78ea029a0b
- Added support for running CLI and Ollama server via Docker - Introduced tests for local embeddings model and standalone Docker setup - Enabled conditional Ollama server launch via LLM_PROVIDER
37 lines
1.3 KiB
Plaintext
37 lines
1.3 KiB
Plaintext
# This is an example .env file for the Trading Agent project.
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# Copy this file to .env and fill in your API keys and environment configurations.
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# "NOTE: When using for `docker` command do not use quotes around the values, otherwise environment variables will not be set."
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# API Keys
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# Set your OpenAI API key, for OpenAI, Ollama or other OpenAI-compatible models
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OPENAI_API_KEY=<your-openai-key>
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# Set your Finnhub API key
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FINNHUB_API_KEY=<your_finnhub_api_key_here>
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#LLM Configuration for OpenAI
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# Set LLM_Provider to one of: openai, anthropic, google, openrouter or ollama,
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LLM_PROVIDER=openai
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# Set the API URL for the LLM backend
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LLM_BACKEND_URL=https://api.openai.com/v1
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# Uncomment for LLM Configuration for local ollama
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#LLM_PROVIDER=ollama
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## For Ollama running in the same container, /v1 added for OpenAI compatibility
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#LLM_BACKEND_URL=http://localhost:11434/v1
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# Set name of the Deep think model
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LLM_DEEP_THINK_MODEL=llama3.2
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## Setname of the quick think model
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LLM_QUICK_THINK_MODEL=qwen3
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# Set the name of the embedding model
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LLM_EMBEDDING_MODEL=nomic-embed-text
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# Agent Configuration
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# Maximum number of debate rounds for the agent to engage in choose from 1, 3, 5
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MAX_DEBATE_ROUNDS=1
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# Set to False if you want to disable tools that access the internet
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ONLINE_TOOLS=True
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