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https://github.com/GH05TCREW/pentestagent.git
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567e25ed8c
- Add /token command to help and align all help entries via two-column layout - Increase help modal height so Close button remains visible (no scroll) - Refresh .env.example: remove unused LLM_PROVIDER, switch to OLLAMA_BASE_URL, add embeddings/debug/context budgeting, pricing vars, and daily token limit
71 lines
2.5 KiB
Plaintext
71 lines
2.5 KiB
Plaintext
# PentestAgent Configuration
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# API Keys (set at least one for chat model)
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OPENAI_API_KEY=
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ANTHROPIC_API_KEY=
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GEMINI_API_KEY=
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# For web search functionality (optional)
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TAVILY_API_KEY=
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# Chat Model (any LiteLLM-supported model)
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# OpenAI: gpt-5, gpt-4.1, gpt-4.1-mini
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# Anthropic: claude-sonnet-4-20250514, claude-opus-4-20250514
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# Google: gemini models require gemini/ prefix (e.g., gemini/gemini-2.5-flash)
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# Other providers: azure/, bedrock/, groq/, ollama/, together_ai/ (see litellm docs)
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PENTESTAGENT_MODEL=gpt-5
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# Provider selection:
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# Note: The app determines provider from `PENTESTAGENT_MODEL` prefix
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# (e.g., `ollama/...`, `gpt-5`, `claude-...`, `gemini/...`). No separate
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# `LLM_PROVIDER` variable is used.
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# Ollama base URL (set this when using an `ollama/...` model)
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# Example: http://127.0.0.1:11434 or http://192.168.0.165:11434
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OLLAMA_BASE_URL=http://127.0.0.1:11434
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# Example local model string (uncomment to use instead of gpt-5)
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# PENTESTAGENT_MODEL="ollama/qwen2.5:7b-instruct"
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# Embeddings (for RAG knowledge base)
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# Options: openai, local (default: openai if OPENAI_API_KEY set, else local)
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PENTESTAGENT_EMBEDDINGS=local
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# Settings
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PENTESTAGENT_DEBUG=true
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# Optional: manually declare model/context and daily token budgeting
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# Useful when provider metadata isn't available or you want to enforce local limits.
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# Set the model's maximum context window (in tokens). Example values:
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# - Gemini large: 131072
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# - Gemini flash: 65536
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# - Ollama local model: 8192
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# PENTESTAGENT_MODEL_MAX_CONTEXT=131072
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# Optional daily token budget tracking (integers, tokens):
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# - Set the total token allowance you want to track per day
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# - Set the current used amount (optional; defaults to 0)
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# PENTESTAGENT_DAILY_TOKEN_BUDGET=500000
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# PENTESTAGENT_DAILY_TOKEN_USED=0
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# ---------------------------------------------------------------------------
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# Example pricing & daily token limit used by `/token` diagnostics
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# Uncomment and adjust to enable cost calculations.
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# Per 1M tokens pricing (USD):
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# Example (input at $2.00 / 1M, output at $12.00 / 1M)
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INPUT_COST_PER_MILLION=2.0
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OUTPUT_COST_PER_MILLION=12.0
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# Optional unified override (applies to both input and output)
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# COST_PER_MILLION=14.0
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# Example daily budget (tokens)
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DAILY_TOKEN_LIMIT=1000000
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# ---------------------------------------------------------------------------
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# Agent max iterations (regular agent + crew workers, default: 30)
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# PENTESTAGENT_AGENT_MAX_ITERATIONS=30
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# Orchestrator max iterations (crew mode coordinator, default: 50)
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# PENTESTAGENT_ORCHESTRATOR_MAX_ITERATIONS=50 |