diff --git a/cecli/__init__.py b/cecli/__init__.py
index 866488fac48..ad97ffc345f 100644
--- a/cecli/__init__.py
+++ b/cecli/__init__.py
@@ -1,6 +1,6 @@
 from packaging import version
 
-__version__ = "1.5.0.dev"
+__version__ = "1.10.0.dev"
 safe_version = __version__
 
 try:
diff --git a/cecli/args.py b/cecli/args.py
index 7bd7cf253c4..22e899811f1 100644
--- a/cecli/args.py
+++ b/cecli/args.py
@@ -253,7 +253,7 @@ def get_parser(default_config_files, git_root):
         metavar="EDIT_FORMAT",
         choices=edit_format_choices,
         default=None,
-        help="Specify what edit format the LLM should use (default depends on model)",
+        help="Specify what edit format the LLM should use (default: agent)",
     )
     group.add_argument(
         "--ask",
diff --git a/cecli/coders/agent_coder.py b/cecli/coders/agent_coder.py
index 47f2e13d5e9..943a6f2e826 100644
--- a/cecli/coders/agent_coder.py
+++ b/cecli/coders/agent_coder.py
@@ -348,6 +348,10 @@ async def initialize_mcp_tools(self):
             verbose = getattr(self.args, "verbose", False) if self.args else False
             self.mcp_manager = McpServerManager([], self.io, verbose)
 
+        await self._initialize_local_server()
+        await self._connect_configured_servers()
+
+    async def _initialize_local_server(self):
         server_name = "Local"
         server = self.mcp_manager.get_server(server_name)
 
@@ -369,6 +373,35 @@ async def initialize_mcp_tools(self):
         else:
             await self.mcp_manager.connect_server(server_name)
 
+    async def _connect_configured_servers(self):
+        """Open connections for servers named in this agent's ``servers`` allowlist.
+
+        ``McpServerManager.spawn_child`` only mirrors servers the parent already
+        had connected, so a workflow's declarative ``servers:`` list would never
+        open a connection for servers that are disabled by default (or whose
+        parent connection failed).
+        """
+        included = getattr(self, "registered_servers", {}).get("included") or set()
+
+        for name in sorted(included):
+            if name == "local":
+                continue
+
+            server = self.mcp_manager.get_server(name)
+            if server is None:
+                self.io.tool_warning(
+                    f"MCP server '{name}' is required by this agent but is not configured"
+                )
+                continue
+
+            if server.is_connected:
+                continue
+
+            if not await self.mcp_manager.connect_server(server.name):
+                self.io.tool_warning(
+                    f"Failed to connect MCP server '{server.name}' required by this agent"
+                )
+
     async def _execute_mcp_tool(self, server, tool_name, params):
         """Helper to execute a single MCP tool call, created from legacy format."""
         from cecli.tools.utils.responses import ToolResponse
diff --git a/cecli/coders/base_coder.py b/cecli/coders/base_coder.py
index 0bdaf106905..95028b59053 100755
--- a/cecli/coders/base_coder.py
+++ b/cecli/coders/base_coder.py
@@ -998,12 +998,12 @@ def get_announcements(self):
             settings_items.append(f"reasoning {reasoning_effort}")
 
         # Prompt cache
-        if self.add_cache_headers or main_model.caches_by_default:
-            settings_items.append("prompt cache")
+        # if self.add_cache_headers or main_model.caches_by_default:
+        #   settings_items.append("prompt cache")
 
         # Infinite output
-        if main_model.info.get("supports_assistant_prefill") and self.verbose:
-            settings_items.append("infinite output")
+        # if main_model.info.get("supports_assistant_prefill") and self.verbose:
+        #    settings_items.append("infinite output")
 
         # Copy/paste mode
         if self.copy_paste_mode:
@@ -1033,10 +1033,6 @@ def get_announcements(self):
                 refresh = self.repo_map.refresh
                 env_items.append(f"map ({map_tokens} tokens, {refresh} refresh)")
                 repo_map_tokens = map_tokens
-            else:
-                env_items.append("repo-map disabled")
-        else:
-            env_items.append("repo-map disabled")
 
         sections["Environment"] = {"items": env_items}
         # --- CAPABILITIES ---
@@ -1076,7 +1072,7 @@ def get_announcements(self):
             if mcp_servers:
                 capabilities["Servers"] = mcp_servers
 
-        if capabilities:
+        if capabilities and not getattr(self.args, "tui", False):
             # sections["Extensions"] = {"subsections": capabilities}
             sections["Environment"]["subsections"] = capabilities
 
diff --git a/cecli/helpers/agents/service.py b/cecli/helpers/agents/service.py
index febc3d78b84..cd6258107a4 100644
--- a/cecli/helpers/agents/service.py
+++ b/cecli/helpers/agents/service.py
@@ -664,6 +664,15 @@ async def _create_sub_agent_coder(
                 inherited.setdefault("allow_nested_delegation", True)
             agent_config = inherited
 
+        # Workflow agents always keep the Local server available: its tools are
+        # the file/exec primitives a worker needs, and an explicit ``servers:``
+        # allowlist must not filter them out.
+        if name.startswith("wf:") and agent_config.get("servers_includelist"):
+            servers = [str(server).lower() for server in agent_config["servers_includelist"]]
+            if "local" not in servers:
+                servers.append("local")
+            agent_config["servers_includelist"] = servers
+
         kwargs = dict(
             io=parent_coder.io,
             from_coder=parent_coder,
@@ -909,6 +918,17 @@ async def _cleanup():
                 info.summary = info.summary or DEFAULT_SUMMARY_INTERRUPTED
                 logger.debug("Sub-agent %s generate cancelled (interrupted)", info.name)
                 raise
+            except SwitchCoderSignal as switch:
+                # A command run mid-turn (e.g. /load-mcp) asks for this
+                # sub-agent's coder to be rebuilt. Absorb the signal here:
+                # letting it escape would recreate the *primary* coder from a
+                # sub-agent. The switch also drains any prompts staged behind
+                # the command, mirroring run_one()'s post-command drain.
+                await self.switch_sub_agent_coder(info, switch, preproc=True)
+                await self._inject_sub_agent_result(info)
+                if info.status == SubAgentStatus.RUNNING:
+                    info.status = SubAgentStatus.FINISHED
+                    info.summary = info.summary or DEFAULT_SUMMARY_COMPLETED
             except Exception as exc:
                 stop_reason, error = "error", str(exc) or exc.__class__.__name__
                 await self._inject_sub_agent_result(info)
@@ -921,8 +941,6 @@ async def _cleanup():
                     exc_info=True,
                 )
                 raise
-            except SwitchCoderSignal:
-                raise
             finally:
                 _subagent_event(
                     info.coder, info.coder.uuid, "idle", stop_reason=stop_reason, error=error
diff --git a/cecli/helpers/diff/__init__.py b/cecli/helpers/diff/__init__.py
new file mode 100644
index 00000000000..718870e3270
--- /dev/null
+++ b/cecli/helpers/diff/__init__.py
@@ -0,0 +1,3 @@
+from .diff_helpers import unified_diff_compacted
+
+__all__ = ["unified_diff_compacted"]
diff --git a/cecli/helpers/diff/diff_helpers.py b/cecli/helpers/diff/diff_helpers.py
new file mode 100644
index 00000000000..88ce1db711a
--- /dev/null
+++ b/cecli/helpers/diff/diff_helpers.py
@@ -0,0 +1,154 @@
+"""Generic unified-diff helpers.
+
+These helpers are independent of hashline/HashPos formatting: they operate on
+plain text lines and only use :mod:`difflib`.
+"""
+
+import difflib
+
+
+def unified_diff_compacted(old_lines, new_lines, fromfile="", tofile="", context_lines=3):
+    """Build a unified diff with git-style change-group compaction.
+
+    ``difflib`` can anchor a change to the first of several identical blocks,
+    which makes unchanged lines look added or removed. Git compacts change
+    groups to their last possible position; this mirrors that for pure
+    insertions and deletions.
+
+    Returns:
+        list[str]: Unified diff lines without trailing newlines, or an empty
+            list when the inputs are identical.
+    """
+    matcher = difflib.SequenceMatcher(None, old_lines, new_lines)
+    opcodes = _compact_diff_opcodes(matcher.get_opcodes(), old_lines, new_lines)
+    diff_lines = []
+
+    for group in _group_diff_opcodes(opcodes, context_lines):
+        first = group[0]
+        last = group[-1]
+        diff_lines.append(
+            f"@@ -{_format_diff_range(first[1], last[2])} +"
+            f"{_format_diff_range(first[3], last[4])} @@"
+        )
+
+        for tag, i1, i2, j1, j2 in group:
+            if tag == "equal":
+                diff_lines.extend(" " + line for line in old_lines[i1:i2])
+            elif tag in ("replace", "delete"):
+                diff_lines.extend("-" + line for line in old_lines[i1:i2])
+            if tag in ("replace", "insert"):
+                diff_lines.extend("+" + line for line in new_lines[j1:j2])
+
+    if not diff_lines:
+        return []
+
+    return [f"--- {fromfile}", f"+++ {tofile}"] + diff_lines
+
+
+def _compact_diff_opcodes(opcodes, old_lines, new_lines):
+    """Slide pure insert/delete groups down over repeated lines."""
+    ops = [list(op) for op in opcodes]
+    index = 0
+
+    while index < len(ops):
+        if ops[index][0] == "equal":
+            index += 1
+            continue
+
+        start = index
+        while index < len(ops) and ops[index][0] != "equal":
+            index += 1
+
+        end = index
+
+        if end - start != 1:
+            continue
+
+        tag = ops[start][0]
+        if tag not in ("insert", "delete"):
+            continue
+
+        while end < len(ops) and ops[end][0] == "equal":
+            equal = ops[end]
+
+            if tag == "insert":
+                if ops[start][3] >= ops[start][4] or equal[3] >= equal[4]:
+                    break
+                if new_lines[ops[start][3]] != new_lines[equal[3]]:
+                    break
+            else:
+                if ops[start][1] >= ops[start][2] or equal[1] >= equal[2]:
+                    break
+                if old_lines[ops[start][1]] != old_lines[equal[1]]:
+                    break
+
+            if start == 0 or ops[start - 1][0] != "equal":
+                ops.insert(
+                    start,
+                    ["equal", ops[start][1], ops[start][1], ops[start][3], ops[start][3]],
+                )
+                start += 1
+                end += 1
+
+            previous = ops[start - 1]
+            previous[2] += 1
+            previous[4] += 1
+
+            ops[start][1] += 1
+            ops[start][2] += 1
+            ops[start][3] += 1
+            ops[start][4] += 1
+
+            equal[1] += 1
+            equal[3] += 1
+
+            if equal[1] == equal[2]:
+                del ops[end]
+
+        index = end
+
+    return [tuple(op) for op in ops]
+
+
+def _group_diff_opcodes(opcodes, context_lines):
+    """Group opcodes into hunks with ``context_lines`` of surrounding context."""
+    codes = [list(op) for op in opcodes]
+    if not codes:
+        codes = [["equal", 0, 1, 0, 1]]
+
+    if codes[0][0] == "equal":
+        tag, i1, i2, j1, j2 = codes[0]
+        codes[0] = [tag, max(i1, i2 - context_lines), i2, max(j1, j2 - context_lines), j2]
+
+    if codes[-1][0] == "equal":
+        tag, i1, i2, j1, j2 = codes[-1]
+        codes[-1] = [tag, i1, min(i2, i1 + context_lines), j1, min(j2, j1 + context_lines)]
+
+    spacing = context_lines * 2
+    group = []
+
+    for tag, i1, i2, j1, j2 in codes:
+        if tag == "equal" and i2 - i1 > spacing:
+            group.append((tag, i1, min(i2, i1 + context_lines), j1, min(j2, j1 + context_lines)))
+            yield group
+            group = []
+            i1, j1 = max(i1, i2 - context_lines), max(j1, j2 - context_lines)
+
+        group.append((tag, i1, i2, j1, j2))
+
+    if group and not (len(group) == 1 and group[0][0] == "equal"):
+        yield group
+
+
+def _format_diff_range(start, stop):
+    """Format a unified-diff range the same way :mod:`difflib` does."""
+    beginning = start + 1
+    length = stop - start
+
+    if length == 1:
+        return str(beginning)
+
+    if not length:
+        beginning -= 1
+
+    return f"{beginning},{length}"
diff --git a/cecli/helpers/hashline.py b/cecli/helpers/hashline.py
index da66a70a7c8..f232e5e85ff 100644
--- a/cecli/helpers/hashline.py
+++ b/cecli/helpers/hashline.py
@@ -3,6 +3,7 @@
 import re
 from collections import Counter
 
+from cecli.helpers.diff.diff_helpers import unified_diff_compacted
 from cecli.helpers.hashpos.hashpos import (  # noqa
     HASH_DELIMITER,
     UNIQUE_HASH_DELIMITER,
@@ -716,16 +717,14 @@ def get_hashline_content_diff(
     old_hashlines, old_content_to_lines, old_content_lines = _parse_content_for_diff(old_content)
     new_hashlines, new_content_to_lines, new_content_lines = _parse_content_for_diff(new_content)
 
-    # Generate content-only diff
-    content_diff = difflib.unified_diff(
+    # Generate content-only diff with change groups compacted to a stable position.
+    content_diff_lines = unified_diff_compacted(
         old_content_lines,
         new_content_lines,
         fromfile=fromfile,
         tofile=tofile,
-        lineterm="",
-        n=context_lines,
+        context_lines=context_lines,
     )
-    content_diff_lines = list(content_diff)
 
     # If there's no content change, return empty string
     if not content_diff_lines:
diff --git a/cecli/helpers/io_proxy.py b/cecli/helpers/io_proxy.py
index da7a430412f..c3cafd2f2a4 100644
--- a/cecli/helpers/io_proxy.py
+++ b/cecli/helpers/io_proxy.py
@@ -138,6 +138,22 @@ def reset_streaming_response(self, **kwargs) -> Any:
             kwargs["coder_uuid"] = self._coder_uuid
         return self._target.reset_streaming_response(**kwargs)
 
+    def ring_bell(self, **kwargs: Any) -> Any:
+        """Forward ring_bell with coder_uuid and is_workflow injected."""
+        if "coder_uuid" not in kwargs:
+            kwargs["coder_uuid"] = self._coder_uuid
+        if "is_workflow" not in kwargs:
+            kwargs["is_workflow"] = self._is_workflow_agent()
+        return self._target.ring_bell(**kwargs)
+
+    def notify_user_input_required(self, **kwargs: Any) -> Any:
+        """Forward notify_user_input_required with coder_uuid and is_workflow injected."""
+        if "coder_uuid" not in kwargs:
+            kwargs["coder_uuid"] = self._coder_uuid
+        if "is_workflow" not in kwargs:
+            kwargs["is_workflow"] = self._is_workflow_agent()
+        return self._target.notify_user_input_required(**kwargs)
+
     async def get_input(self, *args, **kwargs):
         """Get input for this specific coder via per-coder queue.
 
