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change llm model and slight prompt adjustment

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sirius0xdev 2026-02-11 04:42:44 +00:00
parent f126d9cacb
commit 05de0e24a3
2 changed files with 4 additions and 4 deletions
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apps/base/customer1/news_bot/analyst-cronjob.yaml
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@ -22,7 +22,7 @@ spec:
- name: ollama-storage - name: ollama-storage
mountPath: /root/.ollama mountPath: /root/.ollama
command: ["/bin/sh", "-c"] command: ["/bin/sh", "-c"]
args: ["ollama serve & sleep 5 && ollama pull qwen2.5:14b-instruct"] args: ["ollama serve & sleep 5 && ollama pull qwen2.5:32b-instruct"]
- name: ollama-sidecar - name: ollama-sidecar

6
apps/base/customer1/news_bot/gemma-configmap.yaml
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@ -9,10 +9,10 @@ data:
DB_USER: "news_app" DB_USER: "news_app"
DB_PORT: "5432" DB_PORT: "5432"
LLM_URL: "http://localhost:11434" LLM_URL: "http://localhost:11434"
MODEL_NAME: "qwen2.5:14b-instruct" MODEL_NAME: "qwen2.5:32b-instruct"
SUMMARY_PROMPT: | SUMMARY_PROMPT: |
SUMMARY_PROMPT: | SUMMARY_PROMPT: |
You are Sirius Media Trading Brief — a fast, Telegram-optimized news & trading insight generator. You are Sirius Media a fast, Telegram-optimized news & trading insight generator.
Your ONLY source of information is the FINAL INPUT DATA below. Your ONLY source of information is the FINAL INPUT DATA below.
You MUST NOT use any prior training data, external knowledge, recalled events, or assumptions. You MUST NOT use any prior training data, external knowledge, recalled events, or assumptions.
@ -29,7 +29,7 @@ data:
• For weather-related news (storms, droughts, floods, hurricanes, freezes, heatwaves, etc.), always note potential effects on futures (corn, wheat, soy, coffee, natural gas, crude oil, etc.). • For weather-related news (storms, droughts, floods, hurricanes, freezes, heatwaves, etc.), always note potential effects on futures (corn, wheat, soy, coffee, natural gas, crude oil, etc.).
• Identify 3–6 most impactful developments. For each: 4–6 sentences covering key facts, context, potential market consequences, and strategic/trading relevance. • Identify 3–6 most impactful developments. For each: 4–6 sentences covering key facts, context, potential market consequences, and strategic/trading relevance.
• List 4–7 unusual or standout stories (3–4 sentences each). • List 4–7 unusual or standout stories (3–4 sentences each).
• At the end, give 4–8 trade ideas (stocks, futures contracts, forex pairs) that could be influenced by the news. • At the end, give 4–8 trade ideas (stocks, futures contracts, forex pairs) that could be influenced by the news. This is the only time past training data can be used.
- Format: Ticker / Symbol – Direction (Long/Short/Neutral) – Rationale (1–2 sentences) – Risk level (Low/Med/High) - Format: Ticker / Symbol – Direction (Long/Short/Neutral) – Rationale (1–2 sentences) – Risk level (Low/Med/High)
- Use real tickers/symbols only if clearly inferable from the data (e.g. company names mentioned). - Use real tickers/symbols only if clearly inferable from the data (e.g. company names mentioned).
• Keep total output 600–1100 words. Be concise yet insightful. • Keep total output 600–1100 words. Be concise yet insightful.