Reduce MCP token usage

This commit is contained in:
2026-05-29 13:16:05 +01:00
parent da46340a82
commit 51aac9f447
9 changed files with 453 additions and 137 deletions

View File

@@ -3,6 +3,8 @@ package mcp
import (
"encoding/json"
"fmt"
"github.com/hjbdev/patterm/internal/scratchpad"
)
// MCP protocol surface. The patterm server originally exposed each
@@ -43,7 +45,7 @@ var serverInfo = map[string]any{
// up as sub-agents and won't be tied into the patterm lifecycle.
//
// Keep this short — clients vary in how much they surface to the LLM.
const serverInstructions = "You are already running INSIDE patterm; the `patterm` MCP server is connected over the same stdio MCP transport you use for any other MCP server. Use the MCP tools you see in tools/list — do NOT (a) try to launch `patterm` or `patterm mcp-stdio` yourself, (b) poke the Unix socket through perl / nc / socat / curl, or (c) shell out to `claude` / `codex` / `opencode` to start a peer. Any of those bypasses caller-identity and the new agent will land as a stray top-level tab instead of a child under you. Start with `whoami` for your role and the full tool list, then `help('topics')` for orientation. `spawn_agent` is the only correct way to start a sub-agent; `spawn_process` is for non-LLM commands; `list_processes` / `get_process_output` inspect them; `send_input` / `send_message` drive them. Whatever you spawn is yours to `close_process` when done. When you `send_message` a sub-agent, its reply comes back into YOUR pane as `[sub-agent:<name>] …`, not into the sub-agent's output — to wait for it, use `timer_fire_when_idle_any([sub_agent])` and then read your own pane; do NOT `wait_for_pattern` on the sub-agent, that will deadlock until timeout."
const serverInstructions = "You are inside patterm. Use these MCP tools; do not launch patterm or poke its Unix socket yourself. Use spawn_agent for sub-agents, close spawned panes when done, and use timer_fire_when_idle_* instead of wait_for_pattern to wait for send_message replies."
// toolDescriptor is the shape returned by `tools/list`. inputSchema is
// a JSON Schema object — we provide a minimal `{type: "object"}` schema
@@ -76,37 +78,41 @@ func objectSchema(properties map[string]any, required []string) map[string]any {
}
func stringProp(desc string) map[string]any {
return map[string]any{"type": "string", "description": desc}
_ = desc
return map[string]any{"type": "string"}
}
func numberProp(desc string) map[string]any {
return map[string]any{"type": "number", "description": desc}
_ = desc
return map[string]any{"type": "number"}
}
func integerProp(desc string) map[string]any {
return map[string]any{"type": "integer", "description": desc}
_ = desc
return map[string]any{"type": "integer"}
}
func booleanProp(desc string) map[string]any {
return map[string]any{"type": "boolean", "description": desc}
_ = desc
return map[string]any{"type": "boolean"}
}
func arrayOfStringsProp(desc string) map[string]any {
_ = desc
return map[string]any{
"type": "array",
"description": desc,
"items": map[string]any{"type": "string"},
"type": "array",
"items": map[string]any{"type": "string"},
}
}
// toolCatalog is the full list advertised via tools/list. Descriptions
// are intentionally short — clients are expected to fetch help() for
// detail. Schemas mirror the param structs in tools.go.