@@ -310,6 +326,20 @@ def __setattr__(self, name: str, value: Any) -> None:
         else:
             setattr(self._target, name, value)
 
+    def _is_workflow_agent(self) -> bool:
+        """Return True if the proxied coder is a workflow (wf:*) sub-agent."""
+        _ref = getattr(self, "_coder", None)
+        coder = _ref() if _ref is not None else None
+        if coder is None:
+            return False
+        try:
+            from cecli.helpers.agents.service import AgentService
+
+            name = AgentService.get_agent_name(coder)
+            return name is not None and name.startswith("wf:")
+        except Exception:
+            return False
+
 
 # --- THE TYPE HINTING TRICK ---
 # At type-checking time, make IOProxy(target, coder) appear to return
diff --git a/cecli/helpers/server/acp/agent/io.py b/cecli/helpers/server/acp/agent/io.py
index 074b45e2421..2ba3265006b 100644
--- a/cecli/helpers/server/acp/agent/io.py
+++ b/cecli/helpers/server/acp/agent/io.py
@@ -194,8 +194,8 @@ def display_user_input(self, inp):
     def rule(self):
         pass
 
-    def ring_bell(self):
+    def ring_bell(self, **kwargs):
         pass
 
-    def notify_user_input_required(self):
+    def notify_user_input_required(self, **kwargs):
         pass
diff --git a/cecli/helpers/workflows/config.py b/cecli/helpers/workflows/config.py
index 8b49b955744..1a8ad8839fa 100644
--- a/cecli/helpers/workflows/config.py
+++ b/cecli/helpers/workflows/config.py
@@ -14,6 +14,7 @@
 4. ``<git_root or cwd>/.agents/workflows/*.yml`` / ``*.yaml`` — globbed in stable sorted order.
 5. ``merged_config["workflows"]`` — the deep-merged ``.cecli.conf.yml`` value.
 6. ``~/.cecli/workflows/*.yml`` / ``*.yaml`` — globbed in stable sorted order.
+7. ``~/.agents/workflows/*.yml`` / ``*.yaml`` — globbed in stable sorted order.
 
 Each source may hold a single workflow mapping or a ``workflows: [...]`` list.
 On a duplicate ``name`` the higher-precedence definition wins and the loser is
@@ -104,6 +105,7 @@ def resolve_workflow_configs(
         ordered += _entries(merged_config.get("workflows"), None, _CONFIG_LABEL)
 
     ordered += _entries_from_home()
+    ordered += _entries_from_home_agents()
 
     return _dedupe(ordered)
 
@@ -315,6 +317,12 @@ def _entries_from_home() -> List[_Discovered]:
     return _entries_from_dir(Path.home() / WORKFLOW_DIR)
 
 
+def _entries_from_home_agents() -> List[_Discovered]:
+    """Resolve ``~/.agents/workflows/*.yml|*.yaml`` in stable sorted order."""
+
+    return _entries_from_dir(Path.home() / AGENTS_WORKFLOW_DIR)
+
+
 def _entries_from_dir(root: Path) -> List[_Discovered]:
     """Resolve ``*.yml`` / ``*.yaml`` files under *root* in stable sorted order."""
     if not root.is_dir():
diff --git a/cecli/io.py b/cecli/io.py
index 58829863a4a..e4d55eb45da 100644
--- a/cecli/io.py
+++ b/cecli/io.py
@@ -1891,13 +1891,18 @@ def _send_notification(self):
                 except Exception as e:
                     self.tool_warning(f"Failed to run bell command: {e}")
 
-    def notify_user_input_required(self):
+    def notify_user_input_required(self, **kwargs):
         """Send a notification that user input is required."""
+        if kwargs.get("is_workflow", False):
+            return
         if self.notifications or self.notification_bell or self.custom_notification_command:
             self._send_notification()
 
