Dev/0.6.17 (#769)

* Capture typed session snapshots on save

* Split transcript restore from usage rehydration

* session improvements, long response banner

* bumps and pins

* opus47, kimi25 instruct, final turn banner!

* Update skills-repo submodule

* fix tests, capabiltiies

Author: evalstate

examples/mcp/vision-examples/fastagent.config.yaml

@@ -4,7 +4,7 @@
 # 
 # Takes format:
 #   <provider>.<model_string>?reasoning=<value> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini?reasoning=low)
-# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3, opus46, opus47, opus46, opus47
 # and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
 #
 # If not specified, defaults to "haiku". 

examples/openapi/fastagent.config.yaml

@@ -4,7 +4,7 @@
 #
 # Takes format:
 #   <provider>.<model_string>?reasoning=<value> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini?reasoning=low)
-# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3, opus46, opus47, opus46, opus47
 # and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
 #
 # If not specified, defaults to "gpt-5-mini?reasoning=low".

examples/otel/fastagent.config.yaml

@@ -4,7 +4,7 @@
 #
 # Takes format:
 #   <provider>.<model_string>?reasoning=<value> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini?reasoning=low)
-# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3, opus46, opus47, opus46, opus47
 # and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
 #
 # If not specified, defaults to "haiku".

examples/setup/fastagent.config.yaml

@@ -4,7 +4,7 @@
 #
 # Takes format:
 #   <provider>.<model_string>?reasoning=<value> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini?reasoning=low)
-# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3, opus46, opus47, opus46, opus47
 # and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
 #
 # If not specified, defaults to "gpt-5-mini?reasoning=low".
@@ -66,6 +66,8 @@ logger:
   progress_display: true
   # Show chat User/Assistant messages on the console
   show_chat: true
+  # Show a bright banner before reprinted final streamed responses
+  stream_reprint_banner: true
   # Show tool calls on the console
   show_tools: true
   # Truncate long tool responses on the console

examples/workflows-md/hf-api-agent/fastagent.config.yaml

@@ -4,7 +4,7 @@
 #
 # Takes format:
 #   <provider>.<model_string>?reasoning=<value> (e.g. anthropic.claude-3-5-sonnet-20241022 or openai.o3-mini?reasoning=low)
-# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3
+# Accepts aliases for Anthropic Models: haiku, haiku3, sonnet, sonnet35, opus, opus3, opus46, opus47, opus46, opus47
 # and OpenAI Models: gpt-4.1, gpt-4.1-mini, o1, o1-mini, o3-mini
 #
 # If not specified, defaults to "gpt-5-mini?reasoning=low".

publish/hf-inference-acp/src/hf_inference_acp/wizard/model_catalog.py

@@ -58,11 +58,11 @@ def _get_model_string(alias: str) -> str:
         display_name="Kimi K2.5 (Thinking)",
         description="Kimi 2.5 thinking profile with curated defaults (temp=1.0, top_p=0.95).",
     ),
-    # CuratedModel(
-    #     id="kimi25instant",
-    #     display_name="Kimi K2.5 Instant",
-    #     description="Kimi 2.5 instant profile with thinking disabled (temp=0.6, top_p=0.95).",
-    # ),
+    CuratedModel(
+        id="kimi25instant",
+        display_name="Kimi K2.5 Instant",
+        description="Kimi 2.5 instant profile with thinking disabled (temp=0.6, top_p=0.95).",
+    ),
     CuratedModel(
         id="qwen35",
         display_name="Qwen 3.5 (Thinking)",
@@ -150,7 +150,7 @@ def format_model_list_help() -> str:
             "**Examples:**",
             "- `/set-model kimi` - Use the Kimi K2 model",
             "- `/set-model glm` - Use GLM 4.6",
-            # "- `/set-model kimi25instant` - Use Kimi 2.5 instant profile",
+            "- `/set-model kimi25instant` - Use Kimi 2.5 instant profile",
             "- `/set-model qwen35instruct` - Use Qwen 3.5 with instruct sampling profile",
             "- `/set-model moonshotai/Kimi-K2-Thinking` - Set model (autoroute) and show providers",
             "",

