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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DELEGATE_MODELYesThe model to use for delegation.
DELEGATE_API_KEYNoAPI key for the endpoint, if required.
DELEGATE_BASE_URLNoThe base URL of the OpenAI-compatible endpoint (e.g., Ollama, OpenRouter).
DELEGATE_MAX_CONCURRENCYNoMaximum number of concurrent delegations across both tools and any backend.4

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
delegate_taskA

Delegate a single-shot task to a configured OpenAI-compatible model (e.g. local Ollama or OpenRouter) and return its text response verbatim.

Args: prompt: The task/question to send to the delegated model. model: Override just the model string for this call. system_prompt: Optional system prompt to steer the delegated model. backend: Named backend from models.json (base_url/model/api_key) to use instead of the default DELEGATE_* env vars. model, if also given, overrides the model within that backend. capture_transcript: Log the full message exchange for later retrieval via get_delegation_transcript. Off by default; useful when comparing models (e.g. a bake-off) rather than for routine use.

delegate_agentic_taskA

Delegate a multi-step task to a model with its own tool-use loop (read_file, write_file, run_bash) scoped to working_dir. Runs until the model stops calling tools, hits max_iterations, or exceeds timeout_seconds. Returns only the final answer, not the full transcript.

The delegated model gets unattended file/bash access within working_dir for the duration of the call - point it at a directory you're comfortable it can read, write, and execute commands in.

Args: task: The task instruction to give the delegated model. working_dir: Directory the model's tools are scoped to. model: Override just the model string for this call. max_iterations: Stop after this many tool-call rounds. timeout_seconds: Wall-clock budget for the whole task. backend: Named backend from models.json (base_url/model/api_key) to use instead of the default DELEGATE_* env vars. model, if also given, overrides the model within that backend. capture_transcript: Log every model message and tool call/result for later retrieval via get_delegation_transcript, instead of just the final answer. Off by default; useful when comparing models (e.g. a bake-off) rather than for routine use.

list_recent_delegationsA

List the most recent delegate_task / delegate_agentic_task calls (backend, model, task, duration, iterations, success, token usage, USD cost if the model has a pricing.json entry, truncated result), most recent first. Answers "what did the delegated model actually do" without re-running anything.

Args: limit: Max number of records to return (default 20).

get_delegation_transcriptA

Full message transcript (every model message and tool call/result) for one delegation, if it was run with capture_transcript=True. Get the id from list_recent_delegations. Returns an error string if no transcript was captured for that id.

Args: delegation_id: The id field from a list_recent_delegations row.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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