-    def ring_bell(self):
-        """Ring the terminal bell if needed and clear the flag"""
+    def ring_bell(self, **kwargs):
+        """Ring the terminal bell if needed and clear the flag."""
+        if kwargs.get("is_workflow", False):
+            self.bell_on_next_input = False
+            return
         if self.bell_on_next_input:
             if self.notifications or self.notification_bell or self.custom_notification_command:
                 self._send_notification()
diff --git a/cecli/main.py b/cecli/main.py
index 42554098805..d3868efb74d 100644
--- a/cecli/main.py
+++ b/cecli/main.py
@@ -1356,7 +1356,9 @@ def get_io(pretty):
         coder = await Coder.create(
             from_coder=from_coder,
             main_model=main_model,
-            edit_format=args.edit_format,
+            # Agent mode is the startup default; an explicit flag/config/env value
+            # still wins, and reloads keep the session's current mode.
+            edit_format=args.edit_format or "agent",
             io=io,
             args=args,
             repo=repo,
diff --git a/cecli/resources/model-metadata.ext.json b/cecli/resources/model-metadata.ext.json
index 1774ca20027..c57a81d1ed6 100644
--- a/cecli/resources/model-metadata.ext.json
+++ b/cecli/resources/model-metadata.ext.json
@@ -1016,5 +1016,16 @@
     "supports_tool_choice": true,
     "supports_vision": true,
     "supports_web_search": true
+  },
+  "agnes/agnes-3.0-flash": {
+    "max_tokens": 65536,
+    "max_input_tokens": 512000,
+    "max_output_tokens": 65536,
+    "input_cost_per_token": 0,
+    "output_cost_per_token": 0,
+    "litellm_provider": "openai",
+    "mode": "chat",
+    "source": "https://agnes-ai.com/en/docs/agnes-30-flash"
   }
 }
+
diff --git a/cecli/resources/model-metadata.json b/cecli/resources/model-metadata.json
index ba611d4cfd7..a054515262b 100644
--- a/cecli/resources/model-metadata.json
+++ b/cecli/resources/model-metadata.json
@@ -1,4 +1,14 @@
 {
+  "agnes/agnes-3.0-flash": {
+    "max_tokens": 65536,
+    "max_input_tokens": 512000,
+    "max_output_tokens": 65536,
+    "input_cost_per_token": 0,
+    "output_cost_per_token": 0,
+    "litellm_provider": "openai",
+    "mode": "chat",
+    "source": "https://agnes-ai.com/en/docs/agnes-30-flash"
+  },
   "ai21.j2-mid-v1": {
     "input_cost_per_token": 0.0000125,
     "litellm_provider": "bedrock",
@@ -24,22 +34,22 @@
     "input_cost_per_token": 0.000002,
     "litellm_provider": "bedrock",
     "max_input_tokens": 256000,
-    "max_output_tokens": 256000,
-    "max_tokens": 256000,
+    "max_output_tokens": 4096,
+    "max_tokens": 4096,
     "mode": "chat",
     "output_cost_per_token": 0.000008,
-    "source": "https://aws.amazon.com/bedrock/pricing/"
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-ai21-labs-jamba-1-5-large.md"
   },
   "ai21.jamba-1-5-mini-v1:0": {
     "deprecation_date": "2026-11-26",
     "input_cost_per_token": 2e-7,
     "litellm_provider": "bedrock",
     "max_input_tokens": 256000,
-    "max_output_tokens": 256000,
-    "max_tokens": 256000,
+    "max_output_tokens": 4096,
+    "max_tokens": 4096,
     "mode": "chat",
     "output_cost_per_token": 4e-7,
-    "source": "https://aws.amazon.com/bedrock/pricing/"
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-ai21-labs-jamba-1-5-mini.md"
   },
   "ai21.jamba-instruct-v1:0": {
     "input_cost_per_token": 5e-7,
@@ -1233,13 +1243,19 @@
   },
   "amazon.nova-2-lite-v1:0": {
     "cache_read_input_token_cost": 7.5e-8,
+    "cache_read_input_token_cost_priority": 1.3125e-7,
     "input_cost_per_token": 3e-7,
+    "input_cost_per_token_batches": 1.5e-7,
+    "input_cost_per_token_priority": 5.25e-7,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 1000000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
     "output_cost_per_token": 0.0000025,
+    "output_cost_per_token_batches": 0.00000125,
+    "output_cost_per_token_priority": 0.000004375,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -1254,13 +1270,17 @@
     "input_cost_per_token": 0.00000125,
     "input_cost_per_image_token": 0.00000125,
     "input_cost_per_audio_token": 0.00000125,
+    "input_cost_per_token_batches": 6.25e-7,
+    "input_cost_per_token_priority": 0.0000021875,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 1000000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
     "output_cost_per_token": 0.00001,
-    "source": "https://aws.amazon.com/nova/pricing/",
+    "output_cost_per_token_batches": 0.000005,
+    "output_cost_per_token_priority": 0.0000175,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -1273,12 +1293,15 @@
   "amazon.nova-lite-v1:0": {
     "cache_read_input_token_cost": 1.5e-8,
     "input_cost_per_token": 6e-8,
+    "input_cost_per_token_batches": 3e-8,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 300000,
     "max_output_tokens": 10000,
     "max_tokens": 10000,
     "mode": "chat",
     "output_cost_per_token": 2.4e-7,
+    "output_cost_per_token_batches": 1.2e-7,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -1289,26 +1312,60 @@
   "amazon.nova-micro-v1:0": {
     "cache_read_input_token_cost": 8.75e-9,
     "input_cost_per_token": 3.5e-8,
+    "input_cost_per_token_batches": 1.75e-8,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 128000,
     "max_output_tokens": 10000,
     "max_tokens": 10000,
     "mode": "chat",
     "output_cost_per_token": 1.4e-7,
+    "output_cost_per_token_batches": 7e-8,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_prompt_caching": true,
     "supports_response_schema": true,
     "supports_tool_choice": true
   },
+  "amazon.nova-premier-v1:0": {
+    "cache_read_input_token_cost": 6.25e-7,
+    "cache_read_input_token_cost_priority": 0.00000109375,
+    "input_cost_per_token": 0.0000025,
+    "input_cost_per_token_batches": 0.00000125,
+    "input_cost_per_token_priority": 0.000004375,
+    "litellm_provider": "bedrock_converse",
+    "max_input_tokens": 1000000,
+    "max_output_tokens": 10000,
+    "max_tokens": 10000,
+    "mode": "chat",
+    "output_cost_per_token": 0.0000125,
+    "output_cost_per_token_batches": 0.00000625,
+    "output_cost_per_token_priority": 0.000021875,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
+    "supports_function_calling": true,
+    "supports_pdf_input": true,
+    "supports_prompt_caching": true,
+    "supports_response_schema": true,
+    "supports_tool_choice": true,
+    "supports_vision": true
+  },
   "amazon.nova-pro-v1:0": {
     "cache_read_input_token_cost": 2e-7,
+    "cache_read_input_token_cost_flex": 1e-7,
+    "cache_read_input_token_cost_priority": 3.5e-7,
     "input_cost_per_token": 8e-7,
+    "input_cost_per_token_batches": 4e-7,
+    "input_cost_per_token_flex": 4e-7,
+    "input_cost_per_token_priority": 0.0000014,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 300000,
     "max_output_tokens": 10000,
     "max_tokens": 10000,
     "mode": "chat",
     "output_cost_per_token": 0.0000032,
+    "output_cost_per_token_batches": 0.0000016,
+    "output_cost_per_token_flex": 0.0000016,
+    "output_cost_per_token_priority": 0.0000056,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -1317,22 +1374,22 @@
     "supports_tool_choice": true
   },
   "amazon.titan-text-express-v1": {
-    "input_cost_per_token": 0.0000013,
+    "input_cost_per_token": 2e-7,
     "litellm_provider": "bedrock",
     "max_input_tokens": 42000,
     "max_output_tokens": 8000,
     "max_tokens": 8000,
     "mode": "chat",
-    "output_cost_per_token": 0.0000017
+    "output_cost_per_token": 6e-7
   },
   "amazon.titan-text-lite-v1": {
-    "input_cost_per_token": 3e-7,
+    "input_cost_per_token": 1.5e-7,
     "litellm_provider": "bedrock",
     "max_input_tokens": 42000,
     "max_output_tokens": 4000,
     "max_tokens": 4000,
     "mode": "chat",
-    "output_cost_per_token": 4e-7
+    "output_cost_per_token": 2e-7
   },
   "amazon.titan-text-premier-v1:0": {
     "input_cost_per_token": 5e-7,
@@ -1364,7 +1421,7 @@
   "anthropic.claude-3-5-sonnet-20240620-v1:0": {
     "input_cost_per_token": 0.000003,
     "litellm_provider": "bedrock",
-    "max_input_tokens": 1000000,
+    "max_input_tokens": 200000,
     "max_output_tokens": 4096,
     "max_tokens": 4096,
     "mode": "chat",
@@ -1374,10 +1431,6 @@
     "supports_response_schema": true,
     "supports_tool_choice": true,
     "supports_vision": true,
-    "input_cost_per_token_above_200k_tokens": 0.000006,
-    "output_cost_per_token_above_200k_tokens": 0.00003,
-    "cache_creation_input_token_cost_above_200k_tokens": 0.0000075,
-    "cache_read_input_token_cost_above_200k_tokens": 6e-7,
     "cache_creation_input_token_cost": 0.00000375,
     "cache_read_input_token_cost": 3e-7
   },
@@ -1386,7 +1439,7 @@
     "cache_read_input_token_cost": 3e-7,
     "input_cost_per_token": 0.000003,
     "litellm_provider": "bedrock",
-    "max_input_tokens": 1000000,
+    "max_input_tokens": 200000,
     "max_output_tokens": 8192,
     "max_tokens": 8192,
     "mode": "chat",
@@ -1398,11 +1451,7 @@
     "supports_prompt_caching": true,
     "supports_response_schema": true,
     "supports_tool_choice": true,
-    "supports_vision": true,
-    "input_cost_per_token_above_200k_tokens": 0.000006,
-    "output_cost_per_token_above_200k_tokens": 0.00003,
-    "cache_creation_input_token_cost_above_200k_tokens": 0.0000075,
-    "cache_read_input_token_cost_above_200k_tokens": 6e-7
+    "supports_vision": true
   },
   "anthropic.claude-3-7-sonnet-20240620-v1:0": {
     "cache_creation_input_token_cost": 0.0000045,
@@ -1489,7 +1538,7 @@
     "supports_tool_choice": true,
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
-    "supports_native_structured_output": true,
+    "supports_native_structured_output": false,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -1603,6 +1652,10 @@
     "cache_read_input_token_cost": 1e-8,
     "input_cost_per_token": 1e-7,
     "litellm_provider": "bedrock_converse",
+    "token_count_model": {
+      "model": "anthropic.claude-opus-5-5",
+      "region": "us-east-1"
+    },
     "supports_tool_search": true,
     "max_input_tokens": 1000000,
     "max_output_tokens": 128000,
@@ -1628,6 +1681,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -1892,6 +1946,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -1987,7 +2042,7 @@
     "cache_creation_input_token_cost_above_200k_tokens": 0.0000075,
     "cache_read_input_token_cost_above_200k_tokens": 6e-7,
     "litellm_provider": "bedrock_converse",
-    "max_input_tokens": 1000000,
+    "max_input_tokens": 200000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
@@ -2013,13 +2068,14 @@
   "anthropic.claude-sonnet-4-5-20250929-v1:0": {
     "cache_creation_input_token_cost": 0.00000375,
     "cache_creation_input_token_cost_above_1hr": 0.000006,
+    "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 0.000012,
     "cache_read_input_token_cost": 3e-7,
     "input_cost_per_token": 0.000003,
     "input_cost_per_token_above_200k_tokens": 0.000006,
     "output_cost_per_token_above_200k_tokens": 0.0000225,
     "cache_creation_input_token_cost_above_200k_tokens": 0.0000075,
-    "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 0.000012,
     "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+    "deprecation_date": "2027-04-08",
     "litellm_provider": "bedrock_converse",
     "supports_tool_search": true,
     "max_input_tokens": 200000,
@@ -2067,7 +2123,7 @@
       "search_context_size_low": 0.01,
       "search_context_size_medium": 0.01
     },
-    "supports_assistant_prefill": true,
+    "supports_assistant_prefill": false,
     "supports_computer_use": true,
     "supports_function_calling": true,
     "supports_pdf_input": true,
@@ -2115,6 +2171,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2129,6 +2186,10 @@
     "cache_read_input_token_cost": 1e-7,
     "input_cost_per_token": 0.000002,
     "litellm_provider": "bedrock_converse",
+    "token_count_model": {
+      "model": "anthropic.claude-opus-5-5",
+      "region": "us-east-1"
+    },
     "supports_tool_search": true,
     "max_input_tokens": 1000000,
     "max_output_tokens": 128000,
@@ -2154,6 +2215,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2301,14 +2363,14 @@
     "supports_function_calling": true
   },
   "apac.amazon.nova-2-lite-v1:0": {
-    "cache_read_input_token_cost": 8.25e-8,
-    "input_cost_per_token": 3.3e-7,
+    "cache_read_input_token_cost": 9.9e-8,
+    "input_cost_per_token": 3.96e-7,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 1000000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
-    "output_cost_per_token": 0.00000275,
+    "output_cost_per_token": 0.000003311,
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -2371,13 +2433,16 @@
   },
   "apac.amazon.nova-pro-v1:0": {
     "cache_read_input_token_cost": 2.1e-7,
+    "cache_read_input_token_cost_flex": 1.05e-7,
     "input_cost_per_token": 8.4e-7,
+    "input_cost_per_token_flex": 4.2e-7,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 300000,
     "max_output_tokens": 10000,
     "max_tokens": 10000,
     "mode": "chat",
     "output_cost_per_token": 0.00000336,
+    "output_cost_per_token_flex": 0.00000168,
     "supports_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -2405,7 +2470,7 @@
     "supports_tool_choice": true,
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
-    "supports_native_structured_output": true,
+    "supports_native_structured_output": false,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2472,6 +2537,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2561,6 +2627,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2651,7 +2718,7 @@
     "cache_creation_input_token_cost_above_200k_tokens": 0.0000075,
     "cache_read_input_token_cost_above_200k_tokens": 6e-7,
     "litellm_provider": "bedrock_converse",
-    "max_input_tokens": 1000000,
+    "max_input_tokens": 200000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
@@ -2683,7 +2750,7 @@
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
-    "supports_assistant_prefill": true,
+    "supports_assistant_prefill": false,
     "supports_computer_use": true,
     "supports_function_calling": true,
     "supports_pdf_input": true,
@@ -2726,6 +2793,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2760,6 +2828,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2794,7 +2863,7 @@
     "supports_tool_choice": true,
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
-    "supports_native_structured_output": true,
+    "supports_native_structured_output": false,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -2836,6 +2905,10 @@
     "source": "https://aws.amazon.com/bedrock/pricing/"
   },
   "au.anthropic.claude-haiku-5-5": {
+    "token_count_model": {
+      "model": "au.anthropic.claude-opus-5-5",
+      "region": "ap-southeast-4"
+    },
     "input_cost_per_token_above_100k_tokens": 5.5e-7,
     "output_cost_per_token_above_100k_tokens": 0.00000275,
     "cache_creation_input_token_cost_above_100k_tokens": 6.875e-7,
@@ -2872,6 +2945,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -3007,6 +3081,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -3102,6 +3177,7 @@
     "cache_creation_input_token_cost_above_200k_tokens": 0.00000825,
     "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 0.0000132,
     "cache_read_input_token_cost_above_200k_tokens": 6.6e-7,
+    "deprecation_date": "2027-04-08",
     "litellm_provider": "bedrock_converse",
     "supports_tool_search": true,
     "max_input_tokens": 200000,
@@ -3149,7 +3225,7 @@
       "search_context_size_low": 0.01,
       "search_context_size_medium": 0.01
     },
-    "supports_assistant_prefill": true,
+    "supports_assistant_prefill": false,
     "supports_computer_use": true,
     "supports_function_calling": true,
     "supports_pdf_input": true,
@@ -3197,6 +3273,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -3205,6 +3282,10 @@
     "source": "https://aws.amazon.com/bedrock/pricing/"
   },
   "au.anthropic.claude-sonnet-5-5": {
+    "token_count_model": {
+      "model": "au.anthropic.claude-opus-5-5",
+      "region": "ap-southeast-4"
+    },
     "bedrock_converse_supports_strict_tools": false,
     "cache_creation_input_token_cost": 0.00000275,
     "cache_creation_input_token_cost_above_1hr": 0.0000044,
@@ -3236,6 +3317,7 @@
     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": true,
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     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -3282,7 +3364,7 @@
     "supports_max_reasoning_effort": true,
     "supports_minimal_reasoning_effort": false,
     "supports_native_streaming": true,
-    "supports_none_reasoning_effort": true,
+    "supports_none_reasoning_effort": false,
     "supports_parallel_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -4465,7 +4547,7 @@
     "supports_max_reasoning_effort": true,
     "supports_minimal_reasoning_effort": false,
     "supports_native_streaming": true,
-    "supports_none_reasoning_effort": true,
+    "supports_none_reasoning_effort": false,
     "supports_parallel_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -4853,38 +4935,41 @@
     "supports_tool_choice": true
   },
   "azure/gpt-4-turbo": {
-    "input_cost_per_token": 0.00001,
+    "input_cost_per_token": 0.000011,
     "litellm_provider": "azure",
     "max_input_tokens": 128000,
     "max_output_tokens": 4096,
     "max_tokens": 4096,
     "mode": "chat",
-    "output_cost_per_token": 0.00003,
+    "output_cost_per_token": 0.000033,
+    "source": "https://azure.microsoft.com/en-us/pricing/details/azure-openai/",
     "supports_function_calling": true,
     "supports_parallel_function_calling": true,
     "supports_tool_choice": true
   },
   "azure/gpt-4-turbo-2024-04-09": {
-    "input_cost_per_token": 0.00001,
+    "input_cost_per_token": 0.000011,
     "litellm_provider": "azure",
     "max_input_tokens": 128000,
     "max_output_tokens": 4096,
     "max_tokens": 4096,
     "mode": "chat",
-    "output_cost_per_token": 0.00003,
+    "output_cost_per_token": 0.000033,
+    "source": "https://azure.microsoft.com/en-us/pricing/details/azure-openai/",
     "supports_function_calling": true,
     "supports_parallel_function_calling": true,
     "supports_tool_choice": true,
     "supports_vision": true
   },
   "azure/gpt-4-turbo-vision-preview": {
-    "input_cost_per_token": 0.00001,
+    "input_cost_per_token": 0.000011,
     "litellm_provider": "azure",
     "max_input_tokens": 128000,
     "max_output_tokens": 4096,
     "max_tokens": 4096,
     "mode": "chat",
-    "output_cost_per_token": 0.00003,
+    "output_cost_per_token": 0.000033,
+    "source": "https://azure.microsoft.com/en-us/pricing/details/azure-openai/",
     "supports_tool_choice": true,
     "supports_vision": true
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@@ -7078,7 +7163,7 @@
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     "supports_minimal_reasoning_effort": false,
     "supports_native_streaming": true,
-    "supports_none_reasoning_effort": true,
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@@ -7127,7 +7212,7 @@
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     "supports_minimal_reasoning_effort": false,
     "supports_native_streaming": true,
-    "supports_none_reasoning_effort": true,
+    "supports_none_reasoning_effort": false,
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@@ -7336,7 +7421,7 @@
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@@ -7538,45 +7623,6 @@
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@@ -7611,70 +7657,6 @@
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@@ -8988,7 +8970,7 @@
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     "supports_minimal_reasoning_effort": false,
     "supports_native_streaming": true,
-    "supports_none_reasoning_effort": true,
+    "supports_none_reasoning_effort": false,
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@@ -9002,7 +8984,7 @@
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@@ -10220,6 +10202,43 @@
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   },
+  "azure_ai/claude-opus-5-5-fast": {
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+    "cache_creation_input_token_cost_above_1hr": 0.000016,
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+    "supports_assistant_prefill": false,
+    "supports_computer_use": true,
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+    "supports_mid_conversation_system": true,
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+    "supports_pdf_input": true,
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+    "supports_xhigh_reasoning_effort": true,
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   "azure_ai/claude-sonnet-4-5": {
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@@ -10258,7 +10277,7 @@
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@@ -11054,7 +11073,7 @@
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@@ -11069,7 +11088,7 @@
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@@ -11417,6 +11436,7 @@
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   "azure_ai/ministral-3b": {
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@@ -11480,6 +11500,7 @@
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   "azure_ai/mistral-medium-2505": {
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@@ -11536,6 +11557,7 @@
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   "azure_ai/mistral-small-2503": {
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@@ -11657,13 +11679,47 @@
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@@ -11674,6 +11730,24 @@
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+  "baseten/meta-models/muse-spark-open": {
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     "litellm_provider": "baseten",
@@ -11760,6 +11834,23 @@
     "supports_tool_choice": true,
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+  "baseten/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B": {
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     "litellm_provider": "baseten",
@@ -11783,6 +11874,22 @@
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+  "baseten/reflection/Beam-1.0": {
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@@ -12075,12 +12182,14 @@
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   "bedrock/ap-northeast-1/deepseek.v3.2": {
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@@ -12088,32 +12197,36 @@
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-    "source": "https://aws.amazon.com/bedrock/pricing/"
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-deepseek-deepseek-v3-2.html"
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   "bedrock/ap-northeast-1/minimax.minimax-m2.1": {
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-minimax-minimax-m2-1.html"
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   "bedrock/ap-northeast-1/minimax.minimax-m2.5": {
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@@ -12121,43 +12234,52 @@
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-moonshot-ai-kimi-k2-5.html"
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   "bedrock/ap-northeast-1/qwen.qwen3-coder-next": {
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@@ -12184,12 +12306,14 @@
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@@ -12197,50 +12321,58 @@
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-    "source": "https://aws.amazon.com/bedrock/pricing/"
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-deepseek-deepseek-v3-2.html"
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@@ -12530,29 +12688,33 @@
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@@ -20262,6 +20858,16 @@
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@@ -21325,6 +21931,40 @@
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@@ -22463,14 +23103,15 @@
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     "litellm_provider": "openai",
@@ -28050,9 +28748,15 @@
   "gemini-3-flash-preview": {
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     "cache_read_input_token_cost": 5e-8,
-    "cache_read_input_token_cost_flex": 5e-8,
+    "cache_read_input_token_cost_priority": 9e-8,
+    "google_maps_grounding_cost_per_query": 0.014,
     "input_cost_per_audio_token": 0.000001,
+    "input_cost_per_audio_token_batches": 5e-7,
+    "input_cost_per_audio_token_priority": 0.0000018,
     "input_cost_per_token": 5e-7,
+    "input_cost_per_token_batches": 2.5e-7,
+    "input_cost_per_token_flex": 2.5e-7,
+    "input_cost_per_token_priority": 9e-7,
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     "max_input_tokens": 1048576,
     "max_output_tokens": 65535,
@@ -28060,6 +28764,14 @@
     "mode": "chat",
     "output_cost_per_reasoning_token": 0.000003,
     "output_cost_per_token": 0.000003,
+    "output_cost_per_token_batches": 0.0000015,
+    "output_cost_per_token_flex": 0.0000015,
+    "output_cost_per_token_priority": 0.0000054,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
