low..xhigh -priority scale since Devin serves no -max-priority tier.

[16.3.13] - 2026-07-09

Added

• Added support for Grok 4.5 across multiple providers
• Added support for GPT-5.6 series models (Luna, Sol, Terra)
• Added Aion 3.0 and 3.0 Mini models
• Added Kuaishou KAT-Coder v2.5 models
• Added Nex-N2-Mini and SWE-1.7 series models
• Added Hy3 models and free variants

Changed

• Updated cost and token configurations for various models across providers
• Renamed several models for consistency (e.g., MiniMax M3, Gemma 4 31B, Qwen variants)

[16.3.12] - 2026-07-08

Fixed

• Fixed LiteLLM discovery stopping at /model_group/info when that endpoint omitted supports_vision; it now continues to /model/info and preserves model_info.supports_vision=true for vision-capable proxy models. (#4747)
• Fixed LiteLLM discovery to fall back to bundled catalog metadata when models.dev lacks a model reference, preserving reasoning and thinking support for models such as glm-5.2. (#4695)
• Detected Azure AI Inference / Foundry Anthropic routes as strict-tool-incompatible so resolved Anthropic compat disables strict tools before request construction (#4679).

[16.3.11] - 2026-07-06

Added

• Added Claude Haiku 4.5 (JP) model support
• Added tencent/hy3 model support via ZenMux

Changed

• Updated naming format for various synthetic models to include provider prefix
• Adjusted context window limit for MiniMax-M3 model
• Updated pricing for select models

[16.3.10] - 2026-07-06

Fixed

• Fixed LiteLLM rich discovery to ignore unusable sentinel placeholders and continue to /v2/model/info for real models. (#4655)

[16.3.9] - 2026-07-06

Fixed

• Fixed compatibility with OpenCode Go DeepSeek V4 models by sending max_tokens instead of max_completion_tokens to match the provider's API requirements.

[16.3.7] - 2026-07-05

Fixed

• Fixed usage cost calculation to correctly account for provider orchestration token sidecars without misclassifying them as standard input, output, or cache tokens.

[16.3.4] - 2026-07-03

Added

• Added Baseten as a supported model provider
• Added support for new models from Baseten, including DeepSeek V4 Pro and Kimi series
• Added new Devin agent models: Claude 5 Fable variants
• Added new Github Copilot models: Kimi K2.7 Code and MAI-Code-1-Flash
• Added Poolside Laguna XS 2.1 models via Kilo and OpenRouter providers
• Added support for Claude Fable 5 (Free) via Zenmux provider

Changed

• Updated priority ordering to include Baseten
• Updated pricing and limits for various existing models in the catalog

[16.3.3] - 2026-07-02

Fixed

• Extended Anthropic-compatible signing-endpoint recognition to Cloudflare AI Gateway, Google Vertex, AWS Bedrock, and Azure AI Inference / Foundry to ensure consistent reasoning-replay and signature-stripping behavior, and exposed ResolvedAnthropicCompat.signingEndpoint in the public API.
• Fixed Zhipu Coding Plan runtime discovery to prioritize account-scoped model lists over bundled fallback models, preventing routing errors for valid non-z.ai keys.

[16.3.2] - 2026-07-02

Fixed

• Fixed ZenMux model discovery to run without a ZENMUX_API_KEY, so newly published ZenMux models (for example anthropic/claude-fable-5-free) auto-update into the runtime models.db cache instead of waiting on a regenerated models.json.
• Fixed ZenMux runtime discovery to query the /api/v1/models endpoint even when the resolved provider base URL points at the Anthropic-compatible route, so discovery no longer requests a non-existent /api/anthropic/models path.

[16.3.1] - 2026-07-02

Removed

• Removed reasoning suppression prompt logic for GPT-5 models

[16.3.0] - 2026-07-02

Breaking Changes

• Renamed the requiresJuiceZeroHack compatibility flag to requiresReasoningSuppressionPrompt (affecting OpenAICompat and ResolvedOpenAIResponsesCompat) and removed the unused "juice-zero-developer-message" member from OpenAIReasoningDisableMode.

Fixed

• Fixed stream markup healing pattern misfires by disabling the healer on the official OpenAI endpoint.
• Updated the Xiaomi provider's default model to the supported mimo-v2.5 model.
• Fixed model discovery probes (including Ollama and metadata fetches) failing behind private-CA gateways by ensuring they honor the NODE_EXTRA_CA_CERTS environment variable.
• Fixed CoreWeave Serverless Inference project-header detection to ensure blank OpenAI-Project overrides do not block the COREWEAVE_PROJECT fallback.
• Fixed LiteLLM MiniMax M3 discovery to remove reseller-only display suffixes and invalidated the model cache to clear stale suffixes immediately.
• Fixed ZenMux's anthropic-messages proxy being misclassified as a non-signing reasoning endpoint (replayUnsignedThinking: true), matching the GitHub Copilot fix (#2851). ZenMux's zenmux.ai/api/anthropic route forwards to signature-enforcing Anthropic, so replaying a stripped/unsigned historical thinking block as signature: "" — most visibly an end_turn-bound checkpoint/branch-return turn whose signature the transform must strip — caused 400 messages.1.content.0: Invalid signature in thinking on Claude Sonnet 5 and other reasoning models. (#4192)

[16.2.13] - 2026-07-01

Added

• Added support for human-readable reasoning summaries on compatible OpenAI Codex models (v5.4+)

Fixed

• Fixed discovered OpenAI Codex models to advertise V2 streaming remote compaction, avoiding the legacy compact endpoint timeout path for Codex sessions. (#4146)

[16.2.12] - 2026-07-01

Breaking Changes

• Removed runtime canonical-equivalence APIs from the identity module, including resolveCanonicalVariant, buildCanonicalModelOrder, CanonicalVariantPreferences, and getBundledCanonicalReferenceData. These utilities have been transitioned to a build-time generator script and are no longer exposed in the runtime bundle.

[16.2.11] - 2026-07-01

Fixed

• Fixed a potential memory leak caused by dangling timeout timers during model discovery in OpenAI-compatible, vLLM, LiteLLM, and LM Studio catalogs.
• Widened stream watchdogs for local OpenAI-compatible backends (including llama.cpp, LM Studio, vLLM, and Ollama) to prevent premature timeouts during cold model loads.

