From 0b74ed969cc77f3a6f7911373e3a41253b92b7eb Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 18:40:38 +0700
Subject: [PATCH 1/6] test(mcp): freeze the v1 tool surface of both servers

Dumped on mcp 1.26 / pydantic-ai 1.78, the last lock before the move to the
2.x majors (FEAT-130): name, description, inputSchema and outputSchema of
every tool under the full profile. The parity test that reads it lands with
the bump.
---
 tests/fixtures/mcp_tool_surface_v1.json | 4786 +++++++++++++++++++++++
 1 file changed, 4786 insertions(+)
 create mode 100644 tests/fixtures/mcp_tool_surface_v1.json

diff --git a/tests/fixtures/mcp_tool_surface_v1.json b/tests/fixtures/mcp_tool_surface_v1.json
new file mode 100644
index 000000000..d76597a17
--- /dev/null
+++ b/tests/fixtures/mcp_tool_surface_v1.json
@@ -0,0 +1,4786 @@
+{
+  "condor": {
+    "control_agent": {
+      "description": "Run and steer live agent instances (start / stop / pause / resume).\n\n    An *instance* is one running session of an agent's loop, identified by\n    ``agent_id``. Start one from a loop \u2014 or from a bare agent slug, since\n    every agent is loopable. See `manage_agents` for the identities and\n    `manage_loops` for the playbooks; read what a running instance did with\n    `trading_agent_journal_read`.\n\n    STOP vs SHUTDOWN: \"stop\" halts the loop and KEEPS its open positions.\n    \"shutdown\" is the emergency exit \u2014 it winds down this session's positions and\n    executors per the agent's shutdown.md policy (closes perp, keeps spot by\n    default). Reach for \"stop\" unless the user wants to be out of the market.\n\n    Actions:\n    - \"list\": All running instances with status.\n    - \"start\": Start a session (requires loop_id, optional config overrides).\n      loop_id may be a BARE AGENT SLUG \u2014 the agent then runs its only\n      loop, or a default playbook created from its identity on first start.\n    - \"stop\": Stop a running instance, keeping positions (requires agent_id).\n    - \"shutdown\": Stop AND wind down positions/executors (requires agent_id).\n    - \"pause\": Pause a running instance (requires agent_id).\n    - \"resume\": Resume a paused instance (requires agent_id).\n    - \"get_state\" / \"set_state\": Read/write the instance's own scratch state\n      (requires agent_id; set_state also requires key). State is for cursors and\n      counters a loop would otherwise re-derive every tick \u2014 anything worth\n      *remembering* belongs in `manage_memory`. The namespace is derived from\n      agent_id, so an instance only ever sees its own.\n\n    Args:\n        action: The lifecycle action to take on the loop.\n        agent_id: The running instance (everything except list and start).\n        loop_id: Loop key \"agent_slug.loop_slug\", or a bare agent slug\n            (start only).\n        config: Overrides on the loop's defaults, for \"start\" only: agent_key,\n            model_base_url (for LM Studio/vLLM), execution_mode, frequency_sec,\n            tick_timeout_sec (wall-clock budget for one tick's agent session;\n            0 = runtime default of 600s), total_amount_quote, trading_context,\n            risk_limits, server_name, max_ticks.\n        key: State key. get_state reads one key, or the whole state if omitted;\n            set_state requires it.\n        value: JSON-serializable value to store (set_state).\n        expires_in: TTL in seconds for the stored value (set_state); None = no expiry.\n        clear: Delete ``key`` instead of writing it (set_state).\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "start",
+              "stop",
+              "pause",
+              "resume",
+              "shutdown",
+              "get_state",
+              "set_state",
+              "list_agents",
+              "start_agent",
+              "stop_agent",
+              "pause_agent",
+              "resume_agent",
+              "shutdown_agent"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent Id"
+          },
+          "clear": {
+            "default": false,
+            "title": "Clear",
+            "type": "boolean"
+          },
+          "config": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config"
+          },
+          "expires_in": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Expires In"
+          },
+          "key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Key"
+          },
+          "loop_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Loop Id"
+          },
+          "value": {
+            "default": null,
+            "title": "Value"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "control_agentArguments",
+        "type": "object"
+      },
+      "name": "control_agent",
+      "outputSchema": null
+    },
+    "delegate": {
+      "description": "Hand work to another agent \u2014 detached, or blocking for an answer.\n\n    DELEGATE is the ONLY way to reach another agent, and it has two shapes:\n\n    - **\"start\"** hands a goal-oriented task to a DETACHED agent that works\n      autonomously until done, then notifies the user \u2014 while you stay free to do\n      other things. Use it for \"go build/scan/produce X and ping me when\n      finished\" (e.g. \"create a routine that scans SOL pools\"). Add\n      ``on_complete=\"resume\"`` when you want the answer yourself, then end your\n      turn: you are woken with it.\n    - **\"ask\"** BLOCKS and returns the agent's answer as text. Use it when you\n      need another domain's answer to carry on with your own reasoning right now\n      (\"what range should this LP use?\") and the answer is not itself the\n      deliverable the user is waiting on.\n\n    Prefer \"start\" whenever there is a user watching: they get a task id, a\n    progress list and a transcript instead of a frozen turn. Prefer \"ask\" when\n    there is not \u2014 a tick or a background worker runs for nobody's conversation,\n    so \"resume\" has nothing to wake and \"notify\" would send the answer to the\n    user instead of to you.\n\n    Either way the agent runs unrestricted with full auto-approve, so reach for\n    another agent only when you trust it with the task.\n\n    The user tracks a delegation on whichever surface they are on \u2014 the\n    /delegations command in Telegram, the Tasks list in the chat's context dock\n    on the dashboard \u2014 and is pinged automatically when it finishes. Never invent\n    a status command (there is no \"/task\", and /delegations exists only in\n    Telegram); \"start\" returns a next_steps hint already worded for this session's\n    surface, so relay that rather than guessing.\n\n    Actions:\n    - \"start\": Begin a delegation (requires agent, task). Returns immediately with\n      {\"task_id\", \"status\": \"running\", \"next_steps\"} \u2014 does NOT wait for completion.\n    - \"ask\": Ask an agent and WAIT for its answer (requires agent, task). Returns\n      {\"agent\", \"answer\"}. Refused if you are yourself answering an ask (depth\n      stops at one) or if you name your own slug.\n    - \"list\": List in-flight/finished delegations (task_id, agent, status).\n    - \"get\": Get a delegation's status + result/error (requires task_id).\n    - \"stop\": Cancel a running delegation (requires task_id).\n\n    An agent may pass its OWN slug to start a background copy of itself (FEAT-041)\n    \u2014 same identity, playbooks and memory, running unattended on a long job while\n    the interactive session stays responsive. That copy cannot spawn a further copy\n    of itself; the recursion stops at depth one.\n\n    Args:\n        action: What to do with the agent or the delegation.\n        agent: Agent slug to reach (for start/ask). For \"start\" your own slug is\n            allowed and means \"a background session of me\"; for \"ask\" it is\n            refused, because asking yourself is a round trip through your own\n            brain.\n        task: The one-off task or question, in plain language (for start/ask).\n        task_id: Delegation id returned by start (for get/stop).\n        on_complete: What this conversation gets when the task ends (for start).\n            \"notify\" (default) pings the user with the result AND writes the\n            outcome into THIS conversation \u2014 recorded in the transcript and shown\n            in the chat as it lands, so an already-open session sees it without a\n            reload. What it does not do is give you a turn: the result is there\n            for the human to read, not handed back to you. So never tell the user\n            the result will not reach the chat. \"resume\" additionally hands the\n            result back to you in a new turn of THIS conversation, so use it when\n            you intend to do something with the result yourself (\"research X,\n            then draft the summary\"). With \"resume\" you must end your turn after\n            starting the task: you will be woken with the answer.\n        timeout_sec: Wall-clock budget for the whole background task, in seconds\n            (for start). Omit it (0) for the default of 900s. This knob only\n            goes UP: 900s is also the floor, and a smaller number is raised back\n            to it, so do not try to give a task less. Raise it when you KNOW the\n            job is long \u2014 several routines to build, a research sweep, a\n            multi-step backtest \u2014 because a task that outlives its budget is\n            cut off mid-run and loses whatever it had not finished. The ceiling\n            is 1800s: an agent session has its own ~31-minute hard stop, so\n            asking for more only delays the same cut-off. For work bigger than\n            that, split it across delegations.\n        context: Extra context for the agent \u2014 relevant numbers, the user's\n            intent (for ask).\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "start",
+              "ask",
+              "list",
+              "get",
+              "stop"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent": {
+            "default": "",
+            "title": "Agent",
+            "type": "string"
+          },
+          "context": {
+            "default": "",
+            "title": "Context",
+            "type": "string"
+          },
+          "on_complete": {
+            "default": "notify",
+            "enum": [
+              "notify",
+              "resume"
+            ],
+            "title": "On Complete",
+            "type": "string"
+          },
+          "task": {
+            "default": "",
+            "title": "Task",
+            "type": "string"
+          },
+          "task_id": {
+            "default": "",
+            "title": "Task Id",
+            "type": "string"
+          },
+          "timeout_sec": {
+            "default": 0,
+            "title": "Timeout Sec",
+            "type": "integer"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "delegateArguments",
+        "type": "object"
+      },
+      "name": "delegate",
+      "outputSchema": null
+    },
+    "get_available_models": {
+      "description": "List every model/provider currently usable for a trading agent's ``agent_key``.\n\n    Use this when helping the user pick a model for an agent they are building\n    (agent_builder skill) \u2014 recommend from what is ACTUALLY configured, not a\n    hardcoded default. Read-only; never returns key values.\n\n    Args:\n        openrouter_query: Optional substring to filter the OpenRouter catalog by\n            slug or name (e.g. \"claude\", \"deepseek\", \"free\"). Empty = no filter.\n        openrouter_limit: Max OpenRouter models to return (default 20, cheapest\n            input price first). ``total_matching`` reports how many matched.\n\n    Returns a dict with:\n      - acp_clis: subscription/CLI bridges (claude-code, gemini, copilot, \u2026),\n        each with ``agent_key``, ``available`` \u2014 the CLI is installed and\n        launchable \u2014 and ``logged_in``: true a credential for its interactive\n        login (Claude/Google/GitHub/OpenAI) was found on this machine, false none\n        was found where that CLI keeps one, null no marker exists to read\n        (Copilot) or the bridge isn't installed. ``available`` alone does NOT\n        mean signed in, and ``logged_in`` is a heuristic (a credential file can\n        still hold an expired token), so treat a bridge with ``logged_in`` false\n        or null as a candidate to CONFIRM with the user, and prefer a credential\n        you can verify (a set ``cloud_keys`` provider, or a loaded local model)\n        when recommending unprompted.\n      - cloud_keys: {provider: bool} \u2014 whether OPENROUTER/OPENAI/ANTHROPIC/GROQ/\n        GOOGLE keys are set in the environment.\n      - custom_endpoints: the user's own saved OpenAI-compatible endpoints, each\n        with ``name``, ``base_url``, ``reachable`` and the chat ``models`` it\n        serves (``agent_key`` set to ``custom@<endpoint>:<model-id>``). The\n        strongest signal here \u2014 the user added these deliberately and they are\n        re-validated on every call \u2014 so prefer a reachable one when it fits.\n      - local: {ollama, lmstudio} each with ``base_url``, ``reachable``, and the\n        ``models`` currently loaded on that server (empty if not running).\n      - openrouter: tool-capable catalog (``models`` with ``agent_key`` set to\n        ``openrouter:<slug>``, plus in/out $/Mtok and context). The catalog is\n        public so this is ALWAYS present \u2014 no key needed to recommend. Check\n        ``key_present``: false means these are options that need OPENROUTER_API_KEY\n        added (Settings) before they can run; recommend a runnable option first.\n\n    Guidance for choosing: correctness-critical or high-capital agents \u2192 a strong\n    model (a capable OpenRouter model when its key is set, or a subscription ACP\n    bridge the user confirms is signed in); simple\n    report/watch loops or privacy/offline needs \u2192 a loaded local model or a cheap\n    OpenRouter one. An agent's ``tools`` allowlist binds on every model, ACP\n    bridges included: a tool it leaves out is never mounted.\n    ",
+      "inputSchema": {
+        "properties": {
+          "openrouter_limit": {
+            "default": 20,
+            "title": "Openrouter Limit",
+            "type": "integer"
+          },
+          "openrouter_query": {
+            "default": "",
+            "title": "Openrouter Query",
+            "type": "string"
+          }
+        },
+        "title": "get_available_modelsArguments",
+        "type": "object"
+      },
+      "name": "get_available_models",
+      "outputSchema": null
+    },
+    "manage_agent_controllers": {
+      "description": "The Hummingbot controllers you OWN: source + sample configs in your folder,\n    pushed to the active server on demand. Read the `controller_sources` skill\n    before your first sync.\n\n    Layout: controllers/<name>/<name>.py, optional controllers/<name>/CONTROLLER.md\n    (description, `type:` when it cannot be inferred), and\n    controllers/<name>/sample_configs/<style>.yml. `_shared` controllers are\n    read by every agent (marked shared) and are read-only to agents.\n\n    Your folder is the source of truth; the server holds a copy. Never upload\n    folder-owned code with manage_controllers upsert.\n\n    Local actions:\n    - \"list\": your controllers, their type and styles.\n    - \"read\": source, CONTROLLER.md and styles (name); with sample=, that style's YAML.\n    - \"write\": save source (name, code) and/or CONTROLLER.md (controller_md); with\n      sample=, save that style (code = YAML text).\n    - \"delete\": delete a controller (name) or one style (name, sample).\n\n    Server actions (the session's active server):\n    - \"status\": per controller, missing | in_sync | drift | unreachable\n      (unreachable is NOT in sync). Optional name narrows it.\n    - \"sync\": upload a missing controller (name). A drifted one is refused with a\n      diff and an impact preview (impact_text: other agents sharing the name,\n      running bots left on the old class; the next backtest and new bots use the\n      new code, no API restart needed). overwrite=true is\n      accepted only after that preview (15 min, same server copy; else\n      preview_required) and backs up the server copy first. Show the user the\n      diff and impact_text verbatim and get their go-ahead before overwrite=true.\n    - \"upload_config\": save a style as a server config (name, sample), named\n      \"<name>__<sample>\" unless config_name is given. Idempotent; a differing\n      config is refused unless overwrite=true; needs the controller synced first.\n    - \"pull\": adopt a server controller into your folder (name, controller_type,\n      optional configs=[config ids] become styles).\n\n    Args:\n        action: The action to perform.\n        name: Controller name (folder == module == controller_name).\n        agent: Target agent's slug \u2014 Condor only (onboarding into an agent).\n        sample: A style (sample config stem) for read/write/delete/upload_config.\n        code: Controller source for write; YAML text when sample= is given.\n        controller_md: CONTROLLER.md text for write (frontmatter `type:`/`description:`).\n        controller_type: For pull \u2014 directional_trading, market_making or generic.\n        configs: For pull \u2014 server config ids to adopt as styles.\n        config_name: For upload_config \u2014 override the \"<name>__<sample>\" id.\n        overwrite: Replace a differing server copy (sync \u2014 only after a sync\n            without it previewed the impact; upload_config) or a differing\n            folder copy (pull).\n        shared: Condor only, without agent \u2014 target the _shared library.\n\n    Returns:\n        Action-specific result dict; refusals carry refused=true, reason and diff.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "read",
+              "write",
+              "delete",
+              "status",
+              "sync",
+              "upload_config",
+              "pull"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent"
+          },
+          "code": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Code"
+          },
+          "config_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config Name"
+          },
+          "configs": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Configs"
+          },
+          "controller_md": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Md"
+          },
+          "controller_type": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Type"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "overwrite": {
+            "default": false,
+            "title": "Overwrite",
+            "type": "boolean"
+          },
+          "sample": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Sample"
+          },
+          "shared": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Shared"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_agent_controllersArguments",
+        "type": "object"
+      },
+      "name": "manage_agent_controllers",
+      "outputSchema": null
+    },
+    "manage_agents": {
+      "description": "Create and edit agent identities (.condor/agents/{slug}/AGENT.md).\n\n    An *agent* (e.g. \"executor_manager\", \"brigado\") is an identity \u2014 the brain,\n    and the primary artifact. It is created FIRST; everything else hangs off its\n    slug. From the moment it exists it can be delegated to\n    (`delegate`) and looped (`control_agent(action=\"start\")`) \u2014 there is no\n    capability flag and nothing to enable. See `manage_loops` for the\n    playbooks an agent owns, `control_agent` for its running instances.\n\n    Actions:\n    - \"list\": All agents with their when_to_consult hint, owned loops,\n      agent_key and tools. Use this to answer \"what agents exist?\" \u2014 loops\n      and running instances do NOT show agents that own no loop.\n    - \"create\": New agent (AGENT.md identity + brain). Requires name. Returns\n      agent_slug \u2014 use it for routines and loops.\n    - \"get\": Full definition including the AGENT.md body (requires agent_slug).\n    - \"update\": Change AGENT.md / metadata (requires agent_slug + fields to change).\n    - \"delete\": Delete an agent (requires agent_slug; refuses if it still owns\n      loops). Refused outright for an agent the repo ships \u2014 mute or edit\n      it instead; an update would bring a deleted one straight back.\n    - \"publish\": ADMIN ONLY. Copy a local agent into the tracked library the\n      repo ships (requires agent_slug; `path` narrows it to one skill or\n      loop). Every other write lands under .condor/agents/, so this is the\n      only way to author what other installs receive. It leaves the repo dirty\n      on purpose \u2014 review and commit. There is no \"install\": a shipped agent is\n      present the moment an install pulls.\n\n    Args:\n        action: What to do with the agent definition.\n        agent_slug: The agent to act on (get/update/delete).\n        name: Agent name (create/update).\n        description: Agent description (create/update).\n        instructions: The AGENT.md body \u2014 identity + domain knowledge (create/update).\n        agent_key: Default LLM. Examples: \"claude-code\", \"gemini\", \"copilot\",\n            \"ollama:llama3.1\", \"ollama:qwen3:32b\", \"groq:llama-3.3-70b-versatile\".\n            Any model can run an agent, and every one is held to the tools\n            allowlist. Default \"claude-code\".\n        tools: Tool-name allowlist for the agent. Empty/None = unrestricted. A\n            tool it omits is never mounted on any model, so keep the family the\n            inherited framework playbooks call \u2014 delegate, send_notification,\n            run_code, manage_memory, manage_skill, manage_routines,\n            manage_agent_controllers,\n            trading_agent_journal_read, trading_agent_journal_write,\n            manage_agents, manage_loops, control_agent,\n            get_available_models \u2014 plus every tool the agent's own playbooks name.\n        when_to_consult: One-line hint describing when to route work to this agent.\n            Purely for routing \u2014 every agent is delegable with or without it; it\n            falls back to the description.\n        server_required: Whether the agent needs a Hummingbot server. Default True.\n        server_name: Pin the agent to a specific hummingbot-api server. LEAVE EMPTY\n            unless the user explicitly asks to pin this agent to one server \u2014 empty\n            means follow the ambient chat server, which is what travels to other\n            installs. When set, the agent's mcp-hummingbot subprocess and any\n            loop it deploys use THIS server regardless of the chat's active\n            server, and on a machine without that server the agent is broken. Do\n            not fill it in with whatever server the chat happens to be on.\n        path: For \"publish\" only \u2014 narrow to one item of the agent, relative to\n            its directory (\"skills/lp_rebalance\", \"loops/grid\", \"AGENT.md\").\n            Empty publishes the whole agent's library half; its store, journals,\n            mutes and session output are never published.\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "create",
+              "get",
+              "update",
+              "delete",
+              "publish",
+              "list_agent_definitions",
+              "create_agent",
+              "get_agent",
+              "update_agent",
+              "delete_agent",
+              "publish_agent"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent Key"
+          },
+          "agent_slug": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent Slug"
+          },
+          "description": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Description"
+          },
+          "instructions": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Instructions"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "path": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Path"
+          },
+          "server_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Server Name"
+          },
+          "server_required": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Server Required"
+          },
+          "tools": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Tools"
+          },
+          "when_to_consult": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "When To Consult"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_agentsArguments",
+        "type": "object"
+      },
+      "name": "manage_agents",
+      "outputSchema": null
+    },
+    "manage_loops": {
+      "description": "Create and edit loops \u2014 the playbook an agent follows each tick when it runs on its own.\n\n    A *loop* is a sub-resource of an agent: the instructions it follows every\n    tick, plus its default config. It is an optimization over the default\n    playbook every agent already loops, so an agent needs no loop of its own to\n    run. ``loop_id`` is the opaque key returned by list/create, of the form\n    \"agent_slug.loop_slug\" \u2014 just pass it back. Create the owning agent first\n    (`manage_agents`); start a loop with `control_agent(action=\"start\")`.\n\n    Not a Hummingbot strategy or controller config: those are deployed with the\n    Hummingbot tools. A loop is the agent's own playbook.\n\n    Actions:\n    - \"list\": All loops across all agents.\n    - \"get\": Full details including the instructions body (requires loop_id).\n    - \"create\": New loop under an agent (requires agent_slug, name, instructions).\n    - \"update\": Change an existing loop (requires loop_id + fields to change).\n    - \"delete\": Delete a loop (requires loop_id).\n\n    Args:\n        action: What to do with the loop.\n        loop_id: Loop key \"agent_slug.loop_slug\" (get/update/delete).\n        agent_slug: The owning agent \u2014 required to create.\n        name: Loop name (create/update).\n        description: Loop description (create/update).\n        instructions: The playbook text the loop follows (create/update).\n        agent_key: Default LLM for this loop, overriding the owning\n            agent's. Same form as manage_agents.agent_key.\n        skills: Optional skill names to enable for the loop (create/update).\n        config: Default config for the loop (create/update) \u2014 the same keys\n            control_agent(action=\"start\") accepts as overrides.\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "get",
+              "create",
+              "update",
+              "delete",
+              "list_strategies",
+              "get_strategy",
+              "create_strategy",
+              "update_strategy",
+              "delete_strategy"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent Key"
+          },
+          "agent_slug": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent Slug"
+          },
+          "config": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config"
+          },
+          "description": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Description"
+          },
+          "instructions": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Instructions"
+          },
+          "loop_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Loop Id"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "skills": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Skills"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_loopsArguments",
+        "type": "object"
+      },
+      "name": "manage_loops",
+      "outputSchema": null
+    },
+    "manage_memory": {
+      "description": "Manage your persistent memory ABOUT THE USER (yours alone, across sessions).\n\n    This is what YOU remember about the user: their preferences, stable facts,\n    feedback they gave you, and reference pointers. It persists across sessions\n    and is keyed by (assistant, user) \u2014 so each agent has its OWN store: what the\n    chat writes is invisible to the trading agents and vice versa. Write what\n    matters for your own work; do not assume another agent will see it. (Skills,\n    by contrast, CAN be published across agents \u2014 see manage_skill's `shared`.)\n    The index of your memories is auto-injected into your context as\n    [USER MEMORY]; use \"read\" to pull the full body of a specific memory.\n\n    WHEN TO WRITE:\n    - Save something only when it is NEW and STABLE about the user \u2014 a standing\n      preference (\"always report in USD\"), a fact (\"default exchange is Binance\"),\n      a correction the user made, or a reference pointer. Do NOT save ephemeral\n      conversation details. One memory = one fact. Keep `description` to one line.\n\n    Actions:\n    - \"write\": Create/overwrite a memory (requires name, content, description; optional type).\n    - \"read\": Get the full body of a memory (requires name).\n    - \"search\": Keyword search over your memories (requires query).\n    - \"list\": Return the memory index (one line per memory).\n    - \"delete\": Remove a memory (requires name).\n    - \"audit\": Recent write/delete events (who changed what).\n\n    Args:\n        action: What to do with the memory store.\n        name: Short kebab/snake name for the memory (e.g. \"report-in-usd\").\n        content: The full fact/body (required for write).\n        description: One-line summary shown in the index (required for write).\n        type: What kind of memory this is (default \"fact\").\n        query: Search string (for search).\n        max_entries: Cap for search/audit results (default 30).\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "write",
+              "read",
+              "search",
+              "list",
+              "delete",
+              "audit"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "content": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Content"
+          },
+          "description": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Description"
+          },
+          "max_entries": {
+            "default": 30,
+            "title": "Max Entries",
+            "type": "integer"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "query": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Query"
+          },
+          "type": {
+            "default": "fact",
+            "enum": [
+              "preference",
+              "fact",
+              "feedback",
+              "reference"
+            ],
+            "title": "Type",
+            "type": "string"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_memoryArguments",
+        "type": "object"
+      },
+      "name": "manage_memory",
+      "outputSchema": null
+    },
+    "manage_routines": {
+      "description": "Manage and run Condor routines (auto-discoverable Python scripts).\n\n    Actions -- Discovery & Execution:\n    - \"list\": List all available routines with name, description, type, and scope\n    - \"describe\": Show config schema for a routine (requires name)\n    - \"run\": Execute a one-shot routine and WAIT for its result (requires name, optional config).\n      Blocks for up to 120s, so use it only for routines that finish fast.\n    - \"run_async\": Submit a one-shot routine and return its instance_id immediately,\n      without waiting (requires name, optional config). Use this for slow work \u2014 a\n      backtest, a wide scan. The finished run is handed back to you automatically as\n      a new turn, so say it is running and END YOUR TURN. NEVER poll it in a loop.\n    - \"get_instance\": Read a run back by id (requires name=instance_id). For a user\n      asking about a run later \u2014 not for waiting on one you just started.\n    - \"start\": Start a continuous routine as a background task (requires name, optional config)\n    - \"stop\": Stop a running routine instance (requires name=instance_id)\n    - \"list_instances\": List all running/scheduled routine instances\n\n    Actions -- Agent-Local Routine CRUD (requires agent or CONDOR_AGENT_SLUG):\n    - \"create_routine\": Create a new agent-local routine (requires name, code)\n    - \"read_routine\": Read source code of a routine (requires name)\n    - \"edit_routine\": Update an agent-local routine (requires name, code)\n    - \"delete_routine\": Delete an agent-local routine (requires name)\n\n    Agent-local routines live in .condor/agents/{slug}/routines/ and are visible\n    only to that AGENT \u2014 they are shared across all of its loops, there is\n    no per-loop routine library. They follow the same pattern as global\n    routines: a Config(BaseModel) class and an async run(config, context) function.\n    Writes always land under .condor/agents/ \u2014 never under the tracked agents/\n    library the repo ships, which you read but do not edit.\n\n    Beside those per-agent libraries there is ONE shared library\n    (.condor/agents/_shared/routines, layered over the shipped\n    agents/_shared/routines) that every assistant also reads, mirroring\n    manage_skill's `shared`. A routine there is listed with scope=\"shared\" and\n    runs under its bare name from any seat. Publication is the library it lives\n    in, not a flag in the file: `shared=True` on \"create_routine\" writes there.\n    Only Condor may publish \u2014 for an agent the flag is ignored and the routine\n    lands in its own dir. Shared routines are read-only to agents: to specialize\n    one, \"create_routine\" a local routine with the SAME name and it shadows the\n    published one. Publish deliberately \u2014 a shared routine lands in every\n    agent's context, and it must work with no chat (no chat_id).\n\n    Args:\n        action: The action to perform.\n        name: Routine name (required for all except list/list_instances). For \"stop\"\n            and \"get_instance\", pass the instance_id as name.\n        config: Config overrides for run/start (optional, merged with defaults).\n        agent: Slug of the agent whose routine library to target (agent-local\n            CRUD, and \"list\"/\"run\"/\"start\" against another agent's routines).\n            A run started with it is attributed to that agent. Omit to use\n            the current assistant's own library.\n        code: Python source code for create_routine / edit_routine.\n        shared: Target the shared library every assistant reads (routine CRUD).\n            Condor only, and only without `agent` \u2014 for an agent it is ignored\n            and the write stays in its own dir.\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "describe",
+              "run",
+              "run_async",
+              "get_instance",
+              "start",
+              "stop",
+              "list_instances",
+              "create_routine",
+              "read_routine",
+              "edit_routine",
+              "delete_routine"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent"
+          },
+          "code": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Code"
+          },
+          "config": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "shared": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Shared"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_routinesArguments",
+        "type": "object"
+      },
+      "name": "manage_routines",
+      "outputSchema": null
+    },
+    "manage_servers": {
+      "description": "Manage Hummingbot API servers \u2014 and answer where you are pointed, as whom.\n\n    Actions:\n    - \"list\": List all accessible servers with permissions and active status. Also\n      returns the caller's context: active_server, user_role, is_admin, plus the\n      active_agent_key (the LLM new agents inherit \u2014 never invent one) and the\n      custom_llm_endpoints the user has saved.\n    - \"status\": Check if a server is online (optional name, defaults to active server)\n\n    Args:\n        action: The action to perform.\n        name: Server name (optional for status)\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "status"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_serversArguments",
+        "type": "object"
+      },
+      "name": "manage_servers",
+      "outputSchema": null
+    },
+    "manage_skill": {