func toolCatalog() []toolDescriptor {
return []toolDescriptor{
func toolCatalog(role CallerRole) []toolDescriptor {
tools := []toolDescriptor{
{
Name: "spawn_agent",
Description: "Spawn a sub-agent from an agent preset and optionally seed it with initial instructions. This is the ONLY correct way to start a sub-agent under you — do not shell out to `claude` / `codex` / `opencode` and do not poke patterm's Unix socket via perl / nc / socat. Either bypasses caller identity and the new agent lands as a stray top-level tab instead of your child. Caller owns lifecycle: when the sub-agent's work is done (it reports back via send_message, or you no longer need it), call close_process on its process_id to free the pane and tear down the PTY. See help('spawning') and help('lifecycle').",
Description: "Spawn a sub-agent from an agent preset.",
InputSchema: objectSchema(map[string]any{
"agent": stringProp("Preset name (e.g. \"claude\", \"codex\")."),
"agent_instructions": stringProp("Initial prompt typed into the agent after it's ready."),
@@ -115,14 +121,14 @@ func toolCatalog() []toolDescriptor {
},
{
Name: "spawn_process",
Description: "Spawn a process: a terminal, a process preset, or a freeform argv command. Caller owns lifecycle: when the process is no longer needed, call close_process to remove its entry (live children are SIGKILL'd first). See help('lifecycle').",
Description: "Spawn a terminal, process preset, or argv command.",
InputSchema: objectSchema(map[string]any{
"kind": stringProp("\"terminal\" or \"command\"."),
"preset": stringProp("Process preset name (mutually exclusive with argv)."),
"argv": map[string]any{"type": "array", "items": map[string]any{"type": "string"}, "description": "Argv vector for freeform commands."},
"argv": map[string]any{"type": "array", "items": map[string]any{"type": "string"}},
"name": stringProp("Display name for the pane."),
"working_dir": stringProp("Working directory for the spawned process."),
"env": map[string]any{"type": "object", "additionalProperties": map[string]any{"type": "string"}, "description": "Extra environment variables."},
"env": map[string]any{"type": "object", "additionalProperties": map[string]any{"type": "string"}},
"shell": booleanProp("Run argv through sh -lc."),
}, nil),
},
@@ -188,7 +194,9 @@ func toolCatalog() []toolDescriptor {
{
Name: "get_project_status",
Description: "One-shot orientation: project, caller, processes, scratchpads.",
InputSchema: objectSchema(nil, nil),
InputSchema: objectSchema(map[string]any{
"include_tools": booleanProp("Include available_tools in caller metadata."),
}, nil),
},
{
Name: "get_process_output",
@@ -197,6 +205,7 @@ func toolCatalog() []toolDescriptor {
"process_id": stringProp("Target process id."),
"mode": stringProp("\"grid\" (default) or \"stream\"."),
"since_offset": integerProp("Watermark offset from a previous call."),
"max_bytes": integerProp("Maximum content bytes to return."),
}, []string{"process_id"}),
},
{
@@ -205,6 +214,7 @@ func toolCatalog() []toolDescriptor {
InputSchema: objectSchema(map[string]any{
"process_id": stringProp("Target process id."),
"since_offset": integerProp("Byte offset from a previous call."),
"max_bytes": integerProp("Maximum content bytes to return."),
}, []string{"process_id"}),
},
{
@@ -214,12 +224,13 @@ func toolCatalog() []toolDescriptor {
"process_id": stringProp("Target process id."),
"pattern": stringProp("Regex pattern."),
"kind": stringProp("\"rendered\" (default) or \"raw\"."),
"limit": integerProp("Max matches (default 20)."),
"limit": integerProp("Max matches (default 10)."),
"max_bytes": integerProp("Max bytes per returned match line."),
}, []string{"process_id", "pattern"}),
},
{
Name: "wait_for_pattern",
Description: "Block until pattern appears in the TARGET process's own output, or timeout elapses. Use this for waiting on text the target itself will emit (a shell prompt, a build's \"tests passed\" line, etc.). Anti-pattern: do NOT use this to wait for a sub-agent's reply to send_message — replies are routed into the CALLER's pane tagged `[sub-agent:<name>]`, not into the sub-agent's output, so this call will spin to timeout. For sub-agent coordination use `timer_fire_when_idle_any` and then read your own pane.",
Description: "Block until pattern appears in the target process output.",
InputSchema: objectSchema(map[string]any{
"process_id": stringProp("Target process id."),
"pattern": stringProp("Regex pattern."),
@@ -238,18 +249,19 @@ func toolCatalog() []toolDescriptor {
Name: "send_input",
Description: "Type text, paste a block, or fire a named key into a process. Optional tail-after-send.",
InputSchema: objectSchema(map[string]any{
"process_id": stringProp("Target process id."),
"kind": stringProp("\"text\", \"paste\", or \"key\"."),
"text": stringProp("Text payload for kind=text/paste."),
"key": stringProp("Named key for kind=key (e.g. \"enter\", \"escape\")."),
"submit": booleanProp("Whether to append a submit keystroke."),