[16.2.10] - 2026-06-30

Added

• Added Claude Sonnet 3.7, Claude Opus 3, and Claude Sonnet 3 model entries to the Anthropic catalog
• Added Anthropic Claude Sonnet 5 model entry to the Kilo provider catalog
• Added first-party catalog discovery support for the Anthropic provider
• Added Gemini 3.1 Flash Lite Image model entry to the Kilo provider catalog
• Added Anthropic Claude Sonnet 5 model variants with low, medium, high, xhigh, and max thinking efforts to the Devin provider catalog
• Added Claude Sonnet 5 model entry to the Anthropic curated catalog.

Changed

• Updated the base API URL for the Claude Sonnet 5 model in the Anthropic catalog
• Updated pricing metrics for DeepSeek R1 and DeepSeek V3 model entries to reflect new rates

[16.2.9] - 2026-06-30

Added

• Added full capability support for Claude Sonnet 5, aligning it with Claude Opus 4.8 and Fable 5. This includes adaptive thinking display, mid-conversation system messages, sampling parameter and thinking omission API restrictions, and 5-tier adaptive reasoning effort mapping (including xhigh and max levels) across direct APIs, OpenRouter, and Bedrock Converse.

Changed

• Updated input and output costs for models in the catalog.

[16.2.7] - 2026-06-30

Fixed

• Fixed compatibility with Kimi K2.7 Code on native endpoints to ensure thinking mode is preserved and tool choice is not forced.
• Fixed Cerebras gemma-4-31b dynamic discovery to correctly identify the model as image-capable, enabling proper serialization of attached images.

[16.2.6] - 2026-06-29

Fixed

• Fixed namespaced GLM-5.x model IDs on Z.AI/Zhipu OpenAI-compatible endpoints to inherit the widened stream watchdog, avoiding spurious stalled-stream errors during long thinking phases. (#3819)

[16.2.3] - 2026-06-28

Added

• Added support and configuration parameters for V2 streaming compaction in RemoteCompactionConfig, catalog types, and model/provider metadata.

Changed

• Enabled automatic content markup healing for all OpenAI-compatible streaming models
• Updated pricing and context window limits for several catalog models.
• Disabled reasoning capability for multiple providers in the catalog.

[16.2.2] - 2026-06-27

Removed

• Removed 'pi' from the list of supported dialects.

[16.2.0] - 2026-06-27

Added

• Added GitLab Duo Agent catalog discovery, including namespace selection, live model mapping, and a bundled fallback model for fresh installs.
• Added OpenAICompat.supportsNamedToolChoice to support forced tool use on string-only OpenAI-compatible chat servers without emitting the named function-object tool_choice shape.
• Added model metadata support for provider-native remote compaction and compaction-only model selection.

Changed

• Disabled the thinking-effort selector for GitLab Duo Agent models since the underlying platform parameters are server-fixed.

Fixed

• Improved GitLab Duo Agent and Duo Workflow namespace and project discovery to robustly handle paginated groups, SSH remotes with custom ports, Git worktrees, self-managed GitLab instances with relative paths, and configuration via GITLAB_DUO_PROJECT_PATH or GITLAB_DUO_PROJECT_ID.
• Fixed built-in LiteLLM discovery to prefer rich proxy metadata from management endpoints and avoid caching stale capability data.
• Fixed GitLab Duo Workflow model specifications to resolve correct static context windows, enabling accurate context usage tracking and auto-compaction.

[16.1.23] - 2026-06-26

Added

• Added OpenAICompat.qwenPreserveThinking — auto-enabled when the resolved thinkingFormat is "qwen" or "qwen-chat-template" AND replayReasoningContent is on (i.e. the four built-in local OpenAI-compatible providers, or a custom provider pointed at a loopback / RFC1918 / *.local baseUrl). Pairs with the chat-completions encoder change so the request body carries preserve_thinking: true (twin top-level + chat_template_kwargs emission), keeping Qwen3.6+ from stripping <think>...</think> off older assistant turns and breaking the local slot's KV cache between user messages. Non-Qwen chat templates ignore the parameter, so the flag stays a no-op outside the Qwen path; users on a cloud Qwen host (Alibaba Dashscope / Qwen Portal) can opt in with compat.qwenPreserveThinking: true. (#3541)
• Added CoreWeave Serverless Inference as an OpenAI-compatible provider with models.dev-backed bundled catalog metadata.

[16.1.22] - 2026-06-26

Added

• Added OpenAICompat.replayReasoningContent — auto-enabled for the built-in local OpenAI-compatible providers (llama.cpp, lm-studio, vllm, ollama on openai-completions) and for any provider pointed at a loopback / RFC1918 / *.local baseUrl. NOT gated on spec.reasoning: the runtime discovery paths for llama.cpp / lm-studio / openai-models-list hardcode reasoning: false because the upstream /models endpoints don't advertise the capability, while the stream parser still records incoming reasoning_content deltas as thinking blocks — gating on the spec flag would leave every discovered local Qwen / DeepSeek model re-triggering #3528. The encoder only writes reasoning_content when a thinking block actually exists on the turn, so the flag is a no-op on pure-text histories. Built-in proxy providers (currently litellm) are excluded from both checks because they forward to an unrelated upstream that gains no KV-cache benefit and may 400 on the extra field; users running a custom proxy in front of a llama.cpp-style backend can opt in via the sparse compat.replayReasoningContent: true override. Signals to the openai-completions encoder that preserved thinking blocks must be re-emitted as reasoning_content on every assistant turn so chat templates that reconstruct <think>…</think> from the field (Qwen3, DeepSeek-R1, GLM-5.x) keep the prior turn's tokens byte-stable and llama.cpp's prefix KV cache survives. (#3528)

[16.1.20] - 2026-06-25

Fixed

• Fixed direct Anthropic Claude Sonnet/Haiku 4.5 advisor/agent turns crashing every call with HTTP 400 This model does not support the effort parameter. The catalog classified the whole Claude 4.5 family on anthropic-messages (and bedrock-converse-stream) as anthropic-budget-effort, which made the Anthropic provider serialize output_config.effort alongside thinking.budget_tokens. Anthropic only honors output_config.effort on Opus 4.5 and adaptive (4.6+) Messages-API models, so Sonnet 4.5 / Haiku 4.5 rejected the field. inferThinkingControlMode now gates anthropic-budget-effort to parsedModel.kind === "opus" && semverGte(version, "4.5") on both Anthropic-routed APIs, so Sonnet 4.5 / Haiku 4.5 on direct Anthropic + Cloudflare-AI-Gateway + Vertex + GitLab-Duo + Copilot + Bedrock fall through to plain mode: "budget" (thinking budget still scales with the selected effort tier). Opus 4.5 keeps anthropic-budget-effort. anthropic-budget-effort also stays in use for Anthropic-compatible third-party backends that natively support the field (Umans GLM 5.2). (#3497)