     "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
     "supported_endpoints": [
       "/v1/chat/completions",
@@ -28077,6 +28789,7 @@
     ],
     "supports_audio_output": false,
     "supports_function_calling": true,
+    "supports_native_streaming": true,
     "supports_parallel_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
@@ -28087,23 +28800,7 @@
     "supports_url_context": true,
     "supports_vision": true,
     "supports_web_search": true,
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-    "input_cost_per_token_flex": 2.5e-7,
-    "output_cost_per_token_batches": 0.0000015,
-    "output_cost_per_token_flex": 0.0000015
+    "web_search_billing_unit": "per_query"
   },
   "gemini-3-pro-image": {
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@@ -28465,22 +29162,36 @@
     "google_maps_grounding_cost_per_query": 0.014
   },
   "gemini-3.1-pro-preview": {
-    "prompt_cache_min_tokens": 4096,
+    "cache_creation_input_token_cost_above_200k_tokens": 2.5e-7,
     "cache_read_input_token_cost": 2e-7,
     "cache_read_input_token_cost_above_200k_tokens": 4e-7,
-    "cache_creation_input_token_cost_above_200k_tokens": 2.5e-7,
+    "cache_read_input_token_cost_above_200k_tokens_priority": 7.2e-7,
+    "cache_read_input_token_cost_priority": 3.6e-7,
+    "google_maps_grounding_cost_per_query": 0.014,
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     "input_cost_per_token_above_200k_tokens": 0.000004,
+    "input_cost_per_token_above_200k_tokens_priority": 0.0000072,
     "input_cost_per_token_batches": 0.000001,
+    "input_cost_per_token_flex": 0.000001,
+    "input_cost_per_token_priority": 0.0000036,
     "litellm_provider": "vertex_ai-language-models",
     "max_input_tokens": 1048576,
     "max_output_tokens": 65536,
     "max_tokens": 65536,
     "mode": "chat",
+    "output_cost_per_image": 0.00012,
     "output_cost_per_token": 0.000012,
     "output_cost_per_token_above_200k_tokens": 0.000018,
+    "output_cost_per_token_above_200k_tokens_priority": 0.0000324,
     "output_cost_per_token_batches": 0.000006,
-    "output_cost_per_image": 0.00012,
+    "output_cost_per_token_flex": 0.000006,
+    "output_cost_per_token_priority": 0.0000216,
+    "prompt_cache_min_tokens": 4096,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
     "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
     "supported_endpoints": [
       "/v1/chat/completions",
@@ -28498,33 +29209,18 @@
     ],
     "supports_audio_input": true,
     "supports_function_calling": true,
+    "supports_native_streaming": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
     "supports_reasoning": true,
     "supports_response_schema": true,
     "supports_system_messages": true,
     "supports_tool_choice": true,
+    "supports_url_context": true,
     "supports_video_input": true,
     "supports_vision": true,
     "supports_web_search": true,
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-    "google_maps_grounding_cost_per_query": 0.014,
-    "input_cost_per_token_flex": 0.000001,
-    "output_cost_per_token_flex": 0.000006
+    "web_search_billing_unit": "per_query"
   },
   "gemini-3.1-pro-preview-customtools": {
     "prompt_cache_min_tokens": 4096,
@@ -28819,6 +29515,7 @@
   },
   "gemini-3.8-flash": {
     "prompt_cache_min_tokens": 4096,
+    "deprecation_date": "2027-09-02",
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     "cache_read_input_token_cost_batches": 3.75e-8,
     "cache_read_input_token_cost_flex": 3.75e-8,
@@ -29091,10 +29788,12 @@
   "gemini-nano-banana-2.1": {
     "cache_read_input_token_cost": 1.5e-7,
     "cache_read_input_token_cost_batches": 7.5e-8,
+    "cache_read_input_token_cost_flex": 7.5e-8,
     "cache_read_input_token_cost_priority": 2.7e-7,
     "input_cost_per_image": 0.00168,
     "input_cost_per_token": 0.0000015,
     "input_cost_per_token_batches": 7.5e-7,
+    "input_cost_per_token_flex": 7.5e-7,
     "input_cost_per_token_priority": 0.0000027,
     "litellm_provider": "vertex_ai-language-models",
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@@ -29105,6 +29804,7 @@
     "output_cost_per_image_token": 0.00003,
     "output_cost_per_token": 0.0000075,
     "output_cost_per_token_batches": 0.00000375,
+    "output_cost_per_token_flex": 0.00000375,
     "output_cost_per_token_priority": 0.0000135,
     "search_context_cost_per_query": {
       "search_context_size_low": 0.014,
@@ -29267,6 +29967,56 @@
     "supports_url_context": true,
     "supports_vision": true
   },
+  "gemini-robotics-er-2-preview": {
+    "cache_read_input_token_cost": 1e-7,
+    "cache_read_input_token_cost_batches": 5e-8,
+    "input_cost_per_audio_token": 0.000001,
+    "input_cost_per_token": 0.000001,
+    "input_cost_per_token_batches": 5e-7,
+    "litellm_provider": "vertex_ai-language-models",
+    "max_input_tokens": 131072,
+    "max_output_tokens": 65536,
+    "max_tokens": 65536,
+    "mode": "chat",
+    "output_cost_per_reasoning_token": 0.000005,
+    "output_cost_per_token": 0.000005,
+    "output_cost_per_token_batches": 0.0000025,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
+    "source": "https://ai.google.dev/gemini-api/docs/pricing",
+    "supported_endpoints": [
+      "/v1/chat/completions",
+      "/v1/completions",
+      "/v1/batch"
+    ],
+    "supported_modalities": [
+      "text",
+      "image",
+      "audio",
+      "video"
+    ],
+    "supported_output_modalities": [
+      "text"
+    ],
+    "supports_audio_input": true,
+    "supports_audio_output": false,
+    "supports_function_calling": true,
+    "supports_parallel_function_calling": true,
+    "supports_pdf_input": true,
+    "supports_prompt_caching": true,
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_system_messages": true,
+    "supports_tool_choice": true,
+    "supports_url_context": true,
+    "supports_video_input": true,
+    "supports_vision": true,
+    "supports_web_search": true,
+    "web_search_billing_unit": "per_query"
+  },
   "gemini/deep-research-max-preview-04-2026": {
     "input_cost_per_token": 0.000002,
     "input_cost_per_token_batches": 0.000001,
@@ -29342,6 +30092,7 @@
     }
   },
   "gemini/deep-research-pro-preview-12-2025": {
+    "deprecation_date": "2026-10-23",
     "input_cost_per_image": 0.0011,
     "input_cost_per_token": 0.000002,
     "input_cost_per_token_batches": 0.000001,
@@ -29351,9 +30102,13 @@
     "max_tokens": 65536,
     "mode": "chat",
     "output_cost_per_token": 0.000012,
-    "rpm": 1000,
-    "tpm": 4000000,
     "output_cost_per_token_batches": 0.000006,
+    "rpm": 1000,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.035,
+      "search_context_size_medium": 0.035,
+      "search_context_size_high": 0.035
+    },
     "source": "https://ai.google.dev/gemini-api/docs/models/deep-research-pro-preview-12-2025",
     "supported_endpoints": [
       "/v1/chat/completions",
@@ -29370,17 +30125,13 @@
       "text"
     ],
     "supports_function_calling": false,
+    "supports_pdf_input": true,
     "supports_prompt_caching": true,
     "supports_response_schema": true,
     "supports_system_messages": true,
     "supports_vision": true,
     "supports_web_search": true,
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-      "search_context_size_medium": 0.035,
-      "search_context_size_high": 0.035
-    },
-    "supports_pdf_input": true
+    "tpm": 4000000
   },
   "gemini/gemini-2.5-computer-use-preview-10-2025": {
     "deprecation_date": "2026-07-28",
@@ -29476,7 +30227,7 @@
   },
   "gemini/gemini-2.5-flash-image": {
     "cache_read_input_token_cost": 3e-8,
-    "deprecation_date": "2026-10-02",
+    "deprecation_date": "2027-03-15",
     "input_cost_per_audio_token": 0.000001,
     "input_cost_per_token": 3e-7,
     "input_cost_per_token_batches": 1.5e-7,
@@ -29652,6 +30403,7 @@
   },
   "gemini/gemini-2.5-pro-preview-tts": {
     "cache_read_input_token_cost": 1.25e-7,
+    "deprecation_date": "2026-11-17",
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     "input_cost_per_token": 0.000001,
     "input_cost_per_token_batches": 5e-7,
@@ -29846,7 +30598,6 @@
     "supports_reasoning": false
   },
   "gemini/gemini-3.1-flash-image": {
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@@ -29860,7 +30611,11 @@
     "output_cost_per_token": 0.000003,
     "output_cost_per_token_batches": 0.0000015,
     "rpm": 1000,
-    "tpm": 4000000,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
     "source": "https://ai.google.dev/gemini-api/docs/pricing",
     "supported_endpoints": [
       "/v1/chat/completions",
@@ -29876,19 +30631,15 @@
       "image"
     ],
     "supports_function_calling": false,
+    "supports_pdf_input": true,
     "supports_prompt_caching": false,
     "supports_reasoning": true,
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-      "search_context_size_high": 0.014
-    },
-    "web_search_billing_unit": "per_query",
-    "supports_pdf_input": true
+    "tpm": 4000000,
+    "web_search_billing_unit": "per_query"
   },
   "gemini/gemini-3.1-flash-image-preview": {
     "deprecation_date": "2026-06-25",
@@ -30527,6 +31278,66 @@
     "web_search_billing_unit": "per_query",
     "google_maps_grounding_cost_per_query": 0.014
   },
+  "gemini/gemini-4-argon": {
+    "cache_read_input_token_cost": 1e-7,
+    "cache_read_input_token_cost_batches": 5e-8,
+    "cache_read_input_token_cost_flex": 5e-8,
+    "cache_read_input_token_cost_priority": 1.8e-7,
+    "google_maps_grounding_cost_per_query": 0.014,
+    "input_cost_per_token": 0.000002,
+    "input_cost_per_token_batches": 0.000001,
+    "input_cost_per_token_flex": 0.000001,
+    "input_cost_per_token_priority": 0.0000036,
+    "litellm_provider": "gemini",
+    "max_input_tokens": 1048576,
+    "max_output_tokens": 1048576,
+    "max_tokens": 1048576,
+    "mode": "chat",
+    "output_cost_per_reasoning_token": 0.00001,
+    "output_cost_per_token": 0.00001,
+    "output_cost_per_token_batches": 0.000005,
+    "output_cost_per_token_flex": 0.000005,
+    "output_cost_per_token_priority": 0.000018,
+    "prompt_cache_min_tokens": 4096,
+    "rpm": 2000,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
+    "source": "https://ai.google.dev/gemini-api/docs/pricing",
+    "supported_endpoints": [
+      "/v1/chat/completions",
+      "/v1/completions"
+    ],
+    "supported_modalities": [
+      "text",
+      "image",
+      "audio",
+      "video"
+    ],
+    "supported_output_modalities": [
+      "text"
+    ],
+    "supports_audio_input": true,
+    "supports_audio_output": false,
+    "supports_function_calling": true,
+    "supports_minimal_reasoning_effort": false,
+    "supports_native_streaming": true,
+    "supports_parallel_function_calling": true,
+    "supports_pdf_input": true,
+    "supports_prompt_caching": true,
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_system_messages": true,
+    "supports_tool_choice": true,
+    "supports_url_context": true,
+    "supports_video_input": true,
+    "supports_vision": true,
+    "supports_web_search": true,
+    "tpm": 800000,
+    "web_search_billing_unit": "per_query"
+  },
   "gemini/gemini-exp-1114": {
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     "input_cost_per_token_above_128k_tokens": 0,
@@ -30827,7 +31638,7 @@
     "supports_video_input": true,
     "supports_vision": true,
     "tpm": 800000,
-    "deprecation_date": "2026-09-30"
+    "deprecation_date": "2026-10-22"
   },
   "gemini/gemini-pro-latest": {
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@@ -31307,32 +32118,50 @@
     "supports_vision": true
   },
   "github_copilot/claude-fable-5": {
+    "cache_creation_input_token_cost": 0.0000125,
+    "cache_read_input_token_cost": 0.000001,
+    "input_cost_per_token": 0.00001,
     "litellm_provider": "github_copilot",
-    "max_input_tokens": 128000,
-    "max_output_tokens": 16000,
-    "max_tokens": 16000,
+    "max_input_tokens": 200000,
+    "max_output_tokens": 64000,
+    "max_tokens": 64000,
     "mode": "chat",
-    "source": "https://docs.github.com/en/copilot/reference/ai-models/supported-models",
+    "output_cost_per_token": 0.00005,
+    "source": "https://raw.githubusercontent.com/github/docs/main/data/tables/copilot/models-and-pricing.yml",
     "supported_endpoints": [
-      "/v1/chat/completions"
+      "/v1/chat/completions",
+      "/v1/messages"
     ],
+    "supports_adaptive_thinking": true,
     "supports_function_calling": true,
     "supports_parallel_function_calling": true,
-    "supports_vision": true
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_vision": true,
+    "thinking_always_on": true
   },
   "github_copilot/claude-fable-5.1": {
+    "cache_creation_input_token_cost": 0.0000125,
+    "cache_read_input_token_cost": 2.5e-7,
+    "input_cost_per_token": 0.00001,
     "litellm_provider": "github_copilot",
-    "max_input_tokens": 128000,
-    "max_output_tokens": 16000,
-    "max_tokens": 16000,
+    "max_input_tokens": 200000,
+    "max_output_tokens": 64000,
+    "max_tokens": 64000,
     "mode": "chat",
-    "source": "https://docs.github.com/en/copilot/reference/ai-models/supported-models",
+    "output_cost_per_token": 0.00005,
+    "source": "https://raw.githubusercontent.com/github/docs/main/data/tables/copilot/models-and-pricing.yml",
     "supported_endpoints": [
-      "/v1/chat/completions"
+      "/v1/chat/completions",
+      "/v1/messages"
     ],
+    "supports_adaptive_thinking": true,
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     "supports_parallel_function_calling": true,
-    "supports_vision": true
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_vision": true,
+    "thinking_always_on": true
   },
   "github_copilot/claude-haiku-4.5": {
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@@ -31349,36 +32178,35 @@
     ],
     "supports_function_calling": true,
     "supports_parallel_function_calling": true,
+    "supports_reasoning": true,
     "supports_vision": true
   },
-  "github_copilot/claude-opus-4.5": {
+  "github_copilot/claude-haiku-5.5": {
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+    "cache_creation_input_token_cost_above_100k_tokens": 6.25e-7,
+    "cache_read_input_token_cost": 1e-8,
+    "cache_read_input_token_cost_above_100k_tokens": 5e-8,
+    "input_cost_per_token": 1e-7,
+    "input_cost_per_token_above_100k_tokens": 5e-7,
     "litellm_provider": "github_copilot",
     "max_input_tokens": 128000,
     "max_output_tokens": 16000,
     "max_tokens": 16000,
     "mode": "chat",
+    "output_cost_per_token": 5e-7,
+    "output_cost_per_token_above_100k_tokens": 0.0000025,
+    "source": "https://raw.githubusercontent.com/github/docs/main/data/tables/copilot/models-and-pricing.yml",
     "supported_endpoints": [
-      "/v1/chat/completions"
+      "/v1/chat/completions",
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-    "supports_parallel_function_calling": true,
-    "supports_vision": true,
-    "supports_output_config": true
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+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_vision": true,
+    "thinking_always_on": false
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@@ -31395,115 +32223,163 @@
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     "litellm_provider": "github_copilot",
@@ -31528,25 +32404,57 @@
     "supports_vision": true
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     "supports_parallel_function_calling": true,
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   "github_copilot/gpt-3.5-turbo": {
@@ -31669,21 +32577,6 @@
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@@ -31698,36 +32591,6 @@
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     "max_input_tokens": 128000,
@@ -31745,18 +32608,25 @@
     "supports_vision": true
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   "github_copilot/gpt-5.4": {
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@@ -31903,48 +32773,72 @@
     "supports_vision": true
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   "github_copilot/grok-4.5": {
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   "github_copilot/grok-4.6": {
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+  "github_copilot/grok-4.7": {
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     "max_output_tokens": 64000,
@@ -31958,37 +32852,23 @@
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-    "input_cost_per_token": 7.5e-7,
+  "github_copilot/kimi-k3": {
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+    "supports_vision": true
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   "github_copilot/mai-code-1.1-flash": {
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@@ -32020,13 +32900,19 @@
   },
   "global.amazon.nova-2-lite-v1:0": {
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     "max_input_tokens": 1000000,
     "max_output_tokens": 64000,
     "max_tokens": 64000,
     "mode": "chat",
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+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
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@@ -32066,7 +32952,7 @@
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     "supports_vision": true,
     "supports_xhigh_reasoning_effort": true,
-    "supports_native_structured_output": true,
+    "supports_native_structured_output": false,
     "supports_max_reasoning_effort": true,
     "supports_output_config": true,
     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -32153,6 +33039,10 @@
     "cache_read_input_token_cost": 1e-8,
     "input_cost_per_token": 1e-7,
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@@ -32178,6 +33068,7 @@
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@@ -32359,6 +33250,7 @@
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+    "token_count_model": {
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+      "region": "us-east-1"
+    },
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@@ -32621,6 +33519,7 @@
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-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-56-luna.html",
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@@ -32769,11 +33673,12 @@
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-56-sol.html",
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-56-terra.html",
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-    "supports_none_reasoning_effort": false,
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@@ -32998,6 +33916,17 @@
     "supports_video_input": true,
     "source": "https://aws.amazon.com/bedrock/pricing/"
   },
+  "global.twelvelabs.pegasus-1-5-v1:0": {
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+    "litellm_provider": "bedrock",
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+    "supports_video_input": true
+  },
   "global.xai.grok-4.6": {
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@@ -33028,6 +33957,11 @@
   },
   "global.xai.grok-4.7": {
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+    "supported_endpoints": [
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@@ -33035,14 +33969,14 @@
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-    "source": "https://b0.p.awsstatic.com/pricing/2.0/meteredUnitMaps/bedrock/USD/current/bedrock.json",
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-xai-grok-4-7.html",
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@@ -33249,14 +34183,21 @@
     "output_cost_per_token": 0.000002
   },
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@@ -33264,14 +34205,21 @@
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@@ -33279,14 +34227,21 @@
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-    "source": "https://aws.amazon.com/bedrock/pricing/",
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@@ -33485,6 +34440,7 @@
   "gpt-4.1-2025-04-14": {
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@@ -33571,6 +34527,7 @@
   "gpt-4.1-mini-2025-04-14": {
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+    "deprecation_date": "2027-01-14",
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@@ -33736,6 +34693,7 @@
   "gpt-4o-2024-08-06": {
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+    "deprecation_date": "2027-01-14",
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@@ -33760,6 +34718,7 @@
   "gpt-4o-2024-11-20": {
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@@ -33849,6 +34808,7 @@
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@@ -33919,6 +34879,34 @@
     "supports_vision": true,
     "supports_web_search": true
   },
+  "gpt-4o-mini-search-preview-2025-03-11": {
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+    "output_cost_per_token_batches": 3e-7,
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+    "supports_parallel_function_calling": true,
+    "supports_pdf_input": true,
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+    "supports_system_messages": true,
+    "supports_tool_choice": true,
+    "supports_vision": true,
+    "supports_web_search": true,
+    "source": "https://developers.openai.com/api/docs/models/gpt-4o-mini-search-preview"
+  },
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@@ -33945,6 +34933,34 @@
     "supports_vision": true,
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+  "gpt-4o-search-preview-2025-03-11": {
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+    "source": "https://developers.openai.com/api/docs/models/gpt-4o-search-preview"
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@@ -34551,6 +35567,7 @@
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@@ -34604,6 +35621,7 @@
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@@ -34727,336 +35745,341 @@
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@@ -35119,6 +36142,7 @@
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@@ -35138,6 +36162,15 @@
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@@ -35207,6 +36240,7 @@
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@@ -35320,6 +36354,7 @@
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@@ -35395,6 +36430,7 @@
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@@ -35469,6 +36505,7 @@
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@@ -35553,19 +36590,24 @@
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@@ -35588,7 +36632,9 @@
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@@ -35706,6 +36753,7 @@
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@@ -35934,6 +36991,44 @@
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@@ -35972,6 +37067,14 @@
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@@ -36598,17369 +37703,8093 @@
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+    "litellm_provider": "nscale",
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@@ -55025,12 +46792,14 @@
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@@ -55041,13 +46810,19 @@
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@@ -55056,13 +46831,17 @@
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@@ -55072,7 +46851,7 @@
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@@ -55085,16 +46864,22 @@
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@@ -55117,13 +46902,17 @@
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@@ -57540,14 +49329,14 @@
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@@ -57846,6 +49635,52 @@
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@@ -57987,6 +49822,21 @@
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@@ -58004,6 +49854,38 @@
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@@ -58402,7 +50284,7 @@
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@@ -58419,16 +50301,71 @@
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@@ -58443,6 +50380,255 @@
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@@ -58907,7 +51093,7 @@
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@@ -59135,6 +51320,7 @@
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@@ -59208,6 +51394,19 @@
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@@ -59330,6 +51529,23 @@
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@@ -59374,6 +51590,19 @@
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+  },
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@@ -59390,7 +51619,6 @@
     "supports_tool_choice": true
   },
   "together_ai/together/Tev1-4B-experimental": {
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     "max_input_tokens": 32768,
@@ -59521,6 +51749,17 @@
     "mode": "chat",
     "supports_video_input": true
   },
+  "twelvelabs.pegasus-1-5-v1:0": {
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+    "litellm_provider": "bedrock",
+    "max_input_tokens": 261120,
+    "max_output_tokens": 98304,
+    "max_tokens": 98304,
+    "mode": "chat",
+    "output_cost_per_token": 0.0000075,
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-twelvelabs-pegasus-v1-5.html",
+    "supports_video_input": true
+  },
   "us-gov.anthropic.claude-fable-5-1": {
