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https://github.com/FuzzingLabs/fuzzforge_ai.git
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Songbird99
f77c3ff1e9
* feat: seed governance config and responses routing * Add env-configurable timeout for proxy providers * Integrate LiteLLM OTEL collector and update docs * Make .env.litellm optional for LiteLLM proxy * Add LiteLLM proxy integration with model-agnostic virtual keys Changes: - Bootstrap generates 3 virtual keys with individual budgets (CLI: $100, Task-Agent: $25, Cognee: $50) - Task-agent loads config at runtime via entrypoint script to wait for bootstrap completion - All keys are model-agnostic by default (no LITELLM_DEFAULT_MODELS restrictions) - Bootstrap handles database/env mismatch after docker prune by deleting stale aliases - CLI and Cognee configured to use LiteLLM proxy with virtual keys - Added comprehensive documentation in volumes/env/README.md Technical details: - task-agent entrypoint waits for keys in .env file before starting uvicorn - Bootstrap creates/updates TASK_AGENT_API_KEY, COGNEE_API_KEY, and OPENAI_API_KEY - Removed hardcoded API keys from docker-compose.yml - All services route through http://localhost:10999 proxy * Fix CLI not loading virtual keys from global .env Project .env files with empty OPENAI_API_KEY values were overriding the global virtual keys. Updated _load_env_file_if_exists to only override with non-empty values. * Fix agent executor not passing API key to LiteLLM The agent was initializing LiteLlm without api_key or api_base, causing authentication errors when using the LiteLLM proxy. Now reads from OPENAI_API_KEY/LLM_API_KEY and LLM_ENDPOINT environment variables and passes them to LiteLlm constructor. * Auto-populate project .env with virtual key from global config When running 'ff init', the command now checks for a global volumes/env/.env file and automatically uses the OPENAI_API_KEY virtual key if found. This ensures projects work with LiteLLM proxy out of the box without manual key configuration. * docs: Update README with LiteLLM configuration instructions Add note about LITELLM_GEMINI_API_KEY configuration and clarify that OPENAI_API_KEY default value should not be changed as it's used for the LLM proxy. * Refactor workflow parameters to use JSON Schema defaults Consolidates parameter defaults into JSON Schema format, removing the separate default_parameters field. Adds extract_defaults_from_json_schema() helper to extract defaults from the standard schema structure. Updates LiteLLM proxy config to use LITELLM_OPENAI_API_KEY environment variable. * Remove .env.example from task_agent * Fix MDX syntax error in llm-proxy.md * fix: apply default parameters from metadata.yaml automatically Fixed TemporalManager.run_workflow() to correctly apply default parameter values from workflow metadata.yaml files when parameters are not provided by the caller. Previous behavior: - When workflow_params was empty {}, the condition `if workflow_params and 'parameters' in metadata` would fail - Parameters would not be extracted from schema, resulting in workflows receiving only target_id with no other parameters New behavior: - Removed the `workflow_params and` requirement from the condition - Now explicitly checks for defaults in parameter spec - Applies defaults from metadata.yaml automatically when param not provided - Workflows receive all parameters with proper fallback: provided value > metadata default > None This makes metadata.yaml the single source of truth for parameter defaults, removing the need for workflows to implement defensive default handling. Affected workflows: - llm_secret_detection (was failing with KeyError) - All other workflows now benefit from automatic default application Co-authored-by: tduhamel42 <tduhamel@fuzzinglabs.com>
66 lines
2.5 KiB
Bash
66 lines
2.5 KiB
Bash
# =============================================================================
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# FuzzForge LiteLLM Proxy Configuration
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# =============================================================================
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# Copy this file to .env and fill in your API keys
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# Bootstrap will automatically create virtual keys for each service
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# =============================================================================
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# LiteLLM Proxy Internal Configuration
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# -----------------------------------------------------------------------------
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FF_LLM_PROXY_BASE_URL=http://llm-proxy:4000
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LITELLM_MASTER_KEY=sk-master-test
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LITELLM_SALT_KEY=super-secret-salt
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# Default Models (comma-separated, leave empty for model-agnostic access)
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# -----------------------------------------------------------------------------
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# Examples:
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# openai/gpt-5-mini,openai/text-embedding-3-large
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# anthropic/claude-sonnet-4-5-20250929,openai/gpt-5-mini
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# (empty = unrestricted access to all registered models)
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LITELLM_DEFAULT_MODELS=
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# Upstream Provider API Keys
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# -----------------------------------------------------------------------------
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# Add your real provider keys here - these are used by the proxy to call LLM providers
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LITELLM_OPENAI_API_KEY=your-openai-key-here
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LITELLM_ANTHROPIC_API_KEY=your-anthropic-key-here
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LITELLM_GEMINI_API_KEY=
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LITELLM_MISTRAL_API_KEY=
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LITELLM_OPENROUTER_API_KEY=
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# Virtual Keys Budget & Duration Configuration
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# -----------------------------------------------------------------------------
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# These control the budget and duration for auto-generated virtual keys
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# Task Agent Key - used by task-agent service for A2A LiteLLM calls
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TASK_AGENT_BUDGET=25.0
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TASK_AGENT_DURATION=30d
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# Cognee Key - used by Cognee for knowledge graph ingestion and queries
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COGNEE_BUDGET=50.0
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COGNEE_DURATION=30d
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# General CLI/SDK Key - used by ff CLI and fuzzforge-sdk
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CLI_BUDGET=100.0
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CLI_DURATION=30d
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# Virtual Keys (auto-generated by bootstrap - leave blank)
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# -----------------------------------------------------------------------------
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TASK_AGENT_API_KEY=
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COGNEE_API_KEY=
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OPENAI_API_KEY=
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# LiteLLM Proxy Client Configuration
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# -----------------------------------------------------------------------------
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# For CLI and SDK usage (Cognee, ff ingest, etc.)
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LITELLM_PROXY_API_BASE=http://localhost:10999
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LLM_ENDPOINT=http://localhost:10999
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LLM_PROVIDER=openai
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LLM_MODEL=litellm_proxy/gpt-5-mini
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LLM_API_BASE=http://localhost:10999
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LLM_EMBEDDING_MODEL=litellm_proxy/text-embedding-3-large
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# UI Access
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# -----------------------------------------------------------------------------
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UI_USERNAME=fuzzforge
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UI_PASSWORD=fuzzforge123
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