[16.1.17] - 2026-06-24

Fixed

• Fixed the Umans GLM-5.2 thinking-level picker collapsing to a single high tier after dynamic discovery: the max upstream level now resolves to the internal xhigh effort, the picker shows both high and xhigh, and the metadata maps xhigh back to Umans's native max wire tier. (#3192)
• Fixed GitHub Copilot business and enterprise endpoints accepting image inputs that they reject with 400 vision is not supported. The Copilot /models response advertises capabilities.supports.vision = true for Claude/GPT chat models on every host, but only the canonical personal endpoint (https://api.githubcopilot.com) actually serves them; githubCopilotModelManagerOptions now forces input: ["text"] whenever discovery resolves to a non-personal base URL, and mergeDynamicModel honours the dynamic value (instead of OR-upgrading) when the merged endpoint differs from the bundled reference. (#3387)
• Fixed OpenRouter Anthropic compat to strip Responses reasoning history during replay so signed thinking blocks are not sent back to routed Anthropic providers. (#3399)

[16.1.14] - 2026-06-22

Added

• Added Sakana AI provider support with Fugu model integration
• Added Sakana AI/Fugu provider catalog entries with Fugu model discovery and Responses API metadata
• Added support for "xhigh" reasoning tier across model configurations
• Added configuration for new models GCP-5.4 Mini, GPT-5.5, and variants
• Added devin variant collapse table to streamline model tiering

Changed

• Updated reasoning label pattern to include "minimal" and "max" efforts
• Simplified model identification logic for Devin-powered reasoning models
• Refactored variant routing to consolidate and standardize tier definitions

[16.1.13] - 2026-06-22

Added

• Added support for Devin as a model provider
• Added capability to fetch dynamic models from the Devin model manager

[16.1.11] - 2026-06-21

Fixed

• Fixed Umans umans-glm-5.1 / umans-glm-5.2 advertising native image input. The models/info endpoint reports supports_vision: "via-handoff" for the GLM models, meaning vision routes through a separate handoff pre-analysis step instead of accepting raw image blocks; umansSupportsVision treated any non-empty string as native vision support, so image prompts went directly to GLM and were rejected with 400 This model does not support image inputs. The helper now requires supports_vision === true, the bundled GLM 5.1/5.2 rows are corrected to text-only, and stale mismatched Umans cache rows for those ids are dropped so the vision-handoff path runs even before a successful refresh. (#3184)

[16.1.9] - 2026-06-21

Fixed

• Fixed the moonshot provider with no path to the Kimi China API: model discovery now honors a MOONSHOT_BASE_URL override (redirecting to api.moonshot.cn), and KIMI_API_KEY resolves as a fallback for MOONSHOT_API_KEY. (#2883)
• Fixed LiteLLM model discovery preserving colliding models.dev transport metadata (for example ollama-cloud deepseek-v4-flash) instead of keeping the LiteLLM openai-completions provider transport. (#3162)

Removed

• Removed bundled Wafer Pass (wafer-pass) catalog entries and generation support; Wafer Serverless remains available as wafer-serverless.

[16.1.8] - 2026-06-20

Fixed

• Fixed Fireworks-hosted Qwen turns (e.g. fireworks/qwen3.7-plus) failing with 400 Extra inputs are not permitted, field: 'enable_thinking'. Fireworks serves Qwen3 with controllable thinking via OpenAI-style reasoning_effort and rejects the top-level enable_thinking boolean that Alibaba DashScope speaks; buildOpenAICompat was selecting thinkingFormat: "qwen" from the qwen id pattern regardless of host. Fireworks-hosted Qwen models now resolve to thinkingFormat: "openai".
• Fixed MiMo models on OpenAI-compatible gateways to expose only accepted low, medium, and high reasoning tiers and map unsupported raw minimal/xhigh requests to safe wire values. (#2864)

[16.1.7] - 2026-06-20

Fixed

• Fixed MiniMax-M3 catalog context for the MiniMax Coding/Token Plan providers minimax-code and minimax-code-cn to report the documented 1M long-context tier instead of the upstream 512K pricing boundary; the previous patch only covered minimax/minimax-cn, so the Coding Plan picker still showed 512K in the status bar (#3097).

[16.1.4] - 2026-06-19

Fixed

• Fixed Claude 4.6 routing on the google-antigravity (and google-gemini-cli) Cloud Code Assist providers, whose backend exposes the models asymmetrically: claude-sonnet-4-6 has no -thinking twin and claude-opus-4-6 has only the -thinking twin. The shared thinkingPair family was routing thinking efforts on claude-sonnet-4-6 to a non-existent claude-sonnet-4-6-thinking wire id (404 Requested entity was not found); replaced both 4.6 entries with bespoke single-wire families so every effort and off resolve to the live wire id. Added claude-sonnet-4-6 and claude-opus-4-6-thinking entries to ANTIGRAVITY_MODEL_WIRE_PROFILES capped at the backend's 64000-output-token limit (over-cap requests 400'd with Request contains an invalid argument); modelEnum is now optional on AntigravityModelWireProfile since the Claude wire ids are accepted without a captured labels.model_enum. (#3067)

[16.1.3] - 2026-06-19

Fixed

• Marked Ollama Cloud catalog models to omit on-the-wire output-token caps, preventing context-window-sized num_predict values from causing HTTP 400s for models whose true output cap is not discoverable. (#2984)
• Fixed readModelCache/writeModelCache using a process-global shared database even when a custom dbPath was provided. Custom-path cache operations now open and close a per-call database via withModelCacheDb, preventing leaked SQLite handles on Windows

[16.1.2] - 2026-06-19

Added

• Added support for Gemini 2.5 Flash-Lite, 3.1 Flash-Lite, and 3.5 Flash models
• Added support for Moonshot V1 model family

Changed

• Updated context window and token limits for various Claude, Gemini, and GPT-OSS models
• Refined thinking mode behaviors and routing for supported LLM families

Fixed

• Fixed GLM-5.2 reasoning_effort so the top thinking tier reaches each host's genuine maximum instead of 400ing, mapping the internal xhigh tier per host dialect (verified against live endpoints): Z.ai/Zhipu collapse onto the model's none/high/max scale (xhigh → max); Fireworks, resellers, and Ollama Cloud keep their distinct lower tiers and remap only the top xhigh → max (merged over host quirks such as Fireworks' minimal → none); and OpenRouter — whose API rejects max and treats xhigh as its own max tier — now exposes the xhigh tier and forwards it verbatim. Dialect detection keys off resolved compat.thinkingFormat, so custom OpenRouter/Z.ai-format providers are covered too.
• Maintained thinking effort routing when discovery only returns the base model ID
• Improved credential retrieval logic for Antigravity and Codex providers via auth discovery

[16.0.9] - 2026-06-18

Fixed

• Fixed GitHub Copilot's anthropic-messages proxy being misclassified as a non-signing reasoning endpoint (replayUnsignedThinking: true). It forwards to signature-enforcing Anthropic, so replaying a stripped/unsigned historical thinking block as signature: "" — most visibly an end_turn-bound checkpoint/branch-return turn whose signature the transform must strip — caused a 400 Invalid signature that corrupted the session and re-tripped on every full history re-send (e.g. after toggling MCP servers). Copilot now degrades such blocks to text like the official API. (#2851)
• Added a supportsImageDetailOriginal compat flag that resolves to false for GitHub Copilot, whose Responses endpoint rejects the detail: "original" image hint with a 400, and true for every other host. (#2822)

[16.0.8] - 2026-06-18

Changed

• Refactored model family ID predicates and capability checkers to use a shared, uniform process-lifetime memo utility to eliminate caching boilerplate.

Fixed

• Fixed LM Studio dynamic discovery to use native /api/v0/models metadata so VLM models advertise image input. (#2945)

[16.0.7] - 2026-06-18

Fixed

• Fixed MiniMax Anthropic-compatible M2/M3 thinking metadata to expose the adaptive transport and keep M2 mandatory reasoning floored (#2928).

[16.0.6] - 2026-06-18

Added

• Added a dedicated openrouter API type and ResolvedOpenRouterCompat configuration to support unified chat-completions and Responses-API compatibility for OpenRouter models

Changed

• Migrated bundled OpenRouter models in the catalog from openai-completions to the new openrouter API type
• Consolidated the resolved OpenAI compat shape: extracted a shared ResolvedOpenAISharedCompat core that both ResolvedOpenAICompat and ResolvedOpenAIResponsesCompat extend (each builder still computes its own per-surface value, preserving chat↔Responses divergence), added internal resolved wire-quirk fields (wireModelIdMode, stripDeepseekSpecialTokens, reasoningDeltasMayBeCumulative, emptyLengthFinishIsContextError, usesOpenAIToolCallIdLimit, dropThinkingWhenReasoningEffort, supportsObfuscationOptOut), and replaced buildOpenRouterCompat's cast-and-copy with an exhaustive pickResponsesOnly composition that fails to compile if a new Responses-only field is added without handling. The public OpenAICompat config vocabulary is unchanged.
• Expanded OpenAICompat/ResolvedOpenAISharedCompat with shared reasoning/history/stream/request flags (reasoningDisableMode, omitReasoningEffort, includeEncryptedReasoning, filterReasoningHistory, requiresReasoningContentForAllAssistantTurns, streamMarkupHealingPattern, promptCacheSessionHeader, etc.) so model/provider/gateway constraints are declared once in catalog compat and then consumed uniformly by Chat Completions and Responses endpoints.

Fixed

• Changed the default compatibility builder for openai-completions to set requiresAssistantAfterToolResult to isMistral, enabling the synthetic assistant bridge for built-in Mistral and Devstral models.
• Fixed local Ollama (provider: "ollama") reasoning turns still failing with HTTP 400 invalid reasoning value: "minimal" when the model was selected from a stale ~/.omp/models.db cache row or a hand-written config: the minimal → low / xhigh → max remap was only stamped during fresh discovery, so cached and custom specs reached the wire unmapped. The remap now lives in the OpenAI chat-completions and Responses compat builders, so every buildModel (including cache loads, custom specs, and the whenThinking variant) backfills it — no omp models refresh required. Custom OpenAI-compatible providers registered under a non-ollama provider id still need their own compat.reasoningEffortMap.
• Advertised Ollama Cloud GLM-5.2 reasoning efforts as high/xhigh-only and mapped xhigh to native max effort (#2911 by @serverinspector)
• Fixed OpenRouter pseudo-API model construction so bundled OpenRouter models resolve shared OpenAI compatibility metadata instead of an undefined compat record.
• Fixed custom/direct xai-oauth Responses model specs (e.g. grok-build) emitting reasoning.effort and hitting xAI's HTTP 400: buildOpenAIResponsesCompat now defaults supportsReasoningEffort to false for xai-oauth Grok models that are off the effort-capable allowlist (grok-3-mini/grok-4.20-multi-agent/grok-4.3), matching the curated discovery path; explicit compat.supportsReasoningEffort still overrides. The allowlist moved to a shared isGrokReasoningEffortCapable identity helper consumed by both the compat builder and provider-model curation so the two cannot drift.

[16.0.5] - 2026-06-17

Added

• Added enableGeminiThinkingLoopGuard to OpenAI compatibility options to allow explicit opt-in or opt-out of the Gemini thinking-loop guard for OpenAI-compatible model aliases
• Added LITELLM_BASE_URL as the LiteLLM provider discovery base URL fallback, with discovery caches scoped by the resolved proxy URL and explicit provider baseUrl config kept at higher precedence. (#2726)
• Added ThinkingConfig.effortBudgets (per-effort thinking-budget contract baked into collapsed variants) and ANTIGRAVITY_MODEL_WIRE_PROFILES (maxOutputTokens + model_enum per Antigravity wire id) to mirror the captured Antigravity Cloud Code Assist client request shape.

Changed

• Defaulted enableGeminiThinkingLoopGuard from Gemini family detection for both OpenAI completions and responses compatibility specs so Gemini models now enable the thinking-loop guard automatically
• Updated the default Gemini CLI user-agent version fallback to 0.46.0.
• Changed the Antigravity (google-antigravity, daily-cloudcode-pa) gemini-3.x collapse families to the budget thinking transport with the client's per-tier thinkingBudget (3.5 Flash low/medium/high = 1000/4000/10000, 3.1 Pro low/high = 1001/10001) and corrected 3.5 Flash effort→wire routing (medium → gemini-3.5-flash-low, high → gemini-3-flash-agent). Split the shared CCA collapse table so google-gemini-cli (cloudcode-pa) keeps the google-level thinkingLevel transport for official Gemini CLI parity. Stale collapsed snapshots (bundled catalog, recycled gemini-3-flash alias) self-heal from the hand table at collapse time, and the model cache schema is bumped to v7 to invalidate pre-budget Antigravity rows.
• Changed the Antigravity user-agent to the antigravity/hub/<version> format (default 2.1.4) to match the captured client.