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     "cache_creation_input_token_cost_above_1hr": 0.000024,
@@ -59585,6 +51824,7 @@
     "supports_max_reasoning_effort": true,
     "supports_mid_conversation_system": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": false,
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@@ -59619,6 +51859,7 @@
     "supports_max_reasoning_effort": true,
     "supports_mid_conversation_system": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": false,
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@@ -59752,6 +51993,7 @@
     "supports_max_reasoning_effort": true,
     "supports_mid_conversation_system": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": false,
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@@ -59788,6 +52030,7 @@
     "supports_max_reasoning_effort": true,
     "supports_mid_conversation_system": true,
     "supports_native_structured_output": false,
+    "supports_bedrock_native_structured_output": false,
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@@ -59800,6 +52043,7 @@
     "supports_xhigh_reasoning_effort": true
   },
   "us-gov.nvidia.nemotron-nano-12b-v2": {
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@@ -59807,6 +52051,7 @@
     "max_tokens": 8192,
     "mode": "chat",
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-nvidia-nvidia-nemotron-nano-12b-v2-vl-bf16.html",
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@@ -59831,6 +52076,7 @@
     "supports_vision": false
   },
   "us-gov.nvidia.nemotron-nano-9b-v2": {
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@@ -59838,6 +52084,7 @@
     "max_tokens": 8192,
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-nvidia-nvidia-nemotron-nano-9b-v2.html",
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@@ -59865,14 +52112,16 @@
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-    "max_output_tokens": 128000,
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     "supported_endpoints": [
       "/v1/chat/completions"
     ],
     "supports_bedrock_runtime_chat_completions_tools_with_reasoning": true,
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     "supports_reasoning": true,
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@@ -59882,14 +52131,16 @@
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-    "max_output_tokens": 128000,
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     "supported_endpoints": [
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     ],
     "supports_bedrock_runtime_chat_completions_tools_with_reasoning": true,
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@@ -59918,13 +52169,22 @@
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+    "cache_read_input_token_cost_flex": 4.125e-8,
+    "cache_read_input_token_cost_priority": 1.44375e-7,
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     "max_output_tokens": 64000,
     "max_tokens": 64000,
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@@ -59939,13 +52199,17 @@
     "input_cost_per_token": 0.000001375,
     "input_cost_per_image_token": 0.000001375,
     "input_cost_per_audio_token": 0.000001375,
+    "input_cost_per_token_batches": 6.875e-7,
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     "max_tokens": 64000,
     "mode": "chat",
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-    "source": "https://aws.amazon.com/nova/pricing/",
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     "supports_pdf_input": true,
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@@ -59958,12 +52222,15 @@
   "us.amazon.nova-lite-v1:0": {
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+    "input_cost_per_token_batches": 3e-8,
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     "max_output_tokens": 10000,
     "max_tokens": 10000,
     "mode": "chat",
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+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_pdf_input": true,
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@@ -59974,12 +52241,15 @@
   "us.amazon.nova-micro-v1:0": {
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@@ -59987,13 +52257,22 @@
   },
   "us.amazon.nova-pro-v1:0": {
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@@ -60119,7 +52398,7 @@
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@@ -60206,6 +52485,10 @@
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     "input_cost_per_token": 1.1e-7,
     "litellm_provider": "bedrock_converse",
+    "token_count_model": {
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+      "region": "us-east-1"
+    },
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@@ -60231,6 +52514,7 @@
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@@ -60519,6 +52803,7 @@
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     "supports_xhigh_reasoning_effort": true,
     "supports_native_structured_output": false,
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@@ -60614,7 +52899,7 @@
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@@ -60647,6 +52932,7 @@
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@@ -60694,7 +52980,7 @@
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@@ -60742,6 +53028,7 @@
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     "supports_native_structured_output": false,
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@@ -60756,6 +53043,10 @@
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     "litellm_provider": "bedrock_converse",
+    "token_count_model": {
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+      "region": "us-east-1"
+    },
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@@ -60781,6 +53072,7 @@
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     "bedrock_output_config_effort_ceiling": "xhigh",
@@ -60806,12 +53098,19 @@
   },
   "us.deepseek.v3.2": {
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     "max_output_tokens": 163840,
     "max_tokens": 163840,
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     "supports_reasoning": true,
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@@ -60821,6 +53120,7 @@
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   "us.meta.llama3-1-405b-instruct-v1:0": {
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@@ -60833,29 +53133,37 @@
     "supports_tool_choice": false
   },
   "us.meta.llama3-1-70b-instruct-v1:0": {
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-    "source": "https://b0.p.awsstatic.com/pricing/2.0/meteredUnitMaps/bedrock/USD/current/bedrock.json",
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+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_function_calling": true,
     "supports_tool_choice": false
   },
   "us.meta.llama3-1-8b-instruct-v1:0": {
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   },
   "us.meta.llama3-2-11b-instruct-v1:0": {
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@@ -60869,6 +53177,7 @@
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   },
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@@ -60876,10 +53185,12 @@
     "max_tokens": 4096,
     "mode": "chat",
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-3-2-1b-instruct.md",
     "supports_function_calling": true,
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   },
   "us.meta.llama3-2-3b-instruct-v1:0": {
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@@ -60887,10 +53198,12 @@
     "max_tokens": 4096,
     "mode": "chat",
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-3-2-3b-instruct.md",
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@@ -60904,26 +53217,32 @@
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     "supports_function_calling": true,
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   },
   "us.meta.llama4-maverick-17b-instruct-v1:0": {
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.md",
     "supported_modalities": [
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       "image"
@@ -60936,15 +53255,17 @@
     "supports_tool_choice": false
   },
   "us.meta.llama4-scout-17b-instruct-v1:0": {
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+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md",
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@@ -60960,11 +53281,11 @@
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-    "max_output_tokens": 4096,
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@@ -64110,6 +56501,7 @@
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     "web_search_billing_unit": "per_query",
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   },
-  "vertex_ai/gemini-3.8-flash": {
-    "prompt_cache_min_tokens": 4096,
-    "cache_read_input_token_cost": 7.5e-8,
-    "cache_read_input_token_cost_batches": 3.75e-8,
-    "cache_read_input_token_cost_flex": 3.75e-8,
-    "input_cost_per_token": 7.5e-7,
-    "input_cost_per_token_batches": 3.75e-7,
-    "input_cost_per_token_flex": 3.75e-7,
+  "vertex_ai/gemini-3.8-flash-cyber": {
+    "cache_read_input_token_cost": 1.5e-7,
+    "cache_read_input_token_cost_batches": 7.5e-8,
+    "cache_read_input_token_cost_flex": 7.5e-8,
+    "cache_read_input_token_cost_priority": 2.7e-7,
+    "input_cost_per_token": 0.0000015,
+    "input_cost_per_token_batches": 7.5e-7,
+    "input_cost_per_token_flex": 7.5e-7,
+    "input_cost_per_token_priority": 0.0000027,
     "litellm_provider": "vertex_ai",
     "max_input_tokens": 1048576,
     "max_output_tokens": 65536,
     "max_tokens": 65536,
     "mode": "chat",
-    "output_cost_per_reasoning_token": 0.00000375,
-    "output_cost_per_token": 0.00000375,
-    "output_cost_per_token_batches": 0.000001875,
-    "output_cost_per_token_flex": 0.000001875,
+    "output_cost_per_reasoning_token": 0.0000075,
+    "output_cost_per_token": 0.0000075,
+    "output_cost_per_token_batches": 0.00000375,
+    "output_cost_per_token_flex": 0.00000375,
+    "output_cost_per_token_priority": 0.0000135,
+    "regional_endpoint_uplift_multiplier": 1.1,
+    "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
+    "supported_endpoints": [
+      "/v1/chat/completions",
+      "/v1/completions"
+    ],
+    "supported_modalities": [
+      "text",
+      "image",
+      "audio",
+      "video"
+    ],
+    "supported_output_modalities": [
+      "text"
+    ],
+    "supports_audio_input": true,
+    "supports_function_calling": false,
+    "supports_pdf_input": true,
+    "supports_prompt_caching": true,
+    "supports_reasoning": true,
+    "supports_minimal_reasoning_effort": false,
+    "supports_response_schema": true,
+    "supports_system_messages": true,
+    "supports_tool_choice": false,
+    "supports_url_context": false,
+    "supports_video_input": true,
+    "supports_vision": true,
+    "supports_web_search": false,
+    "supports_native_streaming": true
+  },
+  "vertex_ai/gemini-4-argon": {
+    "deprecation_date": "2027-10-13",
+    "cache_read_input_token_cost": 1e-7,
+    "cache_read_input_token_cost_batches": 5e-8,
+    "cache_read_input_token_cost_flex": 5e-8,
+    "cache_read_input_token_cost_priority": 1.8e-7,
+    "google_maps_grounding_cost_per_query": 0.014,
+    "input_cost_per_audio_token": 0.000002,
+    "input_cost_per_audio_token_batches": 0.000001,
+    "input_cost_per_audio_token_priority": 0.0000036,
+    "input_cost_per_token": 0.000002,
+    "input_cost_per_token_batches": 0.000001,
+    "input_cost_per_token_flex": 0.000001,
+    "input_cost_per_token_priority": 0.0000036,
+    "litellm_provider": "vertex_ai",
+    "max_input_tokens": 1048576,
+    "max_output_tokens": 1048576,
+    "max_tokens": 1048576,
+    "mode": "chat",
+    "output_cost_per_reasoning_token": 0.00001,
+    "output_cost_per_token": 0.00001,
+    "output_cost_per_token_batches": 0.000005,
+    "output_cost_per_token_flex": 0.000005,
+    "output_cost_per_token_priority": 0.000018,
+    "prompt_cache_min_tokens": 6144,
     "regional_endpoint_uplift_multiplier": 1.1,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
     "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
     "supported_endpoints": [
       "/v1/chat/completions",
@@ -64872,11 +57369,12 @@
     ],
     "supports_audio_input": true,
     "supports_function_calling": true,
+    "supports_minimal_reasoning_effort": false,
+    "supports_native_streaming": true,
     "supports_parallel_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
     "supports_reasoning": true,
-    "supports_minimal_reasoning_effort": false,
     "supports_response_schema": true,
     "supports_system_messages": true,
     "supports_tool_choice": true,
@@ -64884,42 +57382,43 @@
     "supports_video_input": true,
     "supports_vision": true,
     "supports_web_search": true,
-    "supports_native_streaming": true,
-    "input_cost_per_token_priority": 0.00000135,
-    "output_cost_per_token_priority": 0.00000675,
-    "cache_read_input_token_cost_priority": 1.35e-7,
-    "search_context_cost_per_query": {
-      "search_context_size_low": 0.014,
-      "search_context_size_medium": 0.014,
-      "search_context_size_high": 0.014
-    },
-    "web_search_billing_unit": "per_query",
-    "google_maps_grounding_cost_per_query": 0.014
+    "web_search_billing_unit": "per_query"
   },
-  "vertex_ai/gemini-3.8-flash-cyber": {
-    "cache_read_input_token_cost": 1.5e-7,
-    "cache_read_input_token_cost_batches": 7.5e-8,
-    "cache_read_input_token_cost_flex": 7.5e-8,
-    "cache_read_input_token_cost_priority": 2.7e-7,
-    "input_cost_per_token": 0.0000015,
-    "input_cost_per_token_batches": 7.5e-7,
-    "input_cost_per_token_flex": 7.5e-7,
-    "input_cost_per_token_priority": 0.0000027,
+  "vertex_ai/gemini-4-argon-cyber-permissive": {
+    "cache_read_input_token_cost": 2e-7,
+    "cache_read_input_token_cost_batches": 1e-7,
+    "cache_read_input_token_cost_flex": 1e-7,
+    "cache_read_input_token_cost_priority": 3.6e-7,
+    "google_maps_grounding_cost_per_query": 0.014,
+    "input_cost_per_audio_token": 0.000004,
+    "input_cost_per_audio_token_batches": 0.000002,
+    "input_cost_per_audio_token_priority": 0.0000072,
+    "input_cost_per_token": 0.000004,
+    "input_cost_per_token_batches": 0.000002,
+    "input_cost_per_token_flex": 0.000002,
+    "input_cost_per_token_priority": 0.0000072,
     "litellm_provider": "vertex_ai",
     "max_input_tokens": 1048576,
-    "max_output_tokens": 65536,
-    "max_tokens": 65536,
+    "max_output_tokens": 1048576,
+    "max_tokens": 1048576,
     "mode": "chat",
-    "output_cost_per_reasoning_token": 0.0000075,
-    "output_cost_per_token": 0.0000075,
-    "output_cost_per_token_batches": 0.00000375,
-    "output_cost_per_token_flex": 0.00000375,
-    "output_cost_per_token_priority": 0.0000135,
+    "output_cost_per_reasoning_token": 0.00002,
+    "output_cost_per_token": 0.00002,
+    "output_cost_per_token_batches": 0.00001,
+    "output_cost_per_token_flex": 0.00001,
+    "output_cost_per_token_priority": 0.000036,
+    "prompt_cache_min_tokens": 6144,
     "regional_endpoint_uplift_multiplier": 1.1,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
     "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
     "supported_endpoints": [
       "/v1/chat/completions",
-      "/v1/completions"
+      "/v1/completions",
+      "/v1/batch"
     ],
     "supported_modalities": [
       "text",
@@ -64931,27 +57430,31 @@
       "text"
     ],
     "supports_audio_input": true,
-    "supports_function_calling": false,
+    "supports_function_calling": true,
+    "supports_minimal_reasoning_effort": false,
+    "supports_native_streaming": true,
+    "supports_parallel_function_calling": true,
     "supports_pdf_input": true,
     "supports_prompt_caching": true,
     "supports_reasoning": true,
-    "supports_minimal_reasoning_effort": false,
     "supports_response_schema": true,
     "supports_system_messages": true,
-    "supports_tool_choice": false,
-    "supports_url_context": false,
+    "supports_tool_choice": true,
+    "supports_url_context": true,
     "supports_video_input": true,
     "supports_vision": true,
-    "supports_web_search": false,
-    "supports_native_streaming": true
+    "supports_web_search": true,
+    "web_search_billing_unit": "per_query"
   },
   "vertex_ai/gemini-nano-banana-2.1": {
     "cache_read_input_token_cost": 1.5e-7,
     "cache_read_input_token_cost_batches": 7.5e-8,
+    "cache_read_input_token_cost_flex": 7.5e-8,
     "cache_read_input_token_cost_priority": 2.7e-7,
     "input_cost_per_image": 0.00168,
     "input_cost_per_token": 0.0000015,
     "input_cost_per_token_batches": 7.5e-7,
+    "input_cost_per_token_flex": 7.5e-7,
     "input_cost_per_token_priority": 0.0000027,
     "litellm_provider": "vertex_ai-language-models",
     "max_input_tokens": 131072,
@@ -64962,6 +57465,7 @@
     "output_cost_per_image_token": 0.00003,
     "output_cost_per_token": 0.0000075,
     "output_cost_per_token_batches": 0.00000375,
+    "output_cost_per_token_flex": 0.00000375,
     "output_cost_per_token_priority": 0.0000135,
     "search_context_cost_per_query": {
       "search_context_size_low": 0.014,
@@ -65030,6 +57534,56 @@
     "supports_video_input": true,
     "supports_vision": true
   },
+  "vertex_ai/gemini-robotics-er-2-preview": {
+    "cache_read_input_token_cost": 1e-7,
+    "cache_read_input_token_cost_batches": 5e-8,
+    "input_cost_per_audio_token": 0.000001,
+    "input_cost_per_token": 0.000001,
+    "input_cost_per_token_batches": 5e-7,
+    "litellm_provider": "vertex_ai",
+    "max_input_tokens": 131072,
+    "max_output_tokens": 65536,
+    "max_tokens": 65536,
+    "mode": "chat",
+    "output_cost_per_reasoning_token": 0.000005,
+    "output_cost_per_token": 0.000005,
+    "output_cost_per_token_batches": 0.0000025,
+    "search_context_cost_per_query": {
+      "search_context_size_low": 0.014,
+      "search_context_size_medium": 0.014,
+      "search_context_size_high": 0.014
+    },
+    "source": "https://ai.google.dev/gemini-api/docs/pricing",
+    "supported_endpoints": [
+      "/v1/chat/completions",
+      "/v1/completions",
+      "/v1/batch"
+    ],
+    "supported_modalities": [
+      "text",
+      "image",
+      "audio",
+      "video"
+    ],
+    "supported_output_modalities": [
+      "text"
+    ],
+    "supports_audio_input": true,
+    "supports_audio_output": false,
+    "supports_function_calling": true,
+    "supports_parallel_function_calling": true,
+    "supports_pdf_input": true,
+    "supports_prompt_caching": true,
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_system_messages": true,
+    "supports_tool_choice": true,
+    "supports_url_context": true,
+    "supports_video_input": true,
+    "supports_vision": true,
+    "supports_web_search": true,
+    "web_search_billing_unit": "per_query"
+  },
   "vertex_ai/gemma-4-26b-a4b-it": {
     "cache_read_input_token_cost": 1.5e-8,
     "input_cost_per_token": 1.5e-7,
@@ -66291,6 +58845,22 @@
     "supports_vision": false,
     "source": "https://wandb.ai/site/pricing/tokens/"
   },
+  "wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B": {
+    "cache_read_input_token_cost": 2e-8,
+    "input_cost_per_token": 1.5e-7,
+    "litellm_provider": "wandb",
+    "max_input_tokens": 1049000,
+    "max_tokens": 943718,
+    "mode": "chat",
+    "output_cost_per_token": 7.5e-7,
+    "source": "https://openrouter.ai/api/v1/models/nvidia/nemotron-3.5-super-vl/endpoints",
+    "supports_function_calling": true,
+    "supports_prompt_caching": true,
+    "supports_reasoning": true,
+    "supports_response_schema": true,
+    "supports_tool_choice": true,
+    "supports_vision": true
+  },
   "wandb/openai/gpt-oss-120b": {
     "supports_reasoning": true,
     "max_tokens": 131072,
@@ -66723,13 +59293,19 @@
   },
   "writer.palmyra-vision-7b": {
     "input_cost_per_token": 1.5e-7,
+    "input_cost_per_token_batches": 7.5e-8,
+    "input_cost_per_token_flex": 7.5e-8,
+    "input_cost_per_token_priority": 2.625e-7,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 4096,
     "max_output_tokens": 4096,
     "max_tokens": 4096,
     "mode": "chat",
     "output_cost_per_token": 6e-7,
-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "output_cost_per_token_batches": 3e-7,
+    "output_cost_per_token_flex": 3e-7,
+    "output_cost_per_token_priority": 0.00000105,
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_vision": true
   },
   "writer.palmyra-x4-v1:0": {
@@ -66747,38 +59323,15 @@
   "writer.palmyra-x5-v1:0": {
     "input_cost_per_token": 6e-7,
     "litellm_provider": "bedrock_converse",
-    "max_input_tokens": 1000000,
+    "max_input_tokens": 128000,
     "max_output_tokens": 8192,
     "max_tokens": 8192,
     "mode": "chat",
     "output_cost_per_token": 0.000006,
-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "source": "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-writer-palmyra-x5.md",
     "supports_function_calling": true,
     "supports_pdf_input": true
   },
-  "xai.grok-4.7": {
-    "supports_regex_lookaround": false,
-    "cache_read_input_token_cost": 5e-7,
-    "cache_read_input_token_cost_flex": 2.5e-7,
-    "cache_read_input_token_cost_priority": 8.75e-7,
-    "input_cost_per_token": 0.000002,
-    "input_cost_per_token_flex": 0.000001,
-    "input_cost_per_token_priority": 0.0000035,
-    "litellm_provider": "bedrock_converse",
-    "max_input_tokens": 500000,
-    "max_output_tokens": 500000,
-    "max_tokens": 500000,
-    "mode": "chat",
-    "output_cost_per_token": 0.000006,
-    "output_cost_per_token_flex": 0.000003,
-    "output_cost_per_token_priority": 0.0000105,
-    "source": "https://b0.p.awsstatic.com/pricing/2.0/meteredUnitMaps/bedrock/USD/current/bedrock.json",
-    "supports_function_calling": true,
-    "supports_prompt_caching": false,
-    "supports_reasoning": true,
-    "supports_tool_choice": true,
-    "supports_vision": true
-  },
   "xai/grok-2": {
     "input_cost_per_token": 0.000002,
     "litellm_provider": "xai",
@@ -67771,53 +60324,71 @@
     "supports_vision": true
   },
   "zai.glm-4.7": {
+    "deprecation_date": "2027-03-30",
     "input_cost_per_token": 6e-7,
+    "input_cost_per_token_batches": 3e-7,
+    "input_cost_per_token_flex": 3e-7,
+    "input_cost_per_token_priority": 0.00000105,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 203000,
-    "max_output_tokens": 4000,
-    "max_tokens": 4000,
+    "max_output_tokens": 128000,
+    "max_tokens": 128000,
     "mode": "chat",
     "output_cost_per_token": 0.0000022,
+    "output_cost_per_token_batches": 0.0000011,
+    "output_cost_per_token_flex": 0.0000011,
+    "output_cost_per_token_priority": 0.00000385,
     "supports_function_calling": true,
     "supports_reasoning": true,
     "supports_system_messages": true,
     "supports_tool_choice": true,
-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_audio_input": false,
     "supports_response_schema": true,
     "supports_vision": false
   },
   "zai.glm-4.7-flash": {
+    "deprecation_date": "2027-03-30",
     "input_cost_per_token": 7e-8,
+    "input_cost_per_token_batches": 3.5e-8,
+    "input_cost_per_token_flex": 3.5e-8,
+    "input_cost_per_token_priority": 1.225e-7,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 203000,
-    "max_output_tokens": 4000,
-    "max_tokens": 4000,
+    "max_output_tokens": 128000,
+    "max_tokens": 128000,
     "mode": "chat",
     "output_cost_per_token": 4e-7,
+    "output_cost_per_token_batches": 2e-7,
+    "output_cost_per_token_flex": 2e-7,
+    "output_cost_per_token_priority": 7e-7,
     "supports_function_calling": true,
     "supports_reasoning": true,
     "supports_system_messages": true,
     "supports_tool_choice": true,
-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_audio_input": false,
     "supports_response_schema": true,
     "supports_vision": false
   },
   "zai.glm-5": {
     "input_cost_per_token": 0.000001,
+    "input_cost_per_token_batches": 5e-7,
+    "input_cost_per_token_priority": 0.00000175,
     "output_cost_per_token": 0.0000032,
     "litellm_provider": "bedrock_converse",
     "max_input_tokens": 200000,
     "max_output_tokens": 128000,
     "max_tokens": 128000,
     "mode": "chat",
+    "output_cost_per_token_batches": 0.0000016,
+    "output_cost_per_token_priority": 0.0000056,
     "supports_function_calling": true,
     "supports_reasoning": true,
     "supports_native_structured_output": true,
     "supports_system_messages": true,
     "supports_tool_choice": true,
-    "source": "https://aws.amazon.com/bedrock/pricing/",
+    "source": "https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonBedrock/current/us-east-1/index.json",
     "supports_audio_input": false,
     "supports_response_schema": true,
     "supports_vision": false
diff --git a/cecli/tui/app.py b/cecli/tui/app.py
index 79ea0175e71..c73f5e5cea8 100644
--- a/cecli/tui/app.py
+++ b/cecli/tui/app.py
@@ -15,7 +15,9 @@
 from rich.style import Style
 from textual import events
 from textual.app import App, ComposeResult
+from textual.containers import Horizontal, Vertical
 from textual.theme import Theme
+from textual.widgets import Static
 