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "fast-agent-mcp"
-version = "0.6.16"
+version = "0.6.17"
 description = "Define, Prompt and Test MCP enabled Agents and Workflows"
 readme = "README.md"
 license = { file = "LICENSE" }
@@ -14,39 +14,39 @@ classifiers = [
 ]
 requires-python = ">=3.13.5,<3.15"
 dependencies = [
-    "fastapi>=0.121.0",
-    "fastmcp==3.2.0",
+    "fastapi==0.136.0",
+    "fastmcp==3.2.3",
     "mcp==1.27.0",
-    "pydantic-settings>=2.7.0",
-    "pydantic>=2.10.4",
-    "pyyaml>=6.0.2",
-    "rich>=14.3.3",
-    "typer>=0.24.1",
-    "anthropic[vertex]>=0.86.0",
+    "pydantic-settings==2.13.0",
+    "pydantic==2.13.1",
+    "pyyaml==6.0.3",
+    "rich==14.3.3",
+    "typer==0.24.1",
+    "anthropic[vertex]==0.96.0",
     "openai[aiohttp]==2.31.0",
-    "prompt-toolkit>=3.0.52",
-    "aiohttp>=3.13.2",
+    "prompt-toolkit==3.0.52",
+    "aiohttp==3.13.5",
     "opentelemetry-distro==0.60b1",
     "opentelemetry-exporter-otlp-proto-http==1.39.1",
     "opentelemetry-instrumentation-openai==0.52.1; python_version >= '3.10' and python_version < '4.0'",
     "opentelemetry-instrumentation-anthropic==0.52.1; python_version >= '3.10' and python_version < '4.0'",
     "opentelemetry-instrumentation-mcp==0.52.1; python_version >= '3.10' and python_version < '4.0'",
     "opentelemetry-instrumentation-google-genai==0.6b0",
-    "google-genai>=1.66.0",
-    "deprecated>=1.2.18",
-    "a2a-sdk>=0.3.16",
-    "email-validator>=2.2.0",
-    "pyperclip>=1.9.0",
-    "keyring>=24.3.1",
-    "python-frontmatter>=1.1.0",
-    "watchfiles>=1.1.0",
+    "google-genai==1.66.0",
+    "deprecated==1.3.1",
+    "a2a-sdk==0.3.26",
+    "email-validator==2.2.0",
+    "pyperclip==1.9.0",
+    "keyring==25.7.0",
+    "python-frontmatter==1.1.0",
+    "watchfiles==1.1.1",
     "agent-client-protocol==0.9.0",
-    "jsonschema>=4.25.1",
-    "tiktoken>=0.12.0",
-    "uvloop>=0.22.1; platform_system != 'Windows'",
-    "multilspy>=0.0.15",
-    "ruamel.yaml>=0.18.16",
-    "mslex>=1.3.0",
+    "jsonschema==4.25.1",
+    "tiktoken==0.12.0",
+    "uvloop==0.22.1; platform_system != 'Windows'",
+    "multilspy==0.0.15",
+    "ruamel.yaml==0.19.1",
+    "mslex==1.3.0",
 ]
 
 [project.optional-dependencies]

scripts/session_usage_bounce.py

@@ -136,6 +136,22 @@ def _select_history_files(session_dir: Path) -> list[Path]:
                 if selected:
                     return sorted(selected)
 
+            continuation = _as_dict(payload.get("continuation")) or {}
+            agents = _as_dict(continuation.get("agents")) or {}
+            selected = []
+            for agent_payload in agents.values():
+                agent_entry = _as_dict(agent_payload)
+                if agent_entry is None:
+                    continue
+                history_file = agent_entry.get("history_file")
+                if not isinstance(history_file, str) or history_file.endswith("_previous.json"):
+                    continue
+                candidate = session_dir / history_file
+                if candidate.exists() and candidate not in selected:
+                    selected.append(candidate)
+            if selected:
+                return sorted(selected)
+
     return sorted(
         path
         for path in session_dir.glob("history_*.json")

skills-repo

@@ -501,6 +501,14 @@ async def _refresh_session_state(
     ) -> None:
         await self._session_runtime.refresh_session_state(session_state, instance)
 
+    async def _hydrate_session_state_from_persisted_session(
+        self,
+        session_state: ACPSessionState,
+    ) -> bool:
+        return await self._session_store.hydrate_session_state_from_persisted_session(
+            session_state
+        )
+
     async def _attach_mcp_server_for_session(
         self,
         session_state: ACPSessionState,