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Merged
larryro merged 3 commits into from
Apr 11, 2026
Merged

feat(platform): configurable file retention policies #1391

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dc8e8d3
feat(platform): configurable file retention policies (#1169)
larryro Apr 11, 2026
fa05d2f
chore(platform): set DeepSeek V3.2 as default chat model for OpenRouter
larryro Apr 11, 2026
d15669e
fix(platform): mock rate limiter in file_metadata tests
larryro Apr 11, 2026
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2 changes: 1 addition & 1 deletion examples/agents/chat-agent.json
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,8 @@
"document_write"
],
"supportedModels": [
"moonshotai/kimi-k2.5",
"deepseek/deepseek-v3.2",
"moonshotai/kimi-k2.5",
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
"anthropic/claude-haiku-4.5",
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171 changes: 134 additions & 37 deletions examples/providers/openrouter.json
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
"baseUrl": "https://openrouter.ai/api/v1",
"supportsStructuredOutputs": true,
"defaults": {
"chat": "moonshotai/kimi-k2.5",
"chat": "deepseek/deepseek-v3.2",
"vision": "qwen/qwen3-vl-32b-instruct",
"embedding": "qwen/qwen3-embedding-8b"
},
Expand All @@ -13,130 +13,227 @@
"id": "moonshotai/kimi-k2.5",
"displayName": "Kimi K2.5",
"description": "High-performance general-purpose model",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 38, "outputCentsPerMillion": 172 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 38,
"outputCentsPerMillion": 172
}
},
{
"id": "deepseek/deepseek-v3.2",
"displayName": "DeepSeek V3.2",
"description": "Strong reasoning and general capabilities",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 26, "outputCentsPerMillion": 38 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 26,
"outputCentsPerMillion": 38
}
},
{
"id": "qwen/qwen3-next-80b-a3b-instruct",
"displayName": "Qwen3 Next 80B",
"description": "Fast and efficient instruction-following model",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 9, "outputCentsPerMillion": 110 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 9,
"outputCentsPerMillion": 110
}
},
{
"id": "qwen/qwen3.5-35b-a3b",
"displayName": "Qwen3.5 35B",
"description": "Compact and fast model",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 16, "outputCentsPerMillion": 130 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 16,
"outputCentsPerMillion": 130
}
},
{
"id": "anthropic/claude-opus-4.6",
"displayName": "Claude Opus 4.6",
"description": "Most capable model for complex reasoning and coding",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 500, "outputCentsPerMillion": 2500 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 500,
"outputCentsPerMillion": 2500
}
},
{
"id": "openai/gpt-5.2",
"displayName": "GPT-5.2",
"description": "OpenAI's latest flagship model",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 175, "outputCentsPerMillion": 1400 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 175,
"outputCentsPerMillion": 1400
}
},
{
"id": "qwen/qwen3-vl-32b-instruct",
"displayName": "Qwen3 VL 32B",
"description": "Vision-language model for image understanding",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 10, "outputCentsPerMillion": 42 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 10,
"outputCentsPerMillion": 42
}
},
{
"id": "qwen/qwen3-embedding-8b",
"displayName": "Qwen3 Embedding 8B",
"description": "Text embedding model for semantic search",
"tags": ["embedding"],
"tags": [
"embedding"
],
"dimensions": 1536,
"cost": { "inputCentsPerMillion": 1, "outputCentsPerMillion": 0 }
"cost": {
"inputCentsPerMillion": 1,
"outputCentsPerMillion": 0
}
},
{
"id": "openai/gpt-5.2-chat",
"displayName": "GPT-5.2 Instant",
"description": "Fast, low-latency variant of GPT-5.2 optimized for chat",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 175, "outputCentsPerMillion": 1400 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 175,
"outputCentsPerMillion": 1400
}
},
{
"id": "openai/gpt-5.2-pro",
"displayName": "GPT-5.2 Pro",
"description": "Most advanced GPT-5.2 variant for complex reasoning tasks",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 2100, "outputCentsPerMillion": 16800 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 2100,
"outputCentsPerMillion": 16800
}
},
{
"id": "anthropic/claude-sonnet-4.6",
"displayName": "Claude Sonnet 4.6",
"description": "Balanced performance and speed for everyday tasks",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 300, "outputCentsPerMillion": 1500 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 300,
"outputCentsPerMillion": 1500
}
},
{
"id": "anthropic/claude-haiku-4.5",
"displayName": "Claude Haiku 4.5",
"description": "Fast and compact model for lightweight tasks",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 100, "outputCentsPerMillion": 500 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 100,
"outputCentsPerMillion": 500
}
},
{
"id": "google/gemini-3.1-pro-preview",
"displayName": "Gemini 3 Pro",
"description": "Google's most capable Gemini model",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 200, "outputCentsPerMillion": 1200 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 200,
"outputCentsPerMillion": 1200
}
},
{
"id": "google/gemini-3-flash-preview",
"displayName": "Gemini 3 Flash",
"description": "Fast and efficient Gemini model",
"tags": ["chat", "vision"],
"cost": { "inputCentsPerMillion": 50, "outputCentsPerMillion": 300 }
"tags": [
"chat",
"vision"
],
"cost": {
"inputCentsPerMillion": 50,
"outputCentsPerMillion": 300
}
},
{
"id": "mistralai/mistral-large-2512",
"displayName": "Mistral Large 3",
"description": "Mistral AI's flagship large language model",
"tags": ["chat"],
"tags": [
"chat"
],
"maxOutputTokens": 8192,
"cost": { "inputCentsPerMillion": 50, "outputCentsPerMillion": 150 }
"cost": {
"inputCentsPerMillion": 50,
"outputCentsPerMillion": 150
}
},
{
"id": "mistralai/mistral-medium-3",
"displayName": "Mistral Medium 3",
"description": "Balanced Mistral model for general tasks",
"tags": ["chat"],
"tags": [
"chat"
],
"maxOutputTokens": 8192,
"cost": { "inputCentsPerMillion": 40, "outputCentsPerMillion": 200 }
"cost": {
"inputCentsPerMillion": 40,
"outputCentsPerMillion": 200
}
},
{
"id": "meta-llama/llama-4-maverick",
"displayName": "LLaMA 4 Maverick",
"description": "Meta's powerful open-source large language model",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 15, "outputCentsPerMillion": 60 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 15,
"outputCentsPerMillion": 60
}
},
{
"id": "meta-llama/llama-4-scout",
"displayName": "LLaMA 4 Scout",
"description": "Meta's efficient open-source language model",
"tags": ["chat"],
"cost": { "inputCentsPerMillion": 8, "outputCentsPerMillion": 30 }
"tags": [
"chat"
],
"cost": {
"inputCentsPerMillion": 8,
"outputCentsPerMillion": 30
}
}
],
"i18n": {
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1 change: 1 addition & 0 deletions services/platform/app/features/chat/hooks/use-convex-file-upload.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -195,6 +195,7 @@ export function useConvexFileUpload(config: ConvexFileUploadConfig) {
fileName: fileToUpload.name,
contentType: resolvedType || 'application/octet-stream',
size: fileToUpload.size,
source: 'user' as const,