+      "description": "Manage your SKILLS \u2014 playbooks (know-how) you can follow and refine.\n\n    A skill is a markdown *playbook*: a reusable procedure with WHEN to apply it\n    and the STEPS to take (e.g. \"how to open a grid in a band-walk\", \"checklist\n    before raising leverage\"). Skills are GENERAL to the assistant \u2014 a shared\n    library, the same for everyone using it \u2014 distinct from manage_memory, which\n    is what YOU learn about a specific USER (per-user). The skills index is\n    auto-injected as [SKILLS]; use \"read\" to pull a full playbook before following\n    it, and \"create\"/\"edit\" to capture or improve a reusable procedure.\n\n    A skill can REFERENCE a routine: \"read\" reports `routine_ok` \u2014 if false, the\n    referenced routine no longer exists; do NOT invoke it. A playbook is advisory\n    text; executing what it describes (a routine, an executor) still goes through\n    the normal risk/confirmation controls. The skill is NOT a bypass.\n\n    A skill can also BUNDLE companion files (e.g. config templates) beside its\n    playbook. \"read\" lists them under `files`; pull one on demand with\n    \"read_file\" (name + file). This is progressive disclosure \u2014 the index shows\n    only the playbook, the companions stay out of context until you ask for one.\n    Author or update a companion with \"write_file\" (name + file + content):\n    prefer it over a raw filesystem write so the path resolves through the skill\n    slug and stays inside the skill folder. (\"write_file\" only touches companion\n    files \u2014 edit the playbook body itself with \"edit\".)\n\n    Skills are scoped PER-AGENT (one library per agent, shared by everyone using\n    it; there is no per-loop library). A launched agent WRITES only to its\n    own. From the chat, pass `agent=\"<slug>\"` to author or inspect a specific\n    agent's library \u2014 DO THIS whenever the playbook belongs to a domain agent\n    rather than to the chat, otherwise the skill silently lands in Condor's own\n    library and only the chat sees it. Without `agent`, the current assistant's\n    library is used.\n\n    Beside those per-agent libraries there is ONE shared library that every\n    assistant also reads, so a playbook like `routine_cookbook` reaches everyone.\n    Publication is the library a skill lives in, not a flag: `shared=True` MOVES\n    it there (companion files included) and `shared=False` moves it back. Only\n    Condor may publish \u2014 for an agent the flag is ignored. Shared skills are\n    read-only to agents (read reports `inherited`): to specialize one, \"create\" a\n    local skill with the SAME name and it shadows the published one. Publish\n    deliberately \u2014 a shared skill lands in every agent's context.\n\n    Actions:\n    - \"read\": Get a full playbook + routine validation + companion `files` (requires name).\n    - \"read_file\": Get the contents of one bundled companion file (requires name + file).\n    - \"write_file\": Create/overwrite one bundled companion file (requires name + file + content).\n    - \"search\": Keyword search over the skills (requires query).\n    - \"list\": Return the skills index (one line per skill).\n    - \"create\": Add/overwrite a skill (requires name, description, when_to_use, body).\n    - \"edit\": Patch fields of a skill (requires name + any of description/when_to_use/body/references_routine).\n    - \"delete\": Remove a skill (requires name).\n\n    Args:\n        action: What to do with the skills library.\n        name: Short kebab/snake name (e.g. \"grid-en-band-walk\").\n        description: One-line summary (create/edit).\n        when_to_use: The trigger/condition for the playbook (create/edit).\n        body: The steps / playbook text (create/edit).\n        references_routine: Optional routine name to link; \"\" clears it (create/edit).\n        query: Search string (for search).\n        max_entries: Cap for search results (default 30).\n        agent: Slug of the agent whose skill library to target (chat-side\n            authoring). Omit to use the current assistant's own library.\n        file: Bare name of a bundled companion file (for read_file/write_file).\n        content: Full contents to write to the companion file (for write_file).\n        shared: Publish this playbook to every assistant by moving it into the\n            shared library (create/edit); False moves it back. Condor only \u2014\n            ignored for an agent. Omit to leave publication unchanged.\n\n    Returns:\n        Action-specific result dict.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "read",
+              "search",
+              "create",
+              "edit",
+              "delete",
+              "read_file",
+              "write_file"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent"
+          },
+          "body": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Body"
+          },
+          "content": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Content"
+          },
+          "description": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Description"
+          },
+          "file": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "File"
+          },
+          "max_entries": {
+            "default": 30,
+            "title": "Max Entries",
+            "type": "integer"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "query": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Query"
+          },
+          "references_routine": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "References Routine"
+          },
+          "shared": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Shared"
+          },
+          "when_to_use": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "When To Use"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_skillArguments",
+        "type": "object"
+      },
+      "name": "manage_skill",
+      "outputSchema": null
+    },
+    "run_code": {
+      "description": "Run a Python snippet inside Condor and get its output back.\n\n    The scratchpad below a routine: for a ONE-OFF computation over data \u2014 fetch\n    candles, build a DataFrame, compute returns, filter the series \u2014 write the\n    Python instead of chaining raw tools and doing the arithmetic by hand. There\n    is no file to author and no config schema to declare.\n\n    The snippet is a plain script body running in the bot process with the same\n    primitives a routine has:\n    - top-level `await` works, with no wrapper function\n    - `print(...)` is the output (use `print`, not `logging` \u2014 logging is not\n      captured); an optional `result` variable is the return value\n    - `context` is the routine context (active server, bot, chat), `client` is\n      the Hummingbot API client for that server (None if none resolves)\n    - every `condor.*` module is importable, including\n      `from condor.reports import ReportBuilder` \u2014 a snippet that saves one\n      produces a real dashboard report and its id comes back as `report_id`\n\n    Don't guess an import. `from condor.primitives import catalog, describe,\n    call_routine`: `catalog()` lists every primitive and routine this install\n    has, `describe(ref)` gives one full signature, docstring or config schema,\n    and `await call_routine(name, config)` runs an existing routine inline\n    instead of rewriting it (`start_routine` backgrounds it).\n\n    On failure you get `status=\"error\"` and a traceback whose line numbers are\n    YOUR snippet's: read it, fix the code, run it again. Keep snippets short and\n    `await` inside loops \u2014 a snippet that never yields blocks the bot until the\n    timeout cuts it.\n\n    Run essentially the same snippet a third time, or want it scheduled, shared\n    or visible to the user? Promote it to a routine with\n    `manage_routines(action=\"create_routine\")`. That is the durable artifact;\n    this is the scratchpad.\n\n    Actions:\n    - \"run\" (default): execute `code` and wait for it (requires code)\n    - \"history\": list recent runs, newest first, with label and status\n    - \"get\": read one past run back in full \u2014 code, stdout, result, traceback\n      (requires run_id)\n\n    Args:\n        action: What to do \u2014 execute a snippet or read past ones.\n        code: The Python snippet to execute (for \"run\").\n        label: Short purpose of the run (\"returns of SOL 1h\"), shown in history\n            and used as the report source name.\n        timeout: Seconds to allow the snippet (for \"run\"). Default 60, max 120.\n        run_id: Id of a past run (for \"get\").\n        agent: Whose runs to list (for \"history\"). Defaults to your own; pass\n            \"all\" for every assistant's.\n        limit: How many runs to list (for \"history\"). Default 20.\n\n    Returns:\n        For \"run\": {run_id, status: ok|error|timeout, stdout, result, error,\n        traceback, report_id, duration_ms}. Long stdout/result are clipped with\n        \"truncated\": true \u2014 read the whole run with action=\"get\".\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "default": "run",
+            "enum": [
+              "run",
+              "history",
+              "get"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "agent": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Agent"
+          },
+          "code": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Code"
+          },
+          "label": {
+            "default": "",
+            "title": "Label",
+            "type": "string"
+          },
+          "limit": {
+            "default": 20,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "run_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Run Id"
+          },
+          "timeout": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Timeout"
+          }
+        },
+        "title": "run_codeArguments",
+        "type": "object"
+      },
+      "name": "run_code",
+      "outputSchema": null
+    },
+    "send_notification": {
+      "description": "Send a Telegram message to the user.\n\n    Args:\n        text: Message text to send.\n        parse_mode: Telegram parse mode. Default: \"Markdown\".\n\n    Returns:\n        {\"sent\": true} on success, {\"error\": \"...\"} on failure.\n    ",
+      "inputSchema": {
+        "properties": {
+          "parse_mode": {
+            "default": "Markdown",
+            "enum": [
+              "Markdown",
+              "HTML"
+            ],
+            "title": "Parse Mode",
+            "type": "string"
+          },
+          "text": {
+            "title": "Text",
+            "type": "string"
+          }
+        },
+        "required": [
+          "text"
+        ],
+        "title": "send_notificationArguments",
+        "type": "object"
+      },
+      "name": "send_notification",
+      "outputSchema": null
+    },
+    "trading_agent_journal_read": {
+      "description": "Read the trading agent's journal.\n\n    Args:\n        agent_id: The trading agent instance ID.\n        section: What to read:\n                 \"recent\" (last 10 decisions from run snapshots),\n                 \"learnings\" (all learnings, max 20),\n                 \"summary\" (current status one-liner),\n                 \"state\" (alias for summary),\n                 \"full\" (entire journal),\n                 \"runs\" (list recent run snapshots),\n                 \"run:N\" (read specific run snapshot, e.g. \"run:3\"),\n                 \"tracker\" (full tracker markdown + summary dict: tick history,\n                 executor ledger, snapshots).\n        max_entries: Max entries for recent/runs (default 30).\n\n    Returns:\n        {\"content\": \"<journal text>\"}, {\"runs\": [...]} for runs listing, or\n        {\"tracker_md\": ..., \"summary\": {...}} for section=\"tracker\".\n    ",
+      "inputSchema": {
+        "properties": {
+          "agent_id": {
+            "title": "Agent Id",
+            "type": "string"
+          },
+          "max_entries": {
+            "default": 30,
+            "title": "Max Entries",
+            "type": "integer"
+          },
+          "section": {
+            "default": "recent",
+            "title": "Section",
+            "type": "string"
+          }
+        },
+        "required": [
+          "agent_id"
+        ],
+        "title": "trading_agent_journal_readArguments",
+        "type": "object"
+      },
+      "name": "trading_agent_journal_read",
+      "outputSchema": null
+    },
+    "trading_agent_journal_write": {
+      "description": "Write to the trading agent's journal. Keep entries SHORT (one line).\n\n    Args:\n        agent_id: The trading agent instance ID.\n        entry_type: \"action\", \"learning\", \"state\", or \"canvas\".\n            - \"action\": What you did this tick (auto-trimmed to last 10).\n            - \"learning\": A new insight. Duplicates are auto-filtered. Only write\n              if this is genuinely new and not already in learnings (max 20).\n            - \"state\": Overwrite the current state snapshot (e.g. price, position, grids).\n            - \"canvas\": Revise ONE section of your session canvas \u2014 the running\n              narrative shown to the user in the session report. Requires\n              `section`. Only revise a section when it is now wrong; a quiet\n              tick needs no canvas call.\n        text: The entry content. Keep it to ONE short line (a canvas section may\n            be a short paragraph, truncated past ~1200 chars).\n        reasoning: One-sentence reasoning (for actions only).\n        risk_note: Optional risk note (for actions only).\n        tick: Current tick number (for actions and canvas revisions). REQUIRED for\n            those two \u2014 an entry with no tick is refused, not silently filed under\n            tick 0.\n        category: Learning category: \"market\" (observations, patterns, volatility)\n            or \"execution\" (errors, fills, timing). Only used when entry_type=\"learning\".\n            Defaults to \"market\".\n        section: Which canvas section to replace \u2014 \"thesis\", \"working\",\n            \"changed\", or \"questions\". Only used when entry_type=\"canvas\".\n\n    Returns:\n        {\"written\": true} \u2014 or {\"skipped\": \"...\"} in dry-run / run-once mode,\n        which keep no journal.\n    ",
+      "inputSchema": {
+        "properties": {
+          "agent_id": {
+            "title": "Agent Id",
+            "type": "string"
+          },
+          "category": {
+            "default": "",
+            "title": "Category",
+            "type": "string"
+          },
+          "entry_type": {
+            "title": "Entry Type",
+            "type": "string"
+          },
+          "reasoning": {
+            "default": "",
+            "title": "Reasoning",
+            "type": "string"
+          },
+          "risk_note": {
+            "default": "",
+            "title": "Risk Note",
+            "type": "string"
+          },
+          "section": {
+            "default": "",
+            "title": "Section",
+            "type": "string"
+          },
+          "text": {
+            "title": "Text",
+            "type": "string"
+          },
+          "tick": {
+            "default": 0,
+            "title": "Tick",
+            "type": "integer"
+          }
+        },
+        "required": [
+          "agent_id",
+          "entry_type",
+          "text"
+        ],
+        "title": "trading_agent_journal_writeArguments",
+        "type": "object"
+      },
+      "name": "trading_agent_journal_write",
+      "outputSchema": null
+    }
+  },
+  "hummingbot_api": {
+    "clear_position_held": {
+      "description": "Clear a held position that was already closed elsewhere. Bookkeeping only.\n\n    Use this tool when a position was closed outside the bot (on the exchange UI, say)\n    and the API still shows it held. It moves no funds and closes nothing \u2014 it only\n    corrects the record.\n\n    Do NOT use it to close a live position: stop its executor with `stop_executor`.\n\n    Args:\n        connector_name: Connector the stale position is recorded under.\n        trading_pair: Trading pair of the stale position.\n        account_name: Account. Default 'master_account'.\n        controller_id: Controller that owned it, if any.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pair"
+        ],
+        "title": "clear_position_heldArguments",
+        "type": "object"
+      },
+      "name": "clear_position_held",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "clear_position_heldOutput",
+        "type": "object"
+      }
+    },
+    "configure_server": {
+      "description": "Configure the active Hummingbot API server connection.\n\n    This tool manages a single API server connection:\n    1. No parameters \u2192 Show the current server configuration\n    2. Any parameters \u2192 Update the server config and reconnect\n\n    Only the provided parameters are changed; omitted ones keep their current values.\n\n    Args:\n        name: Server label (e.g., 'macmini', 'production')\n        host: API host (e.g., 'localhost', 'host.docker.internal', '72.212.424.42')\n        port: API port (e.g., 8000)\n        username: API username\n        password: API password\n    ",
+      "inputSchema": {
+        "properties": {
+          "host": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Host"
+          },
+          "name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Name"
+          },
+          "password": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Password"
+          },
+          "port": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Port"
+          },
+          "username": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Username"
+          }
+        },
+        "title": "configure_serverArguments",
+        "type": "object"
+      },
+      "name": "configure_server",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "configure_serverOutput",
+        "type": "object"
+      }
+    },
+    "create_dca_executor": {
+      "description": "Average into a position over a ladder of price levels. Spends real funds.\n\n    Use this tool when you want to accumulate gradually and reduce timing risk: one\n    order per level, at decreasing prices for a BUY and increasing for a SELL, with a\n    shared exit across the whole ladder.\n\n    Do NOT use when: you want the full position now (`create_position_executor` or\n    `create_order_executor`), or you want two-sided range trading\n    (`create_grid_executor`).\n\n    AMOUNTS ARE IN QUOTE CURRENCY AND THE TWO LISTS ARE PARALLEL. `amounts_quote` and\n    `prices` are one list of levels split in two \u2014 index i is one order of\n    `amounts_quote[i]` quote currency at `prices[i]`. A length mismatch is rejected\n    here. Note this is the opposite convention from `create_position_executor`, whose\n    `amount` is in base currency.\n\n    AN EXECUTOR ID IS NOT A POSITION. The API accepts the config first and the executor\n    checks its budget when it starts; an unfunded one terminates at once with\n    INSUFFICIENT_BALANCE. This tool watches the new executor for a few seconds and\n    reports what it did: an error means nothing was opened, and \"nothing filled yet\"\n    means the entry is not confirmed. Tell the user a position is open only when the\n    result (or `get_executor`) shows it running with volume filled.\n\n    Args:\n        connector_name: Exchange connector, e.g. 'binance_perpetual'.\n        trading_pair: Trading pair, e.g. 'BTC-USDT'.\n        side: 1 = BUY, 2 = SELL.\n        amounts_quote: Order sizes in QUOTE currency, one per level, e.g. [100, 100, 150].\n        prices: Price for each level, same length as amounts_quote, e.g. [50000, 48000, 46000].\n        leverage: Leverage multiplier. Backend default 1.\n        take_profit: Take-profit as a decimal fraction, e.g. 0.03 = 3%.\n        stop_loss: Stop-loss as a decimal fraction, e.g. 0.05 = 5%.\n        time_limit: Maximum duration in SECONDS.\n        trailing_stop_activation_price: Price delta at which the trailing stop arms.\n            Only takes effect together with trailing_stop_trailing_delta.\n        trailing_stop_trailing_delta: Distance the trailing stop follows behind price.\n        mode: 'MAKER' places limit orders, 'TAKER' market orders. Backend default MAKER.\n        level_id: Optional identifier tag.\n        account_name: Account to trade from. Default 'master_account'.\n        controller_id: Controller tag that owns the executor. Default 'main'. An\n            autonomous agent MUST pass its own agent id here.\n        save_as_default: Save these arguments as the defaults for DCA executors.\n\n    Example:\n    - Ladder $350 into BTC across three levels with a 3% target and 5% stop:\n      create_dca_executor(\"binance_perpetual\", \"BTC-USDT\", 1, [100, 100, 150],\n      [50000, 48000, 46000], take_profit=0.03, stop_loss=0.05)\n\n    For spacing the levels and distributing size across them, read the\n    'dca_into_position' skill if the Condor skills library is available.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "amounts_quote": {
+            "items": {
+              "type": "number"
+            },
+            "title": "Amounts Quote",
+            "type": "array"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "level_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Level Id"
+          },
+          "leverage": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Leverage"
+          },
+          "mode": {
+            "anyOf": [
+              {
+                "enum": [
+                  "MAKER",
+                  "TAKER"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Mode"
+          },
+          "prices": {
+            "items": {
+              "type": "number"
+            },
+            "title": "Prices",
+            "type": "array"
+          },
+          "save_as_default": {
+            "default": false,
+            "title": "Save As Default",
+            "type": "boolean"
+          },
+          "side": {
+            "enum": [
+              1,
+              2
+            ],
+            "title": "Side",
+            "type": "integer"
+          },
+          "stop_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Stop Loss"
+          },
+          "take_profit": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Take Profit"
+          },
+          "time_limit": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Time Limit"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          },
+          "trailing_stop_activation_price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trailing Stop Activation Price"
+          },
+          "trailing_stop_trailing_delta": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trailing Stop Trailing Delta"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pair",
+          "side",
+          "amounts_quote",
+          "prices"
+        ],
+        "title": "create_dca_executorArguments",
+        "type": "object"
+      },
+      "name": "create_dca_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "create_dca_executorOutput",
+        "type": "object"
+      }
+    },
+    "create_grid_executor": {
+      "description": "Run a grid of limit orders across a price range. Spends real funds.\n\n    Use this tool when the market is ranging and you want to earn the oscillation\n    rather than a direction: buys fill low, each filled buy places its own sell a\n    take-profit away.\n\n    Do NOT use when: the market is strongly trending (one-sided fills), or capital is\n    too small to spread across levels. For a single directional entry use\n    `create_position_executor`.\n\n    DIRECTION RULES \u2014 `side` is explicit and `limit_price` alone does NOT set it:\n    - LONG  (side=1): limit_price < start_price < end_price\n    - SHORT (side=2): start_price < end_price < limit_price\n    A grid that violates its side's ordering is rejected here rather than silently\n    never filling.\n\n    RISK IS `limit_price` + `keep_position`, NOT A STOP-LOSS. There is no stop_loss\n    parameter and never suggest one. When price crosses `limit_price` the grid stops:\n    `keep_position=False` closes the accumulated position (a stop-loss exit),\n    `keep_position=True` holds it for a recovery.\n\n    LEVEL COUNT is the intersection of two limits \u2014 `total_amount_quote /\n    min_order_amount_quote`, and the price range divided by\n    `min_spread_between_orders`. The tighter one wins.\n\n    AN EXECUTOR ID IS NOT A POSITION. The API accepts the config first and the executor\n    checks its budget when it starts; an unfunded one terminates at once with\n    INSUFFICIENT_BALANCE. This tool watches the new executor for a few seconds and\n    reports what it did: an error means nothing was opened, and \"nothing filled yet\"\n    means the entry is not confirmed. Tell the user a position is open only when the\n    result (or `get_executor`) shows it running with volume filled.\n\n    Args:\n        connector_name: Exchange connector, e.g. 'binance_perpetual'.\n        trading_pair: Trading pair, e.g. 'SOL-USDT'.\n        side: 1 = LONG grid (accumulate base), 2 = SHORT grid (sell into strength).\n        start_price: Lower grid boundary.\n        end_price: Upper grid boundary.\n        limit_price: Safety boundary that stops the grid. See DIRECTION RULES.\n        total_amount_quote: Capital allocated, in QUOTE currency.\n        take_profit: Distance for the opposite order on each fill, as a decimal\n            fraction, e.g. 0.0002 = 0.02%.\n        time_limit: Maximum grid lifetime in SECONDS, after which the grid closes on\n            its own \u2014 the dead-man switch an unattended run needs. OMIT for a grid\n            that runs until `limit_price` or an explicit stop. e.g. 43200 = 12h.\n        open_order_type: 1=MARKET, 2=LIMIT, 3=LIMIT_MAKER. 3 is recommended \u2014 post-only\n            orders earn maker fees.\n        take_profit_order_type: Same enum; 3 recommended.\n        min_spread_between_orders: Minimum price distance between levels as a decimal\n            fraction. Backend default 0.0005.\n        min_order_amount_quote: Minimum size per order in quote currency. Backend\n            default 5.\n        max_open_orders: Hard cap on concurrent open orders. Backend default 5.\n        max_orders_per_batch: Orders submitted per batch. Backend default: unlimited.\n        order_frequency: Seconds between order batches. Backend default 0.\n        activation_bounds: Only place orders within this fraction of current price,\n            e.g. 0.001 = 0.1%. OMIT to place every order at once.\n        safe_extra_spread: Backend default 0.0001.\n        leverage: Leverage multiplier. Backend default 20 \u2014 pass 1 for spot-like sizing.\n        keep_position: Hold the accumulated position when the grid stops. Backend\n            default False (close it). See RISK above.\n        coerce_tp_to_step: Raise take-profit to at least one grid step, so a level\n            cannot close before the next one fills. Backend default False.\n        deduct_base_fees: Backend default False.\n        level_id: Optional identifier tag.\n        account_name: Account to trade from. Default 'master_account'.\n        controller_id: Controller tag that owns the executor. Default 'main'. An\n            autonomous agent MUST pass its own agent id here.\n        save_as_default: Save these arguments as the defaults for grid executors.\n\n    Example:\n    - A $500 long grid on SOL-USDT between 140 and 150, stopping under 138:\n      create_grid_executor(\"binance\", \"SOL-USDT\", 1, 140, 150, 138, 500,\n      take_profit=0.002, open_order_type=3, take_profit_order_type=3, leverage=1)\n\n    For confirming the market is ranging and choosing the prices and level count, read\n    the 'run_a_grid' skill if the Condor skills library is available.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "activation_bounds": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Activation Bounds"
+          },
+          "coerce_tp_to_step": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Coerce Tp To Step"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "deduct_base_fees": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Deduct Base Fees"
+          },
+          "end_price": {
+            "title": "End Price",
+            "type": "number"
+          },
+          "keep_position": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Keep Position"
+          },
+          "level_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Level Id"
+          },
+          "leverage": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Leverage"
+          },
+          "limit_price": {
+            "title": "Limit Price",
+            "type": "number"
+          },
+          "max_open_orders": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Max Open Orders"
+          },
+          "max_orders_per_batch": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Max Orders Per Batch"
+          },
+          "min_order_amount_quote": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Min Order Amount Quote"
+          },
+          "min_spread_between_orders": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Min Spread Between Orders"
+          },
+          "open_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Open Order Type"
+          },
+          "order_frequency": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Order Frequency"
+          },
+          "safe_extra_spread": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Safe Extra Spread"
+          },
+          "save_as_default": {
+            "default": false,
+            "title": "Save As Default",
+            "type": "boolean"
+          },
+          "side": {
+            "enum": [
+              1,
+              2
+            ],
+            "title": "Side",
+            "type": "integer"
+          },
+          "start_price": {
+            "title": "Start Price",
+            "type": "number"
+          },
+          "take_profit": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Take Profit"
+          },
+          "take_profit_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Take Profit Order Type"
+          },
+          "time_limit": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Time Limit"
+          },
+          "total_amount_quote": {
+            "title": "Total Amount Quote",
+            "type": "number"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pair",
+          "side",
+          "start_price",
+          "end_price",
+          "limit_price",
+          "total_amount_quote"
+        ],
+        "title": "create_grid_executorArguments",
+        "type": "object"
+      },
+      "name": "create_grid_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "create_grid_executorOutput",
+        "type": "object"
+      }
+    },
+    "create_lp_executor": {
+      "description": "Open a managed CLMM liquidity position inside a price range. Spends real funds.\n\n    This is the standard way to provide liquidity: the executor opens the position,\n    tracks whether price is in range, accrues fees, and auto-closes when price crosses\n    a limit price. Close it with `stop_executor`, never by hand.\n\n    Use `explore_dex_pools` first to find the pool and read its current price, unless\n    the user supplied a pool address.\n\n    Do NOT use when: you want a one-off unmanaged position (`manage_clmm`), or\n    directional exposure without impermanent-loss risk (the CEX executors above).\n\n    `connector_name` IS THE NETWORK, NOT THE DEX. Pass 'solana-mainnet-beta',\n    'ethereum-mainnet', 'arbitrum-one', 'base-mainnet', 'binance-smart-chain'. Passing\n    'meteora/clmm' here is the most common failure and the API rejects it with \"Invalid\n    network format\". The DEX goes in `lp_provider`, as 'dex/trading_type'.\n\n    SIDE PICKS WHICH TOKENS YOU SUPPLY, and the range has to agree with it:\n    - side=1 (BUY, quote only): range BELOW current price. Quote converts to base as\n      price falls into it.\n    - side=2 (SELL, base only): range ABOVE current price. Base converts to quote as\n      price rises into it.\n    - side=3 (RANGE, both): range around current price.\n\n    AUTO-CLOSE. `upper_limit_price` / `lower_limit_price` close the position when price\n    crosses them, and they fire only while the position is OUT_OF_RANGE. Set BOTH when\n    you want a closed strategy \u2014 otherwise the position sits out of range indefinitely\n    on the unprotected side.\n\n    A stopped executor always closes the on-chain position; `keep_position` only decides\n    whether the net token change is KEPT as a spot position or swapped back to the\n    original quote asset.\n\n    AN EXECUTOR ID IS NOT A POSITION. The API accepts the config first and the executor\n    checks its budget when it starts; an unfunded one terminates at once with\n    INSUFFICIENT_BALANCE. This tool watches the new executor for a few seconds and\n    reports what it did: an error means nothing was opened, and \"nothing filled yet\"\n    means the entry is not confirmed. Tell the user a position is open only when the\n    result (or `get_executor`) shows it running with volume filled.\n\n    Args:\n        connector_name: The NETWORK, e.g. 'solana-mainnet-beta'. See above.\n        lp_provider: DEX and trading type as 'dex/trading_type' \u2014 'meteora/clmm',\n            'raydium/clmm', 'orca/clmm' on Solana; 'uniswap/clmm', 'pancakeswap/clmm'\n            on EVM.\n        trading_pair: Token pair, e.g. 'SOL-USDC'.\n        pool_address: Pool contract address, from `explore_dex_pools`.\n        lower_price: Lower bound of the range. Must be below upper_price.\n        upper_price: Upper bound of the range.\n        side: 1 = BUY (quote only), 2 = SELL (base only), 3 = RANGE (both).\n        base_amount: Base token to provide. Give this, quote_amount, or both.\n        quote_amount: Quote token to provide.\n        upper_limit_price: Auto-close when price rises to or above this.\n        lower_limit_price: Auto-close when price falls to or below this.\n        swap_provider: Provider for the close-out swap when keep_position=False, e.g.\n            'jupiter/router'. OMIT to use the network's default.\n        keep_position: Keep the net token change as a held spot position on close.\n            Backend default False (swap back to the original quote asset).\n        extra_params: Connector-specific parameters. Meteora takes\n            {\"strategyType\": 0} \u2014 0=Spot (uniform), 1=Curve (concentrated at price),\n            2=Bid-Ask (at the range edges).\n        account_name: Account to trade from. Default 'master_account'.\n        controller_id: Controller tag that owns the executor. Default 'main'. An\n            autonomous agent MUST pass its own agent id here.\n        save_as_default: Save these arguments as the defaults for LP executors.\n\n    Example:\n    - Single-sided 1 SOL into a BONK-SOL pool with a range below spot:\n      create_lp_executor(\"solana-mainnet-beta\", \"meteora/clmm\", \"BONK-SOL\", \"<pool>\",\n      lower_price=p*0.8, upper_price=p, side=1, quote_amount=1.0,\n      lower_limit_price=p*0.72, upper_limit_price=p*1.1)\n\n    For choosing the pool, sizing the range and picking the side, read the\n    'open_lp_position' skill if the Condor skills library is available.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "base_amount": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Base Amount"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "extra_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Extra Params"
+          },
+          "keep_position": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Keep Position"
+          },
+          "lower_limit_price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Lower Limit Price"
+          },
+          "lower_price": {
+            "title": "Lower Price",
+            "type": "number"
+          },
+          "lp_provider": {
+            "title": "Lp Provider",
+            "type": "string"
+          },
+          "pool_address": {
+            "title": "Pool Address",
+            "type": "string"
+          },
+          "quote_amount": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Quote Amount"
+          },
+          "save_as_default": {
+            "default": false,
+            "title": "Save As Default",
+            "type": "boolean"
+          },
+          "side": {
+            "enum": [
+              1,
+              2,
+              3
+            ],
+            "title": "Side",
+            "type": "integer"
+          },
+          "swap_provider": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Swap Provider"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          },
+          "upper_limit_price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Upper Limit Price"
+          },
+          "upper_price": {
+            "title": "Upper Price",
+            "type": "number"
+          }
+        },
+        "required": [
+          "connector_name",
+          "lp_provider",
+          "trading_pair",
+          "pool_address",
+          "lower_price",
+          "upper_price",
+          "side"
+        ],
+        "title": "create_lp_executorArguments",
+        "type": "object"
+      },
+      "name": "create_lp_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "create_lp_executorOutput",
+        "type": "object"
+      }
+    },
+    "create_order_executor": {
+      "description": "Place one buy or sell order with a chosen execution strategy. Spends real funds.\n\n    This is the standard way to place a plain order, and to CANCEL one: stop its\n    executor with `stop_executor`.\n\n    THIS IS ALSO HOW YOU SWAP ON A DEX. Set `connector_name` to a NETWORK\n    ('solana-mainnet-beta', 'ethereum-mainnet') with execution_strategy='MARKET' and\n    the order routes through Gateway's unified swap route \u2014 the same one `execute_swap`\n    uses, but with the slippage ramp and an executor record attached. The router is not\n    selectable per order; it comes from the network's configured swapProvider. Prefer\n    this over a one-shot `execute_swap` for any swap that is part of a strategy.\n\n    Do NOT use when: you want a managed stop-loss/take-profit exit\n    (`create_position_executor`), or multi-level entry (`create_dca_executor` /\n    `create_grid_executor`).\n\n    ON SOLANA, WHETHER YOU RECEIVED WHAT YOU ASKED FOR DEPENDS ON THE ROUTE. A BUY is\n    an ExactOut order; a thin token with no ExactOut route is quoted by pricing the sell\n    leg forward instead \u2014 roughly 2.5% short, up to 4.83% observed. The order is\n    silently RESIZED, not overcharged, which is what makes it dangerous to a caller who\n    asked for a quantity. The quote's `approximation` flag says which case you are in:\n    when true, read the true post-swap wallet balance before feeding the amount into a\n    call that must spend those tokens (an LP open's base_amount, say); when false the\n    figure is exact to the lamport. A blanket safety haircut is wrong on an exact fill.\n\n    OBSERVABILITY: `custom_info` carries `transaction_hash` (the on-chain signature \u2014\n    `order_id` is internal and appears nowhere on chain), plus `slippage_pct` and\n    `max_slippage_pct`. `slippage_pct` is the LIVE tolerance: above the configured start\n    means earlier attempts failed on slippage and this one is paying to get through.\n\n    AN EXECUTOR ID IS NOT A POSITION. The API accepts the config first and the executor\n    checks its budget when it starts; an unfunded one terminates at once with\n    INSUFFICIENT_BALANCE. This tool watches the new executor for a few seconds and\n    reports what it did: an error means nothing was opened, and \"nothing filled yet\"\n    means the entry is not confirmed. Tell the user a position is open only when the\n    result (or `get_executor`) shows it running with volume filled.\n\n    Args:\n        connector_name: Exchange connector, or a NETWORK id for a DEX swap (see above).\n        trading_pair: Trading pair, e.g. 'SOL-USDC'. On a DEX either side may be a raw\n            TOKEN ADDRESS instead of a symbol \u2014 'BANKJmvh...-USDC' is valid, and the\n            token does NOT need to be registered with Gateway first: it resolves the\n            mint and reads decimals on-chain. Never add a token to Gateway as a\n            prerequisite for trading it, and never guess decimals in order to do so.\n        side: 1 = BUY, 2 = SELL.\n        amount: Order amount in BASE currency, or a USD value as a '$'-prefixed string\n            such as '$100'. A string either way.\n        execution_strategy: 'MARKET' fills now; 'LIMIT' rests at `price`; 'LIMIT_MAKER'\n            is post-only and is rejected if it would match immediately; 'LIMIT_CHASER'\n            re-posts as the market moves.\n        price: Required for LIMIT and LIMIT_MAKER.\n        chaser_distance: How far from best price to rest, as a decimal fraction, e.g.\n            0.001 = 0.1%. Required with chaser_refresh_threshold for LIMIT_CHASER.\n        chaser_refresh_threshold: How far price must move before re-posting, as a\n            decimal fraction, e.g. 0.0005 = 0.05%.\n        leverage: Leverage multiplier. Backend default 1.\n        position_action: 'OPEN' or 'CLOSE' \u2014 useful for perpetuals in HEDGE mode.\n            Backend default OPEN.\n        level_id: Optional identifier tag.\n        account_name: Account to trade from. Default 'master_account'.\n        controller_id: Controller tag that owns the executor. Default 'main'. An\n            autonomous agent MUST pass its own agent id here.\n        save_as_default: Save these arguments as the defaults for order executors.\n\n    Examples:\n    - Market-buy $100 of SOL: create_order_executor(\"binance\", \"SOL-USDT\", 1, \"$100\",\n      \"MARKET\")\n    - Swap 0.5 SOL for USDC on Solana: create_order_executor(\"solana-mainnet-beta\",\n      \"SOL-USDC\", 2, \"0.5\", \"MARKET\")\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "amount": {
