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a2c760ea2b
* 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>
41 lines
1.5 KiB
Plaintext
41 lines
1.5 KiB
Plaintext
# FuzzForge Agent Configuration
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# Copy this to .env and configure your API keys and proxy settings
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# LiteLLM Model Configuration (default routed through the proxy)
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LITELLM_MODEL=openai/gpt-5
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LITELLM_PROVIDER=openai
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# Leave empty to let bootstrap mirror the LiteLLM model list dynamically.
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LITELLM_DEFAULT_MODELS=
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# Proxy configuration
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# Base URL is used by the task agent to talk to the proxy container inside Docker.
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# When running everything locally without Docker networking, replace with http://localhost:10999.
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FF_LLM_PROXY_BASE_URL=http://llm-proxy:4000
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# Virtual key placeholder. The bootstrap job replaces this with a LiteLLM
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# proxy-issued key on startup so the task agent authenticates via the gateway.
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OPENAI_API_KEY=sk-proxy-default
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# LiteLLM proxy configuration
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LITELLM_MASTER_KEY=sk-master-key
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LITELLM_SALT_KEY=choose-a-random-string
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# LiteLLM UI login (defaults to admin/fuzzforge123 if not overridden)
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UI_USERNAME=fuzzforge
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UI_PASSWORD=fuzzforge123
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# Optional: override OTEL exporter endpoint if using a remote collector
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# OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4317
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# LITELLM_DEFAULT_KEY_BUDGET=25
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# LITELLM_DEFAULT_KEY_DURATION=7d
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# Upstream provider secrets (ingested by the proxy only). The bootstrapper copies
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# these into volumes/env/.env.litellm so other containers never see the raw keys.
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# LITELLM_OPENAI_API_KEY=
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# LITELLM_ANTHROPIC_API_KEY=
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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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# Agent behaviour
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# DEFAULT_TIMEOUT=120
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# DEFAULT_CONTEXT_ID=default
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