agent config updates

bin/ai-mem-usage

@@ -130,33 +130,19 @@ def get_tmux_panes() -> list[TmuxPane]:
     return panes
 
 
-def get_descendants(pid: int, max_depth: int = 5) -> set[int]:
-    """Get all descendant PIDs of a process."""
-    descendants = set()
-    to_check = [pid]
-    depth = 0
-    
-    while to_check and depth < max_depth:
-        next_check = []
-        for p in to_check:
-            children = run_cmd(f"pgrep -P {p} 2>/dev/null").strip().split('\n')
-            for child in children:
-                if child.isdigit():
-                    child_pid = int(child)
-                    if child_pid not in descendants:
-                        descendants.add(child_pid)
-                        next_check.append(child_pid)
-        to_check = next_check
-        depth += 1
-    
-    return descendants
-
-
 def get_parent_chain(pid: int, max_depth: int = 10) -> list[tuple[int, str]]:
-    """Get parent chain up to launchd."""
+    """Ancestors as (pid, comm), starting with the immediate parent.
-    chain = []
-    current = pid
 
+    Walks upward via `ps ppid`, which stays correct when `pgrep -P` child
+    enumeration races with reparenting on macOS.
+    """
+    ppid_out = run_cmd(f"ps -p {pid} -o ppid= 2>/dev/null").strip()
+    try:
+        current = int(ppid_out)
+    except ValueError:
+        return []
+
+    chain: list[tuple[int, str]] = []
     for _ in range(max_depth):
         output = run_cmd(f"ps -p {current} -o ppid=,comm= 2>/dev/null").strip()
         if not output:
@@ -167,13 +153,12 @@ def get_parent_chain(pid: int, max_depth: int = 10) -> list[tuple[int, str]]:
         try:
             ppid = int(parts[0])
             comm = parts[1]
-            chain.append((ppid, comm))
-            if ppid <= 1:
-                break
-            current = ppid
         except ValueError:
             break
-    
+        chain.append((current, comm))
+        if ppid <= 1 or current <= 1:
+            break
+        current = ppid
     return chain
 
 
@@ -197,15 +182,13 @@ def main():
     processes = get_target_processes()
     panes = get_tmux_panes()
     
-    pane_descendants: dict[int, set[int]] = {}
+    pane_pids = {pane.pane_pid: pane for pane in panes}
-    for pane in panes:
-        pane_descendants[pane.pane_pid] = get_descendants(pane.pane_pid)
 
     tmux_mapping: dict[int, TmuxPane] = {}
     for proc in processes:
-        for pane in panes:
+        for ancestor_pid, _ in get_parent_chain(proc.pid):
-            if proc.pid in pane_descendants[pane.pane_pid]:
+            if ancestor_pid in pane_pids:
-                tmux_mapping[proc.pid] = pane
+                tmux_mapping[proc.pid] = pane_pids[ancestor_pid]
                 break
     
     by_window: dict[str, list[Process]] = defaultdict(list)

opencode/agents/discover-blast.md

@@ -1,46 +0,0 @@
----
-description: Discovery scout for blast-radius and impact surface mapping
-mode: subagent
-model: openai/gpt-5.3-codex-spark
-color: "#F59E0B"
-permission:
-  edit: deny
-  bash: deny
-  webfetch: deny
-  task:
-    "*": deny
-tools:
-  memory_*: true
----
-
-You are discover-blast.
-
-Goal: estimate direct and indirect impact surface for a proposed change.
-
-Rules:
-- Discovery only. No implementation or design advice.
-- Report impact evidence with path:line references.
-- Keep output compact and factual.
-- Maximum 5 findings.
-
-Focus:
-- directly touched files/symbols
-- indirectly coupled files/symbols
-- likely high-risk dependency edges
-
-Return valid JSON only:
-
-```json
-{
-  "agent": "discover-blast",
-  "scope": "...",
-  "findings": [
-    {
-      "claim": "...",
-      "evidence": "path/to/file:line",
-      "confidence": 0.0
-    }
-  ],
-  "unknowns": ["..."]
-}
-```

opencode/agents/discover-flow.md

@@ -1,46 +0,0 @@
----
-description: Discovery scout for execution and data flow tracing
-mode: subagent
-model: openai/gpt-5.3-codex-spark
-color: "#3B82F6"
-permission:
-  edit: deny
-  bash: deny
-  webfetch: deny
-  task:
-    "*": deny
-tools:
-  memory_*: true
----
-
-You are discover-flow.
-
-Goal: trace execution or data flow through the codebase.
-
-Rules:
-- Discovery only. No implementation or design advice.
-- Build an evidence-backed trace, not speculation.
-- Keep output compact and factual.
-- Maximum 5 findings.
-
-Focus:
-- entry point to sink path
-- transformation points
-- boundary crossings between modules
-
-Return valid JSON only:
-
-```json
-{
-  "agent": "discover-flow",
-  "scope": "...",
-  "findings": [
-    {
-      "claim": "...",
-      "evidence": "path/to/file:line",
-      "confidence": 0.0
-    }
-  ],
-  "unknowns": ["..."]
-}
-```

