v0.10: add automated Codex orchestration and deployment check

.codex/config.toml

@@ -1,13 +1,13 @@
-profile = "deep-research"
 model = "gpt-5.4"
 model_reasoning_effort = "high"
 sandbox_mode = "workspace-write"
-approval_policy = "on-request"
+approval_policy = "never"
 project_doc_max_bytes = 65536
-
-[tools]
 web_search = "live"
 
+[features]
+multi_agent = true
+
 [agents]
 max_threads = 6
 max_depth = 1
@@ -16,46 +16,52 @@ max_depth = 1
 model = "gpt-5.4"
 model_reasoning_effort = "high"
 sandbox_mode = "workspace-write"
-approval_policy = "on-request"
+approval_policy = "never"
 project_doc_max_bytes = 65536
-
-[profiles.deep-research.tools]
 web_search = "live"
 
 [profiles.deep-research-fast]
 model = "gpt-5.4-mini"
 model_reasoning_effort = "medium"
 sandbox_mode = "workspace-write"
-approval_policy = "on-request"
+approval_policy = "never"
 project_doc_max_bytes = 65536
-
-[profiles.deep-research-fast.tools]
 web_search = "live"
 
 [profiles.deep-research-review]
 model = "gpt-5.4"
 model_reasoning_effort = "xhigh"
 sandbox_mode = "workspace-write"
-approval_policy = "on-request"
+approval_policy = "never"
 project_doc_max_bytes = 65536
-
-[profiles.deep-research-review.tools]
 web_search = "live"
 
 [mcp_servers.openaiDeveloperDocs]
 url = "https://developers.openai.com/mcp"
 
+[mcp_servers.openaiDeveloperDocs.tools.fetch_openai_doc]
+approval_mode = "approve"
+
 [mcp_servers.tavily]
 command = "npx"
 args = ["-y", "tavily-mcp@latest"]
-env = { TAVILY_API_KEY = "${TAVILY_API_KEY}" }
+env_vars = ["TAVILY_API_KEY"]
+enabled = true
+required = false
 
 [mcp_servers.brave_search]
 command = "npx"
 args = ["-y", "@modelcontextprotocol/server-brave-search"]
-env = { BRAVE_API_KEY = "${BRAVE_API_KEY}" }
+env_vars = ["BRAVE_API_KEY"]
+enabled = true
+required = false
 
 [mcp_servers.exa]
 command = "npx"
 args = ["-y", "exa-mcp-server"]
-env = { EXA_API_KEY = "${EXA_API_KEY}" }
+env_vars = ["EXA_API_KEY"]
+enabled = true
+required = false
+
+[sandbox_workspace_write]
+network_access = true