 from cecli import __version__
 from cecli.decoding import safe_open
@@ -29,6 +31,7 @@
 from .widgets import (
     CompletionBar,
     FileList,
+    FloatingPanels,
     InputArea,
     InputContainer,
     KeyHints,
@@ -211,6 +214,13 @@ def __init__(self, coder_worker, output_queue, input_queue, args):
             show=True,
         )
 
+        self.bind(
+            self._encode_keys(self.get_keys_for("panels")),
+            "toggle_floating_panels",
+            description="Toggle Panels",
+            show=False,
+        )
+
         self.register_theme(BASE_THEME)
         self.theme = "cecli"
 
@@ -294,6 +304,7 @@ def _get_config(self):
             "history": "alt+shift+h",
             "voice": "ctrl+r",
             "paste": "alt+v",
+            "panels": "alt+p",
             "focus": "ctrl+f",
             "cancel": "ctrl+c",
             "clear": "ctrl+l",
@@ -365,13 +376,21 @@ def compose(self) -> ComposeResult:
         # Git info loaded in on_mount to avoid blocking startup
         yield OutputContainer(id="output")
         yield StatusBar(id="status-bar")
-        yield InputContainer(
-            InputArea(history_file=history_file, id="input"),
-            FileList(id="file-list", classes="empty"),
-            id="input-container",
-            coder_mode=coder_mode,
-        )
-        yield KeyHints(id="key-hints")
+        with Horizontal(id="input-row"):
+            with Vertical(id="input-column"):
+                yield InputContainer(
+                    InputArea(history_file=history_file, id="input"),
+                    FileList(id="file-list", classes="empty"),
+                    id="input-container",
+                    coder_mode=coder_mode,
+                )
+                yield KeyHints(id="key-hints")
+            with Vertical(id="extensions-column"):
+                yield FloatingPanels(id="floating-panels")
+                yield Static(
+                    f"{self.get_keys_for('panels')} to toggle",
+                    id="extensions-hint",
+                )
         yield MainFooter(
             model_name=model_name,
             project_name=project_name,
@@ -1273,6 +1292,13 @@ def action_quit(self):
         # Delay exit to allow status bar to render
         self.set_timer(0.3, self._do_quit)
 
+    def action_toggle_floating_panels(self):
+        """Show or hide the floating status panels."""
+        try:
+            self.query_one(FloatingPanels).toggle_visible()
+        except Exception:
+            pass
+
     def action_noop(self):
         pass
 
diff --git a/cecli/tui/styles.tcss b/cecli/tui/styles.tcss
index 72c689bc724..b69ed096671 100644
--- a/cecli/tui/styles.tcss
+++ b/cecli/tui/styles.tcss
@@ -23,6 +23,29 @@ Screen {
     border: none;    
 }
 
+/* Input row: input container plus the floating status panels */
+#input-row {
+    height: auto;
+    width: 100%;
+    padding: 0;
+    margin: 0;
+    align-vertical: top;
+}
+
+#input-column {
+    width: 1fr;
+    height: auto;
+    margin: 0;
+    padding: 0;
+}
+
+#extensions-column {
+    width: 43;
+    height: auto;
+    margin: 0;
+    padding: 0;
+}
+
 /* Output area */
 #output,  .subagent-output {
     height: 1fr;
@@ -36,7 +59,8 @@ Screen {
 /* Input area - floating card style */
 #input-container {
     height: auto;
-    max-height: 33%;
+    width: 1fr;
+    max-height: 33vh;
     min-height: 0;
     padding: 0 0 0 1;
     margin: 0 1 0 1;
@@ -100,13 +124,22 @@ TextArea > .text-area--selection {
     display: none;
 }
 
-/* Key hints below input */
+/* Key hints sit inside the same column as their box */
 #key-hints {
     color: $secondary;
     height: 1;
-    width: 100%;
-    padding: 0 2 0 2;
-    margin: 0 0 1 0;    
+    width: 1fr;
+    padding: 0 1 0 1;
+    margin: 0 1 1 1;
+}
+
+#extensions-hint {
+    width: 1fr;
+    height: 1;
+    padding: 0 1 0 1;
+    margin: 0 1 1 0;
+    color: $secondary;
+    text-align: right;
 }
 