opencode/agents/discover-locator.md

@@ -1,46 +0,0 @@
----
-description: Discovery scout for files, symbols, and entry points
-mode: subagent
-model: openai/gpt-5.3-codex-spark
-color: "#22C55E"
-permission:
-  edit: deny
-  bash: deny
-  webfetch: deny
-  task:
-    "*": deny
-tools:
-  memory_*: true
----
-
-You are discover-locator.
-
-Goal: quickly locate where relevant logic lives.
-
-Rules:
-- Discovery only. No implementation or design advice.
-- Use repository evidence only.
-- Keep output compact and factual.
-- Maximum 5 findings.
-
-Focus:
-- candidate files/modules
-- key symbols and entry points
-- strongest path:line evidence
-
-Return valid JSON only:
-
-```json
-{
-  "agent": "discover-locator",
-  "scope": "...",
-  "findings": [
-    {
-      "claim": "...",
-      "evidence": "path/to/file:line",
-      "confidence": 0.0
-    }
-  ],
-  "unknowns": ["..."]
-}
-```

opencode/agents/discover-xref.md

@@ -1,47 +0,0 @@
----
-description: Discovery scout for definitions, usages, callers, and callees
-mode: subagent
-model: openai/gpt-5.3-codex-spark
-color: "#14B8A6"
-permission:
-  edit: deny
-  bash: deny
-  webfetch: deny
-  task:
-    "*": deny
-tools:
-  memory_*: true
----
-
-You are discover-xref.
-
-Goal: map cross references for target symbols or files.
-
-Rules:
-- Discovery only. No implementation or design advice.
-- Use direct evidence with path:line references.
-- Keep output compact and factual.
-- Maximum 5 findings.
-
-Focus:
-- definitions
-- usages
-- callers/callees
-- import/export touchpoints
-
-Return valid JSON only:
-
-```json
-{
-  "agent": "discover-xref",
-  "scope": "...",
-  "findings": [
-    {
-      "claim": "...",
-      "evidence": "path/to/file:line",
-      "confidence": 0.0
-    }
-  ],
-  "unknowns": ["..."]
-}
-```

opencode/agents/search.md

@@ -1,62 +0,0 @@
----
-description: Search - research specialist for external information
-mode: subagent
-color: "#10B981"
-permission:
-  edit: deny
-  bash: deny
-tools:
-  memory_*: true
----
-
-You are Search, a research specialist. You find external information for the team.
-
-## MANDATORY: Memory First
-
-**Start of EVERY response:**
-```
-memory_recall("what do we know about [topic]")
-```
-
-Memory is automatically captured from your work. Just be detailed in your findings.
-
-## Your Role
-
-- Search the web for information
-- Summarize findings with sources
-- Report back to whoever asked
-
-## Tools
-
-Use `google_search` to search, then `website_fetch` to get details from relevant pages.
-
-## What You Do
-
-- Find documentation, examples, best practices
-- Research unfamiliar technologies
-- Compare approaches with evidence
-
-## What You Don't Do
-
-- Edit files
-- Run commands
-- Speculate without sources
-- Make decisions (just report findings)
-
-## Output Format
-
-Be detailed so the memory system captures useful facts:
-
-```
-## Research: [topic]
-
-### Findings
-- [finding 1 with specific details] (source: [url])
-- [finding 2 with specific details] (source: [url])
-
-### Summary
-[1-2 sentence summary]
-
-### Recommendation
-[if asked for one, based on evidence]
-```

opencode/opencode.json

@@ -11,12 +11,15 @@
 		}
 	},
 	"disabled_providers": [
+		"openai",
+		"zai",
+		"zhipuai",
+		"zhipuai-coding-plan",
 		"zen",
 		"cloudflare",
 		"cloudflare-ai-gateway",
 		"cloudflare-workers-ai",
-		"amazon-bedrock",
+		"amazon-bedrock"
-		"ollama-cloud"
 	],
 	"compaction": {
 		"auto": false
@@ -85,5 +88,101 @@
 			],
 			"enabled": false
 		}
+	},
+	"provider": {
+		"cliproxy": {
+			"api": "openai",
+			"name": "CLIProxyAPI (dmini)",
+			"options": {
+				"apiKey": "{env:CLIPROXY_API_KEY}",
+				"baseURL": "{env:CLIPROXY_BASE_URL}"
+			},
+			"models": {
+				"gpt-5.6-sol": {
+					"name": "gpt-5.6-sol",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				},
+				"gpt-5.6-terra": {
+					"name": "gpt-5.6-terra",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				},
+				"gpt-5.6-luna": {
+					"name": "gpt-5.6-luna",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				},
+				"gpt-5.5": {
+					"name": "gpt-5.5",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				},
+				"gpt-5.4": {
+					"name": "gpt-5.4",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				},
+				"gpt-5.4-mini": {
+					"name": "gpt-5.4-mini",
+					"attachment": true,
+					"modalities": {
+						"input": ["text", "image"],
+						"output": ["text"]
+					},
+					"tool_call": true,
+					"reasoning": true,
+					"limit": {
+						"context": 272000,
+						"output": 128000
+					}
+				}
+			}
+		}
 	}
 }