"wait_ms": integerProp("After sending, wait this many ms before tailing."),
"tail_mode": stringProp("\"none\" (default), \"stream\", or \"grid\"."),
"process_id": stringProp("Target process id."),
"kind": stringProp("\"text\", \"paste\", or \"key\"."),
"text": stringProp("Text payload for kind=text/paste."),
"key": stringProp("Named key for kind=key (e.g. \"enter\", \"escape\")."),
"submit": booleanProp("Whether to append a submit keystroke."),
"wait_ms": integerProp("After sending, wait this many ms before tailing."),
"tail_mode": stringProp("\"none\" (default), \"stream\", or \"grid\"."),
"tail_max_bytes": integerProp("Maximum bytes in returned tail."),
}, []string{"process_id", "kind"}),
},
{
Name: "send_message",
Description: "Deliver a text message to another process as orchestrator-owned input. Fire-and-forget: returns immediately, without waiting for the recipient to read or act. If the recipient replies via send_message, that reply arrives in YOUR pane tagged `[sub-agent:<name>]` (child→parent) or `[orchestrator]` (parent→child) — NOT in the recipient's output. To wait for a sub-agent's reply, schedule `timer_fire_when_idle_any([sub_agent_id], body=…)` and then read your own pane when the timer fires. Do not `wait_for_pattern` on the recipient for a reply; it will deadlock.",
Description: "Send a tagged message to a parent or child process.",
InputSchema: objectSchema(map[string]any{
"target_process_id": stringProp("Recipient process id."),
"message": stringProp("Message body."),
@@ -283,7 +295,7 @@ func toolCatalog() []toolDescriptor {
},
{
Name: "timer_fire_when_idle_any",
Description: "Canonical way to wait for a sub-agent to finish working: send_message the sub-agent, then schedule this with watched=[sub_agent_id]; when it fires, the reply is already sitting in your own pane tagged `[sub-agent:<name>]`. Schedules a timer that fires when any watched process enters idle (already-idle entries excluded), or when max_wait_seconds elapses.",
Description: "Fire when any watched process becomes idle.",
InputSchema: objectSchema(map[string]any{
"watched": arrayOfStringsProp("Process ids to watch."),
"body": stringProp("Message delivered verbatim to the owning agent when the timer fires."),
@@ -294,7 +306,7 @@ func toolCatalog() []toolDescriptor {
},
{
Name: "timer_fire_when_idle_all",
Description: "Canonical way to wait for several sub-agents to finish working in parallel: send_message each one, then schedule this with watched=[…ids]; when it fires, each reply is in your own pane tagged `[sub-agent:<name>]`. Schedules a timer that fires when all watched processes are idle (already-idle entries count as satisfied), or when max_wait_seconds elapses.",
Description: "Fire when all watched processes are idle.",
InputSchema: objectSchema(map[string]any{
"watched": arrayOfStringsProp("Process ids to watch."),
"body": stringProp("Message delivered verbatim to the owning agent when the timer fires."),
@@ -338,7 +350,9 @@ func toolCatalog() []toolDescriptor {
Name: "scratchpad_read",
Description: "Read a scratchpad entry, returning content and revision.",
InputSchema: objectSchema(map[string]any{
"name": stringProp("Scratchpad name."),
"name": stringProp("Scratchpad name."),
"offset": integerProp("Byte offset to start reading."),
"max_bytes": integerProp("Maximum content bytes to return."),
}, []string{"name"}),
},
{
@@ -367,8 +381,10 @@ func toolCatalog() []toolDescriptor {
},
{
Name: "whoami",
Description: "Return the caller's identity, role, parent, project metadata, and available tools.",
InputSchema: objectSchema(nil, nil),
Description: "Return caller identity, role, parent, and project metadata.",
InputSchema: objectSchema(map[string]any{
"include_tools": booleanProp("Include full available tool list."),
}, nil),
},
{
Name: "help",
@@ -378,6 +394,16 @@ func toolCatalog() []toolDescriptor {
}, nil),
},
}
if role != RoleSubAgent {
return tools
}
filtered := tools[:0]
for _, tool := range tools {
if tool.Name != "spawn_agent" {
filtered = append(filtered, tool)
}
}
return filtered
}
// handleProtocolMethod handles MCP protocol-level methods. Returns
@@ -416,7 +442,14 @@ func (s *Server) handleProtocolMethod(callerID, method string, params json.RawMe
return map[string]any{}, true, 0, "", nil
case "tools/list":
return map[string]any{"tools": toolCatalog()}, true, 0, "", nil
role := RoleOrchestrator
s.mu.Lock()
host := s.host
s.mu.Unlock()
if host != nil {
role = host.CallerRole(callerID)
}
return map[string]any{"tools": toolCatalog(role)}, true, 0, "", nil
case "tools/call":
var p struct {
@@ -472,25 +505,12 @@ func (s *Server) handleProtocolMethod(callerID, method string, params json.RawMe
return nil, false, 0, "", nil
}
// wrapToolResult turns a structured tool result into an MCP tools/call
// response. Plain strings (e.g. "ok") become text content; structured
// values are JSON-encoded into a single text block and also exposed
// under structuredContent so capable clients can read the shape.