Fixed

• Fixed off effort routing for claude-opus-4-5 and claude-opus-4-6 to use their base model IDs when thinking is disabled
• Fixed gemini-2.5-flash effort routing so all non-off effort levels resolve to gemini-2.5-flash-thinking
• Fixed shared variant alias provider resolution so resolveBareVariantAlias reports all matching providers when model aliases are present in both CCA collapse tables
• Routed google-antigravity default baseUrl to the stable primary daily endpoint in the catalog generator and all fallback snapshots, resolving connection drops on heavy queries.
• Fixed MiniMax M3 dialect selection so MiniMax-family OpenAI-compatible models use the MiniMax tool-call dialect instead of generic XML. (#2759)
• Fixed GitHub Copilot dynamic discovery to honor plan-specific API endpoints stored in structured OAuth credentials. (#2876)

[16.0.4] - 2026-06-17

Fixed

• Fixed GLM-5.2 catalog thinking metadata for Zhipu/BigModel so the top effort is exposed as xhigh and maps to provider-native max. (#2833)

[16.0.2] - 2026-06-16

Fixed

• Fixed Kimi output caps for Umans AI Coding Plan and Venice so discovery metadata cannot use context-sized token ceilings as request caps.
• Marked Umans Anthropic-compatible models as client-tool escaped so cached and bundled metadata do not expose web_search as a provider server tool.

[16.0.1] - 2026-06-15

Added

• Added the Umans AI Coding Plan provider catalog with Anthropic-compatible model metadata and dynamic discovery (#2636 by @oldschoola).

[16.0.0] - 2026-06-15

Breaking Changes

• Renamed the catalog-owned tool syntax API from ToolCallSyntax/FALLBACK_TOOL_SYNTAX/preferredToolSyntax to Dialect/FALLBACK_DIALECT/preferredDialect.

[15.13.3] - 2026-06-15

Added

• Added Azure OpenAI as a catalog provider (azure, default model gpt-5.5, env var AZURE_OPENAI_API_KEY), bundling the OpenAI-family models Azure serves over the Responses API (GPT-4/4.1/4o, GPT-5 family, o-series, Codex). Like Amazon Bedrock it is catalog-only — models ship in the bundle and become selectable once the env key is set, with the deployment base URL resolved at runtime from AZURE_OPENAI_BASE_URL/AZURE_OPENAI_RESOURCE_NAME.
• Added models.dev-backed bundled catalogs for providers that previously shipped no offline models: Hugging Face, Kilo, Moonshot, NanoGPT, Synthetic, Venice, Ollama Cloud, and the Xiaomi Token Plan regions (ams/cn/sgp). They still discover live when credentialed; the bundle is now a non-empty baseline.

Changed

• Updated stale provider default models to their latest bundled versions: OpenAI-family providers (azure, github-copilot, aimlapi) → GPT-5.5; Gemini providers (google, google-gemini-cli, google-vertex) → gemini-3.1-pro-preview; GLM providers (zai, zhipu-coding-plan) → glm-5.2, cerebras → zai-glm-4.7; Kimi providers (fireworks, opencode-go, moonshot) → kimi-k2.7-code, kimi-code → kimi-for-coding, together → moonshotai/Kimi-K2.7-Code; alibaba-coding-plan → qwen3.7-plus; and Claude-Sonnet defaults (cloudflare-ai-gateway, cursor, gitlab-duo, kilo, opencode-zen, vercel-ai-gateway) → Claude Opus 4.x.
• Restricted models.dev Azure discovery to OpenAI-family IDs (gpt-, o1, o3, o4, codex, chatgpt), excluding Foundry-hosted third parties (Claude/DeepSeek/Llama/Mistral/Phi) that Azure serves through non-Responses APIs.
• Detected the Azure OpenAI Responses compat surface (developer role, strict tool mode, strict tool-result pairing) by provider id as well as base URL, so bundled azure models whose deployment host is only known at runtime still get the right wire behavior.
• Renamed the Qwen3-ASR-Flash model label to Qwen3 ASR Flash

Fixed

• Fixed tool syntax selection for Gemini-family and Gemma model IDs by routing them to dedicated gemini and gemma formats instead of generic XML
• Fixed zhipu-coding-plan and together shipping no bundled models: their descriptors referenced non-existent models.dev keys (zhipu-coding-plan, together); pointed them at the real keys (zhipuai-coding-plan, togetherai) so they bundle their GLM and full catalogs respectively.
• Folded the azure-openai-responses API into the OpenAI Responses thinking-inference branches so Azure reasoning models (o-series, GPT-5, Codex) resolve the discrete effort vocabulary (including xhigh) and effort-control mode instead of falling through to generic defaults.
• Fixed ollama-cloud discovery inheriting an unsafe cross-provider contextWindow/maxTokens when /api/show returns no size metadata; it now falls back to the safe 128K context / 8K output caps.
• Dropped internal Fireworks control-plane resource ids (accounts/fireworks/{models,routers}/…) from the bundle; only the public request ids ship.

[15.13.2] - 2026-06-15

Added

• Added the ToolCallSyntax union and FALLBACK_TOOL_SYNTAX constant to @oh-my-pi/pi-catalog/identity (re-exported from @oh-my-pi/pi-ai/grammar).
• Added preferredToolSyntax(modelId) to @oh-my-pi/pi-catalog/identity, resolving a model's native tool-call syntax affinity from its family token (Claude→anthropic, GLM→glm, Kimi→kimi, Qwen→qwen3, DeepSeek→deepseek, OpenAI/gpt-oss→harmony, else the xml fallback).
• Added flux-1-schnell-fp8 to the Fireworks serverless model catalog
• Added gpt-oss-20b to the Fireworks model catalog
• Added qwen3-embedding-8b to the Fireworks model catalog
• Added qwen3-reranker-8b to the Fireworks model catalog
• Added Gemma 4 E2B IT and Gemma 4 E4B IT to the Google model catalog
• Added qwen/qwen3-asr-flash to the Zenmux model catalog
• Added sparse supportsTools model metadata so providers can mark models that require in-band tool-call formatting.