@coderabbitai coderabbitai Bot Apr 11, 2026

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⚠️ Potential issue | 🟡 Minor

🧩 Analysis chain

🏁 Script executed:

# First, let's find and read the file
fd -t f "use-convex-file-upload.ts" services/

Repository: tale-project/tale

Length of output: 128

🏁 Script executed:

# Read the file with context around line 198
cat -n services/platform/app/features/chat/hooks/use-convex-file-upload.ts | sed -n '190,210p'

Repository: tale-project/tale

Length of output: 909

🏁 Script executed:

# Get more context to see the full function/mutation call
cat -n services/platform/app/features/chat/hooks/use-convex-file-upload.ts | sed -n '170,220p'

Repository: tale-project/tale

Length of output: 2032

🏁 Script executed:

# Find the saveFileMetadata function definition
rg -t ts "saveFileMetadata" services/platform --max-count 10 -B 2

Repository: tale-project/tale

Length of output: 9817

🏁 Script executed:

# Search for the import of saveFileMetadata in the file
cat services/platform/app/features/chat/hooks/use-convex-file-upload.ts | head -50

Repository: tale-project/tale

Length of output: 1584

🏁 Script executed:

# Find the mutations.ts file for file_metadata
cat -n services/platform/convex/file_metadata/mutations.ts | head -100

Repository: tale-project/tale

Length of output: 2729

Remove the unnecessary type assertion on source.

Line 198: The Convex schema for saveFileMetadata explicitly defines source: v.optional(v.union(v.literal('user'), v.literal('agent'))), which means the literal string 'user' is already the correct type. Remove as const and use source: 'user' directly.

🤖 Prompt for AI Agents 
Verify each finding against the current code and only fix it if needed.

In `@services/platform/app/features/chat/hooks/use-convex-file-upload.ts` at line
198, Replace the unnecessary type assertion on the `source` field in
use-convex-file-upload.ts: locate the object literal where `source: 'user' as
const` is set (inside the Convex saveFileMetadata call) and remove the `as
const` so it becomes `source: 'user'`; this matches the Convex schema
`v.optional(v.union(v.literal('user'), v.literal('agent')))` and avoids an
unneeded assertion.

});

const attachment: FileAttachment = {
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