+            "title": "Amount",
+            "type": "string"
+          },
+          "chaser_distance": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Chaser Distance"
+          },
+          "chaser_refresh_threshold": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Chaser Refresh Threshold"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "execution_strategy": {
+            "enum": [
+              "MARKET",
+              "LIMIT",
+              "LIMIT_MAKER",
+              "LIMIT_CHASER"
+            ],
+            "title": "Execution Strategy",
+            "type": "string"
+          },
+          "level_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Level Id"
+          },
+          "leverage": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Leverage"
+          },
+          "position_action": {
+            "anyOf": [
+              {
+                "enum": [
+                  "OPEN",
+                  "CLOSE",
+                  "NIL"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Position Action"
+          },
+          "price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Price"
+          },
+          "save_as_default": {
+            "default": false,
+            "title": "Save As Default",
+            "type": "boolean"
+          },
+          "side": {
+            "enum": [
+              1,
+              2
+            ],
+            "title": "Side",
+            "type": "integer"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pair",
+          "side",
+          "amount",
+          "execution_strategy"
+        ],
+        "title": "create_order_executorArguments",
+        "type": "object"
+      },
+      "name": "create_order_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "create_order_executorOutput",
+        "type": "object"
+      }
+    },
+    "create_position_executor": {
+      "description": "Open a directional position with automated stop-loss and take-profit. Spends real funds.\n\n    Use this tool when you have a directional view and want the exit managed for you:\n    one entry, then stop-loss / take-profit / time-limit / trailing-stop barriers that\n    close the position without another call.\n\n    Do NOT use when: you want to build the position gradually (`create_dca_executor`),\n    trade a range without a directional view (`create_grid_executor`), or place a plain\n    one-off order with no managed exit (`create_order_executor`).\n\n    AMOUNT IS IN BASE CURRENCY, NOT USD. This is the sharpest trap in the tool: for\n    BTC-USDT, `amount=0.01` is 0.01 BTC, not $0.01 and not $100. To size by USD, price\n    the pair first and divide \u2014 `amount = usd_value / price`. There is no\n    `total_amount_quote` here; that field belongs to the grid executor.\n\n    ORDER TYPES are `1`=MARKET, `2`=LIMIT, `3`=LIMIT_MAKER. Omitting them uses the\n    backend's own defaults (LIMIT to open, MARKET for every exit).\n\n    AN EXECUTOR ID IS NOT A POSITION. The API accepts the config first and the executor\n    checks its budget when it starts; an unfunded one terminates at once with\n    INSUFFICIENT_BALANCE. This tool watches the new executor for a few seconds and\n    reports what it did: an error means nothing was opened, and \"nothing filled yet\"\n    means the entry is not confirmed. Tell the user a position is open only when the\n    result (or `get_executor`) shows it running with volume filled.\n\n    Args:\n        connector_name: Exchange connector, e.g. 'binance_perpetual'.\n        trading_pair: Trading pair, e.g. 'BTC-USDT'.\n        side: 1 = BUY/LONG, 2 = SELL/SHORT.\n        amount: Position size in BASE currency (see above).\n        entry_price: Limit entry price. OMIT for a market entry.\n        leverage: Leverage multiplier. Backend default 1.\n        stop_loss: Stop-loss as a decimal fraction, e.g. 0.02 = 2%.\n        take_profit: Take-profit as a decimal fraction, e.g. 0.03 = 3%.\n        time_limit: Maximum position duration in SECONDS.\n        trailing_stop_activation_price: Price delta at which the trailing stop arms.\n            Only takes effect together with trailing_stop_trailing_delta.\n        trailing_stop_trailing_delta: Distance the trailing stop follows behind price.\n        open_order_type: Order type for the entry. Backend default 2 (LIMIT).\n        take_profit_order_type: Backend default 1 (MARKET).\n        stop_loss_order_type: Backend default 1 (MARKET).\n        time_limit_order_type: Backend default 1 (MARKET).\n        level_id: Optional identifier tag.\n        account_name: Account to trade from. Default 'master_account'.\n        controller_id: Controller tag that owns the executor. Default 'main'. An\n            autonomous agent MUST pass its own agent id here \u2014 it is what attributes\n            the position to the session that opened it.\n        save_as_default: Save these arguments as the defaults for position executors.\n\n    Example:\n    - Long 0.01 BTC at 5x with a 2% stop and 3% target:\n      create_position_executor(\"binance_perpetual\", \"BTC-USDT\", 1, 0.01, leverage=5,\n      stop_loss=0.02, take_profit=0.03)\n\n    For sizing from a stop distance and setting the risk/reward, read the\n    'directional_position' skill if the Condor skills library is available.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "amount": {
+            "title": "Amount",
+            "type": "number"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "entry_price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Entry Price"
+          },
+          "level_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Level Id"
+          },
+          "leverage": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Leverage"
+          },
+          "open_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Open Order Type"
+          },
+          "save_as_default": {
+            "default": false,
+            "title": "Save As Default",
+            "type": "boolean"
+          },
+          "side": {
+            "enum": [
+              1,
+              2
+            ],
+            "title": "Side",
+            "type": "integer"
+          },
+          "stop_loss": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Stop Loss"
+          },
+          "stop_loss_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Stop Loss Order Type"
+          },
+          "take_profit": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Take Profit"
+          },
+          "take_profit_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Take Profit Order Type"
+          },
+          "time_limit": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Time Limit"
+          },
+          "time_limit_order_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  1,
+                  2,
+                  3
+                ],
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Time Limit Order Type"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          },
+          "trailing_stop_activation_price": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trailing Stop Activation Price"
+          },
+          "trailing_stop_trailing_delta": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trailing Stop Trailing Delta"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pair",
+          "side",
+          "amount"
+        ],
+        "title": "create_position_executorArguments",
+        "type": "object"
+      },
+      "name": "create_position_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "create_position_executorOutput",
+        "type": "object"
+      }
+    },
+    "execute_swap": {
+      "description": "Sign and submit a one-shot DEX swap on-chain. Spends real funds \u2014 quote first.\n\n    Same connector/network semantics as `quote_swap` (the \"name/type\" connector form,\n    and Gateway's symbol-matched pool resolution) \u2014 read that tool's docstring for them,\n    then take a quote before calling this.\n\n    Do NOT use when:\n    - the swap is part of a strategy \u2192 `create_order_executor` with\n      `connector_name=<network>` (e.g.\n      \"solana-mainnet-beta\") and `execution_strategy=\"MARKET\"` swaps through this same\n      Gateway route, and adds what a one-shot call cannot: the slippage ramp\n      (`slippage_pct` / `slippage_multiplier` / `max_slippage_pct`), which starts tight\n      and widens only on a failure Gateway attributes to slippage \u2014 a swap here carries\n      ONE fixed tolerance and never retries at a wider one \u2014 and an executor record, so\n      the fill is tagged with `controller_id` and reaches PnL attribution. A swap here is\n      written to swap history only, so an entry executed this way and the position it\n      funds land in different ledgers.\n    - you only want a price \u2192 `quote_swap` (free).\n\n    Use this tool when order_executor cannot express what you need: a pool-scoped\n    connector the executor does not route to, or a one-off swap outside any strategy.\n\n    Returns a transaction hash; resolve it with `get_swap_status`.\n\n    Args:\n        connector: Connector in \"name/type\" form, e.g. 'jupiter/router', 'meteora/amm',\n            'raydium/clmm'.\n        network: Network ID in 'chain-network' format, e.g. 'solana-mainnet-beta',\n            'ethereum-mainnet'.\n        trading_pair: Trading pair as 'BASE-QUOTE'; either side may be a SYMBOL or a raw\n            TOKEN ADDRESS (see `quote_swap`).\n        side: 'BUY' (buy base with quote) or 'SELL' (sell base for quote).\n        amount: Base token amount to buy or sell.\n        slippage_pct: Maximum slippage percentage. OMIT to use the connector's configured\n            slippage; '0' is a real value, not \"use the default\".\n        wallet_address: Wallet to sign with (optional, uses the default wallet).\n        extra_params: Connector-specific params under Gateway's own names. Supported:\n            'approximateIfNoExactOut' (bool, jupiter/dflow/okx/titan routers).\n    ",
+      "inputSchema": {
+        "properties": {
+          "amount": {
+            "title": "Amount",
+            "type": "string"
+          },
+          "connector": {
+            "title": "Connector",
+            "type": "string"
+          },
+          "extra_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Extra Params"
+          },
+          "network": {
+            "title": "Network",
+            "type": "string"
+          },
+          "side": {
+            "enum": [
+              "BUY",
+              "SELL"
+            ],
+            "title": "Side",
+            "type": "string"
+          },
+          "slippage_pct": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Slippage Pct"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          },
+          "wallet_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Wallet Address"
+          }
+        },
+        "required": [
+          "connector",
+          "network",
+          "trading_pair",
+          "side",
+          "amount"
+        ],
+        "title": "execute_swapArguments",
+        "type": "object"
+      },
+      "name": "execute_swap",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "execute_swapOutput",
+        "type": "object"
+      }
+    },
+    "executor_defaults": {
+      "description": "Read, replace or reset the saved executor defaults. Local file, no funds.\n\n    Saved defaults merge UNDERNEATH whatever a `create_*_executor` call actually passes,\n    so they fill in the fields the call omitted and never override one it set. This is\n    how a user's preferred leverage or account travels across sessions.\n\n    Do NOT use this to create an executor \u2014 the create tools merge the defaults\n    themselves. To save the arguments of a create as the new defaults, pass\n    `save_as_default=True` on that create instead of editing this file.\n\n    Actions:\n    - \"get\": Read the whole defaults file, markdown and YAML blocks included.\n    - \"save\": Replace the whole file with `content`. Read it with \"get\" first \u2014 this\n      overwrites, it does not merge.\n    - \"reset\": Restore the shipped documentation, preserving existing YAML configs.\n\n    Args:\n        action: One of get, save, reset.\n        content: Complete markdown content. Required for \"save\".\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "get",
+              "save",
+              "reset"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "content": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Content"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "executor_defaultsArguments",
+        "type": "object"
+      },
+      "name": "executor_defaults",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "executor_defaultsOutput",
+        "type": "object"
+      }
+    },
+    "explore_dex_pools": {
+      "description": "Explore DeFi CLMM pools \u2014 discover pools, compare yields, and get pool details.\n\n    Supports CLMM DEX connectors (Meteora, Raydium, Uniswap V3) for concentrated liquidity.\n\n    - list_pools: Browse available CLMM pools with filtering and sorting\n    - get_pool_info: Get detailed information about a specific pool (requires network + pool_address)\n\n    To manage LP positions, use `create_lp_executor`.\n    To check on-chain positions, use `get_portfolio_overview` with `include_lp_positions=True`.\n\n    Args:\n        action: Action to perform on CLMM pools.\n        connector: CLMM connector name (e.g., 'meteora', 'raydium', 'orca', 'uniswap', 'pancakeswap'). Required.\n        network: Network ID in 'chain-network' format (e.g., 'solana-mainnet-beta'). Required for get_pool_info.\n        pool_address: Pool contract address (required for get_pool_info).\n        page: Page number for list_pools (default: 0).\n        limit: Results per page for list_pools (default: 50, max: 100).\n        search_term: Search term to filter pools by token symbols (e.g., 'SOL', 'USDC').\n        sort_key: Sort by field for list_pools. Defaults to 'tvl', which is the LP\n            question \u2014 how much depth is there. 'volume' ranks by how much OTHERS traded,\n            and on a quiet pair every pool ties at zero, making the order arbitrary: on\n            UMBRA-USDC that put a pool holding $1.07 above one holding $15.34K, and buried\n            the deep one at row 68 of 73. meteora: tvl, volume, feetvlratio.\n            orca: tvl, volume, fees, rewards, yieldovertvl. Anything else is rejected with\n            the legal list rather than failing upstream.\n        order_by: Sort order for list_pools ('asc' or 'desc').\n        include_unknown: Include pools with unverified tokens (default: True).\n        detailed: Return detailed table with more columns for list_pools (default: False).\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list_pools",
+              "get_pool_info"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "connector": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector"
+          },
+          "detailed": {
+            "default": false,
+            "title": "Detailed",
+            "type": "boolean"
+          },
+          "include_unknown": {
+            "default": true,
+            "title": "Include Unknown",
+            "type": "boolean"
+          },
+          "limit": {
+            "default": 50,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "order_by": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": "desc",
+            "title": "Order By"
+          },
+          "page": {
+            "default": 0,
+            "title": "Page",
+            "type": "integer"
+          },
+          "pool_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Address"
+          },
+          "search_term": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Search Term"
+          },
+          "sort_key": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": "tvl",
+            "title": "Sort Key"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "explore_dex_poolsArguments",
+        "type": "object"
+      },
+      "name": "explore_dex_pools",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "explore_dex_poolsOutput",
+        "type": "object"
+      }
+    },
+    "explore_geckoterminal": {
+      "description": "Explore DEX market data from GeckoTerminal (free, no API key needed).\n\n    Progressive discovery flow:\n    1. action=\"networks\" \u2192 List all supported networks (solana, eth, bsc, ...)\n    2. action=\"dexes\" + network \u2192 List DEXes on a network\n    3. action=\"trending_pools\" (+ network) \u2192 Trending pools globally or per network\n    4. action=\"top_pools\" + network (+ dex_id) \u2192 Top pools by volume on a network/dex\n    5. action=\"new_pools\" (+ network) \u2192 Recently created pools\n    6. action=\"pool_detail\" + network + pool_address \u2192 Detailed info for one pool\n    7. action=\"multi_pools\" + network + pool_addresses \u2192 Compare multiple pools\n    8. action=\"token_pools\" + network + token_address \u2192 Top pools for a token\n    9. action=\"token_info\" + network + token_address \u2192 Token details (price, mcap, fdv)\n    10. action=\"ohlcv\" + network + pool_address \u2192 OHLCV candle data\n    11. action=\"trades\" + network + pool_address \u2192 Recent trades\n\n    Args:\n        action: The data to retrieve.\n        network: Network ID (e.g., 'solana', 'eth', 'bsc'). Required for most actions.\n        dex_id: DEX ID filter for top_pools (e.g., 'raydium', 'uniswap_v3').\n        pool_address: Pool contract address (for pool_detail, ohlcv, trades).\n        pool_addresses: List of pool addresses (for multi_pools).\n        token_address: Token contract address (for token_pools, token_info).\n        timeframe: OHLCV interval (default: '1h'). Options: 1m, 5m, 15m, 1h, 4h, 12h, 1d.\n        before_timestamp: Fetch OHLCV candles before this unix timestamp (pagination).\n        currency: OHLCV price currency, 'usd' or 'token' (default: 'usd').\n        token: Which token's price for OHLCV, 'base' or 'quote' (default: 'base').\n        limit: Max OHLCV candles to return (default: 1000).\n        trade_volume_filter: Min trade volume in USD to filter trades (optional).\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "networks",
+              "dexes",
+              "trending_pools",
+              "top_pools",
+              "new_pools",
+              "pool_detail",
+              "multi_pools",
+              "token_pools",
+              "token_info",
+              "ohlcv",
+              "trades"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "before_timestamp": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Before Timestamp"
+          },
+          "currency": {
+            "default": "usd",
+            "title": "Currency",
+            "type": "string"
+          },
+          "dex_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Dex Id"
+          },
+          "limit": {
+            "default": 1000,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "pool_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Address"
+          },
+          "pool_addresses": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Addresses"
+          },
+          "timeframe": {
+            "default": "1h",
+            "title": "Timeframe",
+            "type": "string"
+          },
+          "token": {
+            "default": "base",
+            "title": "Token",
+            "type": "string"
+          },
+          "token_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Token Address"
+          },
+          "trade_volume_filter": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trade Volume Filter"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "explore_geckoterminalArguments",
+        "type": "object"
+      },
+      "name": "explore_geckoterminal",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "explore_geckoterminalOutput",
+        "type": "object"
+      }
+    },
+    "get_executor": {
+      "description": "Get one executor's full detail, optionally with its logs. Read-only.\n\n    Use this tool when you have an executor id and need its config, state and PnL. To\n    find the id first, use `list_executors`.\n\n    LOGS EXIST ONLY WHILE THE EXECUTOR RUNS. They are cleared on completion, so an\n    empty log list on a terminated executor is normal and not a failure. If the detail\n    is available but the logs are not, both facts are reported rather than neither.\n\n    Args:\n        executor_id: The executor to fetch.\n        include_logs: Also fetch this executor's logs.\n        log_level: Filter logs to 'ERROR', 'WARNING', 'INFO' or 'DEBUG'.\n        log_limit: Maximum log entries. Default 50.\n    ",
+      "inputSchema": {
+        "properties": {
+          "executor_id": {
+            "title": "Executor Id",
+            "type": "string"
+          },
+          "include_logs": {
+            "default": false,
+            "title": "Include Logs",
+            "type": "boolean"
+          },
+          "log_level": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Log Level"
+          },
+          "log_limit": {
+            "default": 50,
+            "title": "Log Limit",
+            "type": "integer"
+          }
+        },
+        "required": [
+          "executor_id"
+        ],
+        "title": "get_executorArguments",
+        "type": "object"
+      },
+      "name": "get_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "get_executorOutput",
+        "type": "object"
+      }
+    },
+    "get_market_data": {
+      "description": "Read OHLCV candles back as rows, without writing any code.\n\n    Returns numbers, not a table: `candles` is a list of\n    `{timestamp, open, high, low, close, volume}` floats, ready to be read off\n    or handed to a snippet.\n\n    WHEN TO USE THIS INSTEAD OF `run_code`: when the candles ARE the answer \u2014\n    the last N bars of one pair, the range they cover, whether a connector even\n    serves OHLCV. When you are going to *compute* on them \u2014 an indicator, a\n    regime, a spread across three venues, anything with pandas in it \u2014 write the\n    snippet instead: `client.market_data.*` inside `run_code` gathers venues in\n    one round trip and does the arithmetic where the data already is.\n\n    IN A DRY RUN THIS IS THE ONLY CANDLE READ. A snippet and a routine both hold\n    the unrestricted API client, so neither runs in a rehearsal; this tool has no\n    write path at all and runs in every mode.\n\n    Actions:\n    - \"candles\": the most recent `max_records` candles (needs connector_name,\n      trading_pair)\n    - \"historical_candles\": a unix time range (needs start_time; end_time\n      optional)\n    - \"connectors\": which connectors serve OHLCV at all \u2014 check before asking a\n      DEX for candles: Gateway AMM/CLMM connectors never serve them, and CLOB\n      DEXs vary (`hyperliquid_perpetual` does, `xrpl` does not)\n\n    Args:\n        action: What to read.\n        connector_name: Exchange connector, e.g. 'binance_perpetual'.\n        trading_pair: Pair to read, e.g. 'SOL-USDT'.\n        interval: Candle interval \u2014 '1m', '5m', '1h', '4h', '1d'.\n        max_records: Rows to return (default 200, max 1000).\n        start_time: Range start, unix epoch seconds (historical_candles).\n        end_time: Range end, unix epoch seconds. Defaults to now.\n\n    Example:\n    - get_market_data(\"candles\", \"binance_perpetual\", \"SOL-USDT\", interval=\"1h\",\n      max_records=168)\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "candles",
+              "historical_candles",
+              "connectors"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "connector_name": {
+            "default": "",
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "end_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "End Time"
+          },
+          "interval": {
+            "default": "1m",
+            "title": "Interval",
+            "type": "string"
+          },
+          "max_records": {
+            "default": 200,
+            "title": "Max Records",
+            "type": "integer"
+          },
+          "start_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Start Time"
+          },
+          "trading_pair": {
+            "default": "",
+            "title": "Trading Pair",
+            "type": "string"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "get_market_dataArguments",
+        "type": "object"
+      },
+      "name": "get_market_data",
+      "outputSchema": {
+        "additionalProperties": true,
+        "title": "get_market_dataDictOutput",
+        "type": "object"
+      }
+    },
+    "get_performance_report": {
+      "description": "Get aggregate executor performance. Read-only.\n\n    Use this tool for realized and unrealized PnL across executors, optionally scoped to\n    one controller.\n\n    Args:\n        controller_id: Restrict the report to one controller's executors. OMIT for all.\n    ",
+      "inputSchema": {
+        "properties": {
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          }
+        },
+        "title": "get_performance_reportArguments",
+        "type": "object"
+      },
+      "name": "get_performance_report",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "get_performance_reportOutput",
+        "type": "object"
+      }
+    },
+    "get_portfolio_overview": {
+      "description": "Get a unified portfolio overview with balances, perpetual positions, LP positions, and active orders.\n\n    This tool provides a comprehensive view of your entire portfolio by fetching data from multiple sources\n    in parallel. By default, it returns all four types of data, but you can filter to only include\n    specific sections.\n\n    Data Sources (fetched in parallel using asyncio.gather):\n    1. Token Balances - Holdings across all connected CEX/DEX exchanges\n    2. Perpetual Positions - Open perpetual futures positions from CEX\n    3. LP Positions (CLMM) - Real-time concentrated liquidity positions from blockchain DEXs\n       - Queries database to find all pools user has interacted with\n       - Calls get_positions() for each pool to fetch real-time blockchain data\n       - Includes real-time fees and token amounts\n    4. Active Orders - Currently open orders across all exchanges\n\n    NOTE: This only shows ACTIVE/OPEN positions. For historical data, use\n    search_history(data_type=\"orders\") \u2014 note that search_history's perp_positions\n    reads this same open book, not a closed-position history.\n\n    Args:\n        account_names: List of account names to filter by (optional). If empty, returns all accounts.\n        connector_names: List of connector names to filter by (optional). If empty, returns all connectors.\n        include_balances: Include token balances in the overview (default: True)\n        include_perp_positions: Include perpetual positions in the overview (default: True)\n        include_lp_positions: Include LP (CLMM) positions in the overview (default: True)\n        include_active_orders: Include active (open) orders in the overview (default: True)\n        as_distribution: Show token balances as distribution percentages (default: False)\n        refresh: If True, refresh balances from exchanges before returning. If False, return cached state (default: True)\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Names"
+          },
+          "as_distribution": {
+            "default": false,
+            "title": "As Distribution",
+            "type": "boolean"
+          },
+          "connector_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector Names"
+          },
+          "include_active_orders": {
+            "default": true,
+            "title": "Include Active Orders",
+            "type": "boolean"
+          },
+          "include_balances": {
+            "default": true,
+            "title": "Include Balances",
+            "type": "boolean"
+          },
+          "include_lp_positions": {
+            "default": true,
+            "title": "Include Lp Positions",
+            "type": "boolean"
+          },
+          "include_perp_positions": {
+            "default": true,
+            "title": "Include Perp Positions",
+            "type": "boolean"
+          },
+          "refresh": {
+            "default": true,
+            "title": "Refresh",
+            "type": "boolean"
+          }
+        },
+        "title": "get_portfolio_overviewArguments",
+        "type": "object"
+      },
+      "name": "get_portfolio_overview",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "get_portfolio_overviewOutput",
+        "type": "object"
+      }
+    },
+    "get_prices": {
+      "description": "Get the latest price for one or more trading pairs on a connector.\n\n    Args:\n        connector_name: Exchange connector name (e.g., 'binance', 'binance_perpetual')\n        trading_pairs: Trading pairs to price (e.g., ['BTC-USDT', 'ETH-USDT'])\n\n    Example:\n    - get_prices(\"binance\", [\"BTC-USDT\", \"ETH-USDT\"])\n    ",
+      "inputSchema": {
+        "properties": {
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "trading_pairs": {
+            "items": {
+              "type": "string"
+            },
+            "title": "Trading Pairs",
+            "type": "array"
+          }
+        },
+        "required": [
+          "connector_name",
+          "trading_pairs"
+        ],
+        "title": "get_pricesArguments",
+        "type": "object"
+      },
+      "name": "get_prices",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "get_pricesOutput",
+        "type": "object"
+      }
+    },
+    "get_swap_status": {
+      "description": "Resolve a submitted swap by its transaction hash.\n\n    Use this tool when: `execute_swap` returned a hash and you need to know whether the\n    swap confirmed, is still pending, or failed.\n\n    Args:\n        transaction_hash: Transaction hash returned by `execute_swap`.\n    ",
+      "inputSchema": {
+        "properties": {
+          "transaction_hash": {
+            "title": "Transaction Hash",
+            "type": "string"
+          }
+        },
+        "required": [
+          "transaction_hash"
+        ],
+        "title": "get_swap_statusArguments",
+        "type": "object"
+      },
+      "name": "get_swap_status",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "get_swap_statusOutput",
+        "type": "object"
+      }
+    },
+    "list_executors": {
+      "description": "List executors, filtered. Read-only.\n\n    Use this tool when you need the fleet: what is running, on which pairs, under which\n    controller. For one executor's full detail use `get_executor`.\n\n    Every filter is optional and they AND together. Omitting all of them lists\n    everything up to `limit`.\n\n    Args:\n        account_names: Filter by account names.\n        connector_names: Filter by connector names.\n        trading_pairs: Filter by trading pairs.\n        executor_types: Filter by type, e.g. ['grid_executor', 'lp_executor'].\n        controller_ids: Filter by the controller tag that owns them.\n        status: 'RUNNING' or 'TERMINATED'.\n        cursor: Pagination cursor from a previous call.\n        limit: Maximum results, 1-1000. Default 50.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Names"
+          },
+          "connector_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector Names"
+          },
+          "controller_ids": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Ids"
+          },
+          "cursor": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Cursor"
+          },
+          "executor_types": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Executor Types"
+          },
+          "limit": {
+            "default": 50,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "status": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Status"
+          },
+          "trading_pairs": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trading Pairs"
+          }
+        },
+        "title": "list_executorsArguments",
+        "type": "object"
+      },
+      "name": "list_executors",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "list_executorsOutput",
+        "type": "object"
+      }
+    },
+    "list_orphaned_positions": {
+      "description": "List terminated executors that may still own an on-chain position. Read-only.\n\n    Use this tool when an LP executor terminated unexpectedly, and before opening any\n    new position on the same funds. It reports the dex, pool and network needed to close\n    each one.\n\n    An orphan is a position with no automated owner: a close that exhausted its retries\n    (POSITION_HOLD with a hold_reason), a legacy FAILED executor still carrying a\n    position_address, or an LP executor reaped by an API restart. Stopping the executor\n    will NOT close it \u2014 it has already terminated \u2014 and a fresh `create_lp_executor`\n    CANNOT adopt it; it would mint a second funded position on top.\n\n    Recover with `manage_clmm(action=\"close\", ...)`, where pool_address is REQUIRED\n    because LP-executor positions are opened straight against Gateway and have no row in\n    the API database. Then call `resolve_orphaned_position`.\n\n    For the full cross-server procedure, read the 'recover_orphaned_position' skill if\n    the Condor skills library is available.\n    ",
+      "inputSchema": {
+        "properties": {},
+        "title": "list_orphaned_positionsArguments",
+        "type": "object"
+      },
+      "name": "list_orphaned_positions",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "list_orphaned_positionsOutput",
+        "type": "object"
+      }
+    },
+    "list_positions_held": {
+      "description": "List spot positions held by executors. Read-only.\n\n    Use this tool to see what the bot is actually holding, as opposed to which\n    executors are running (`list_executors`). Give BOTH connector_name and trading_pair\n    for one position's detail; omit them for the whole summary.\n\n    Args:\n        connector_name: Connector to filter by. Needs trading_pair to select one.\n        trading_pair: Trading pair to filter by. Needs connector_name.\n        account_name: Account. Default 'master_account'.\n        controller_id: Restrict to one controller's positions.\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Name"
+          },
+          "connector_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector Name"
+          },
+          "controller_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Id"
+          },
+          "trading_pair": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trading Pair"
+          }
+        },
+        "title": "list_positions_heldArguments",
+        "type": "object"
+      },
+      "name": "list_positions_held",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "list_positions_heldOutput",
+        "type": "object"
+      }
+    },
+    "manage_amm": {
+      "description": "Direct AMM pool operations + pool creation, chain- & DEX-agnostic (Meteora / Raydium / Uniswap).\n\n    Stateless \u2014 you hold position state in your journal. Progressive disclosure: call with NO\n    `action` to load the AMM guide, action list, per-connector param matrix, and network list.\n\n    Actions:\n    - pool_info / position_info \u2192 read pool reserves/price/fee; read your position (aggregate + positions[])\n    - positions_owned \u2192 list ALL your positions across pools (meteora only)\n    - quote_liquidity / add_liquidity / remove_liquidity \u2192 two-sided LP in/out\n    - create_pool \u2192 create + seed a new pool (market-price seeded by default; anti-snipe)\n\n    Connectors: meteora (Solana DAMM v2), raydium (Solana CPMM), uniswap (EVM V2).\n\n    Meteora DAMM v2 positions are NFTs, so this tool is position-addressed: remove_liquidity REQUIRES\n    position_address, add_liquidity takes it optionally (omit = open a new position), position_info\n    returns a positions[] breakdown, positions_owned lists all your positions. Fungible-LP AMMs\n    (raydium, uniswap) ignore position_address and have no enumerable positions.\n\n    create_pool extras ride extra_params under Gateway's own names: meteora\u2192configAddress\n    (required); raydium\u2192ammConfigIndex (optional); uniswap/pancakeswap (EVM)\u2192none\n    (0.30% fixed fee). Unknown keys are rejected with a 400.\n\n    Scope: AMM only. Router/one-shot swaps \u2192 `create_order_executor`; CLMM LP \u2192\n    `create_lp_executor`.\n\n    Args:\n        action: AMM action. Leave empty to load the AMM guide + param matrix.\n        connector: AMM connector (required for any action): meteora | raydium | uniswap.\n        network: Network ID in 'chain-network' format (e.g., 'solana-mainnet-beta', 'ethereum-mainnet').\n        wallet_address: Wallet address (optional, uses default if not provided).\n        pool_address: Pool contract address.\n        position_address: Meteora NFT position \u2014 required for remove_liquidity, optional for add_liquidity (omit = new position).\n        base_token: Base token symbol or address (create_pool).\n        quote_token: Quote token symbol or address (pool quote, for create_pool).\n        slippage_pct: Maximum slippage percentage (string).\n        base_token_amount: Base token amount (add_liquidity / quote_liquidity / create_pool).\n        quote_token_amount: Quote token amount (add_liquidity / quote_liquidity / create_pool).\n        percentage_to_remove: Percentage of liquidity to remove, 0-100 (remove_liquidity).\n        initial_price: Initial price as quote per base (create_pool; overrides quote_token_amount).\n        extra_params: Connector-specific create_pool params under Gateway's own names:\n            configAddress (meteora, required), ammConfigIndex (raydium). Unknown keys\n            are rejected with a 400.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "anyOf": [
