mirror of
https://github.com/FJurmanovic/sugarr.git
synced 2026-11-11 15:51:09 +00:00
Fran Jurmanović
ae8bfaa2eb
- ApiClient: strip query string from ApiError messages so API keys (e.g. TMDb's api_key query param) never leak into 500 response bodies or logs. - LlmTool: accept an optional defaultModel, wired from AppConfig's LLM_MODEL, so Langfuse prompts that omit a model config fall back to the configured LLM rather than silently requesting gpt-4o-mini. - RecommendationPipeline: restore the Go original's graceful degradation — library/Radarr fetch failures, per-suggestion TMDb resolution failures, and per-signal TMDb similarity/recommendation failures are now logged and skipped instead of aborting the whole run (applies to both runInternal and searchAsync). - RecommendationsController: validate the ?count= query param (must be a positive integer) instead of silently producing NaN. - Commit the Langfuse prompt definitions (langfuse/*.prompt.json) and add a README covering setup, prompt seeding, cache invalidation, and the HTTP API surface — the branch was not otherwise runnable by anyone but the author.
21 lines
542 B
JSON
21 lines
542 B
JSON
{
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"name": "movie-search",
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"type": "chat",
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"prompt": [
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{
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"role": "system",
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"content": "You are a movie recommendation engine. Return ONLY a JSON array of {{count}} movies matching the user's request. No other text.\nEach entry: {\"title\": \"Movie Title\", \"year\": 2024, \"reason\": \"brief reason\"}"
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},
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{
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"role": "user",
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"content": "The user is looking for: {{query}}"
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}
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],
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"config": {
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"model": "llama3",
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"temperature": 0.7,
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"maxTokens": 1024
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},
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"labels": ["production"]
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}
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