fix(aiand): logo mark, cache pricing, and reasoning options

providers/aiand/models/deepseek-ai/deepseek-v4-flash.toml

@@ -1,19 +1,21 @@
-# Source: https://docs.aiand.com/models/catalog/ (USD list prices; accessed
-# 2026-07-24). GET /v1/models reports context_window = 1048576 (the catalog
-# rounds this to "1M" and the shared base model to 1_000_000), so the exact
-# figure is overridden here.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted ("none" produces no reasoning content, "high" does);
-# invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = none|high|max
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high|max → 200; minimal|low|medium|xhigh → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "deepseek/deepseek-v4-flash"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["none", "high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.15
 output = 0.25
+cache_read = 0.08
 
 [limit]
 context = 1_048_576

providers/aiand/models/deepseek-ai/deepseek-v4-pro.toml

@@ -1,18 +1,21 @@
-# Source: https://docs.aiand.com/models/catalog/ (USD list prices; accessed
-# 2026-07-24). GET /v1/models reports context_window = 1048576 (the catalog
-# rounds this to "1M" and the shared base model to 1_000_000), so the exact
-# figure is overridden here.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted; invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = none|high|max
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high|max → 200; low → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "deepseek/deepseek-v4-pro"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["none", "high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1
 output = 2.5
+cache_read = 0.25
 
 [limit]
 context = 1_048_576

providers/aiand/models/google/gemma-4-31b-it.toml

@@ -1,21 +1,22 @@
-# Source: https://docs.aiand.com/models/catalog/ (USD list prices; accessed
-# 2026-07-24) and live probes against api.aiand.com on the same date.
-# Verified by direct test: image (data URL), video (video_url), and PDF
-# (Files API purpose="document", referenced by file_id) inputs all accepted.
-# ai& converts PDFs to per-page images at upload, so "pdf" is a provider
-# input modality here even though the base model itself is not PDF-native.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted ("none" produces no reasoning content, "high" does);
-# invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = none|high
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high → 200; minimal|low|xhigh → 400.
+# Modalities: image, video, and PDF accepted on this host (2026-07-24 probes).
+# Reasoning side channel: message.reasoning_content
 base_model = "google/gemma-4-31b-it"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.2
 output = 0.5
+cache_read = 0.05
 
 [modalities]
 input = ["text", "image", "video", "pdf"]

providers/aiand/models/moonshotai/kimi-k2.7-code.toml

@@ -1,19 +1,22 @@
-# Source: https://docs.aiand.com/models/catalog/ (USD list prices; accessed
-# 2026-07-24) and live probes against api.aiand.com on the same date.
-# Verified by direct test: image and PDF (Files API, file_id) inputs are
-# accepted; video is rejected ("does not support video input"), so modalities
-# are overridden from the shared base model's text+image+video.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted; invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = high (always-on; none/low rejected)
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: high → 200; none|low → 400.
+# Modalities: image + PDF accepted; video rejected (2026-07-24 probes).
+# Reasoning side channel: message.reasoning_content
 base_model = "moonshotai/kimi-k2.7-code"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.75
 output = 3.5
+cache_read = 0.2
 
 [modalities]
 input = ["text", "image", "pdf"]

providers/aiand/models/moonshotai/kimi-k3.toml

@@ -1,22 +1,18 @@
-# Source: GET https://api.aiand.com/v1/models (USD list prices; accessed
-# 2026-07-28). Pricing is aiand-specific: $3.00 input, $0.50 cache_read,
-# $12.50 output (differs from Moonshot official rates).
-# Modalities: text + image + pdf accepted per GET /v1/models; video rejected
-# ("does not support video input") — overridden from shared base
-# text+image+video. PDF kept: sibling aiand Moonshot entries (kimi-k2.6,
-# kimi-k2.7-code) include pdf after catalog/probe evidence; aiand treats
-# PDF as a provider-level Files API modality.
-# reasoning_effort: K3 backend accepts only low/high/max per official docs
-# (https://platform.kimi.ai/docs/guide/kimi-k3-quickstart). The aiand gateway
-# schema lists none/minimal/low/medium/high/xhigh/max but K3 rejects
-# none/minimal/medium/xhigh with 400. aiand does not expose a separate off
-# toggle; K3 always reasons.
+# Effort: reasoning_effort = low|high|max (always-on; no none)
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# K3 accepts only low|high|max (lab docs + host 400 on none/minimal/medium/xhigh).
+# Modalities: text + image + PDF; video rejected on this host.
+# Reasoning side channel: message.reasoning_content
 base_model = "moonshotai/kimi-k3"
 
 [[reasoning_options]]
 type = "effort"
 values = ["low", "high", "max"]
 
+[interleaved]
+field = "reasoning_content"
+
 [cost]
 input = 3
 output = 12.5

providers/aiand/models/motif-technologies/motif-3.toml

@@ -1,18 +1,31 @@
+# Effort: reasoning_effort = none|high
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high → 200; low → 400.
+# First-party Motif host entry (no shared lab base_model in catalog yet).
+# Reasoning side channel: message.reasoning_content
 name = "Motif 3"
 description = "Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token."
 release_date = "2026-08-12"
-last_updated = "2026-08-12"
+last_updated = "2026-09-11"
 attachment = false
 reasoning = true
 temperature = false
 tool_call = false
 structured_output = false
 open_weights = false
-reasoning_options = []
+
+[[reasoning_options]]
+type = "effort"
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.5
 output = 2
+cache_read = 0.2
 