 #key-hints > .key-hints-left {
@@ -128,4 +161,3 @@ TextArea > .text-area--selection {
     color: $accent;
     padding: 0 1;
 }
-
diff --git a/cecli/tui/widgets/__init__.py b/cecli/tui/widgets/__init__.py
index 8e8c2db6288..09d2e795bb3 100644
--- a/cecli/tui/widgets/__init__.py
+++ b/cecli/tui/widgets/__init__.py
@@ -2,6 +2,7 @@
 
 from .completion_bar import CompletionBar
 from .file_list import FileList
+from .floating_panels import FloatingPanels
 from .footer import MainFooter
 from .input_area import InputArea
 from .input_container import InputContainer
@@ -19,5 +20,6 @@
     "OutputContainer",
     "StatusBar",
     "FileList",
+    "FloatingPanels",
     "SubAgentPills",
 ]
diff --git a/cecli/tui/widgets/floating_panels.py b/cecli/tui/widgets/floating_panels.py
new file mode 100644
index 00000000000..5720a9f36f1
--- /dev/null
+++ b/cecli/tui/widgets/floating_panels.py
@@ -0,0 +1,395 @@
+"""Extensions box showing sub-agents, skills, and MCP servers."""
+
+from textual.containers import Horizontal, Vertical, VerticalScroll
+from textual.message import Message
+from textual.reactive import reactive
+from textual.widgets import Static
+
+
+class StatusItemClicked(Message):
+    """Posted when a status item is clicked."""
+
+    def __init__(self, category: str, name: str, active: bool):
+        super().__init__()
+        self.category = category
+        self.name = name
+        self.active = active
+
+
+class StatusItem(Static):
+    """A clickable item in the extensions box."""
+
+    def __init__(self, display_name, item_name, category, active, **kwargs):
+        classes = "status-item active" if active else "status-item inactive"
+        super().__init__(
+            f"{'●' if active else '○'} {display_name}",
+            markup=False,
+            classes=classes,
+            **kwargs,
+        )
+        self.item_name = item_name
+        self.item_category = category
+        self.item_active = active
+
+    def on_click(self, event):
+        self.post_message(StatusItemClicked(self.item_category, self.item_name, self.item_active))
+        event.stop()
+
+
+class StatusColumn(Vertical):
+    """A reactive vertical column of clickable status items."""
+
+    items = reactive([], recompose=True)
+
+    def __init__(self, category: str, **kwargs):
+        super().__init__(**kwargs)
+        self.category = category
+
+    def compose(self):
+        if not self.items:
+            yield Static("(none)", classes="status-empty")
+            return
+
+        for display_name, name, active in self.items:
+            yield StatusItem(display_name, name, self.category, active)
+
+
+class FloatingPanels(Vertical):
+    """Single box showing sub-agents, skills, and MCP servers.
+
+    Every item is clickable: sub-agents spawn, skills load/unload, and MCP
+    servers load/unload. The three categories sit in equal-width columns
+    beneath labels embedded in the top border, and share one scroll area.
+    """
+
+    MAX_NAME_WIDTH = 10
+
+    DEFAULT_CSS = """
+    FloatingPanels {
+        height: auto;
+        width: 42;
+        border: round $accent 50%;
+        border-title-align: center;
+        border-title-color: $accent 50%;
+        border-title-style: bold;
+        padding: 0 1;
+        background: $surface;
+    }
+
+    FloatingPanels > .status-body {
+        height: 100%;
+        width: 100%;
+    }
+
+    FloatingPanels .status-scroll {
+        width: 100%;
+        height: 1fr;
+        overflow-x: hidden;
+        overflow-y: auto;
+        scrollbar-size: 0 0;
+        scrollbar-visibility: hidden;
+    }
+
+    FloatingPanels .status-items {
+        width: 100%;
+        height: auto;
+    }
+
+    FloatingPanels .status-column {
+        width: 1fr;
+        height: auto;
+    }
+
+    FloatingPanels .status-spacer {
+        width: 1;
+        height: 1;
+    }
+
+    FloatingPanels .status-item {
+        width: 100%;
+        height: 1;
+        color: $accent;
+    }
+
+    FloatingPanels .status-item.inactive {
+        color: white;
+        text-style: dim;
+    }
+
+    FloatingPanels .status-empty {
+        width: auto;
+        height: 1;
+        color: $secondary;
+    }
+    """
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.border_title = "agents ───── skills ───── servers"
+        self._synced_height = None
+        self._synced_column_height = None
+        self._command_running = False
+
+    def compose(self):
+        with Vertical(classes="status-body"):
+            with VerticalScroll(classes="status-scroll", id="status-scroll"):
+                with Horizontal(classes="status-items"):
+                    yield StatusColumn("subagents", id="subagents-column", classes="status-column")
+                    yield Static("", classes="status-spacer")
+                    yield StatusColumn("skills", id="skills-column", classes="status-column")
+                    yield Static("", classes="status-spacer")
+                    yield StatusColumn("servers", id="servers-column", classes="status-column")
+
+    def on_mount(self):
+        """Start periodic height sync and data refreshes."""
+        self.call_after_refresh(self._sync_height)
+        self.set_interval(0.25, self._sync_height)
+        self.set_interval(1.0, self.refresh_data)
+        self.refresh_data()
+
+    def on_status_item_clicked(self, event: StatusItemClicked):
+        """Route an item click to the matching coder command."""
+        self._run_coder_command(event.category, event.name, event.active)
+        self._scroll_to_top()
+        self.app.call_after_refresh(self._focus_input)
+
+    def _sync_height(self):
+        """Match the box height to the input container's current height."""
+        try:
+            height = self.app.query_one("#input-container").region.height
+        except Exception:
+            return
+
+        if height <= 0:
+            return
+
+        if height != self._synced_height:
+            self._synced_height = height
+            self.styles.height = height
+
+        try:
+            hints = self.app.query_one("#key-hints")
+            column = self.app.query_one("#input-column")
+            hints_height = hints.region.height
+            hints_height += int(hints.styles.margin.top)
+            hints_height += int(hints.styles.margin.bottom)
+            column_height = height + hints_height
+        except Exception:
+            return
+
+        if column_height != self._synced_column_height:
+            self._synced_column_height = column_height
+            column.styles.height = column_height
+
+    def toggle_visible(self):
+        """Hide the whole extensions column, or show it again."""
+        target = self.parent
+        if getattr(target, "id", None) != "extensions-column":
+            target = self
+
+        target.display = not target.display
+        if target.display:
+            self.refresh_data()
+
+    def refresh_data(self):
+        """Refresh the extensions columns from the active coder's state."""
+        coder = self._get_active_coder()
+        if coder is None:
+            self._set_column("#subagents-column", [])
+            self._set_column("#skills-column", [])
+            self._set_column("#servers-column", [])
+            return
+
+        self._set_column("#subagents-column", self._collect_agents())
+        self._set_column("#skills-column", self._collect_skills(coder))
+        self._set_column("#servers-column", self._collect_mcp(coder))
+
+    def _focus_input(self):
+        """Return keyboard focus to the prompt input."""
+        try:
+            self.app.query_one("#input").focus()
+        except Exception:
+            pass
+
+    def _scroll_to_top(self):
+        """Return the shared list to the top after an item click."""
+        try:
+            self.query_one("#status-scroll", VerticalScroll).scroll_to(y=0, animate=False)
+        except Exception:
+            pass
+
+    def _set_column(self, selector, entries):
+        """Replace one column's clickable items, skipping unchanged data."""
+        try:
+            column = self.query_one(selector, StatusColumn)
+        except Exception:
+            return
+
+        ordered = sorted(entries, key=lambda item: (not item[1], item[0].lower()))
+        items = [(self._format_name(name), name, active) for name, active in ordered]
+        signature = tuple(items)
+        if signature == getattr(column, "_last_signature", None):
+            return
+
+        column._last_signature = signature
+        column.items = items
+
+    def _run_coder_command(self, category, name, active):
+        """Schedule the click's coder command on the worker loop."""
+        if self._command_running:
+            return
+
+        coder = self._get_primary_coder() if category == "subagents" else self._get_active_coder()
+        if coder is None:
+            return
+
+        command_cls = self._command_class(category, active)
+        if command_cls is None:
+            return
+
+        self._command_running = True
+
+        async def runner():
+            try:
+                await command_cls.execute(coder.io, coder, name)
+            finally:
+                self._command_running = False
+                try:
+                    self.app.call_from_thread(self.refresh_data)
+                except Exception:
+                    pass
+
+        loop = getattr(getattr(self.app, "worker", None), "loop", None)
+        if loop is not None:
+            loop.call_soon_threadsafe(lambda: loop.create_task(runner()))
+            return
+
+        try:
+            self.run_worker(runner())
+        except Exception:
+            self._command_running = False
+
+    def _command_class(self, category, active):
+        """Return the command class for an item click."""
+        if category == "subagents":
+            from cecli.commands.spawn_agent import SpawnAgentCommand
+
+            return SpawnAgentCommand
+
+        if category == "skills":
+            if active:
+                from cecli.commands.remove_skill import RemoveSkillCommand
+
+                return RemoveSkillCommand
+
+            from cecli.commands.load_skill import LoadSkillCommand
+
+            return LoadSkillCommand
+
+        if category == "servers":
+            if active:
+                from cecli.commands.remove_mcp import RemoveMcpCommand
+
+                return RemoveMcpCommand
+
+            from cecli.commands.load_mcp import LoadMcpCommand
+
+            return LoadMcpCommand
+
+        return None
+
+    def _get_primary_coder(self):
+        """Return the primary coder from the TUI worker, if available."""
+        try:
+            return self.app.worker.coder
+        except Exception:
+            return None
+
+    def _get_active_coder(self):
+        """Return the foreground coder, falling back to the primary coder."""
+        primary = self._get_primary_coder()
+        if primary is None:
+            return None
+
+        try:
+            from cecli.helpers.agents.service import AgentService
+
+            return AgentService.get_instance(primary).foreground_coder or primary
+        except Exception:
+            return primary
+
+    def _collect_agents(self):
+        """Collect agent types, marking the foreground agent's type active."""
+        primary = self._get_primary_coder()
+        if primary is None:
+            return []
+
+        try:
+            from cecli.helpers.agents.service import AgentService
+
+            service = AgentService.get_instance(primary)
+            registered = set(AgentService.get_registry().keys())
+            live = {info.name for info in service.sub_agents.values() if info is not None}
+            active_name = None
+            foreground_uuid = getattr(service, "foreground_uuid", None)
+            if foreground_uuid:
+                info = service.sub_agents.get(str(foreground_uuid))
+                if info is not None:
+                    active_name = info.name
+        except Exception:
+            return []
+
+        return [(name, name == active_name) for name in registered | live]
+
+    def _collect_skills(self, coder):
+        """Collect discoverable skills and mark the loaded ones active."""
+        manager = getattr(coder, "skills_manager", None)
+        if manager is None:
+            return []
+
+        loaded = set(getattr(manager, "_loaded_skills", set()) or set())
+        try:
+            available = {skill.name for skill in manager.find_skills()}
+        except Exception:
+            available = set()
+
+        return [(name, name in loaded) for name in available | loaded]
+
+    def _collect_mcp(self, coder):
+        """Collect MCP servers and mark connected, unfiltered ones active."""
+        manager = getattr(coder, "mcp_manager", None)
+        if manager is None:
+            return []
+
+        registered = getattr(coder, "registered_servers", None) or {}
+        included = set(registered.get("included", set()) or set())
+        excluded = set(registered.get("excluded", set()) or set())
+
+        try:
+            servers = manager.servers
+        except Exception:
+            servers = []
+
+        entries = []
+        for server in servers:
+            name = getattr(server, "name", "")
+            if not name:
+                continue
+
+            active = bool(getattr(server, "is_connected", False))
+            if included and name not in included:
+                active = False
+            if name in excluded:
+                active = False
+
+            entries.append((name, active))
+
+        return entries
+
+    @staticmethod
+    def _format_name(name: str) -> str:
+        """Shorten a name to keep rows compact."""
+        name = str(name)
+        if len(name) > FloatingPanels.MAX_NAME_WIDTH:
+            return name[: FloatingPanels.MAX_NAME_WIDTH - 1] + "…"
+        return name
diff --git a/cecli/tui/widgets/input_area.py b/cecli/tui/widgets/input_area.py
index eecfd66c3e5..52b92c33266 100644
--- a/cecli/tui/widgets/input_area.py
+++ b/cecli/tui/widgets/input_area.py
@@ -252,6 +252,12 @@ def on_key(self, event) -> None:
             event.prevent_default()
             self.app.action_paste_clipboard()
 
+        if self.app.is_key_for("panels", event.key):
+            event.stop()
+            event.prevent_default()
+            self.app.action_toggle_floating_panels()
+            return
+
         if self.app.is_key_for("history", event.key):
             event.stop()
             event.prevent_default()
diff --git a/cecli/website/docs/config/workflows.md b/cecli/website/docs/config/workflows.md
index 5b4ccabdb16..b516c4c3f87 100644
--- a/cecli/website/docs/config/workflows.md
+++ b/cecli/website/docs/config/workflows.md
@@ -9,7 +9,7 @@ A **workflow** is a named, optionally scheduled sequence of prompts that run una
 