Changed

• Kept non-tool-capable Fireworks serverless models in discovery results and marked them with supportsTools: false for fallback-aware handling
• Extended modelFamilyToken(modelId) to classify Claude/OpenAI ids the structured parser misses (older dated forms such as claude-3-5-sonnet-20241022 and gpt-4o), returning anthropic/openai instead of an empty token.

[15.13.1] - 2026-06-15

Added

• Added modelFamilyToken(modelId) to @oh-my-pi/pi-catalog/identity: a coarse vendor-lineage token (anthropic/openai/gemini/kimi/…) for "are two models the same family?" comparisons, backed by parseKnownModel canonical-id normalization. Opaque and comparison-only; kind/variant collapsed onto the vendor token (#2406)

Changed

• Changed catalog metadata to update a model’s per-token pricing to input 0.09 and output 0.18
• Changed the same cataloged model’s maximum token limit from 384000 to 65536

Fixed

• Fixed MiniMax-M3 catalog context for minimax and minimax-cn to report the documented 1M long-context tier instead of the upstream 512K pricing boundary (#2576).
• Fixed OpenCode Go MiMo catalog metadata so title generation and other tool-enabled calls omit unsupported tool_choice instead of triggering provider 400s (#2509).
• Fixed OpenCode Go kimi-k2.7-code catalog metadata so resolve-gate requests use automatic tool selection instead of Moonshot-rejected forced tool_choice (#2546).
• Fixed Anthropic compat for the github-copilot host so supportsEagerToolInputStreaming defaults to false there, matching the Copilot proxy which rejects the per-tool eager_input_streaming field (#2558).
• Scoped vLLM model cache validity to the discovery base URL so changed endpoints refetch immediately, and bounded built-in vLLM discovery requests with a timeout.

[15.12.6] - 2026-06-14

Added

• Added GLM-5.2 to the bundled zai (GLM Coding Plan) catalog as the selectable 1M served model.

Changed

• Pinned zai glm-5.2 to 1M context during catalog generation so endpoint discovery and older fallbacks cannot regress it to 200k.
• Replaced the hand-maintained zhipu-coding-plan GLM reasoning allowlist and vision regex with a parseGlmModel family classifier in identity/classify.ts (variant + vision + version), surfaced as isReasoningGlmModelId / isGlmVisionModelId. Discovery now derives reasoning/vision capability from the GLM family instead of a per-id list, so newly-bumped integers (glm-5.3, glm-6, …) are covered automatically while -flash/-preview and the vision …v shape stay correctly classified.

[15.12.4] - 2026-06-13

Added

• Added bundled Fireworks models deepseek-v4-flash, kimi-k2.7-code, minimax-m2.5, minimax-m3, nemotron-3-ultra-nvfp4, qwen3.6-plus, and qwen3.7-plus
• Changed

Changed

• Model contextWindow/maxTokens are now number | null; discovery emits null when a provider reports no limit, replacing the 222222/8888 (UNK_CONTEXT_WINDOW/UNK_MAX_TOKENS) sentinels (now removed). Bundled models.json unknown limits are null.
• Changed the github-copilot model context window to 524288 tokens
• Changed Fireworks model discovery to source the control-plane List Models API (GET /v1/accounts/fireworks/models?filter=supports_serverless=true) instead of the OpenAI-compatible /v1/models inference listing. The inference endpoint returns a sparse, account-specific subset that omits on-demand serverless models (e.g. kimi-k2.7-code), so newly published serverless models stayed invisible in the picker until hand-added to the bundled catalog. The control-plane catalog enumerates every serverless model with capability metadata (supportsServerless/supportsTools/supportsImageInput/contextLength/displayName), paginated and filtered to tool-capable READY entries, then merged with bundled/models.dev references — the Kimi K2 max-output clamp and DeepSeek V4 thinking-toggle strip are preserved, and unbundled models default to reasoning so buildModel derives the Fireworks effort map. New serverless releases now surface automatically with no catalog edits.

Fixed

• Filled missing contextWindow and maxTokens in generated models.json for proxy/reseller variants by inheriting limits from canonical-family and segment-reference models
• Ignored zero-cost x-ai subscription entries as reference sources when backfilling limits so inflated values are not propagated
• Fixed the model cache opening with PRAGMA journal_mode=WAL before PRAGMA busy_timeout, so concurrent omp startups could crash inside getDb() on SQLITE_BUSY during WAL recovery instead of waiting through the transient lock. The busy handler is now installed before the first lock-taking statement (#2421).

[15.11.8] - 2026-06-12

Fixed

• Fixed Antigravity gemini-3.1-pro --thinking high failing with Cloud Code Assist API error (400): Request contains an invalid argument. — the upstream gemini-3.1-pro-high deployment rejects every streamGenerateContent request on both CCA endpoints while discovery still advertises it. High effort now routes to gemini-pro-agent (the same "Gemini 3.1 Pro (High)" model, verified accepting the identical request body), and the model-cache fingerprint version was bumped (merge-v2 → merge-v3) so existing fresh caches refetch discovery and pick up the corrected routing immediately.

[15.11.7] - 2026-06-12

Added

• Added effort-tier variant collapsing (variant-collapse): providers that expose one logical model as several effort/thinking-suffixed upstream ids (Antigravity CCA gemini-3.5-flash-extra-low/-low/gemini-3-flash-agent, gemini-3[.1]-pro-low|high, claude-*[-thinking] pairs, gpt-oss-120b-medium) collapse into one logical entry carrying per-effort upstream routing in thinking.effortRouting (plus thinking.suppressWhenOff for Cloud Code Assist ids whose baked server default re-applies when thinkingConfig is omitted). Request-time code resolves the outbound id via resolveWireModelId(model, effort); selection, caching, and usage attribution key on the logical id.
• Added the automatic X/X-thinking pair rule (deriveThinkingPairFamilies): any provider's live bare/thinking twin collapses into the bare id, routing thinking-enabled requests to the -thinking backing id (trailing or infix token, so kimi-k2-thinking-turbo pairs with kimi-k2-turbo). Gated on same api and compatible pricing — all-zero cost rows count as unknown, while twins that both carry real, differing prices remain separate SKUs.
• Added collapseBuiltModelVariants and wired collapsing at every materialization point — Antigravity discovery, the catalog generator, and the model-manager merge — so stale sources (old static beside collapsed dynamic results, mixed cache rows) converge on logical entries instead of unioning raw tier ids back into the catalog.
• Added thinking.requiresEffort, baked for reasoning-only upstreams — Gemini 3.x (levels only, no off), Gemini 2.5 Pro (thinkingBudget floors at 128, rejects 0), OpenAI o-series, MiniMax M2, and thinking-variant SKUs (*-thinking/*-reasoner/*-reasoning, with a negation-aware token grammar so non-thinking ids never match). Identity derivation bakes it for new entries and fillThinkingWireDefaults backfills explicit/cached metadata; minimumSupportedEffort exposes the canonical floor. Pair-collapsed twins drop member flags (their off routes to the bare SKU), while identity re-flags pairs whose logical id is itself mandatory