+              {
+                "enum": [
+                  "pool_info",
+                  "position_info",
+                  "positions_owned",
+                  "quote_liquidity",
+                  "add_liquidity",
+                  "remove_liquidity",
+                  "create_pool"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Action"
+          },
+          "base_token": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Base Token"
+          },
+          "base_token_amount": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Base Token Amount"
+          },
+          "connector": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector"
+          },
+          "extra_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Extra Params"
+          },
+          "initial_price": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Initial Price"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "percentage_to_remove": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Percentage To Remove"
+          },
+          "pool_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Address"
+          },
+          "position_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Position Address"
+          },
+          "quote_token": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Quote Token"
+          },
+          "quote_token_amount": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Quote Token Amount"
+          },
+          "slippage_pct": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Slippage Pct"
+          },
+          "wallet_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Wallet Address"
+          }
+        },
+        "title": "manage_ammArguments",
+        "type": "object"
+      },
+      "name": "manage_amm",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "manage_ammOutput",
+        "type": "object"
+      }
+    },
+    "manage_bots": {
+      "description": "Manage controller-based bots: deploy, monitor, get logs, control execution, and modify runtime configs.\n\n    \u26a0\ufe0f NOTE: For most trading strategies use the create_*_executor tools instead \u2014\n    create_grid_executor, create_dca_executor, create_position_executor. Only use bots\n    when the user EXPLICITLY asks for \"bot\" deployment or needs advanced features like\n    multi-strategy bots with centralized risk management.\n\n    Actions:\n    - deploy: Deploy a new bot with controller configurations (requires bot_name + controllers_config)\n    - status: Get status of all active bots (no additional params needed)\n    - logs: Get detailed logs for a specific bot (requires bot_name)\n    - stop_bot: Stop and archive a bot forever (requires bot_name)\n    - stop_controllers: Stop specific controllers in a bot (requires bot_name + controller_names).\n      Flips manual_kill_switch in the controller config and verifies the write; the bot picks it\n      up on its next config reload (~10s) and then closes that controller's executors. A stopped\n      controller keeps publishing performance, so confirm with the 'state' column of\n      action=\"status\" (stopped/running), never by the controller still appearing in the table.\n    - start_controllers: Start/resume specific controllers (requires bot_name + controller_names)\n    - get_config: View current configs of a running bot (requires bot_name)\n    - update_config: Modify config of a controller INSIDE a running bot in real-time (requires bot_name + config_name + config_data)\n\n    Args:\n        action: Action to perform on bots.\n        bot_name: Name of the bot (required for deploy, logs, stop_bot, stop/start_controllers, get_config, update_config).\n        controllers_config: List of controller config names (required for deploy).\n        account_name: Account name for deployment (default: master_account).\n        max_global_drawdown_quote: Maximum global drawdown in quote currency (deploy only).\n        max_controller_drawdown_quote: Maximum per-controller drawdown in quote currency (deploy only).\n        image: Docker image for deployment (default: \"hummingbot/hummingbot:latest\").\n        log_type: Type of logs to retrieve for 'logs' action ('error', 'general', 'all').\n        limit: Maximum log entries for 'logs' action (default: 50, max: 1000).\n        search_term: Search term to filter logs by message content (logs only).\n        controller_names: List of controller names (required for stop/start_controllers).\n        config_name: Name of the config to update (required for update_config).\n        config_data: New configuration data (required for update_config). Must include 'controller_type' and 'controller_name'.\n        confirm_override: Required True if overwriting existing config in a running bot (update_config only).\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": "master_account",
+            "title": "Account Name"
+          },
+          "action": {
+            "enum": [
+              "deploy",
+              "status",
+              "logs",
+              "stop_bot",
+              "stop_controllers",
+              "start_controllers",
+              "get_config",
+              "update_config"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "bot_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Bot Name"
+          },
+          "config_data": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config Data"
+          },
+          "config_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config Name"
+          },
+          "confirm_override": {
+            "default": false,
+            "title": "Confirm Override",
+            "type": "boolean"
+          },
+          "controller_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Names"
+          },
+          "controllers_config": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controllers Config"
+          },
+          "image": {
+            "default": "hummingbot/hummingbot:latest",
+            "title": "Image",
+            "type": "string"
+          },
+          "limit": {
+            "default": 50,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "log_type": {
+            "default": "all",
+            "enum": [
+              "error",
+              "general",
+              "all"
+            ],
+            "title": "Log Type",
+            "type": "string"
+          },
+          "max_controller_drawdown_quote": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Max Controller Drawdown Quote"
+          },
+          "max_global_drawdown_quote": {
+            "anyOf": [
+              {
+                "type": "number"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Max Global Drawdown Quote"
+          },
+          "search_term": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Search Term"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_botsArguments",
+        "type": "object"
+      },
+      "name": "manage_bots",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "manage_botsOutput",
+        "type": "object"
+      }
+    },
+    "manage_clmm": {
+      "description": "Direct CLMM position operations, chain- & DEX-agnostic (Meteora / Raydium / Orca / Uniswap / PancakeSwap).\n\n    Stateless \u2014 you hold position state in your journal. Progressive disclosure: call with NO\n    `action` to load the CLMM guide.\n\n    THE UNMANAGED PATH. For normal LP work use `create_lp_executor`, which owns range\n    monitoring, rebalancing and bounded close retries. Use this tool when no executor can do\n    that for you \u2014 above all to RECOVER AN ORPHANED POSITION, which is closed by address here\n    and then marked with `resolve_orphaned_position`. For that procedure read the\n    'recover_orphaned_position' skill if the Condor skills library is available.\n\n    Actions:\n    - position_info \u2192 your positions in a pool with amounts, range, and uncollected fees\n    - open \u2192 create a position NO executor tracks (not range-monitored or auto-closed)\n    - add_liquidity / remove_liquidity \u2192 resize an existing position, keeping its range\n    - close \u2192 withdraw everything, collect fees, close the account\n    - collect_fees \u2192 fees only, position untouched\n    - create_pool \u2192 create a new (empty) CLMM pool; liquidity is added by opening positions\n\n    remove_liquidity at 100% leaves an EMPTY POSITION OPEN; only `close` closes the account. To\n    recover an orphan, use `close`.\n\n    Pool discovery lives in `explore_dex_pools`.\n\n    Args:\n        action: CLMM action. Leave empty to load the CLMM guide.\n        connector: CLMM connector: meteora | raydium | orca | pancakeswap-sol (Solana),\n            uniswap | pancakeswap (EVM). A '<name>/clmm' form is accepted, so an orphan's\n            lp_provider passes through unchanged.\n        network: Network ID in 'chain-network' format (e.g. 'solana-mainnet-beta', 'ethereum-mainnet').\n            For an orphan record this is the `connector_name` field.\n        wallet_address: Wallet address (optional, uses default if not provided).\n        pool_address: Pool contract address. Required for open. On close/collect_fees pass\n            it whenever you have it \u2014 a position opened by an lp_executor has no row in the\n            API database, so the pool cannot be looked up and the call can fail without it.\n            position_info takes no pool filter.\n        position_address: Position NFT address (add_liquidity, remove_liquidity, close, collect_fees).\n        lower_price: Lower price bound of the range (open).\n        upper_price: Upper price bound of the range (open).\n        base_token_amount: Base token amount (open / add_liquidity).\n        quote_token_amount: Quote token amount (open / add_liquidity).\n        percentage_to_remove: Percentage of liquidity to remove, 0-100 (remove_liquidity).\n        slippage_pct: Maximum slippage percentage.\n        base_token: Base token symbol or address (create_pool).\n        quote_token: Quote token symbol or address (create_pool).\n        initial_price: Initial pool price as quote per base (create_pool, optional \u2014\n            the API fetches the market price when omitted).\n        extra_params: Connector-specific params under Gateway's own names.\n            open/add_liquidity: strategyType (meteora DLMM, e.g. {\"strategyType\": 0}).\n            create_pool: binStep (meteora/orca), feeBps (meteora/uniswap/pancakeswap),\n            ammConfigIndex (raydium/pancakeswap-sol). Unknown keys are rejected with a 400.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "anyOf": [
+              {
+                "enum": [
+                  "position_info",
+                  "open",
+                  "add_liquidity",
+                  "remove_liquidity",
+                  "close",
+                  "collect_fees",
+                  "create_pool"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Action"
+          },
+          "base_token": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Base Token"
+          },
+          "base_token_amount": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Base Token Amount"
+          },
+          "connector": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector"
+          },
+          "extra_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Extra Params"
+          },
+          "initial_price": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Initial Price"
+          },
+          "lower_price": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Lower Price"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "percentage_to_remove": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Percentage To Remove"
+          },
+          "pool_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Address"
+          },
+          "position_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Position Address"
+          },
+          "quote_token": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Quote Token"
+          },
+          "quote_token_amount": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Quote Token Amount"
+          },
+          "slippage_pct": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Slippage Pct"
+          },
+          "upper_price": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Upper Price"
+          },
+          "wallet_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Wallet Address"
+          }
+        },
+        "title": "manage_clmmArguments",
+        "type": "object"
+      },
+      "name": "manage_clmm",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "manage_clmmOutput",
+        "type": "object"
+      }
+    },
+    "manage_controllers": {
+      "description": "\n    Manage controller templates and saved configurations (design-time).\n\n    Works with reusable strategy definitions and parameter sets for future deployments.\n    Does NOT affect running bots. To modify a live bot's config, use manage_bots with action='update_config'.\n\n    \u26a0\ufe0f NOTE: For most trading strategies use the create_*_executor tools instead \u2014\n    create_grid_executor, create_dca_executor, create_position_executor. Only use\n    controllers when the user EXPLICITLY asks for \"controllers\", \"bots\", or needs\n    advanced multi-strategy bot deployments with centralized risk management.\n\n    Exploration flow:\n    1. action=\"list\" \u2192 List all controllers and their configs\n    2. action=\"list\" + controller_type \u2192 List controllers of that type with config counts\n    3. action=\"describe\" + controller_name \u2192 Show config parameters template + list existing configs\n    4. action=\"describe\" + config_name \u2192 Show specific config values + its controller's parameters\n    5. action=\"describe\" + include_code=True \u2192 Also include the full controller source code\n\n    Modification flow:\n    6. action=\"upsert\" + target=\"controller\" \u2192 Create/update a controller template\n    7. action=\"upsert\" + target=\"config\" \u2192 Create/update a saved controller config\n    8. action=\"delete\" + target=\"controller\" \u2192 Delete a controller template\n    9. action=\"delete\" + target=\"config\" \u2192 Delete a controller config\n\n    Common Enum Values for Controller Configs:\n\n    Position Mode (position_mode):\n    - \"HEDGE\" - Allows holding both long and short positions simultaneously\n    - \"ONEWAY\" - Allows only one direction position at a time\n\n    Trade Side (side):\n    - 1 or \"BUY\" - For long/buy positions\n    - 2 or \"SELL\" - For short/sell positions\n    - Note: Numeric values are required for controller configs\n\n    Order Type (order_type, open_order_type, take_profit_order_type, etc.):\n    - 1 or \"MARKET\" - Market order\n    - 2 or \"LIMIT\" - Limit order\n    - 3 or \"LIMIT_MAKER\" - Limit maker order (post-only)\n    - Note: Numeric values are required for controller configs\n\n    Args:\n        action: \"list\", \"describe\", \"upsert\" (create/update), or \"delete\"\n        target: \"controller\" (template) or \"config\" (instance). Required for upsert/delete.\n        controller_type: Type of controller (e.g., 'directional_trading', 'market_making', 'generic').\n        controller_name: Name of the controller to describe or modify.\n        controller_code: Code for controller (required for controller upsert).\n        config_name: Name of the config to describe or modify.\n        config_data: Configuration data (required for config upsert). Must include 'controller_type' and 'controller_name'.\n        confirm_override: Required True if overwriting existing items.\n        include_code: If True, include full controller source code in describe output. Default False.\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "describe",
+              "upsert",
+              "delete"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "config_data": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config Data"
+          },
+          "config_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Config Name"
+          },
+          "confirm_override": {
+            "default": false,
+            "title": "Confirm Override",
+            "type": "boolean"
+          },
+          "controller_code": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Code"
+          },
+          "controller_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Name"
+          },
+          "controller_type": {
+            "anyOf": [
+              {
+                "enum": [
+                  "directional_trading",
+                  "market_making",
+                  "generic"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Controller Type"
+          },
+          "include_code": {
+            "default": false,
+            "title": "Include Code",
+            "type": "boolean"
+          },
+          "target": {
+            "anyOf": [
+              {
+                "enum": [
+                  "controller",
+                  "config"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Target"
+          }
+        },
+        "required": [
+          "action"
+        ],
+        "title": "manage_controllersArguments",
+        "type": "object"
+      },
+      "name": "manage_controllers",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "manage_controllersOutput",
+        "type": "object"
+      }
+    },
+    "manage_gateway_config": {
+      "description": "Read Gateway's own configuration, and edit the tokens and pools it knows.\n\n    This is Gateway's config, not the chain. Adding or deleting a token here changes the\n    symbol -> address mapping Gateway resolves against; it moves no funds and touches\n    nothing on-chain.\n\n    Use `tokens` + `list` (with `search`) to answer \"does Gateway know this symbol\",\n    which is the check to run BEFORE quoting or swapping an unfamiliar token: a symbol\n    Gateway cannot resolve fails at the route, not at the trade.\n\n    Resource types:\n    - chains: every blockchain Gateway knows\n    - networks: list/get only, ids in 'chain-network' form ('solana-mainnet-beta').\n      The RPC endpoint and the rest of a network's config are changed by the user\n      in the Condor dashboard (Settings \u2192 Gateway), never by an agent.\n    - tokens: the per-network symbol/address/decimals mapping (list, add, delete, save)\n    - connectors: list/get only. A connector's settings (slippage and the like) are\n      changed by the server owner in Condor, never by an agent.\n    - pools: the named pool registry (list, add, delete, save)\n    - wallets: list only. Add or remove wallets in the Condor dashboard\n      (Settings \u2192 Gateway) \u2014 a private key must never be sent through chat.\n\n    Args:\n        resource_type: Which part of Gateway's config to act on.\n        action: list | get | add | delete | save.\n        network_id: Network id in 'chain-network' form. Required for token and pool actions.\n        connector_name: DEX connector name ('meteora', 'raydium', 'uniswap').\n        token_address: Token contract address. Required to add or delete a token.\n        token_symbol: Token symbol. Required to add a token.\n        token_decimals: Token decimals (6 for USDC, 18 for WETH). Required to add a token.\n        token_name: Token name. Optional on add; defaults to the symbol.\n        pool_type: 'CLMM' or 'AMM'. Required to add a pool.\n        pool_base: Base token symbol. Required to add a pool.\n        pool_quote: Quote token symbol. Required to add a pool.\n        pool_address: Pool contract address. Required to add a pool.\n        search: Filter tokens by symbol or name when listing.\n        network: Bare network name ('mainnet-beta'). Required to list pools.\n        chain: Filter wallets by chain when listing ('solana', 'ethereum').\n    ",
+      "inputSchema": {
+        "properties": {
+          "action": {
+            "enum": [
+              "list",
+              "get",
+              "add",
+              "delete",
+              "save"
+            ],
+            "title": "Action",
+            "type": "string"
+          },
+          "chain": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Chain"
+          },
+          "connector_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector Name"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "network_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network Id"
+          },
+          "pool_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Address"
+          },
+          "pool_base": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Base"
+          },
+          "pool_quote": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Quote"
+          },
+          "pool_type": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Pool Type"
+          },
+          "resource_type": {
+            "enum": [
+              "chains",
+              "networks",
+              "tokens",
+              "connectors",
+              "pools",
+              "wallets"
+            ],
+            "title": "Resource Type",
+            "type": "string"
+          },
+          "search": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Search"
+          },
+          "token_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Token Address"
+          },
+          "token_decimals": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Token Decimals"
+          },
+          "token_name": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Token Name"
+          },
+          "token_symbol": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Token Symbol"
+          }
+        },
+        "required": [
+          "resource_type",
+          "action"
+        ],
+        "title": "manage_gateway_configArguments",
+        "type": "object"
+      },
+      "name": "manage_gateway_config",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "manage_gateway_configOutput",
+        "type": "object"
+      }
+    },
+    "quote_swap": {
+      "description": "Price a DEX swap through Gateway's unified swap route \u2014 free, signs nothing.\n\n    Use this tool when: you want the price, the expected output and the price impact\n    before committing anything. A quote costs nothing and moves nothing, so take one\n    first \u2014 `execute_swap` is the call that spends.\n\n    \"Unified\" is about Gateway's routes, not about tool choice. Router aggregators\n    (jupiter, 0x) and pool-scoped AMM/CLMM swaps all resolve to one route here; the\n    pool-scoped `/trading/amm/*-swap` routes no longer exist.\n\n    CONNECTOR FORMAT. `connector` is \"name/type\":\n    - \"jupiter/router\", \"0x/router\" \u2014 aggregator routing across every pool it knows\n    - \"meteora/amm\", \"raydium/amm\", \"uniswap/amm\" \u2014 swap against an AMM pool\n    - \"meteora/clmm\", \"raydium/clmm\", \"uniswap/clmm\" \u2014 swap against a CLMM pool\n\n    POOL RESOLUTION (read this before trusting a failure). For the pool-scoped forms\n    (`/amm`, `/clmm`) Gateway resolves the pool itself from ITS OWN CONFIGURED POOL LIST,\n    matched BY TOKEN SYMBOL from `trading_pair` \u2014 you cannot pass a pool address here. A token\n    Gateway does not know (a fresh launch mint, a pool created moments ago via\n    `manage_amm(create_pool)`) will NOT resolve, and creating a pool does not register it. Such a\n    call fails with \"No pool found\", which means UNKNOWN, not \"bad token\" \u2014 do not read it as a\n    honeypot or a failed safety check. Route those through an aggregator (\"jupiter/router\"),\n    which quotes off live on-chain routes rather than a config file.\n\n    LP work is elsewhere: `manage_amm` (AMM pools), `manage_clmm` (CLMM positions),\n    `create_lp_executor` (managed LP).\n\n    Args:\n        connector: Connector in \"name/type\" form, e.g. 'jupiter/router', 'meteora/amm',\n            'raydium/clmm'.\n        network: Network ID in 'chain-network' format, e.g. 'solana-mainnet-beta',\n            'ethereum-mainnet'.\n        trading_pair: Trading pair as 'BASE-QUOTE'. Either side may be a SYMBOL or a raw\n            TOKEN ADDRESS, and the address does NOT have to be registered with Gateway\n            first \u2014 Gateway resolves an unknown mint on the spot and reads its decimals\n            on-chain. Do not add a token to Gateway's list as a prerequisite for trading\n            it: that write is a symbol/address mapping, it is not required here, and\n            guessing decimals to satisfy it corrupts the mapping. Pool-scoped connectors\n            match Gateway's pool list by SYMBOL.\n        side: 'BUY' (buy base with quote) or 'SELL' (sell base for quote).\n        amount: Base token amount to buy or sell.\n        slippage_pct: Maximum slippage percentage. OMIT to use the connector's configured\n            slippage; '0' is a real value, not \"use the default\".\n        extra_params: Connector-specific params under Gateway's own names. Supported:\n            'approximateIfNoExactOut' (bool, jupiter/dflow/okx/titan routers).\n    ",
+      "inputSchema": {
+        "properties": {
+          "amount": {
+            "title": "Amount",
+            "type": "string"
+          },
+          "connector": {
+            "title": "Connector",
+            "type": "string"
+          },
+          "extra_params": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Extra Params"
+          },
+          "network": {
+            "title": "Network",
+            "type": "string"
+          },
+          "side": {
+            "enum": [
+              "BUY",
+              "SELL"
+            ],
+            "title": "Side",
+            "type": "string"
+          },
+          "slippage_pct": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Slippage Pct"
+          },
+          "trading_pair": {
+            "title": "Trading Pair",
+            "type": "string"
+          }
+        },
+        "required": [
+          "connector",
+          "network",
+          "trading_pair",
+          "side",
+          "amount"
+        ],
+        "title": "quote_swapArguments",
+        "type": "object"
+      },
+      "name": "quote_swap",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "quote_swapOutput",
+        "type": "object"
+      }
+    },
+    "resolve_orphaned_position": {
+      "description": "Mark an orphaned position as recovered, after closing it. Read-only bookkeeping.\n\n    Use this tool ONLY after the position is actually closed on-chain via\n    `manage_clmm(action=\"close\", ...)`. It updates the API database so the orphan stops\n    appearing in listings and warnings; it closes nothing itself.\n\n    If an lp_rebalancer controller was managing the executor, restart that controller\n    (or its bot) afterwards: its orphan halt is held in memory and only clears on\n    restart.\n\n    Args:\n        executor_id: The orphaned executor, from `list_orphaned_positions`.\n    ",
+      "inputSchema": {
+        "properties": {
+          "executor_id": {
+            "title": "Executor Id",
+            "type": "string"
+          }
+        },
+        "required": [
+          "executor_id"
+        ],
+        "title": "resolve_orphaned_positionArguments",
+        "type": "object"
+      },
+      "name": "resolve_orphaned_position",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "resolve_orphaned_positionOutput",
+        "type": "object"
+      }
+    },
+    "search_history": {
+      "description": "Search historical data from the backend database.\n\n    This tool is for historical analysis, reporting, and tax purposes.\n    For real-time current state, use get_portfolio_overview() instead.\n\n    Data Types:\n    - orders: Historical order data (filled, cancelled, failed)\n    - perp_positions: The CURRENT open perpetual book, NOT a history. The backend\n      has no closed-position endpoint, so there is no closed perp history to search;\n      get_portfolio_overview() returns the same positions. For a time-windowed\n      record of perp activity use data_type=\"orders\".\n    - clmm_positions: CLMM LP positions (both open and closed)\n\n    Filters (only the ones listed for a data type are honoured; passing any other\n    filter raises an error instead of silently ignoring it):\n        account_names: All data types (optional)\n        connector_names: All data types (optional)\n        limit: All data types (default: 50, max: 1000)\n        trading_pairs: orders, clmm_positions (optional)\n        status: orders, clmm_positions (optional, e.g., 'FILLED', 'CANCELED')\n        start_time: orders only, timestamp in seconds (optional)\n        end_time: orders only, timestamp in seconds (optional)\n        offset: clmm_positions only, pagination offset (default: 0)\n        cursor: orders only, the cursor printed at the end of the previous page\n            (optional). orders is cursor-paginated and has no offset at all;\n            clmm_positions is offset-paginated and takes no cursor.\n\n    CLMM-Specific Filters:\n        network: Network filter for CLMM positions (optional)\n        wallet_address: Wallet address filter for CLMM positions (optional)\n        position_addresses: Specific position addresses for CLMM (optional)\n\n    Examples:\n    - Search filled orders: search_history(\"orders\", status=\"FILLED\", limit=100)\n    - Orders in a time window: search_history(\"orders\", start_time=..., end_time=...)\n    - Next page of orders: search_history(\"orders\", cursor=\"<cursor from last page>\")\n    - Current perp book: search_history(\"perp_positions\", account_names=[\"master\"])\n    - Search all CLMM positions: search_history(\"clmm_positions\", limit=100)\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Account Names"
+          },
+          "connector_names": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector Names"
+          },
+          "cursor": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Cursor"
+          },
+          "data_type": {
+            "enum": [
+              "orders",
+              "perp_positions",
+              "clmm_positions"
+            ],
+            "title": "Data Type",
+            "type": "string"
+          },
+          "end_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "End Time"
+          },
+          "limit": {
+            "default": 50,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "offset": {
+            "default": 0,
+            "title": "Offset",
+            "type": "integer"
+          },
+          "position_addresses": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Position Addresses"
+          },
+          "start_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Start Time"
+          },
+          "status": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Status"
+          },
+          "trading_pairs": {
+            "anyOf": [
+              {
+                "items": {
+                  "type": "string"
+                },
+                "type": "array"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trading Pairs"
+          },
+          "wallet_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Wallet Address"
+          }
+        },
+        "required": [
+          "data_type"
+        ],
+        "title": "search_historyArguments",
+        "type": "object"
+      },
+      "name": "search_history",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "search_historyOutput",
+        "type": "object"
+      }
+    },
+    "search_swaps": {
+      "description": "Query swap history with filters. Reads only \u2014 every argument is a filter.\n\n    Use this tool when: you want to see what was swapped, by whom and when. Omitting a\n    filter leaves that dimension unrestricted.\n\n    Args:\n        connector: Filter by connector.\n        network: Filter by network.\n        wallet_address: Filter by wallet address.\n        trading_pair: Filter by trading pair.\n        status: Filter by status: SUBMITTED | CONFIRMED | FAILED.\n        start_time: Start timestamp in unix seconds.\n        end_time: End timestamp in unix seconds.\n        limit: Max results (default 50, max 1000).\n        offset: Pagination offset (default 0).\n    ",
+      "inputSchema": {
+        "properties": {
+          "connector": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Connector"
+          },
+          "end_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "End Time"
+          },
+          "limit": {
+            "default": 50,
+            "title": "Limit",
+            "type": "integer"
+          },
+          "network": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Network"
+          },
+          "offset": {
+            "default": 0,
+            "title": "Offset",
+            "type": "integer"
+          },
+          "start_time": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Start Time"
+          },
+          "status": {
+            "anyOf": [
+              {
+                "enum": [
+                  "SUBMITTED",
+                  "CONFIRMED",
+                  "FAILED"
+                ],
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Status"
+          },
+          "trading_pair": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trading Pair"
+          },
+          "wallet_address": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Wallet Address"
+          }
+        },
+        "title": "search_swapsArguments",
+        "type": "object"
+      },
+      "name": "search_swaps",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "search_swapsOutput",
+        "type": "object"
+      }
+    },
+    "set_account_position_mode_and_leverage": {
+      "description": "Set position mode and leverage for an account on a specific exchange. If position mode is not specified, will only\n    set the leverage. If leverage is not specified, will only set the position mode.\n\n    Args:\n        account_name: Account name (default: master_account)\n        connector_name: Exchange connector name (e.g., 'binance_perpetual')\n        trading_pair: Trading pair (e.g., ETH-USD) only required for setting leverage\n        position_mode: Position mode ('HEDGE' or 'ONEWAY')\n        leverage: Leverage to set (optional, required for HEDGE mode)\n    ",
+      "inputSchema": {
+        "properties": {
+          "account_name": {
+            "title": "Account Name",
+            "type": "string"
+          },
+          "connector_name": {
+            "title": "Connector Name",
+            "type": "string"
+          },
+          "leverage": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Leverage"
+          },
+          "position_mode": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Position Mode"
+          },
+          "trading_pair": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null,
+            "title": "Trading Pair"
+          }
+        },
+        "required": [
+          "account_name",
+          "connector_name"
+        ],
+        "title": "set_account_position_mode_and_leverageArguments",
+        "type": "object"
+      },
+      "name": "set_account_position_mode_and_leverage",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "set_account_position_mode_and_leverageOutput",
+        "type": "object"
+      }
+    },
+    "stop_executor": {
+      "description": "Stop a running executor and close or keep its position. Moves real funds.\n\n    This is also how you CANCEL an order placed with `create_order_executor`.\n\n    STOPPING AN ALREADY-TERMINATED EXECUTOR IS A NO-OP, NOT AN ERROR. It returns the\n    final close_type instead of a 404, and \u2014 for an LP executor \u2014 whether a position\n    was left open on-chain. A 404 means the id is unknown to the API database. A\n    terminated executor's on-chain position CANNOT be closed by stopping it; start from\n    `list_orphaned_positions`, and for the recovery procedure read the\n    'recover_orphaned_position' skill if the Condor skills library is available.\n\n    Args:\n        executor_id: The executor to stop.\n        keep_position: Keep the position open instead of closing it. Default False.\n            For an LP executor the on-chain position always closes; this only decides\n            whether the net token change is kept as a spot position or swapped back.\n    ",
+      "inputSchema": {
+        "properties": {
+          "executor_id": {
+            "title": "Executor Id",
+            "type": "string"
+          },
+          "keep_position": {
+            "default": false,
+            "title": "Keep Position",
+            "type": "boolean"
+          }
+        },
+        "required": [
+          "executor_id"
+        ],
+        "title": "stop_executorArguments",
+        "type": "object"
+      },
+      "name": "stop_executor",
+      "outputSchema": {
+        "properties": {
+          "result": {
+            "title": "Result",
+            "type": "string"
+          }
+        },
+        "required": [
+          "result"
+        ],
+        "title": "stop_executorOutput",
+        "type": "object"
+      }
+    }
+  }
+}

From 8e6489f7d9e412aff48104b09b9667a9b2421c42 Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 18:44:25 +0700
Subject: [PATCH 2/6] feat(mcp): move to mcp 2.x and pydantic-ai 2.x

The two bumps are one: pydantic-ai 1.x requires mcp<2 and 2.x requires
mcp>=2, so there is no resolvable intermediate state. Both now carry a <3
bound so the next major cannot arrive through uv lock --upgrade. groq is no
longer in pydantic-ai's default set and is a supported prefix, hence the extra.

Renames only: FastMCP -> MCPServer, OpenAIModel -> OpenAIChatModel,
Tool.inputSchema -> input_schema. Both servers start and the suite collects.
Red after this commit, ported in the next ones: test_token_usage (6),
test_pydantic_ai_mcp_lifecycle (3), test_agent_identity (3).
---
 condor/acp/pydantic_ai_client.py        |   8 +-
 condor/runtime/context.py               |   2 +-
 condor/runtime/toolsets.py              |   2 +-
 condor/web/routes/agents.py             |   2 +-
 mcp_servers/_profiles.py                |   8 +-
 mcp_servers/condor/profiles.py          |   2 +-
 mcp_servers/condor/server.py            |   8 +-
 mcp_servers/hummingbot_api/__init__.py  |   2 +-
 mcp_servers/hummingbot_api/profiles.py  |   2 +-
 mcp_servers/hummingbot_api/server.py    |  12 +-
 pyproject.toml                          |   4 +-
 tests/test_condor_tool_surface.py       |   4 +-
 tests/test_delegate_timeout_budget.py   |   2 +-
 tests/test_mcp_tool_profiles.py         |   8 +-
 tests/test_pydantic_ai_mcp_lifecycle.py |   4 +-
 tests/test_tool_mutes.py                |  12 +-
 uv.lock                                 | 858 ++++++++----------------
 17 files changed, 305 insertions(+), 635 deletions(-)

diff --git a/condor/acp/pydantic_ai_client.py b/condor/acp/pydantic_ai_client.py
index 6e646ed14..1e5c5e459 100644
--- a/condor/acp/pydantic_ai_client.py
+++ b/condor/acp/pydantic_ai_client.py
@@ -188,7 +188,7 @@ async def healthcheck_local_backend(
 
 
 def _make_openai_compat_model(model_id: str, provider: Any) -> Any:
-    """Build an OpenAIModel that never sends an assistant ``content: null``.
+    """Build an OpenAIChatModel that never sends an assistant ``content: null``.
 
     Ollama's OpenAI-compatible ``/v1/chat/completions`` endpoint rejects any
     message whose ``content`` is null with ``invalid message content type:
@@ -203,9 +203,9 @@ def _make_openai_compat_model(model_id: str, provider: Any) -> Any:
     """
     global _NULL_SAFE_MODEL_CLS
     if _NULL_SAFE_MODEL_CLS is None:
-        from pydantic_ai.models.openai import OpenAIModel
+        from pydantic_ai.models.openai import OpenAIChatModel
 
-        class _NullContentSafeOpenAIModel(OpenAIModel):
+        class _NullContentSafeOpenAIChatModel(OpenAIChatModel):
             async def _map_messages(self, *args: Any, **kwargs: Any) -> Any:
                 mapped = await super()._map_messages(*args, **kwargs)
                 for msg in mapped:
@@ -217,7 +217,7 @@ async def _map_messages(self, *args: Any, **kwargs: Any) -> Any:
                         msg["content"] = ""
                 return mapped
 
-        _NULL_SAFE_MODEL_CLS = _NullContentSafeOpenAIModel
+        _NULL_SAFE_MODEL_CLS = _NullContentSafeOpenAIChatModel
 
     return _NULL_SAFE_MODEL_CLS(model_id, provider=provider)
 
diff --git a/condor/runtime/context.py b/condor/runtime/context.py
index 7176f2201..a243029ba 100644
--- a/condor/runtime/context.py
+++ b/condor/runtime/context.py
@@ -132,7 +132,7 @@ def _chat_mcp_tools() -> tuple[str, ...]:
     Names come from ``mcp_servers.*.profiles`` for the same reason
     :func:`toolsets.seat_tools` reads them there: those are leaf string modules,
     the definition site of each ring, and importing a ``server.py`` to ask would
-    parse argv and build a ``FastMCP`` singleton as a side effect. The import is
+    parse argv and build a ``MCPServer`` singleton as a side effect. The import is
     function-local to keep that dependency off ``context``'s import path.
 
     The tick seat keeps its own, deliberately narrower list in
diff --git a/condor/runtime/toolsets.py b/condor/runtime/toolsets.py
index 594a13475..5bdd3f2d6 100644
--- a/condor/runtime/toolsets.py
+++ b/condor/runtime/toolsets.py
@@ -128,7 +128,7 @@ def seat_tools(agent_slug: str | None, tick: bool = False) -> list[dict[str, Any
 
     Names come from ``mcp_servers.*.profiles`` rather than from the servers
     themselves on purpose: importing either ``server.py`` parses argv and builds
-    a ``FastMCP`` singleton, neither of which a web request has any business
+    a ``MCPServer`` singleton, neither of which a web request has any business
     doing. ``server.py`` resolves the same names against its own functions at
     import, so a table that drifts fails there, loudly, and not here.
 
diff --git a/condor/web/routes/agents.py b/condor/web/routes/agents.py
index 02a19eeb5..e596bd05a 100644
--- a/condor/web/routes/agents.py
+++ b/condor/web/routes/agents.py
@@ -1936,7 +1936,7 @@ def _tool_cards(slug: str, allowlist: list[str]) -> list[ToolCard]:
     ``condor.runtime.toolsets.seat_tools`` is the single place that knows what a
     seat mounts, so the panel asks it rather than re-deriving the rings here.
     It reads the two ``profiles.py`` leaf modules — never ``server.py``, whose
-    import parses argv and builds a ``FastMCP`` singleton.
+    import parses argv and builds a ``MCPServer`` singleton.
     """
     from condor.runtime.toolsets import canonical_tool_name, seat_tools
 
diff --git a/mcp_servers/_profiles.py b/mcp_servers/_profiles.py
index 8dcc07b5e..e7c9de360 100644
--- a/mcp_servers/_profiles.py
+++ b/mcp_servers/_profiles.py
@@ -11,10 +11,10 @@
 once instead of drifting between two copies.
 
 A leaf module on purpose. It must import neither ``server.py`` (importing one
-parses argv and builds a ``FastMCP`` singleton as a side effect) nor anything
+parses argv and builds a ``MCPServer`` singleton as a side effect) nor anything
 that builds one — ``mcp_servers/hummingbot_api/__init__.py`` lazy-loads ``main``
 precisely so that the tables stay reachable without waking a server. Hence the
-``FastMCP`` annotation below is a type-checking import only.
+``MCPServer`` annotation below is a type-checking import only.
 """
 
 from __future__ import annotations
@@ -24,7 +24,7 @@
 from typing import TYPE_CHECKING, Any
 
 if TYPE_CHECKING:  # pragma: no cover - annotation only, never imported at runtime
-    from mcp.server.fastmcp import FastMCP
+    from mcp.server.mcpserver import MCPServer
 
 
 def parse_profile_flags(default_profile: str) -> tuple[str, tuple[str, ...]]:
@@ -102,7 +102,7 @@ def resolve_profiles(
 
 
 def register_tools(
-    server: FastMCP,
+    server: MCPServer,
     tool_profiles: Mapping[str, tuple],
     profile: str,
     muted: Iterable[str] = (),
diff --git a/mcp_servers/condor/profiles.py b/mcp_servers/condor/profiles.py
index 8eedde938..259efbbcd 100644
--- a/mcp_servers/condor/profiles.py
+++ b/mcp_servers/condor/profiles.py
@@ -2,7 +2,7 @@
 
 A leaf module on purpose: strings and nothing else. ``server.py`` cannot be
 imported to ask what it registers — importing it parses argv and builds a
-``FastMCP`` singleton as an import side effect — so the web process, which has
+``MCPServer`` singleton as an import side effect — so the web process, which has
 to render a switch per tool, reads the tables from here instead.
 
 ``server.py`` resolves every name below in its own module namespace at import
diff --git a/mcp_servers/condor/server.py b/mcp_servers/condor/server.py
index ceae4c3fa..01ddd39d9 100644
--- a/mcp_servers/condor/server.py
+++ b/mcp_servers/condor/server.py
@@ -7,7 +7,7 @@
 from collections.abc import Iterable
 from typing import Any, Literal
 
-from mcp.server.fastmcp import FastMCP
+from mcp.server.mcpserver import MCPServer
 
 from condor.telemetry import taps as telemetry_taps
 from mcp_servers._profiles import make_resolver
@@ -350,7 +350,7 @@ def _build_instructions() -> str:
     return "\n\n".join(sections)
 
 
-mcp = FastMCP("condor", instructions=_build_instructions())
+mcp = MCPServer("condor", instructions=_build_instructions())
 
 
 @handle_errors("delegate task")
@@ -1333,7 +1333,7 @@ async def trading_agent_journal_write(
 # The rings themselves — which tool sits in which one, and why — moved to
 # ``profiles.py`` as plain name strings (FEAT-091), because the web process has
 # to read them to draw a switch per tool and cannot import *this* module to ask:
-# importing it parses argv and builds the ``FastMCP`` singleton. Here the names
+# importing it parses argv and builds the ``MCPServer`` singleton. Here the names
 # are resolved back into functions, at import, which is what keeps the table and
 # the functions provably in step.
 
@@ -1349,7 +1349,7 @@ async def trading_agent_journal_write(
 
 
 def register_tools(
-    server: FastMCP,
+    server: MCPServer,
     profile: str = DEFAULT_TOOL_PROFILE,
     muted: Iterable[str] = (),
 ) -> None:
diff --git a/mcp_servers/hummingbot_api/__init__.py b/mcp_servers/hummingbot_api/__init__.py
index df4c4cc92..a192be6ca 100644
--- a/mcp_servers/hummingbot_api/__init__.py
+++ b/mcp_servers/hummingbot_api/__init__.py
@@ -16,7 +16,7 @@ def __getattr__(name: str):
 
     It used to be a plain ``from .server import main`` up here, which made
     importing *anything* in this package wake the server — and ``server.py``
-    parses argv and builds a ``FastMCP`` singleton at import. ``profiles.py``
+    parses argv and builds a ``MCPServer`` singleton at import. ``profiles.py``
     (FEAT-091) exists so the web process can read the tool tables without any of
     that, and a package-level import of the server would have quietly undone it,
     since importing a submodule imports its package first.
diff --git a/mcp_servers/hummingbot_api/profiles.py b/mcp_servers/hummingbot_api/profiles.py
index b729f3043..63a1aeac2 100644
--- a/mcp_servers/hummingbot_api/profiles.py
+++ b/mcp_servers/hummingbot_api/profiles.py
@@ -2,7 +2,7 @@
 
 A leaf module on purpose: strings and nothing else. ``server.py`` cannot be
 imported to ask what it registers — importing it parses argv and builds a
-``FastMCP`` singleton as an import side effect — so the web process, which has
+``MCPServer`` singleton as an import side effect — so the web process, which has
 to render a switch per tool, reads the tables from here instead.
 
 ``server.py`` resolves every name below in its own module namespace at import
diff --git a/mcp_servers/hummingbot_api/server.py b/mcp_servers/hummingbot_api/server.py
index 740f48984..6a12c7fe9 100644
--- a/mcp_servers/hummingbot_api/server.py
+++ b/mcp_servers/hummingbot_api/server.py
@@ -9,7 +9,7 @@
 from collections.abc import Iterable
 from typing import Any, Literal
 
-from mcp.server.fastmcp import FastMCP
+from mcp.server.mcpserver import MCPServer
 
 from mcp_servers._profiles import make_resolver
 from mcp_servers._profiles import register_tools as _register_tools
@@ -66,8 +66,8 @@
 )
 logger = logging.getLogger("hummingbot-mcp")
 
-# Initialize FastMCP server
-mcp = FastMCP("hummingbot-mcp")
+# Initialize MCPServer server
+mcp = MCPServer("hummingbot-mcp")
 
 
 # Server Management Tools
@@ -2203,7 +2203,7 @@ async def explore_geckoterminal(
 # The rings themselves — which tool sits in which one, and why — moved to
 # ``profiles.py`` as plain name strings (FEAT-091), because the web process has
 # to read them to draw a switch per tool and cannot import *this* module to ask:
-# importing it parses argv and builds the ``FastMCP`` singleton. Here the names
+# importing it parses argv and builds the ``MCPServer`` singleton. Here the names
 # are resolved back into functions, at import, which is what keeps the table and
 # the functions provably in step.
 
@@ -2219,7 +2219,7 @@ async def explore_geckoterminal(
 
 
 def register_tools(
-    server: FastMCP,
+    server: MCPServer,
     profile: str = DEFAULT_TOOL_PROFILE,
     muted: Iterable[str] = (),
 ) -> None:
@@ -2281,7 +2281,7 @@ async def _run():
         "💡 Use 'configure_server' tool to view or update the API server connection"
     )
 
-    # Run the server with FastMCP
+    # Run the server with MCPServer
     # Connection to API will happen lazily on first tool use
     try:
         await mcp.run_stdio_async()
diff --git a/pyproject.toml b/pyproject.toml
index e3577e49a..3c5bdf994 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,14 +20,14 @@ dependencies = [
     # the API container runs (2.2.6), so the two environments stay aligned.
     "pandas-ta>=0.4.71b",
     "geckoterminal-py",
-    "mcp",
+    "mcp>=2.2,<3",
     "fastapi",
     "uvicorn[standard]",
     "python-jose[cryptography]",
     "faster-whisper",
     "matplotlib>=3.10.8",
     "scipy>=1.17.1",
-    "pydantic-ai[mcp]",
+    "pydantic-ai[groq]>=2.52,<3",
     "beautifulsoup4>=4.14.3",
     "markdown>=3.10.2",
     "bleach>=6.4.0",
diff --git a/tests/test_condor_tool_surface.py b/tests/test_condor_tool_surface.py
index fba68ef19..30c7de927 100644
--- a/tests/test_condor_tool_surface.py
+++ b/tests/test_condor_tool_surface.py
@@ -168,7 +168,7 @@ def _manage_routines_calls(text: str) -> list[str]:
 def test_no_committed_playbook_targets_a_routine_by_strategy_id():
     """Routines are per-agent: playbooks must say ``agent=``, never the dead alias.
 
-    FastMCP's argument model has no ``extra="forbid"``, so a stray
+    MCPServer's argument model has no ``extra="forbid"``, so a stray
     ``strategy_id=`` is dropped in silence — the owning agent's own tick still
     resolves via CONDOR_AGENT_SLUG while every other seat gets 'routine not
     found'. Nothing but this guard notices the drift.
@@ -315,7 +315,7 @@ def test_the_agent_builder_skill_calls_only_registered_tools():
     """CORR-306: the routing rule sends every agent-building request here.
 
     A skill naming a dead TOOL fails harder than READ-290's dead *parameter*:
-    FastMCP silently drops an unknown kwarg, but an unknown tool name is an
+    MCPServer silently drops an unknown kwarg, but an unknown tool name is an
     error at the host. The skill was migrated to ``manage_agents`` /
     ``manage_loops`` for create/list/start, while its edit-and-repair
     paragraph still said ``update_agent`` / ``delete_agent`` / ``get_agent`` /
diff --git a/tests/test_delegate_timeout_budget.py b/tests/test_delegate_timeout_budget.py
index 83f23bf61..389bec9c9 100644
--- a/tests/test_delegate_timeout_budget.py
+++ b/tests/test_delegate_timeout_budget.py
@@ -203,7 +203,7 @@ def test_the_declared_tool_lets_a_model_pass_a_budget():
     from mcp_servers.condor import server
 
     tools = {t.name: t for t in asyncio.run(server.mcp.list_tools())}
-    schema = tools["delegate"].inputSchema
+    schema = tools["delegate"].input_schema
 
     assert "timeout_sec" in schema["properties"]
     doc = server.delegate.__doc__ or ""
diff --git a/tests/test_mcp_tool_profiles.py b/tests/test_mcp_tool_profiles.py
index 900d5b88b..51964067a 100644
--- a/tests/test_mcp_tool_profiles.py
+++ b/tests/test_mcp_tool_profiles.py
@@ -11,7 +11,7 @@
 import re
 
 import pytest
-from mcp.server.fastmcp import FastMCP
+from mcp.server.mcpserver import MCPServer
 
 from condor.memory.paths import CHAT_SLUG
 from condor.runtime.toolsets import (
@@ -90,7 +90,7 @@
 
 def _registered(module, profile: str) -> set[str]:
     """The tool names ``profile`` puts on a fresh server."""
-    server = FastMCP("profile-probe")
+    server = MCPServer("profile-probe")
     module.register_tools(server, profile)
     return {tool.name for tool in asyncio.run(server.list_tools())}
 
@@ -294,7 +294,7 @@ def test_the_manage_trading_agent_funnel_is_in_no_profile():
 @pytest.mark.parametrize("module", [hb_server, condor_server])
 def test_an_unknown_profile_raises_rather_than_falling_back_to_full(module):
     with pytest.raises(ValueError, match="Unknown tool profile"):
-        module.register_tools(FastMCP("probe"), "trading")
+        module.register_tools(MCPServer("probe"), "trading")
 
 
 # ── the default: a launch with no flag serves everything ─────────────────────
@@ -303,7 +303,7 @@ def test_an_unknown_profile_raises_rather_than_falling_back_to_full(module):
 @pytest.mark.parametrize("module", [hb_server, condor_server])
 def test_a_launch_with_no_flag_serves_the_full_surface(module):
     """External-host compat: uvx, the checked-in `.mcp.json`, a bare console run."""
-    server = FastMCP("probe")
+    server = MCPServer("probe")
     module.register_tools(server)
     assert {tool.name for tool in asyncio.run(server.list_tools())} == _registered(
         module, "full"
diff --git a/tests/test_pydantic_ai_mcp_lifecycle.py b/tests/test_pydantic_ai_mcp_lifecycle.py
index eff2060aa..8bc52a5ce 100644
--- a/tests/test_pydantic_ai_mcp_lifecycle.py
+++ b/tests/test_pydantic_ai_mcp_lifecycle.py
@@ -155,12 +155,12 @@ async def run():
 
 _SERVER_SCRIPT = """
 import os, sys
-from mcp.server.fastmcp import FastMCP
+from mcp.server.mcpserver import MCPServer
 
 with open(sys.argv[1], "w") as f:
     f.write(str(os.getpid()))
 
-mcp = FastMCP("probe")
+mcp = MCPServer("probe")
 
 @mcp.tool()
 def ping() -> str:
diff --git a/tests/test_tool_mutes.py b/tests/test_tool_mutes.py
index 66023138c..786ae6d88 100644
--- a/tests/test_tool_mutes.py
+++ b/tests/test_tool_mutes.py
@@ -13,7 +13,7 @@
    server, and the registered set per profile is *unchanged* from before the
    tables moved out of ``server.py``;
 2. the subtraction — ``register_tools`` drops exactly the muted name off a bare
-   ``FastMCP`` and leaves every other tool alone;
+   ``MCPServer`` and leaves every other tool alone;
 3. the spawn — ``seat_tools`` describes the seat, no ``--mute-tools`` reaches
    argv when nothing is muted (byte-identical to before this feature), and the
    exact csv reaches both subprocesses when something is;
@@ -24,7 +24,7 @@
 import asyncio
 
 import pytest
-from mcp.server.fastmcp import FastMCP
+from mcp.server.mcpserver import MCPServer
 
 from condor.memory.mutes import load_mutes, set_muted
 from condor.runtime import toolsets
@@ -46,7 +46,7 @@
 
 def _registered(module, profile: str = "full", muted=()) -> set[str]:
     """The tool names ``profile`` puts on a fresh server, minus ``muted``."""
-    server = FastMCP("mute-probe")
+    server = MCPServer("mute-probe")
     module.register_tools(server, profile, muted)
     return {tool.name for tool in asyncio.run(server.list_tools())}
 
@@ -87,7 +87,7 @@ def test_every_mounted_tool_has_a_line_for_the_panel(module, profiles):
 
 def test_the_leaf_modules_do_not_wake_a_server():
     """The web process imports these to draw the switches. Importing a
-    ``server.py`` parses argv and builds a ``FastMCP`` singleton — neither of
+    ``server.py`` parses argv and builds a ``MCPServer`` singleton — neither of
     which a web request has any business doing — so the tables have to be
     reachable without it."""
     import subprocess
@@ -113,7 +113,7 @@ def test_the_leaf_modules_do_not_wake_a_server():
 
 def test_the_shared_profile_helpers_are_a_leaf_too():
     """ARCH-289 moved the mechanics both servers share into
-    ``mcp_servers/_profiles.py``. It annotates ``FastMCP`` but must not import
+    ``mcp_servers/_profiles.py``. It annotates ``MCPServer`` but must not import
     it, and must never reach for a ``server`` module: anything it drags in, both
     servers drag in at import, and the leafness of the name tables above is only
     worth as much as the module they are resolved by."""
@@ -172,7 +172,7 @@ def test_a_mute_for_a_tool_this_seat_never_mounts_is_a_no_op(module, profiles):
 @pytest.mark.parametrize("module,profiles", MODULES)
 def test_muting_still_refuses_an_unknown_profile(module, profiles):
     with pytest.raises(ValueError, match="Unknown tool profile"):
-        module.register_tools(FastMCP("probe"), "trading", ["delegate"])
+        module.register_tools(MCPServer("probe"), "trading", ["delegate"])
 
 
 def test_muting_cannot_widen_a_seat():
diff --git a/uv.lock b/uv.lock
index e41d6e639..e67b6ac08 100644
--- a/uv.lock
+++ b/uv.lock
@@ -13,18 +13,6 @@ resolution-markers = [
     "python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 
-[[package]]
-name = "ag-ui-protocol"
-version = "0.1.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "pydantic" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/57/71/96c21ae7e2fb9b610c1a90d38bd2de8b6e5b2900a63001f3882f43e519af/ag_ui_protocol-0.1.15.tar.gz", hash = "sha256:5e23c1042c7d4e364d685e68d2fb74d37c16bc83c66d270102d8eaedce56ad82", size = 6269, upload-time = "2026-04-01T15:44:33.136Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e4/a0/a73398d30bb0f9ad70cd70426151a4a19527a7296e48a3a16a50e1d5db05/ag_ui_protocol-0.1.15-py3-none-any.whl", hash = "sha256:85cde077023ccbc37b5ce2ad953537883c262d210320f201fc2ec4e85408b06a", size = 8661, upload-time = "2026-04-01T15:44:32.079Z" },
-]
-
 [[package]]
 name = "aiofile"
 version = "3.9.0"
@@ -164,21 +152,20 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.93.0"
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 ]
 
-[[package]]
-name = "uncalled-for"
-version = "0.3.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e1/68/35c1d87e608940badbcfeb630347aa0509897284684f61fab6423d02b253/uncalled_for-0.3.1.tar.gz", hash = "sha256:5e412ac6708f04b56bef5867b5dcf6690ebce4eb7316058d9c50787492bb4bca", size = 49693, upload-time = "2026-04-07T13:05:06.462Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/11/e1/7ec67882ad8fc9f86384bef6421fa252c9cbe5744f8df6ce77afc9eca1f5/uncalled_for-0.3.1-py3-none-any.whl", hash = "sha256:074cdc92da8356278f93d0ded6f2a66dd883dbecaf9bc89437646ee2289cc200", size = 11361, upload-time = "2026-04-07T13:05:05.341Z" },
-]
-
 [[package]]
 name = "urllib3"
 version = "2.6.3"
@@ -4554,25 +4252,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/1f/f6/a933bd70f98e9cf3e08167fc5cd7aaaca49147e48411c0bd5ae701bb2194/wrapt-1.17.3-py3-none-any.whl", hash = "sha256:7171ae35d2c33d326ac19dd8facb1e82e5fd04ef8c6c0e394d7af55a55051c22", size = 23591, upload-time = "2025-08-12T05:53:20.674Z" },
 ]
 
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-name = "xai-sdk"
-version = "1.11.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "aiohttp" },
-    { name = "googleapis-common-protos" },
-    { name = "grpcio" },
-    { name = "opentelemetry-sdk" },
-    { name = "packaging" },
-    { name = "protobuf" },
-    { name = "pydantic" },
-    { name = "requests" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/49/32/bb8385f7a3b05ce406b689aa000c9a34289caa1526f1c093a1cefc0d9695/xai_sdk-1.11.0.tar.gz", hash = "sha256:ca87a830d310fb8e06fba44fb2a8c5cdf0d9f716b61126eddd51b7f416a63932", size = 404313, upload-time = "2026-03-27T18:23:10.091Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/04/76/86d9a3589c725ce825d2ed3e7cb3ecf7f956d3fd015353d52197bb341bcd/xai_sdk-1.11.0-py3-none-any.whl", hash = "sha256:fe58ce6d8f8115ae8bd57ded57bcd847d0bb7cb28bb7b236abefd4626df1ed8d", size = 251388, upload-time = "2026-03-27T18:23:08.573Z" },
-]
-
 [[package]]
 name = "yarl"
 version = "1.23.0"
@@ -4700,12 +4379,3 @@ sdist = { url = "https://files.pythonhosted.org/packages/51/94/fefb0afc174ac1ce4
 wheels = [
     { url = "https://files.pythonhosted.org/packages/5f/12/7efaf78fcf63711ad7271704dd22963b4cbe05d95d89b9865a1c5c0bad6f/yfinance-1.7.0-py3-none-any.whl", hash = "sha256:91281ecd1f71069a37155ff8653aff2d3085f3492bd8721f18b70955da62911a", size = 149341, upload-time = "2026-08-26T17:25:06.726Z" },
 ]
-
-[[package]]
-name = "zipp"
-version = "3.23.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
-]

From 85cc2e3d958b70eff8808f4171cb9b3cd3fc4345 Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 18:44:25 +0700
Subject: [PATCH 3/6] test(mcp): the v2 tool surface matches the frozen v1 one

Names, descriptions, input schemas and output schemas of both servers are
identical to the mcp 1.26 dump; nothing had to be re-baselined.
---
 tests/test_mcp_tool_schema_parity.py | 89 ++++++++++++++++++++++++++++
 1 file changed, 89 insertions(+)
 create mode 100644 tests/test_mcp_tool_schema_parity.py

diff --git a/tests/test_mcp_tool_schema_parity.py b/tests/test_mcp_tool_schema_parity.py
new file mode 100644
index 000000000..ba5e50942
--- /dev/null
+++ b/tests/test_mcp_tool_schema_parity.py
@@ -0,0 +1,89 @@
+"""The tool surface both MCP servers advertise, pinned across the SDK major (FEAT-130).
+
+``tests/fixtures/mcp_tool_surface_v1.json`` was dumped on ``mcp`` 1.26, the last
+lock before the move to 2.x. A model picks and fills a tool from exactly three
+things — its name, its description and its input schema — so a migration that
+"changes nothing" must leave those byte-identical, and this is where a drift
+nobody asserted on would otherwise go unnoticed.
+
+Server ``instructions`` are not in the fixture: the condor server assembles them
+from the skills and agents on disk, so a frozen copy would pin the machine it was
+dumped on. What the SDK could break is the hand-off, and that is asserted here.
+"""
+
+import asyncio
+import json
+from pathlib import Path
+
+import pytest
+
+from mcp_servers.condor import server as condor_server
+from mcp_servers.hummingbot_api import server as hb_server
+
+FIXTURE = Path(__file__).parent / "fixtures" / "mcp_tool_surface_v1.json"
+SERVERS = {"condor": condor_server, "hummingbot_api": hb_server}
+FIELDS = ("name", "description", "inputSchema", "outputSchema")
+
+
+def live_surface(module) -> dict[str, dict]:
+    """``tool name → the fields a client reads``, under the ``full`` profile.
+
+    A fresh server rather than the module's singleton: that one mounts whatever
+    profile argv resolved to, which under pytest is the default ring.
+    """
+    server = type(module.mcp)("surface-probe")
+    module.register_tools(server, "full")
+    tools = asyncio.run(server.list_tools())
+    dumped = (tool.model_dump(by_alias=True) for tool in tools)
+    return {d["name"]: {f: d.get(f) for f in FIELDS} for d in dumped}
+
+
+def dump_fixture() -> None:
+    """Rewrite the fixture from the live surface (run by hand, never by a test)."""
+    surface = {key: live_surface(module) for key, module in SERVERS.items()}
+    FIXTURE.parent.mkdir(exist_ok=True)
+    FIXTURE.write_text(json.dumps(surface, indent=2, sort_keys=True) + "\n")
+
+
+@pytest.fixture(scope="module")
+def frozen() -> dict:
+    return json.loads(FIXTURE.read_text())
+
+
+@pytest.mark.parametrize("key", sorted(SERVERS))
+def test_the_same_tools_are_advertised(key, frozen):
+    assert set(live_surface(SERVERS[key])) == set(frozen[key])
+
+
+@pytest.mark.parametrize("key", sorted(SERVERS))
+@pytest.mark.parametrize("field", ["description", "inputSchema"])
+def test_what_a_model_reads_is_unchanged(key, field, frozen):
+    live = live_surface(SERVERS[key])
+    drifted = {
+        name: (frozen[key][name][field], tool[field])
+        for name, tool in live.items()
+        if tool[field] != frozen[key][name][field]
+    }
+    assert not drifted
+
+
+@pytest.mark.parametrize("key", sorted(SERVERS))
+def test_output_schemas_are_unchanged(key, frozen):
+    live = live_surface(SERVERS[key])
+    drifted = {
+        name: (frozen[key][name]["outputSchema"], tool["outputSchema"])
+        for name, tool in live.items()
+        if tool["outputSchema"] != frozen[key][name]["outputSchema"]
+    }
+    assert not drifted
+
+
+def test_instructions_are_handed_to_the_sdk_unchanged():
+    """The server object carries the text built at import, not a rebuilt one.
+
+    Compared against the seat's framing rather than a second
+    ``_build_instructions()`` call: the indexes below it are read from disk, and
+    a test session's disk is not the one the module was imported on.
+    """
+    assert condor_server.mcp.instructions.startswith(condor_server._chat_base())
+    assert hb_server.mcp.instructions is None

From 11bbfdd4bad37b1c50548e2083dc9cbef122ad4c Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 18:45:23 +0700
Subject: [PATCH 4/6] fix(mcp): a failing tool still tells the model why

MCP SDK 2.x reports any exception that is not its own ToolError as a bare
'Error executing tool <name>', dropping the message agents act on. Wrap every
tool at the one registration seam both servers share and re-raise as the SDK's
ToolError, which restores v1's 'Error executing tool <name>: <message>' for
every exception type. A sync tool is refused at registration: the SDK would
run it on a worker thread and the wrapper awaits what it wraps.
---
 mcp_servers/_profiles.py             |  36 ++++++++-
 tests/test_mcp_tool_error_surface.py | 105 +++++++++++++++++++++++++++
 2 files changed, 139 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_mcp_tool_error_surface.py

diff --git a/mcp_servers/_profiles.py b/mcp_servers/_profiles.py
index e7c9de360..e230f4f96 100644
--- a/mcp_servers/_profiles.py
+++ b/mcp_servers/_profiles.py
@@ -14,12 +14,16 @@
 parses argv and builds a ``MCPServer`` singleton as a side effect) nor anything
 that builds one — ``mcp_servers/hummingbot_api/__init__.py`` lazy-loads ``main``
 precisely so that the tables stay reachable without waking a server. Hence the
-``MCPServer`` annotation below is a type-checking import only.
+``MCPServer`` annotation below is a type-checking import only, and the one SDK
+import this module needs at runtime is deferred to registration, by which point
+the caller is a server.
 """
 
 from __future__ import annotations
 
 import argparse
+import functools
+import inspect
 from collections.abc import Callable, Iterable, Mapping
 from typing import TYPE_CHECKING, Any
 
@@ -101,6 +105,27 @@ def resolve_profiles(
     }
 
 
+def _surface_errors(fn):
+    """Keep a tool's exception message in the result the model reads.
+
+    MCP SDK >= 2.1 reports any non-SDK exception as a bare
+    ``Error executing tool <name>``. Agents act on the message, so re-raise
+    as the SDK's ToolError, which is passed through verbatim.
+    """
+    from mcp.server.mcpserver.exceptions import ToolError
+
+    @functools.wraps(fn)
+    async def wrapper(*args, **kwargs):
+        try:
+            return await fn(*args, **kwargs)
+        except ToolError:
+            raise
+        except Exception as exc:
+            raise ToolError(str(exc)) from exc
+
+    return wrapper
+
+
 def register_tools(
     server: MCPServer,
     tool_profiles: Mapping[str, tuple],
@@ -119,6 +144,11 @@ def register_tools(
     and a name this profile never mounts is ignored rather than refused: seats
     mount different rings, so "off here, never mounted there" is an ordinary
     difference between seats and not a mistake to report.
+
+    Every tool must be a coroutine function. The SDK runs a sync ``def`` on a
+    worker thread with no running loop, and ``_surface_errors`` awaits what it
+    wraps — so a sync tool is refused here, at startup, rather than discovered
+    on its first call.
     """
     try:
         tools = tool_profiles[profile]
@@ -129,6 +159,8 @@ def register_tools(
         ) from None
     switched_off = set(muted)
     for fn in tools:
+        if not inspect.iscoroutinefunction(fn):
+            raise TypeError(f"MCP tool {fn.__name__!r} must be an async function")
         if fn.__name__ in switched_off:
             continue
-        server.tool()(fn)
+        server.tool()(_surface_errors(fn))
diff --git a/tests/test_mcp_tool_error_surface.py b/tests/test_mcp_tool_error_surface.py
new file mode 100644
index 000000000..7a702bac6
--- /dev/null
+++ b/tests/test_mcp_tool_error_surface.py
@@ -0,0 +1,105 @@
+"""A failing tool still tells the model why (FEAT-130).
+
+MCP SDK 2.x reports any exception that is not its own ``ToolError`` as a bare
+``Error executing tool <name>``. Agents read that text and act on it — retry
+with another connector, a smaller size, a different pool — so the message is
+part of the tool's contract. ``register_tools`` restores it for every exception
+type at the one seam both servers register through.
+"""
+
+import asyncio
+
+import mcp
+import pytest
+from mcp.server.mcpserver import MCPServer
+
+from mcp_servers import _profiles
+from mcp_servers.condor import exceptions as condor_exceptions
+from mcp_servers.condor import server as condor_server
+from mcp_servers.hummingbot_api import exceptions as hb_exceptions
+from mcp_servers.hummingbot_api import server as hb_server
+
+SERVERS = [
+    pytest.param(condor_server, condor_exceptions.ToolError, id="condor"),
+    pytest.param(hb_server, hb_exceptions.ToolError, id="hummingbot_api"),
+]
+
+
+def _call(server: MCPServer, name: str, arguments: dict | None = None):
+    async def run():
+        async with mcp.Client(server) as client:
+            return await client.call_tool(name, arguments or {})
+
+    return asyncio.run(run())
+
+
+def _text(result) -> str:
+    return "".join(block.text for block in result.content)
+
+
+@pytest.mark.parametrize("module,own_tool_error", SERVERS)
+@pytest.mark.parametrize("kind", ["own", "value", "bare"])
+def test_the_message_reaches_the_client(module, own_tool_error, kind, monkeypatch):
+    """Through the server's own ``register_tools``, with one tool made to fail."""
+    raised = {"own": own_tool_error, "value": ValueError, "bare": Exception}[kind]
+    victim = module.TOOL_PROFILES["full"][0]
+
+    async def failing():
+        raise raised("unknown connector 'binanse'")
+
+    failing.__name__ = victim.__name__
+    monkeypatch.setitem(
+        module.TOOL_PROFILES,
+        "full",
+        (failing, *module.TOOL_PROFILES["full"][1:]),
+    )
+    server = MCPServer("error-probe")
+    module.register_tools(server, "full")
+
+    result = _call(server, victim.__name__)
+
+    assert result.is_error
+    assert _text(result) == (
+        f"Error executing tool {victim.__name__}: unknown connector 'binanse'"
+    )
+
+
+def test_a_bad_argument_still_says_which_one():
+    """Argument validation happens before the wrapper and keeps its own text."""
+
+    async def sized(amount: int) -> str:
+        return str(amount)
+
+    server = MCPServer("error-probe")
+    _profiles.register_tools(server, {"full": (sized,)}, "full")
+
+    result = _call(server, "sized", {"amount": "lots"})
+
+    assert result.is_error
+    assert "amount" in _text(result)
+
+
+def test_a_result_is_untouched():
+    async def fine() -> str:
+        return "pong"
+
+    server = MCPServer("error-probe")
+    _profiles.register_tools(server, {"full": (fine,)}, "full")
+
+    result = _call(server, "fine")
+
+    assert not result.is_error
+    assert _text(result) == "pong"
+
+
+@pytest.mark.parametrize("muted", [(), ("blocking",)])
+def test_a_sync_tool_is_refused_at_registration(muted):
+    """It would run on a worker thread with no loop — fail at startup instead."""
+
+    def blocking() -> str:
+        return "pong"
+
+    with pytest.raises(TypeError, match="blocking"):
+        _profiles.register_tools(
+            MCPServer("error-probe"), {"full": (blocking,)}, "full", muted
+        )

From 7b957fa85b84a7a535b19292e044a1dcd287c6da Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 18:50:37 +0700
Subject: [PATCH 5/6] feat(agents): port the pydantic-ai client to the 2.x MCP
 toolset
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

MCPServerStdio -> MCPToolset(StdioTransport), prepare_tools= -> the
PrepareTools capability, run_mcp_servers() -> async with agent, and
run.usage is a property now.

Two behaviours 2.x changed underneath the client are restored where each
already lived:

- A stdio server outlives the agent's context by default; keep_alive=False
  so a stopped session leaves no subprocess behind.
- The closed-stream attributes are gone and the toolset reports itself
  connected after a SIGKILL, so liveness is a ping. What counts is who
  answers: a dead transport fails it locally with CONNECTION_CLOSED, while
  a live mcp 2.x server answers 'Method not found' — any reply from the far
  side is proof of life, and a timeout means busy.

The End-node text branch read an attribute pydantic-ai no longer has and
was a no-op; the final text reaches the user through CallToolsNode.
---
 condor/acp/pydantic_ai_client.py             |  99 ++++++++++------
 tests/runtime/test_acp_handshake_deadline.py |   8 +-
 tests/test_agent_identity.py                 |   8 +-
 tests/test_pydantic_ai_mcp_lifecycle.py      | 116 ++++++++++++++++---
 tests/test_pydantic_ai_native_providers.py   |  38 ++++++
 5 files changed, 210 insertions(+), 59 deletions(-)
 create mode 100644 tests/test_pydantic_ai_native_providers.py

diff --git a/condor/acp/pydantic_ai_client.py b/condor/acp/pydantic_ai_client.py
index 1e5c5e459..0593102df 100644
--- a/condor/acp/pydantic_ai_client.py
+++ b/condor/acp/pydantic_ai_client.py
@@ -33,6 +33,10 @@
 
 log = logging.getLogger(__name__)
 
+# pydantic-ai 2.x prints an ASCII banner on stderr once per process. Every
+# pydantic-ai import in this module is deferred, so this runs ahead of them all.
+os.environ.setdefault("PYDANTIC_AI_NO_BANNER", "1")
+
 
 # Model prefix → pydantic-ai model string mapping
 # Users set agent_key like "ollama:llama3.1:70b" or "openai:gpt-4o"
@@ -65,9 +69,13 @@
 
 # How often the MCP lifecycle task checks its stdio transports for a dead
 # server between shutdown checks (CORR-332). A killed subprocess never raises
-# out of ``run_mcp_servers()``; it only closes the session's streams.
+# out of the agent's context; it only closes the session's streams.
 MCP_TRANSPORT_POLL_SECONDS = 2.0
 
+# How long one liveness ping may take before the server is assumed to be busy
+# rather than gone. A dead transport answers at once, with an error.
+MCP_PING_TIMEOUT_SECONDS = 5.0
+
 
 def _get_server_semaphore(base_url: str) -> asyncio.Semaphore:
     if base_url not in _SERVER_SEMAPHORES:
@@ -359,20 +367,42 @@ async def call_tool(
     return _GATED_TOOLSET_CLS
 
 
-def _dead_transport(servers: list[Any]) -> str | None:
-    """Label of the first MCP server whose session streams are closed, if any.
+def _server_label(server: Any) -> str:
+    """The command an MCP toolset spawned, for a log line a human can act on."""
+    transport = getattr(getattr(server, "client", None), "transport", None)
+    return getattr(transport, "command", None) or repr(server)
+
+
+async def _dead_transport(servers: list[Any]) -> str | None:
+    """Label of the first MCP server whose transport is closed, if any.
+
+    When an MCP subprocess dies nothing raises until the next request, and the
+    toolset goes on reporting itself running and connected — so the only honest
+    signal is to send one (CORR-332). The request is a ``ping``, and what counts
+    is *who* answers it: a dead transport fails it locally with
+    ``CONNECTION_CLOSED``, while a live server answers — with a result, or with
+    a JSON-RPC error of its own (an MCP SDK 2.x server has no ``ping`` method
+    and says so). Any answer from the far side is proof of life.
 
-    When an MCP subprocess dies, the stdio reader hits EOF and the MCP
-    session's receive loop closes both of its streams. Nothing raises until
-    the next request (``anyio.ClosedResourceError``), so a closed stream is
-    the only signal there is (CORR-332). ``_closed`` is anyio's memory-stream
-    flag; a server that has not opened its streams reads as healthy.
+    A *timeout* is read as healthy on purpose: a server busy inside a slow tool
+    must not be torn down. A server that has not opened its client reads as
+    healthy too.
     """
+    from mcp.types import CONNECTION_CLOSED
+
     for server in servers:
-        for attr in ("_read_stream", "_write_stream"):
-            stream = getattr(server, attr, None)
-            if stream is not None and getattr(stream, "_closed", False):
-                return getattr(server, "command", None) or repr(server)
+        client = getattr(server, "client", None)
+        if client is None:
+            continue
+        try:
+            await asyncio.wait_for(client.ping(), MCP_PING_TIMEOUT_SECONDS)
+        except asyncio.TimeoutError:
+            continue  # busy, not dead
+        except Exception as exc:
+            code = getattr(exc, "code", None)
+            if code is not None and code != CONNECTION_CLOSED:
+                continue  # the server answered, if only to refuse
+            return _server_label(server)
     return None
 
 
@@ -381,7 +411,7 @@ class PydanticAIClient:
 
     Mirrors ACPClient's interface: start() → prompt_stream() → stop().
     MCP servers are launched as stdio subprocesses, same as ACP does,
-    but tools are consumed via pydantic-ai's MCPServerStdio integration.
+    but tools are consumed via pydantic-ai's MCPToolset integration.
 
     Model resolution:
       - "ollama:llama3.1"  → uses ollama provider (localhost:11434)
@@ -689,12 +719,13 @@ async def _fetch_ollama_native_model(self, base_url: str) -> str | None:
     async def start(self) -> None:
         """Initialize MCP servers and create the pydantic-ai agent."""
         from pydantic_ai import Agent
-        from pydantic_ai.mcp import MCPServerStdio
+        from pydantic_ai.capabilities import PrepareTools
+        from pydantic_ai.mcp import MCPToolset, StdioTransport
 
         toolsets = []
         for srv_config in self.mcp_server_configs:
             command = srv_config["command"]
-            # StdioServerParameters requires list[str]; YAML/config may yield ints
+            # StdioTransport requires list[str]; YAML/config may yield ints
             # (e.g. numeric hummingbot passwords) that only surface with pydantic-ai
             # backends (lmstudio:/ollama:/openrouter:), not ACP agents.
             args = [str(a) for a in srv_config.get("args", [])]
@@ -709,11 +740,12 @@ async def start(self) -> None:
                 if isinstance(env_entry, dict):
                     env[str(env_entry["name"])] = str(env_entry["value"])
 
-            mcp_server = MCPServerStdio(
-                command,
-                args=args,
-                env=env,
-                timeout=30,
+            mcp_server = MCPToolset(
+                # keep_alive=False: with the default the subprocess outlives
+                # the agent's context, and every stopped session would leak one
+                # Python process per server.
+                StdioTransport(command, args, env=env, keep_alive=False),
+                init_timeout=30,
                 # pydantic-ai drops a server's ``instructions`` by default; the
                 # ACP host forwards them, so ask for them here too or the condor
                 # server's routing rules never reach a pydantic-ai model.
@@ -724,12 +756,14 @@ async def start(self) -> None:
             self._mcp_servers.append(mcp_server)
 
         model = await self._build_model()
-        prepare = self._prepare_tools if self.allowed_tools else None
+        capabilities = (
+            [PrepareTools(self._prepare_tools)] if self.allowed_tools else None
+        )
         self._agent = Agent(
             model,
             instructions=self.system_prompt or None,
             toolsets=self._gate_toolsets(toolsets),
-            prepare_tools=prepare,
+            capabilities=capabilities,
         )
 
         # Resolve the global semaphore for this server's base URL so all client
@@ -848,7 +882,7 @@ async def _run_mcp_lifecycle(self) -> None:
         """
         servers = list(self._mcp_servers)
         try:
-            async with self._agent.run_mcp_servers():
+            async with self._agent:
                 self._ready_event.set()
                 while not self._shutdown_event.is_set():
                     with contextlib.suppress(asyncio.TimeoutError):
@@ -856,7 +890,7 @@ async def _run_mcp_lifecycle(self) -> None:
                             self._shutdown_event.wait(),
                             timeout=MCP_TRANSPORT_POLL_SECONDS,
                         )
-                    dead = _dead_transport(servers)
+                    dead = await _dead_transport(servers)
                     if dead is not None and not self._shutdown_event.is_set():
                         raise ConnectionError(f"MCP server transport closed: {dead}")
         except asyncio.CancelledError as exc:
@@ -884,14 +918,14 @@ async def _run_mcp_lifecycle(self) -> None:
                 self._lifecycle_error = exc
             self._teardown_after_lifecycle_failure()
 
-    def _mark_dead_if_transport_closed(self, exc: BaseException) -> None:
+    async def _mark_dead_if_transport_closed(self, exc: BaseException) -> None:
         """A turn failed: if an MCP transport is gone, the client is dead.
 
         The prompt usually meets a killed subprocess before the lifecycle
         task's next poll does, so don't leave ``alive`` True in between. The
         lifecycle task still exits on its next poll and closes the servers.
         """
-        dead = _dead_transport(self._mcp_servers)
+        dead = await _dead_transport(list(self._mcp_servers))
         if dead is None or self._lifecycle_error is not None:
             return
         log.error(
@@ -1027,7 +1061,7 @@ async def prompt_stream(
         Uses pydantic-ai's streaming run with MCP tools.
         Tool calls go through the permission callback for risk checking.
         MCP servers are already running (started in start()), so we
-        call iter() directly without run_mcp_servers().
+        call iter() directly without entering the agent again.
 
         ``images`` become ``BinaryContent`` parts ahead of the text, the same
         order the ACP path uses. Forwarded optimistically: unlike ACP there is
@@ -1071,11 +1105,8 @@ async def prompt_stream(
                             break
 
                         if isinstance(node, End):
-                            # Final result -- extract text from the result
-                            if hasattr(node, "data") and node.data:
-                                result_data = node.data
-                                if hasattr(result_data, "data"):
-                                    yield TextChunk(text=str(result_data.data))
+                            # Nothing to project: the final text already went
+                            # out as the last CallToolsNode's TextPart.
                             break
 
                         if isinstance(node, ModelRequestNode):
@@ -1104,7 +1135,7 @@ async def prompt_stream(
                 yield PromptDone(stop_reason="timeout")
             except Exception as e:
                 log.exception("PydanticAI prompt error: %s", e)
-                self._mark_dead_if_transport_closed(e)
+                await self._mark_dead_if_transport_closed(e)
                 yield TextChunk(text=self._format_error(e))
                 yield PromptDone(stop_reason="error")
 
@@ -1141,7 +1172,7 @@ def _fold_usage(self, run: Any) -> None:
         try:
             from pydantic_ai.messages import ModelResponse
 
-            ru = run.usage()
+            ru = run.usage
             new_messages = (
                 run.result.new_messages()
                 if run.result is not None
diff --git a/tests/runtime/test_acp_handshake_deadline.py b/tests/runtime/test_acp_handshake_deadline.py
index 18031d502..0e15bf489 100644
--- a/tests/runtime/test_acp_handshake_deadline.py
+++ b/tests/runtime/test_acp_handshake_deadline.py
@@ -80,13 +80,11 @@ async def scenario():
 class _NeverReadyAgent:
     """A pydantic-ai agent whose MCP servers never finish coming up."""
 
-    @contextlib.asynccontextmanager
-    async def _ctx(self):
+    async def __aenter__(self):
         await asyncio.Event().wait()  # never entered
-        yield  # pragma: no cover
 
-    def run_mcp_servers(self):
-        return self._ctx()
+    async def __aexit__(self, *exc_info):  # pragma: no cover
+        return None
 
 
 def test_pydantic_ai_start_gives_up_on_mcp_servers_that_never_come_up(monkeypatch):
diff --git a/tests/test_agent_identity.py b/tests/test_agent_identity.py
index da84d75e3..080333064 100644
--- a/tests/test_agent_identity.py
+++ b/tests/test_agent_identity.py
@@ -261,18 +261,18 @@ class _Stop(Exception):
 
     seen: dict = {}
 
-    def _record(command, **kwargs):
+    def _record(transport, **kwargs):
         seen.update(kwargs)
         raise _Stop  # abort start() before anything is spawned
 
-    original = mcp_module.MCPServerStdio
-    mcp_module.MCPServerStdio = _record
+    original = mcp_module.MCPToolset
+    mcp_module.MCPToolset = _record
     try:
         client = _make_client(mcp_servers=[{"command": "condor-mcp", "args": []}])
         with pytest.raises(_Stop):
             asyncio.run(client.start())
     finally:
-        mcp_module.MCPServerStdio = original
+        mcp_module.MCPToolset = original
 
     assert seen["include_instructions"] is True
 
diff --git a/tests/test_pydantic_ai_mcp_lifecycle.py b/tests/test_pydantic_ai_mcp_lifecycle.py
index 8bc52a5ce..fcd8a1b16 100644
--- a/tests/test_pydantic_ai_mcp_lifecycle.py
+++ b/tests/test_pydantic_ai_mcp_lifecycle.py
@@ -2,7 +2,7 @@
 
 ``_run_mcp_lifecycle`` used to record an exception only when it fired *before*
 the ready event. If an MCP stdio server died later — subprocess crash, host
-restart, tool server OOM — ``run_mcp_servers()`` raised on exit, the exception
+restart, tool server OOM — the agent's context raised on exit, the exception
 was discarded with nothing logged, and ``self._agent`` stayed set. ``alive``
 therefore kept reporting True and the session layer kept handing prompts to an
 agent that had no tools left.
@@ -26,17 +26,15 @@ def __init__(self, fail: BaseException | None = None, on_enter: bool = False):
         self._on_enter = on_enter
         self.entered = False
 
-    def run_mcp_servers(self):
-        @contextlib.asynccontextmanager
-        async def _ctx():
-            if self._fail is not None and self._on_enter:
-                raise self._fail
-            self.entered = True
-            yield
-            if self._fail is not None:
-                raise self._fail
+    async def __aenter__(self):
+        if self._fail is not None and self._on_enter:
+            raise self._fail
+        self.entered = True
+        return self
 
-        return _ctx()
+    async def __aexit__(self, *exc_info):
+        if self._fail is not None:
+            raise self._fail
 
 
 def _client(agent: _FakeAgent) -> PydanticAIClient:
@@ -147,7 +145,7 @@ async def run():
 
 # --- A really killed MCP subprocess (PR #240 retest) --------------------------
 #
-# Everything above drives ``run_mcp_servers()`` *raising*. A SIGKILLed stdio
+# Everything above drives the agent's context *raising*. A SIGKILLed stdio
 # server never does: the MCP session's receive loop just closes its streams, the
 # lifecycle task stayed parked on ``_shutdown_event`` and ``alive`` stayed True
 # while every tool call failed with ``ClosedResourceError``. These use a real
@@ -160,10 +158,10 @@ async def run():
 with open(sys.argv[1], "w") as f:
     f.write(str(os.getpid()))
 
-mcp = MCPServer("probe")
+mcp = MCPServer("probe", instructions="PROBE RULES")
 
 @mcp.tool()
-def ping() -> str:
+async def ping() -> str:
     return "pong"
 
 mcp.run()
@@ -184,7 +182,9 @@ def respond(messages, info):
     return FunctionModel(respond)
 
 
-async def _started_client(tmp_path, monkeypatch) -> tuple[PydanticAIClient, int]:
+async def _started_client(
+    tmp_path, monkeypatch, model=None, **kwargs
+) -> tuple[PydanticAIClient, int]:
     import sys
 
     script = tmp_path / "probe_server.py"
@@ -193,10 +193,11 @@ async def _started_client(tmp_path, monkeypatch) -> tuple[PydanticAIClient, int]
     client = PydanticAIClient(
         model="ollama:llama3.1",
         mcp_servers=[{"command": sys.executable, "args": [str(script), str(pid_file)]}],
+        **kwargs,
     )
 
     async def _model(self):
-        return _tool_calling_model()
+        return model or _tool_calling_model()
 
     monkeypatch.setattr(PydanticAIClient, "_build_model", _model)
     await client.start()
@@ -207,6 +208,16 @@ async def _model(self):
     return client, int(pid_file.read_text())
 
 
+def _running(pid: int) -> bool:
+    import os
+
+    try:
+        os.kill(pid, 0)
+    except ProcessLookupError:
+        return False
+    return True
+
+
 async def _kill(pid: int) -> None:
     import os
     import signal
@@ -280,3 +291,76 @@ async def run():
         assert client._lifecycle_error is None
 
     asyncio.run(run())
+
+
+# --- What the v2 client layer must still do (FEAT-130) ------------------------
+
+
+def test_stop_leaves_no_subprocess_behind(tmp_path, monkeypatch):
+    """pydantic-ai 2.x keeps a stdio server alive past the agent's context
+    unless told not to; a stopped session must not leak its tool servers."""
+
+    async def run():
+        client, pid = await _started_client(tmp_path, monkeypatch)
+        assert _running(pid)
+        await client.stop()
+        for _ in range(40):
+            if not _running(pid):
+                break
+            await asyncio.sleep(0.05)
+        # Checked while the loop is still up: closing the loop reaps the
+        # subprocess either way, and a session's loop is the bot's, which
+        # never closes.
+        assert not _running(pid), "the MCP subprocess outlived stop()"
+
+    asyncio.run(run())
+
+
+def _recording_model(seen: dict):
+    from pydantic_ai.messages import ModelResponse, TextPart
+    from pydantic_ai.models.function import FunctionModel
+
+    def respond(messages, info):
+        seen["tools"] = {tool.name for tool in info.function_tools}
+        seen["instructions"] = info.instructions
+        return ModelResponse(parts=[TextPart("ok")])
+
+    return FunctionModel(respond)
+
+
+def test_the_model_is_offered_the_tools_and_the_servers_instructions(
+    tmp_path, monkeypatch
+):
+    seen: dict = {}
+
+    async def run():
+        client, _ = await _started_client(tmp_path, monkeypatch, _recording_model(seen))
+        try:
+            await client.prompt("go")
+        finally:
+            await client.stop()
+
+    asyncio.run(run())
+
+    assert seen["tools"] == {"ping"}
+    assert "PROBE RULES" in seen["instructions"]
+
+
+def test_an_allowlist_hides_every_other_tool(tmp_path, monkeypatch):
+    seen: dict = {}
+
+    async def run():
+        client, _ = await _started_client(
+            tmp_path,
+            monkeypatch,
+            _recording_model(seen),
+            allowed_tools=["manage_skill"],
+        )
+        try:
+            await client.prompt("go")
+        finally:
+            await client.stop()
+
+    asyncio.run(run())
+
+    assert seen["tools"] == set()
diff --git a/tests/test_pydantic_ai_native_providers.py b/tests/test_pydantic_ai_native_providers.py
new file mode 100644
index 000000000..bc97dda55
--- /dev/null
+++ b/tests/test_pydantic_ai_native_providers.py
@@ -0,0 +1,38 @@
+"""Every natively resolved provider prefix still builds a model (FEAT-130).
+
+pydantic-ai 2.x narrowed the meta package's default extras: a prefix Condor
+offers but whose SDK is not installed fails only when a user picks it, as an
+``ImportError`` deep inside ``start()``. Building the model needs no network —
+just the provider's package and a key in the environment.
+"""
+
+import asyncio
+
+import pytest
+
+from condor.acp.pydantic_ai_client import PydanticAIClient
+
+NATIVE = [
+    ("openai:gpt-4o", "OPENAI_API_KEY"),
+    ("groq:llama-3.3-70b-versatile", "GROQ_API_KEY"),
+    ("anthropic:claude-sonnet-4-5", "ANTHROPIC_API_KEY"),
+    ("google:gemini-2.5-flash", "GOOGLE_API_KEY"),
+]
+
+
+@pytest.mark.parametrize("agent_key,env_var", NATIVE)
+def test_a_native_provider_key_builds_a_model(agent_key, env_var, monkeypatch):
+    monkeypatch.setenv(env_var, "test-key")
+
+    model = asyncio.run(PydanticAIClient(agent_key)._build_model())
+
+    assert model.model_name == agent_key.partition(":")[2]
+
+
+def test_an_openai_compatible_backend_builds_the_null_safe_chat_model():
+    from pydantic_ai.models.openai import OpenAIChatModel
+
+    model = asyncio.run(PydanticAIClient("ollama:llama3.1")._build_model())
+
+    assert isinstance(model, OpenAIChatModel)
+    assert type(model).__name__ == "_NullContentSafeOpenAIChatModel"

From 829b56e81553f1c9c650eb2dc959e459fdf04754 Mon Sep 17 00:00:00 2001
From: cardosofede <federico.cardoso.e@gmail.com>
Date: Thu, 1 Oct 2026 19:31:56 +0700
Subject: [PATCH 6/6] fix(agents): a pydantic-ai turn ends when its reader
 leaves, not when the stream is collected

prompt_stream yielded from inside the request slot, agent.iter() and the
usage fold. A reader that stopped mid-turn (a WS drop, a page reload, a
break) left that stack to be unwound by closing the generator, which
pydantic-ai's run cannot survive: aclose() raised, the slot stayed held
until the half-closed generator was garbage collected, and the unwind then
raised again in the finalizer where nobody could handle it. The slot is
process-global per base URL, so every other session and tick on the same
local backend queued behind a turn nobody was reading.

The run now lives in a task the client owns (_run_turn) and prompt_stream
only relays its events through a queue, in step with the reader so
abort_prompt still stops the run where the reader is. When the reader
closes, drops or is cancelled out of the stream, the task is cancelled and
awaited: the run exits in the task that entered it, usage is folded on the
way out, and the slot is released there. PromptDone no longer waits for the
reader to come back, so the slot is free as soon as the turn is over.

CORR-714
---
 condor/acp/pydantic_ai_client.py |  89 +++++++++++++++++++++++----
 tests/test_agents.py             | 102 +++++++++++++++++++++++++++++++
 tests/test_token_usage.py        |  10 +--
 3 files changed, 182 insertions(+), 19 deletions(-)

diff --git a/condor/acp/pydantic_ai_client.py b/condor/acp/pydantic_ai_client.py
index 0593102df..482402615 100644
--- a/condor/acp/pydantic_ai_client.py
+++ b/condor/acp/pydantic_ai_client.py
@@ -16,7 +16,7 @@
 import os
 import time
 import uuid
-from typing import Any, AsyncIterator, Iterator
+from typing import Any, AsyncIterator, Awaitable, Callable, Iterator
 from urllib.parse import urlparse
 
 from .client import (
@@ -1069,9 +1069,69 @@ async def prompt_stream(
         hardcoded list of model ids is a maintenance burden that would go stale
         faster than the providers ship. A model that cannot see says so in its
         own error, which reaches the user as the turn's error (FEAT-098).
+
+        The run itself lives in a task this client owns (:meth:`_run_turn`);
+        this generator only relays its events. A consumer may stop reading at
+        any ``yield`` (a WS drop, a page reload, a cancelled prompt task), and
+        pydantic-ai's run cannot be unwound from a generator that is being
+        closed — its cancel scopes must exit in the task that entered them,
+        the same constraint ``_run_mcp_lifecycle`` exists for. Cancelling the
+        owned task instead ends the turn in order, so the request slot comes
+        back when the reader leaves rather than when this generator is
+        collected (CORR-714).
         """
         assert self._agent is not None, "Client not started"
 
+        # None marks the end of the turn; the task puts it however it ends.
+        events: asyncio.Queue[ACPEvent | None] = asyncio.Queue()
+        turn = asyncio.create_task(self._run_turn(text, images, events))
+        try:
+            while (event := await events.get()) is not None:
+                yield event
+                # The reader is back for more: let the turn take its next step.
+                events.task_done()
+        finally:
+            turn.cancel()
+            try:
+                await turn
+            except asyncio.CancelledError:
+                # The turn's cancellation is ours to absorb -- only re-raise
+                # when it is *this* task being cancelled.
+                if not turn.cancelled():
+                    raise
+
+    async def _run_turn(
+        self,
+        text: str,
+        images: list | None,
+        events: asyncio.Queue[ACPEvent | None],
+    ) -> None:
+        """Run one turn start to finish, handing its events to ``events``.
+
+        Each event waits for the reader to come back for the next one, so the
+        run advances in step with its consumer exactly as it did when
+        ``prompt_stream`` was the run: ``abort_prompt`` still stops it at the
+        step the reader has reached. ``PromptDone`` is the exception — nothing
+        follows it, and waiting there would keep the slot for a reader that
+        (rightly) stops at it.
+        """
+
+        async def emit(event: ACPEvent) -> None:
+            events.put_nowait(event)
+            if not isinstance(event, PromptDone):
+                await events.join()
+
+        try:
+            await self._run_turn_steps(text, images, emit)
+        finally:
+            events.put_nowait(None)
+
+    async def _run_turn_steps(
+        self,
+        text: str,
+        images: list | None,
+        emit: Callable[[ACPEvent], Awaitable[None]],
+    ) -> None:
         # Serialize requests: local inference servers (LM Studio, Ollama) process
         # one request at a time. Without this, concurrent ticks race to connect
         # and the losing ticks ConnectTimeout against a busy server. Cloud
@@ -1111,13 +1171,16 @@ async def prompt_stream(
 
                         if isinstance(node, ModelRequestNode):
                             elapsed = time.monotonic() - start_time
-                            yield Heartbeat(elapsed_seconds=elapsed)
+                            await emit(Heartbeat(elapsed_seconds=elapsed))
                             for event in self._tool_return_events(node, blocked_ids):
-                                yield event
+                                await emit(event)
 
                         elif isinstance(node, CallToolsNode):
-                            async for event in self._response_events(node, blocked_ids):
-                                yield event
+                            async with contextlib.aclosing(
+                                self._response_events(node, blocked_ids)
+                            ) as response_events:
+                                async for event in response_events:
+                                    await emit(event)
 
                     # Accumulate messages so the next prompt_stream() call sees
                     # this turn's context via message_history. An aborted run
@@ -1129,15 +1192,17 @@ async def prompt_stream(
                     elif aborted:
                         self._message_history.extend(run.new_messages())
 
-                yield PromptDone(stop_reason="cancelled" if aborted else "end_turn")
+                await emit(
+                    PromptDone(stop_reason="cancelled" if aborted else "end_turn")
+                )
 
             except asyncio.TimeoutError:
-                yield PromptDone(stop_reason="timeout")
+                await emit(PromptDone(stop_reason="timeout"))
             except Exception as e:
                 log.exception("PydanticAI prompt error: %s", e)
                 await self._mark_dead_if_transport_closed(e)
-                yield TextChunk(text=self._format_error(e))
-                yield PromptDone(stop_reason="error")
+                await emit(TextChunk(text=self._format_error(e)))
+                await emit(PromptDone(stop_reason="error"))
 
     @contextlib.asynccontextmanager
     async def _usage_counted(self, run: Any) -> AsyncIterator[None]:
@@ -1146,9 +1211,9 @@ async def _usage_counted(self, run: Any) -> AsyncIterator[None]:
         On the way out of the run, not beside the history accumulation: a
         finished run, a stopped one and one that raised all spent their
         requests, and so does one whose consumer walked away mid-answer (a WS
-        drop, a page reload), which closes this generator at a ``yield`` and
-        never reaches the lines after the node loop. The run is still open
-        here, so ``PromptDone`` — yielded after this exits — already sees the
+        drop, a page reload), which cancels the turn at an ``emit`` and never
+        reaches the lines after the node loop. The run is still open
+        here, so ``PromptDone`` — emitted after this exits — already sees the
         turn's tokens.
         """
         try:
diff --git a/tests/test_agents.py b/tests/test_agents.py
index a8394cadf..89cfe348b 100644
--- a/tests/test_agents.py
+++ b/tests/test_agents.py
@@ -558,6 +558,108 @@ async def _run():
     asyncio.run(_run())
 
 
+# ── a consumer that walks away mid-turn (CORR-714) ──
+
+
+def _answering_client(sem):
+    """A real pydantic-ai run behind a local backend's one-request slot."""
+    from pydantic_ai import Agent
+    from pydantic_ai.messages import ModelResponse, TextPart
+    from pydantic_ai.models.function import FunctionModel
+
+    client = PydanticAIClient(model="ollama:x")
+    client._agent = Agent(FunctionModel(lambda m, i: ModelResponse([TextPart("hi")])))
+    client._request_semaphore = sem
+    return client
+
+
+def _other_tasks():
+    return asyncio.all_tasks() - {asyncio.current_task()}
+
+
+def test_closing_the_stream_mid_turn_returns_the_slot_at_once():
+    # CORR-714: a WS drop or a page reload stops reading mid-answer. The slot is
+    # process-global per backend, so it must come back when the stream is
+    # closed — not whenever the half-read generator happens to be collected.
+    from condor.acp.client import TextChunk
+
+    async def _run():
+        sem = asyncio.Semaphore(1)
+        client = _answering_client(sem)
+
+        stream = client.prompt_stream("go")
+        async for event in stream:
+            if isinstance(event, TextChunk):
+                assert client._slot_held
+                break
+        await stream.aclose()
+
+        assert not client._slot_held
+        assert not sem.locked()
+        assert not _other_tasks(), "the turn kept running with nobody reading it"
+
+    asyncio.run(_run())
+
+
+def test_dropping_the_stream_mid_turn_returns_the_slot():
+    # No caller closes the stream by hand: a bare ``async for`` that breaks only
+    # drops its reference. That alone must end the turn, cleanly.
+    from condor.acp.client import TextChunk
+
+    async def _run():
+        sem = asyncio.Semaphore(1)
+        client = _answering_client(sem)
+
+        async for event in client.prompt_stream("go"):
+            if isinstance(event, TextChunk):
+                break
+        for _ in range(10):
+            if not _other_tasks():
+                break
+            await asyncio.sleep(0)
+
+        assert not client._slot_held
+        assert not sem.locked()
+        assert not _other_tasks(), "the turn kept running with nobody reading it"
+
+    asyncio.run(_run())
+
+
+def test_cancelling_the_reader_mid_turn_returns_the_slot():
+    # Web Stop cancels the task that is reading the stream, which is waiting on
+    # the model at that moment.
+    from pydantic_ai import Agent
+    from pydantic_ai.models.function import FunctionModel
+
+    async def _run():
+        sem = asyncio.Semaphore(1)
+        client = _answering_client(sem)
+        generating = asyncio.Event()
+
+        async def _slow_model(messages, info):
+            generating.set()
+            await asyncio.sleep(3600)
+
+        client._agent = Agent(FunctionModel(_slow_model))
+
+        async def _read():
+            async for _event in client.prompt_stream("go"):
+                pass
+
+        task = asyncio.create_task(_read())
+        await generating.wait()
+        assert client._slot_held
+        task.cancel()
+        done, _ = await asyncio.wait([task], timeout=0.5)
+        assert done and task.cancelled()
+
+        assert not client._slot_held
+        assert not sem.locked()
+        assert not _other_tasks(), "the turn kept running with nobody reading it"
+
+    asyncio.run(_run())
+
+
 def test_hold_request_slot_noop_for_cloud_providers():
     # CORR-330: the outer guard is explicit acquire/release now; cloud providers
     # (semaphore None) must still pass straight through it.
diff --git a/tests/test_token_usage.py b/tests/test_token_usage.py
index 1cc9fae62..1834cae41 100644
--- a/tests/test_token_usage.py
+++ b/tests/test_token_usage.py
@@ -15,7 +15,6 @@
 from __future__ import annotations
 
 import asyncio
-import contextlib
 import json
 from decimal import Decimal
 from types import SimpleNamespace
@@ -203,12 +202,9 @@ async def run() -> None:
         async for event in stream:
             if isinstance(event, TextChunk):
                 break
-        # Unwinding pydantic-ai's run from a closed generator raises on its own
-        # (its anyio cancel scope; it did before FEAT-120 too, and in
-        # production the finalizer only logs it). What this pins is that the
-        # usage was folded first: the fold is the innermost exit.
-        with contextlib.suppress(RuntimeError, GeneratorExit):
-            await stream.aclose()
+        # Closing the stream cancels the turn, and the fold is the run's
+        # innermost exit, so the tokens are counted on the way out.
+        await stream.aclose()
 
     asyncio.run(run())