// wrapToolResult turns a tool result into an MCP tools/call response.
// Structured values are exposed once under structuredContent; content
// carries only a short model-readable summary to avoid duplicating
// large JSON payloads into the transcript.
func wrapToolResult(result any) map[string]any {
var text string
switch v := result.(type) {
case nil:
text = "ok"
case string:
text = v
default:
b, err := json.Marshal(v)
if err != nil {
text = fmt.Sprintf("%v", v)
} else {
text = string(b)
}
}
text := summarizeToolResult(result)
out := map[string]any{
"content": []map[string]any{{"type": "text", "text": text}},
"isError": false,
@@ -505,3 +525,70 @@ func wrapToolResult(result any) map[string]any {
}
return out
}
func summarizeToolResult(result any) string {
switch v := result.(type) {
case nil:
return "ok"
case string:
return v
case ProcessInfo:
return fmt.Sprintf("%s %s %s", v.ID, v.Kind, v.Status)
case []ProcessInfo:
return fmt.Sprintf("%d processes", len(v))
case ProcessStatus:
return fmt.Sprintf("%s %s %s", v.ID, v.Kind, v.Status)
case ProjectStatus:
return fmt.Sprintf("%d processes, %d scratchpads", len(v.Processes), len(v.Scratchpads))
case ProcessOutput:
return outputSummary(v.Mode, v.ContentBytes, v.Truncated, v.NewOffset)
case RawOutput:
return outputSummary("raw", v.ContentBytes, v.Truncated, v.NewOffset)
case SearchResult:
if v.Truncated {
return fmt.Sprintf("%d matches (truncated)", len(v.Matches))
}
return fmt.Sprintf("%d matches", len(v.Matches))
case SendInputResult:
if v.Tail != nil {
return "ok; tail included"
}
return "ok"
case TimerHandle:
return "timer " + v.ID
case TimerFireWhenIdleResponse:
if v.ID != "" {
return fmt.Sprintf("%s timer %s", v.Status, v.ID)
}
return v.Status
case []TimerInfo:
return fmt.Sprintf("%d timers", len(v))
case []scratchpad.Entry:
return fmt.Sprintf("%d scratchpads", len(v))
case ScratchpadReadResult:
if v.Truncated {
return fmt.Sprintf("%d/%d bytes from offset %d", v.ContentBytes, v.TotalBytes, v.Offset)
}
return fmt.Sprintf("%d bytes", v.ContentBytes)
case WhoAmI:
if v.ProcessID == "" {
return string(v.Role)
}
return fmt.Sprintf("%s %s", v.ProcessID, v.Role)
case HelpResponse:
return fmt.Sprintf("help: %s", v.Topic)
default:
return "ok"
}
}
func outputSummary(mode string, bytes int, truncated bool, offset int64) string {
s := fmt.Sprintf("%s output: %d bytes", mode, bytes)
if offset > 0 {
s += fmt.Sprintf(", offset %d", offset)
}
if truncated {
s += " (truncated)"
}
return s
}