 [limit]
 context = 262_144

providers/aiand/models/openai/gpt-oss-120b.toml

@@ -1,14 +1,18 @@
-# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
-# reasoning_effort verified by live probe on 2026-07-24: the backend rejects
-# "none", "minimal", and "xhigh" with 400 ("Supported values are: high,
-# medium, low"), so the array is narrowed from the gateway-wide documented
-# set. Invalid values also rejected with 400 (negative control).
+# Effort: reasoning_effort = low|medium|high
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-07-24: low|medium|high → 200; none|minimal|xhigh → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "openai/gpt-oss-120b"
 
 [[reasoning_options]]
 type = "effort"
 values = ["low", "medium", "high"]
 
+[interleaved]
+field = "reasoning_content"
+
 [cost]
 input = 0.15
 output = 0.60
+cache_read = 0.08

providers/aiand/models/qwen/qwen3.6-27b.toml

@@ -1,22 +1,21 @@
-# Source: GET https://api.aiand.com/v1/models (USD list prices; accessed
-# 2026-07-28). The catalog Quick-picks section still lists this model as free,
-# but the live endpoint reports input = $0.32 / output = $3.20 per 1M tokens,
-# so pricing is taken from the API.
-# ai&'s deployment rejects image input ("does not support image input") and
-# the catalog lists no vision/video/audio capability, so modalities are
-# overridden from the shared base model's text+image+video+audio to text-only,
-# and attachment is set to false to match.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted; invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = none|high
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high → 200; minimal|low|xhigh → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "alibaba/qwen3.6-27b"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["none", "high"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 0.32
 output = 3.2
+cache_read = 0.2
 
 [modalities]
 input = ["text", "image", "video", "pdf"]

providers/aiand/models/qwen/qwen3.8-27b.toml

@@ -1,18 +1,17 @@
-# Source: GET https://api.aiand.com/v1/models (USD list prices; accessed
-# 2026-08-29). GET /v1/models reports context_window = 262144, input = $0.40,
-# output = $3.00, cached_input = $0.20 per 1M tokens.
-# Modalities: text, image, video, and document (PDF) supported per catalog
-# capabilities (vision|video|document).
-# reasoning_effort verified by live probe on 2026-08-29: accepts none, low,
-# medium, xhigh (200); rejects minimal, high, max with 400 ("Supported
-# values: none, low, medium, xhigh"). effort=none returns no
-# reasoning_content (off).
+# Effort: reasoning_effort = none|low|medium|xhigh
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-08-29: none|low|medium|xhigh → 200; minimal|high|max → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "alibaba/qwen3.8-27b"
 
 [[reasoning_options]]
 type = "effort"
 values = ["none", "low", "medium", "xhigh"]
 
+[interleaved]
+field = "reasoning_content"
+
 [cost]
 input = 0.4
 output = 3

providers/aiand/models/zai-org/glm-5.2.toml

@@ -1,18 +1,21 @@
-# Source: https://docs.aiand.com/models/catalog/ (USD list prices; accessed
-# 2026-07-24). GET /v1/models reports context_window = 1048576 (the catalog
-# rounds this to "1M" and the shared base model to 1_000_000), so the exact
-# figure is overridden here.
-# reasoning_effort verified by live probe on 2026-07-24: all six documented
-# values accepted; invalid values rejected with 400 (negative control).
+# Effort: reasoning_effort = none|high|max
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: none|high|max → 200; low|xhigh → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "zhipuai/glm-5.2"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "minimal", "low", "medium", "high", "xhigh"]
+values = ["none", "high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1
 output = 4
+cache_read = 0.3
 
 [limit]
 context = 1_048_576

providers/aiand/models/zai-org/glm-5.3.toml

@@ -1,16 +1,16 @@
-# Source: GET https://api.aiand.com/v1/models (USD list prices; accessed
-# 2026-08-29). GET /v1/models reports context_window = 1048576 (shared base
-# model uses 1_000_000), so the exact figure is overridden here.
-# Lab / peer relays (zhipuai, zai, OpenRouter, Kilo) use always-on effort
-# low|high|max. ai&'s deployment differs: live reasoning_effort probe on
-# 2026-08-29 accepts none|low|xhigh|max (200); rejects minimal|medium|high
-# with 400 ("Supported values: none, low, xhigh, max"). effort=none returns
-# no reasoning_content (off); xhigh|max return reasoning_content.
+# Effort: reasoning_effort = low|high|max (always-on; no none)
+# Pricing: GET https://api.aiand.com/v1/models (accessed 2026-09-11)
+# Docs: https://docs.aiand.com/models/catalog/
+# Live probe 2026-09-11: low|high|max → 200; none|xhigh → 400.
+# Reasoning side channel: message.reasoning_content
 base_model = "zhipuai/glm-5.3"
 
 [[reasoning_options]]
 type = "effort"
-values = ["none", "low", "xhigh", "max"]
+values = ["low", "high", "max"]
+
+[interleaved]
+field = "reasoning_content"
 
 [cost]
 input = 1