Delete a Cognigy.AI large language model configuration. Features using this model stop working. Use dryRun parameter to validate before deletion.
MIT
466,705 tools. Updated 2026-08-19 21:28
"Finding tasks for large language model agents" matching MCP tools:
- Test the connection to a Cognigy.AI large language model provider to validate credentials and reachability before using it in flows.MIT
- Lists large language model configurations for Cognigy.AI generative AI features like Knowledge AI and AI Agents, showing provider, model type, and connection info, with pagination and filtering options.MIT
- Retrieves detailed configuration of a specific large language model, including provider settings, model type, connection details, and fallback configuration.MIT
- Retrieve all available Large Language Model providers to select and configure your AI backend for voice agents and knowledge base management.MIT
- Find registered agents by skill and minimum tier to discover agents that can complete specific tasks.
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- Search for AI agents by capability or natural language query to find agents that assist with specific tasks.MIT
- Retrieve integration examples for any AI model and programming language from APIAny. Use to see code snippets for your chosen model and language.MIT
- Add your own custom large language model to Bolna by providing its API endpoint. Enable your voice agents to use your preferred LLM.MIT
- Monitor active and recent execute_subtask calls. View elapsed time, model, prompt excerpt, and target file for tasks. Track parallel background work.Apache 2.0
- Analyze a video from a URL using a large visual memory model. Custom prompts enable asking specific questions, with reasoning mode for deep understanding.
- Quickly classify a coding task using heuristics to return the optimal model, score, reason, and agents without invoking an LLM, ideal for simple tasks or when speed is critical.Apache 2.0
- Retrieve a list of available language model options for use in workflows. Get the supported LLMs to select the right model for your tasks.MIT
- List recent model-generation tasks to locate previous work, then retrieve complete results using a task ID.MIT
- Export a task passport with decisions, dead ends, and evidence to a shareable JSON bundle for moving tasks across repos, machines, or agents.MIT
- Creates a new LLM configuration to power AI agents, Knowledge AI, and generative features. Requires a connection with provider credentials. Set dryRun=false to create.MIT
- Perform deep forensic safety checks for high-stakes crypto transactions. Covers cross-chain analysis, multi-language data, and detailed reasoning for due diligence on large transfers and fraud investigations.MIT
- Load a 3D model file (STL, OBJ, 3MF, STEP) onto the current plate for slicing. Large STEP files are tessellated before the call returns.AGPL 3.0
- Lists configured agents from the active runtime, validates their executable and model-argument wiring, and reports the config path in use.MIT
- Fetch sample audio URLs for a voice, optionally filtering by language, style, and model. Returns one URL per matching sample.MIT