Changed

• Changed model display names to drop model-extrinsic decorations: gateway author prefixes (OpenAI: …, Google: …), (latest) alias markers, (Antigravity) provider attribution, price tiers (($$$$)), and promo/lifecycle tags ((20% off), (retires …)). cleanModelName is applied in buildModel (covers live discovery and stale caches) and as a catalog-generator pass; Antigravity discovery no longer appends (Antigravity) to display names. Variant tags that map to distinct wire ids ((Thinking), (free), (Fast), dates, regions) are preserved.
• Changed the google-antigravity default model from gemini-3-pro-high to gemini-3.1-pro
• Changed gemini-2.5-flash-thinking handling from discovery-denylist to collapsing into gemini-2.5-flash (thinking-enabled requests route to the -thinking backing id)
• Bumped the model cache schema to v5 so rows predating effort-tier variant collapsing (raw -low/-high/-thinking member ids) are invalidated

Fixed

• Fixed catalog generation to apply effort-tier variant collapsing before provider grouping to ensure collapsed model families are consistently materialized without being impacted by in-loop mutation
• Fixed Kimi K2.6 OpenAI-compatible compat metadata to use a 300s stream watchdog floor, covering Fire Pass router ids as well as public kimi-k2.6 ids so long reasoning starts do not hit the generic first-event timeout (#2366).

[15.11.4] - 2026-06-12

Fixed

• Fixed MiniMax M2-family and OpenAI gpt-oss model metadata so OpenAI-compatible catalog entries declare only low|medium|high thinking efforts. Their upstreams reject minimal, xhigh, and Fireworks' minimal → none wire mapping, so fireworks/minimax-m2.7 as the smol auto-thinking classifier model 400ed on every turn. OpenAI-compatible provider effort maps (Groq qwen/qwen3-32b, DeepSeek-family, OpenRouter Anthropic adaptive, Fireworks minimal → none) now bake into thinking.effortMap in catalog metadata instead of buildOpenAICompat, and request builders read that field directly. Regenerated models.json now makes disableReasoning choose low for those families while leaving GLM-5.x and other Fireworks models on the existing minimal → none path (#2315).

Added

• Added requiresJuiceZeroHack Responses-API compat flag, resolved by buildOpenAIResponsesCompat from GPT-5-family model names and overridable via sparse model compat config. Replaces the request-time model.name.startsWith("gpt-5") sniff that gated the trailing # Juice: 0 !important no-reasoning developer item.

[15.11.3] - 2026-06-11

Added

• Added requestModelId on Model to represent the upstream model id used when a catalog entry is a local variant
• Added synthetic GitHub Copilot long-context model variants with -1m suffixes when tiered token pricing is advertised

Changed

• Changed GitHub Copilot discovery to request X-GitHub-Api-Version: 2026-06-01 from api.githubcopilot.com
• Changed GitHub Copilot discovery to cap base model contextWindow to the default token tier and keep long-context access as the separate -1m model entry
• Changed Copilot model mapping to omit non-chat /models entries and enable image input for models whose capabilities indicate vision support

Fixed

• Fixed long-context variant pricing to use billing.token_prices.long_context rates instead of default model pricing
• Fixed mapModel handling in OpenAI-compatible discovery so returning null now skips a model entry rather than falling back to defaults
• Fixed model ID precedence so a real upstream Copilot model id is kept when it conflicts with a synthesized -1m variant

[15.11.1] - 2026-06-11

Fixed

• Fixed NVIDIA NIM Qwen turns failing with 400 Validation: Unsupported parameter(s): enable_thinking. NIM's chat-completions schema is additionalProperties: false and exposes thinking via the vLLM convention chat_template_kwargs.enable_thinking; buildOpenAICompat was sending top-level enable_thinking for every qwen/* id regardless of host. Registered nvidia as a known host (integrate.api.nvidia.com) and routed NVIDIA-hosted Qwen models to thinkingFormat: "qwen-chat-template" (#2299).
• Fixed Moonshot/Kimi native OpenAI-compatible request metadata so Kimi K2 uses max_tokens and omits OpenAI-only store, restoring first-turn output with MOONSHOT_API_KEY (#2289).

[15.11.0] - 2026-06-10

Fixed

• Fixed buildModel so malformed explicit thinking metadata without efforts is treated as sparse input and inferred instead of crashing during model resolution (#2251).

[15.10.12] - 2026-06-10

Added

• Added grok-composer-2.5-fast (Cursor "Composer 2.5 Fast") to the xAI Grok OAuth (SuperGrok) catalog: non-reasoning, text-only, 200K context.

Changed

• Set every xAI Grok OAuth (SuperGrok) curated model's max output tokens to mirror its context window (grok-build, grok-4.3, grok-4.20-0309-{reasoning,non-reasoning}, grok-4.20-multi-agent-0309, grok-composer-2.5-fast), replacing the 8888 UNK_MAX_TOKENS placeholder (and a stale 30000 on three grok-4.x entries). xAI's OAuth /v1/models reports no per-request output limit, so the curated catalog now owns maxTokens like contextWindow, deterministic on both the static-seed and online-overlay paths; the openai-responses wire still clamps the actual request to OPENAI_MAX_OUTPUT_TOKENS (64k).

Fixed

• Excluded zero-cost xai-oauth subscription entries from the model reference indexes (buildModelReferenceIndex, createReferenceResolver), so their zero pricing and context-window-sized maxTokens cannot outrank paid/public Grok references when resolving custom-provider model identities.

[15.10.11] - 2026-06-10

Added

• Added hostMatchesUrl, modelMatchesHost, and endpoint-shape helpers in the new hosts module for consistent provider/baseUrl matching
• buildModel(spec) (build.ts) is now the single Model constructor: it materializes the fully-resolved compat record and canonical thinking metadata exactly once (compat first, thinking derived from identity + resolved compat), so Model.compat is a required, complete CompatOf<TApi> (ResolvedOpenAICompat/ResolvedOpenAIResponsesCompat/ResolvedAnthropicCompat) and request-path code reads fields with zero URL parsing and zero per-request allocation. Sparse user/config overrides live on the new ModelSpec<TApi> input shape and survive on Model.compatConfig for introspection.
• Added ResolvedAnthropicCompat.supportsSamplingParams (Opus 4.7+/Fable/Mythos reject temperature/top_p/top_k with a 400), baked at build time from model identity so the request path stops re-parsing model ids.
• Compat detection gained model-time flags so handlers stop sniffing baseUrl: completions supportsReasoningParams, alwaysSendMaxTokens, isOpenRouterHost, isVercelGatewayHost, streamIdleTimeoutMs, and a precomputed whenThinking alternate view (OpenCode reasoning_content gating, #1071/#1484); responses strictResponsesPairing, supportsLongPromptCacheRetention, supportsReasoningEffort; anthropic officialEndpoint, requiresToolResultId, replayUnsignedThinking.
• New @oh-my-pi/pi-catalog package: the model catalog extracted from @oh-my-pi/pi-ai. Owns the bundled models.json and its generation pipeline (scripts/generate-models.ts), the core model data types (Model, Api, ThinkingConfig, Effort, Usage, compat interfaces), thinking metadata enrichment and generated policies (model-thinking.ts), the SQLite model cache and model manager, per-provider discovery factories (provider-models/), the discovery protocol clients (discovery/), and the new CATALOG_PROVIDERS table — the single source of truth for provider ids, default models, and discovery wiring (KnownProvider, PROVIDER_DESCRIPTORS, and DEFAULT_MODEL_PER_PROVIDER are derived from it).
• New identity/ module centralizing model-identity concerns that were previously duplicated across packages: family classification and version parsing (identity/classify.ts, extracted from pi-ai's model-thinking internals), canonical model equivalence with injected reference data (identity/equivalence.ts, from coding-agent's model-equivalence), proxy/reseller reference lookup (identity/reference.ts, from coding-agent's model-registry), bracket-affix and id-segment helpers (identity/id.ts), a single trailing-marker vocabulary with canonical vs reference flavors (identity/markers.ts — search stays reference-only so Perplexity's sonar-pro-search remains canonical-distinct), and provider priority ordering (identity/priority.ts).
• Memoized bundled-reference accessors (getBundledCanonicalReferenceData / getBundledModelReferenceIndex in identity/bundled.ts): one lazy walk of the bundled catalog feeds both canonical equivalence and proxy-reference lookup, so consumers no longer hand-roll the glue.
• identity/selection.ts: pure canonical-variant selection (resolveCanonicalVariant, buildCanonicalModelOrder, CanonicalVariantPreferences) extracted from the coding-agent registry — provider rank, then exact-id match, variant source, id length, and candidate order.

Changed

• Changed OpenAI compatibility detection to use shared host classifiers (modelMatchesHost/hostMatchesUrl) with normalized matching instead of raw URL substring checks
• Changed hostMatchesUrl/modelMatchesHost usage in compatibility detection to reduce mismatches across case variants and provider alias hosts
• Provider catalog entries now carry the runtime API-key env fallback as an ordered envVars list; catalogDiscovery.envVars became an optional generation-time override (only cursor and vercel-ai-gateway differ) and PROVIDER_DESCRIPTORS materializes the resolved list for generate-models.ts.
• Model's api parameter now defaults to Api instead of any (Model<TApi extends Api = Api>), so bare Model no longer behaves as Model<any> at call sites.
• ThinkingConfig is now explicit and total: an ordered efforts array replaces the minLevel/maxLevel/levels range encoding, and the wire facts are baked alongside it — effortMap (anthropic-adaptive 4-tier vs 5-tier scale, shared with the OpenRouter completions remap) and supportsDisplay (adaptive display field support). Explicit spec thinking owns the capability surface (mode/efforts/defaultLevel) and wins over inference; missing wire facts are backfilled from identity so configs never need to know Anthropic's tier tables. Reasoning models that reject the wire effort param (compat.supportsReasoningEffort: false on openai-responses*) are encoded as thinking: undefined ("thinks, no control surface") instead of the removed modelOmitsReasoningEffort special case. models.json was re-baked in the new vocabulary behind a 3196-model behavioral parity gate, and the model cache schema bumped to v4 to invalidate old-shape rows.
• mapEffortToGoogleThinkingLevel(effort) is now a static map (model parameter dropped — validation stays at the requireSupportedEffort call sites), and mapEffortToAnthropicAdaptiveEffort reads the baked thinking.effortMap instead of re-classifying the model id per request.
• Generator-only policy code moved out of the runtime bundle into scripts/generated-policies.ts: applyGeneratedModelPolicies (now policy fixups + thinking re-bake via the shared deriver), linkOpenAIPromotionTargets, the Copilot context-window table, minimax/opencode-go compat fixups, and CLOUDFLARE_FALLBACK_MODEL. The anthropic id predicates (hasOpus47ApiRestrictions, supportsMidConversationSystemMessages, isAnthropicFableOrMythosModel) moved to identity/family for build-time use by the compat/thinking derivers only.

Fixed

• Fixed Anthropic official-endpoint detection to require strict HTTPS hostname matching so non-official or lookalike URLs are no longer treated as official Anthropic hosts
• Fixed Ollama Cloud dynamic discovery so same-id matches from other providers no longer supply context-window or max-output-token limits for discovered models.
• Wired @oh-my-pi/pi-catalog into the release publish package list, tarball install smoke test, and root bun generate-models script.
• Fixed supportsAdaptiveThinkingDisplay only matching dash-form version ids: dotted ids (claude-opus-4.7) now classify through identity/classify like every other anthropic predicate, so six bundled dotted Opus 4.7/4.8 entries (github-copilot, vercel-ai-gateway, zenmux) regain adaptive display support; bare dated ids (claude-opus-4-20250514 = Opus 4.0) stay excluded.
• Fixed the OpenRouter anthropic adaptive-effort map misclassifying bare dated Opus ids (claude-opus-4-20250514 parsed as version 4.20 → wrongly adaptive); the map now derives from the shared classifier and the shared 4-/5-tier tables.

Removed

• Removed the runtime enrichment layer: enrichModelThinking (and its non-enumerable memo-slot cache), refreshModelThinking, modelOmitsReasoningEffort, and the model-thinking re-exports of generator-only policies. Thinking metadata is resolved exactly once inside buildModel; runtime helpers (getSupportedEfforts, clampThinkingLevelForModel, requireSupportedEffort, the effort mappers) are pure field reads.