 ## Where to define them
 
-Preferred: one YAML file per workflow in `~/.cecli/workflows/`:
+Preferred: one YAML file per workflow in `~/.cecli/workflows/` (with `~/.agents/workflows/` also discovered):
 
 ```
 ~/.cecli/workflows/
@@ -25,6 +25,7 @@ Also supported: a repo-local `.cecli/workflows/` or `.agents/workflows/` directo
 4. **Standard local directory** — `.agents/workflows/*.yml` / `*.yaml` in the git root (or working directory), loaded in sorted order.
 5. **Merged config** — the `workflows:` key in `.cecli.conf.yml`.
 6. **Global files** — `~/.cecli/workflows/*.yml` / `*.yaml`, loaded in sorted order.
+7. **Standard global directory** — `~/.agents/workflows/*.yml` / `*.yaml`, loaded in sorted order.
 
 On a duplicate `name`, the higher-precedence definition wins and the loser is skipped with a warning. A source that fails to parse is skipped with a warning as well — a malformed workflows file never crashes startup.
 
@@ -147,7 +148,7 @@ tasks:
 
 ## Compatibility
 
-- Workflows are additive: nothing changes until you create a `workflows:` key or a file in `~/.cecli/workflows/`.
+- Workflows are additive: nothing changes until you create a `workflows:` key or a file in `~/.cecli/workflows/` or `~/.agents/workflows/`.
 - `wf:` agents show up in `/agent-tree` alongside `ws:` agents; a workflow can itself delegate sub-agents (nested delegation enabled).
 - Existing `/queue` semantics are unchanged; workflows reuse the same queue.
 
diff --git a/tests/basic/test_diff_helpers.py b/tests/basic/test_diff_helpers.py
new file mode 100644
index 00000000000..b319346ce05
--- /dev/null
+++ b/tests/basic/test_diff_helpers.py
@@ -0,0 +1,89 @@
+from cecli.helpers.diff.diff_helpers import unified_diff_compacted
+
+
+def _added_lines(diff):
+    return [line[1:] for line in diff if line.startswith("+") and not line.startswith("+++")]
+
+
+def _removed_lines(diff):
+    return [line[1:] for line in diff if line.startswith("-") and not line.startswith("---")]
+
+
+def test_compacts_duplicate_insertion_block():
+    old = ["def first():", "    return 1", "", "", "def second():", "    return 1"]
+    new = [
+        "def first():",
+        "    return 1",
+        "",
+        "",
+        "def middle():",
+        "    return 1",
+        "",
+        "",
+        "def second():",
+        "    return 1",
+    ]
+
+    diff = unified_diff_compacted(old, new, "a", "b", context_lines=3)
+    added = _added_lines(diff)
+    first_added = next(line for line in added if line.strip())
+
+    assert "def middle():" in first_added
+    assert not any("def first():" in line for line in added)
+    assert not any("def second():" in line for line in added)
+
+
+def test_compacts_duplicate_deletion_block():
+    old = [
+        "def first():",
+        "    return 1",
+        "",
+        "",
+        "def middle():",
+        "    return 1",
+        "",
+        "",
+        "def second():",
+        "    return 1",
+    ]
+    new = ["def first():", "    return 1", "", "", "def second():", "    return 1"]
+
+    diff = unified_diff_compacted(old, new, "a", "b", context_lines=3)
+    removed = _removed_lines(diff)
+    first_removed = next(line for line in removed if line.strip())
+
+    assert "def middle():" in first_removed
+    assert not any("def first():" in line for line in removed)
+    assert not any("def second():" in line for line in removed)
+
+
+def test_unchanged_input_returns_empty_diff():
+    lines = ["alpha", "beta"]
+
+    assert unified_diff_compacted(lines, list(lines)) == []
+
+
+def test_replacement_diff_has_correct_ranges():
+    diff = unified_diff_compacted(["a", "b", "c"], ["a", "B", "c"], "old", "new")
+
+    assert diff == [
+        "--- old",
+        "+++ new",
+        "@@ -1,3 +1,3 @@",
+        " a",
+        "-b",
+        "+B",
+        " c",
+    ]
+
+
+def test_compacts_insertion_at_start():
+    diff = unified_diff_compacted(["a", "b"], ["a", "a", "b"], "a", "b", context_lines=3)
+
+    assert diff == ["--- a", "+++ b", "@@ -1,2 +1,3 @@", " a", "+a", " b"]
+
+
+def test_compacts_deletion_at_start():
+    diff = unified_diff_compacted(["a", "a", "b"], ["a", "b"], "a", "b", context_lines=3)
+
+    assert diff == ["--- a", "+++ b", "@@ -1,3 +1,2 @@", " a", "-a", " b"]
diff --git a/tests/basic/test_main.py b/tests/basic/test_main.py
index 392dfd5dd02..3248a37c54b 100644
--- a/tests/basic/test_main.py
+++ b/tests/basic/test_main.py
@@ -761,6 +761,9 @@ def test_boolean_flags(flag_arg, attr_name, expected, dummy_io, git_temp_dir):
 def test_no_verify_ssl_sets_model_info_manager(dummy_io, git_temp_dir, mocker):
     mock_set_verify_ssl = mocker.patch("cecli.models.ModelInfoManager.set_verify_ssl")
     mock_model = mocker.patch("cecli.models.Model")
+    # Startup now builds the default agent coder, so the fully mocked model
+    # must return a real int for map tokens (base_coder compares it to 0).
+    mock_model.return_value.get_repo_map_tokens.return_value = 0
     mock_model.return_value.info = {}
     mock_model.return_value.name = "gpt-4"
     mock_model.return_value.validate_environment.return_value = {
@@ -891,6 +894,31 @@ def test_invalid_edit_format(dummy_io, git_temp_dir, mocker, capsys):
     assert "not-a-real-format" in stderr_output
 
 
+def test_default_edit_format_is_agent(dummy_io, git_temp_dir):
+    coder = main(["--exit", "--yes-always"], **dummy_io, return_coder=True)
+    assert coder.edit_format == "agent"
+
+
+@pytest.mark.parametrize(
+    "flag_arg,expected_format",
+    [
+        ("--edit-format", "whole"),
+        ("--chat-mode", "whole"),
+        (None, "agent"),
+    ],
+    ids=["edit_format_flag", "chat_mode_alias", "unset_defaults_to_agent"],
+)
+def test_edit_format_flag_overrides_agent_default(
+    flag_arg, expected_format, dummy_io, git_temp_dir, mock_coder
+):
+    args = ["--exit", "--yes-always"]
+    if flag_arg:
+        args = [flag_arg, expected_format] + args
+    main(args, **dummy_io)
+    _, kwargs = mock_coder.call_args
+    assert kwargs["edit_format"] == expected_format
+
+
 @pytest.mark.parametrize(
     "api_key_env,expected_model_substr",
     [
diff --git a/tests/helpers/workflows/test_config.py b/tests/helpers/workflows/test_config.py
index 0d017999634..91a31b9b847 100644
--- a/tests/helpers/workflows/test_config.py
+++ b/tests/helpers/workflows/test_config.py
@@ -40,6 +40,14 @@ def _home_workflow(wdir: Path, filename: str, text: str) -> Path:
     return path
 
 
+def _home_agents_workflow(home: Path, filename: str, text: str) -> Path:
+    wdir = home / ".agents" / "workflows"
+    wdir.mkdir(parents=True, exist_ok=True)
+    path = wdir / filename
+    path.write_text(text, encoding="utf-8")
+    return path
+
+
 def _mapping_text(name: str, prompt: str) -> str:
     return f"name: {name}\ntasks:\n  - prompt: {prompt}\n"
 
@@ -111,6 +119,28 @@ def test_glob_of_home_files_is_stably_sorted(isolated):
     assert [wf.name for wf in load_workflows()] == ["a", "b"]
 
 
+def test_home_agents_dir_files_are_loaded(isolated):
+    _home_agents_workflow(
+        isolated["home"], "pipelines.yml", _mapping_text("home-agents-dir", "check")
+    )
+
+    configs = load_workflows()
+
+    assert [wf.name for wf in configs] == ["home-agents-dir"]
+    assert configs[0].source_path == str(
+        isolated["home"] / ".agents" / "workflows" / "pipelines.yml"
+    )
+
+
+def test_home_cecli_dir_wins_over_home_agents_dir(isolated):
+    _home_agents_workflow(isolated["home"], "dup.yml", _mapping_text("dup", "agents"))
+    _home_workflow(isolated["wdir"], "dup.yml", _mapping_text("dup", "cecli"))
+
+    configs = load_workflows()
+
+    assert [wf.tasks[0].prompt for wf in configs] == ["cecli"]
+
+
 # ── Case 3: hyphen-case keys normalize ──────────────────────────────────────
 
 
diff --git a/tests/subagents/test_service.py b/tests/subagents/test_service.py
index f6ee8469a5b..3eede1493fc 100644
--- a/tests/subagents/test_service.py
+++ b/tests/subagents/test_service.py
@@ -1025,6 +1025,39 @@ async def test_wf_agent_inherits_and_merges(self, service):
         assert merged["skip_cli_confirmations"] is True
         assert merged["allow_nested_delegation"] is True  # defaulted
 
+    @pytest.mark.asyncio
+    async def test_wf_servers_allowlist_forces_local(self, service):
+        """A wf: servers allowlist always keeps the Local server available."""
+        service.coder.agent_config = {}
+        self._register(
+            "wf:demo",
+            {"servers_includelist": ["GitLab"], "skip_cli_confirmations": True},
+        )
+
+        merged = await self._create(service, "wf:demo")
+
+        assert merged["servers_includelist"] == ["gitlab", "local"]
+
+    @pytest.mark.asyncio
+    async def test_wf_without_allowlist_does_not_force_local(self, service):
+        """Only an explicit allowlist gets the Local server added."""
+        service.coder.agent_config = {}
+        self._register("wf:demo", {"skip_cli_confirmations": True})
+
+        merged = await self._create(service, "wf:demo")
+
+        assert "servers_includelist" not in merged
+
+    @pytest.mark.asyncio
+    async def test_ws_servers_allowlist_does_not_force_local(self, service):
+        """Local is forced for wf: agents only, not for other inherit-prefix agents."""
+        service.coder.agent_config = {}
+        self._register("ws:app", {"servers_includelist": ["github"]})
+
+        merged = await self._create(service, "ws:app")
+
+        assert merged["servers_includelist"] == ["github"]
+
     @pytest.mark.asyncio
     async def test_wf_respects_explicit_optout(self, service):
         """wf: uses setdefault, so an explicit False in the config survives."""
@@ -1160,3 +1193,29 @@ async def contends():
         assert "c1" in order
         assert "c2" in order
         assert "holder-released" in order
+
+
+class TestStartGenerateTaskSwitch:
+    """A mid-turn command signal rebuilds the sub-agent coder in place."""
+
+    @pytest.mark.asyncio
+    async def test_switch_signal_switches_sub_agent_instead_of_escaping(self, service):
+        from cecli.signals import SwitchCoderSignal
+
+        coder = MagicMock()
+        coder.uuid = "sub-uuid"
+
+        async def raise_switch(**kwargs):
+            raise SwitchCoderSignal(edit_format="subagent")
+
+        coder.generate = AsyncMock(side_effect=raise_switch)
+        info = SubAgentInfo(name="wf:demo", coder=coder, parent_uuid="parent-uuid")
+        info.detached = True
+        service.switch_sub_agent_coder = AsyncMock()
+
+        task = service.start_generate_task(info, "/load-mcp github")
+        await task
+
+        service.switch_sub_agent_coder.assert_awaited_once()
+        assert service.switch_sub_agent_coder.call_args.args[0] is info
+        assert info.status == SubAgentStatus.FINISHED
diff --git a/tests/tui/test_floating_panels.py b/tests/tui/test_floating_panels.py
new file mode 100644
index 00000000000..860420f867a
--- /dev/null
+++ b/tests/tui/test_floating_panels.py
@@ -0,0 +1,222 @@
+import asyncio
+from types import SimpleNamespace
+from unittest.mock import patch
+
+from textual.app import App, ComposeResult
+from textual.binding import Binding
+from textual.containers import Horizontal, Vertical, VerticalScroll
+from textual.widgets import Input, Static
+
+from cecli.tui.widgets.floating_panels import (
+    FloatingPanels,
+    StatusColumn,
+    StatusItem,
+    StatusItemClicked,
+)
+
+
+class FakeSkill:
+    def __init__(self, name):
+        self.name = name
+
+
+class FakeSkills:
+    def __init__(self):
+        self._loaded_skills = {"pdf"}
+        self.names = ["pdf", "docx", "spark"]
+
+    def find_skills(self):
+        return [FakeSkill(name) for name in self.names]
+
+
+class FakeServer:
+    def __init__(self, name, connected):
+        self.name = name
+        self.is_connected = connected
+
+
+class FakeMcp:
+    def __init__(self):
+        self.servers = [FakeServer("local", True), FakeServer("github", False)]
+
+
+class FakeCoder:
+    registered_servers = {"included": set(), "excluded": set()}
+
+    def __init__(self):
+        self.skills_manager = FakeSkills()
+        self.mcp_manager = FakeMcp()
+
+
+class _PanelApp(App):
+    CSS = """
+    #input-row { height: auto; width: 100%; align-vertical: top; }
+    #input-container { height: 5; width: 1fr; }
+    #key-hints { height: 1; margin: 0 0 1 0; }
+    """
+
+    BINDINGS = [Binding("alt+p", "toggle_floating_panels", "Toggle panels", show=False)]
+
+    def __init__(self):
+        super().__init__()
+        self.worker = SimpleNamespace(coder=FakeCoder())
+
+    def compose(self) -> ComposeResult:
+        with Horizontal(id="input-row"):
+            with Vertical(id="input-column"):
+                with Vertical(id="input-container"):
+                    yield Input(id="input")
+                yield Static("hints", id="key-hints")
+            with Vertical(id="extensions-column"):
+                yield FloatingPanels(id="floating-panels")
+                yield Static("alt+p to toggle", id="extensions-hint")
+
+    def action_toggle_floating_panels(self):
+        self.query_one(FloatingPanels).toggle_visible()
+
+
+def _column_text(panels: FloatingPanels, column_id: str) -> str:
+    column = panels.query_one(f"#{column_id}", StatusColumn)
+    return " ".join(str(item.render()) for item in column.query(StatusItem))
+
+
+async def _run_panel_checks():
+    app = _PanelApp()
+    async with app.run_test(size=(100, 40)) as pilot:
+        panels = app.query_one("#floating-panels", FloatingPanels)
+        input_container = app.query_one("#input-container")
+        extensions_column = app.query_one("#extensions-column")
+        input_column = app.query_one("#input-column")
+        input_area = app.query_one("#input", Input)
+        panels.refresh_data()
+        await pilot.pause()
+        await asyncio.sleep(0.1)
+        await pilot.pause()
+
+        visible_input_width = input_container.region.width
+
+        assert panels.border_title == "agents ───── skills ───── servers"
+        assert panels.region.x >= input_container.region.right
+        assert panels.region.bottom == input_container.region.bottom
+        assert panels.region.height == input_container.region.height
+
+        columns = list(panels.query(".status-column"))
+        assert len(columns) == 3
+        column_widths = [column.region.width for column in columns]
+        assert len(set(column_widths)) == 1
+        assert columns[0].region.x < columns[1].region.x < columns[2].region.x
+        assert columns[1].region.x - columns[0].region.right == 1
+        assert columns[2].region.x - columns[1].region.right == 1
+        assert len({column.region.y for column in columns}) == 1
+
+        assert _column_text(panels, "subagents-column") == "● worker ○ tester"
+        assert _column_text(panels, "skills-column") == "● pdf ○ docx ○ spark"
+        assert _column_text(panels, "servers-column") == "● local ○ github"
+
+        long_name = "a-very-long-skill-name-that-keeps-going"
+        formatted = FloatingPanels._format_name(long_name)
+        assert len(formatted) == FloatingPanels.MAX_NAME_WIDTH
+        assert formatted.endswith("…")
+
+        captured = []
+        panels._run_coder_command = lambda category, name, active: captured.append(
+            (category, name, active)
+        )
+        skill_items = list(panels.query_one("#skills-column", StatusColumn).query(StatusItem))
+        input_area.blur()
+        await pilot.pause()
+        await pilot.click(skill_items[0])
+        await pilot.pause()
+        await pilot.click(skill_items[1])
+        await pilot.pause()
+        assert captured == [("skills", "pdf", True), ("skills", "docx", False)]
+        assert app.focused is input_area
+
+        panels.on_status_item_clicked(StatusItemClicked("subagents", "worker", False))
+        panels.on_status_item_clicked(StatusItemClicked("servers", "github", False))
+        assert captured[-2:] == [
+            ("subagents", "worker", False),
+            ("servers", "github", False),
+        ]
+
+        assert panels._command_class("subagents", False).__name__ == "SpawnAgentCommand"
+        assert panels._command_class("skills", True).__name__ == "RemoveSkillCommand"
+        assert panels._command_class("skills", False).__name__ == "LoadSkillCommand"
+        assert panels._command_class("servers", True).__name__ == "RemoveMcpCommand"
+        assert panels._command_class("servers", False).__name__ == "LoadMcpCommand"
+
+        panels._collect_skills = lambda coder: [("z", True), ("a", True), ("b", False)]
+        panels.refresh_data()
+        await pilot.pause()
+        assert _column_text(panels, "skills-column") == "● a ● z ○ b"
+
+        panels._collect_skills = lambda coder: [(f"skill-{i}", True) for i in range(20)]
+        panels.refresh_data()
+        await pilot.pause()
+        await asyncio.sleep(0.1)
+        await pilot.pause()
+
+        scroll = panels.query_one("#status-scroll", VerticalScroll)
+        assert scroll.max_scroll_y > 0
+        assert scroll.styles.scrollbar_visibility == "hidden"
+        assert "skill-19" in _column_text(panels, "skills-column")
+        assert panels.region.height == input_container.region.height
+
+        scroll.scroll_to(y=5, animate=False)
+        await pilot.pause()
+        assert scroll.scroll_y > 0
+
+        panels.on_status_item_clicked(StatusItemClicked("skills", "skill-19", True))
+        await pilot.pause()
+        assert scroll.scroll_y == 0
+
+        input_container.styles.height = 8
+        await pilot.pause()
+        await asyncio.sleep(0.35)
+        await pilot.pause()
+        assert panels.region.height == 8
+        assert input_column.region.height == 10
+
+        await pilot.press("alt+p")
+        await pilot.pause()
+        await asyncio.sleep(0.1)
+        await pilot.pause()
+        assert extensions_column.display is False
+        assert input_container.region.width > visible_input_width
+
+        await pilot.press("alt+p")
+        await pilot.pause()
+        await asyncio.sleep(0.1)
+        await pilot.pause()
+        assert extensions_column.display is True
+        assert input_container.region.width == visible_input_width
+
+
+def test_floating_panels_layout_scroll_and_toggle():
+    agent_service = SimpleNamespace(
+        sub_agents={"u1": SimpleNamespace(name="worker")},
+        foreground_uuid="u1",
+        foreground_coder=None,
+    )
+    with (
+        patch(
+            "cecli.helpers.agents.service.AgentService.get_instance",
+            return_value=agent_service,
+        ),
+        patch(
+            "cecli.helpers.agents.service.AgentService.get_registry",
+            return_value={"tester": None, "worker": None},
+        ),
+    ):
+        asyncio.run(_run_panel_checks())
+
+
+def test_floating_panels_key_registration():
+    from cecli.tui.app import TUI
+
+    tui = object.__new__(TUI)
+    tui.args = SimpleNamespace(tui_config=None)
+    config = tui._get_config()
+
+    assert config["key_bindings"]["panels"] == "alt+p"
+    assert hasattr(TUI, "action_toggle_floating_panels")