Feature/litellm proxy (#27)

* 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>

backend/toolbox/workflows/llm_secret_detection/metadata.yaml

@@ -30,5 +30,42 @@ parameters:
       type: integer
       default: 20
 
+    max_file_size:
+      type: integer
+      default: 30000
+      description: "Maximum file size in bytes"
+
+    timeout:
+      type: integer
+      default: 30
+      description: "Timeout per file in seconds"
+
+    file_patterns:
+      type: array
+      items:
+        type: string
+      default:
+        - "*.py"
+        - "*.js"
+        - "*.ts"
+        - "*.java"
+        - "*.go"
+        - "*.env"
+        - "*.yaml"
+        - "*.yml"
+        - "*.json"
+        - "*.xml"
+        - "*.ini"
+        - "*.sql"
+        - "*.properties"
+        - "*.sh"
+        - "*.bat"
+        - "*.config"
+        - "*.conf"
+        - "*.toml"
+        - "*id_rsa*"
+        - "*.txt"
+      description: "File patterns to scan for secrets"
+
 required_modules:
   - "llm_secret_detector"

backend/toolbox/workflows/llm_secret_detection/workflow.py

@@ -17,6 +17,7 @@ class LlmSecretDetectionWorkflow:
         llm_model: Optional[str] = None,
         llm_provider: Optional[str] = None,
         max_files: Optional[int] = None,
+        max_file_size: Optional[int] = None,
         timeout: Optional[int] = None,
         file_patterns: Optional[list] = None
     ) -> Dict[str, Any]:
@@ -67,6 +68,8 @@ class LlmSecretDetectionWorkflow:
                 config["llm_provider"] = llm_provider
             if max_files:
                 config["max_files"] = max_files
+            if max_file_size:
+                config["max_file_size"] = max_file_size
             if timeout:
                 config["timeout"] = timeout
             if file_patterns: