Ireneusz Bachanowicz
0c468c0a69
- Added FastAPI application to handle Jira webhooks. - Created Pydantic models for Jira payload and LLM output. - Integrated LangChain with OpenAI and Ollama for LLM processing. - Set up Langfuse for tracing and monitoring. - Implemented analysis logic for Jira tickets, including sentiment analysis and label suggestions. - Added test endpoint for LLM integration. - Updated requirements.txt to include necessary dependencies and versions.
30 lines
958 B
YAML
30 lines
958 B
YAML
# Default application configuration
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llm:
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# The mode to run the application in.
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# Can be 'openai' or 'ollama'.
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# This can be overridden by the LLM_MODE environment variable.
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mode: ollama
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# Settings for OpenAI-compatible APIs (like OpenRouter)
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openai:
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# It's HIGHLY recommended to set this via an environment variable
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# instead of saving it in this file.
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# Can be overridden by OPENAI_API_KEY
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api_key: "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"
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# Can be overridden by OPENAI_API_BASE_URL
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api_base_url: "https://openrouter.ai/api/v1"
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# Can be overridden by OPENAI_MODEL
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model: "deepseek/deepseek-chat:free"
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# Settings for Ollama
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ollama:
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# Can be overridden by OLLAMA_BASE_URL
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base_url: "http://localhost:11434"
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# Can be overridden by OLLAMA_MODEL
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# model: "phi4-mini:latest"
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# model: "qwen3:1.7b"
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model: "smollm:360m"
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