10 KiB
Agno — Parity Notes
Tracking notes for feature-matrix parity between this package and
showcase/integrations/langgraph-python/ (canonical reference).
Ported
See manifest.yaml for the authoritative list.
Initial parity push
prebuilt-sidebar,prebuilt-popup— chrome demos using the shared main agentchat-slots,chat-customization-css— chat customization pathsheadless-simple— minimal useAgent surfacefrontend-tools,frontend-tools-async— useFrontendTool (sync + async handlers)readonly-state-agent-context— useAgentContext read-only contexttool-rendering-default-catchall,tool-rendering-custom-catchall— wildcard-only tool rendering variants (newget_stock_price+roll_dicetools added to the Agno main agent)hitl-in-chatbooking flow — useHumanInTheLoop with a newbook_callexternal-execution toolhitl-in-app— frontend-tool + app-level approval dialog (frontend-only)
Second pass (deferred-demo recovery)
agentic-chat-reasoning,reasoning-default-render,tool-rendering-reasoning-chain— reasoning family. Verified Agno's AGUI interface emitsREASONING_MESSAGE_*events (agno/os/interfaces/agui/utils.pyimportsReasoningMessageStartEvent/ReasoningMessageContentEvent/ReasoningMessageEndEvent). Added a newreasoning_agentPython module withreasoning=Trueplus a secondAGUIinterface mounted at prefix/reasoning. The Next.js runtime aliases the three reasoning agent names to anHttpAgenttargeting/reasoning/agui.headless-complete— full chat from scratch onuseAgent+CopilotChatConfigurationProvider+ manualuseRenderToolCall/useRenderActivityMessage/useRenderCustomMessagescomposition. Reuses the Agno main agent via the default/api/copilotkitendpoint. MCP-Apps activity surface is intentionally omitted — Agno's AGUI adapter doesn't expose an MCP-Apps runtime. Every other generative-UI branch (per-tool renderers,useComponentfrontend tools, reasoning, custom messages, wildcard catch-all) is wired in.auth— dedicated/api/copilotkit-authruntime usingcreateCopilotRuntimeHandlerfrom@copilotkit/runtime/v2with anonRequesthook that rejects requests lacking a static Bearer token. Authenticated target is the Agno main agent at/agui.
Fourth pass (manifest fill — first half)
cli-start— informational demo entry (no route/agent) advertising the copy-paste starter command for Agno. Mirrors the canonicallanggraph-pythoncli-start cell.gen-ui-tool-based— already shipped as a haiku-renderer demo (frontend-only viauseFrontendTool+render); now declared inmanifest.yamlso the showcase picks it up. Wired to the main agent under thegen-ui-tool-basedalias insrc/app/api/copilotkit/route.ts.hitl-in-chat-booking— manifest entry pointing at the existinghitl-in-chattime-picker booking surface (same files, distinct cell). The Agno main agent'sbook_callexternal-execution tool already drives this flow.
Fifth pass (manifest fill — second half)
mcp-apps— runtimemcpApps.serversmiddleware against the public Excalidraw MCP server. Backed by a no-tools Agno agent (mcp_apps_agent.py) mounted at/mcp-apps/aguiso the LLM only sees the MCP-injected toolset.open-gen-ui/open-gen-ui-advanced— shared dedicated runtime (/api/copilotkit-ogui) with theopenGenerativeUIflag that wires the middleware. Backed by a no-tools Agno agent (open_gen_ui_agent.py) mounted at/open-gen-ui/agui. Advanced cell adds host-side sandbox functions (evaluateExpression,notifyHost) on the provider.agent-config— typed config object (tone/expertise/responseLength) forwarded via the provider'spropertiesprop. The Agno backend mounts a custom AGUI handler at/agent-config/agui(agent_server.py:: _run_agent_config) that readsRunAgentInput.forwarded_propsand builds a per-request Agno Agent fromagents.agent_config_agent.build_agent(...)before delegating to the stock AGUI stream mapper. Agno has no LangGraph-style configurable channel, so the per-request factory is the cleanest path to dynamic system prompts here.voice— V2 runtime under/api/copilotkit-voicewith a guardedTranscriptionServiceOpenAI. Targets the Agno main agent at/aguifor the chat side; transcription is purely runtime-side.multimodal— vision-capable Agno agent (multimodal_agent.py, gpt-4o) on its own/multimodal/aguiinterface, scoped via/api/copilotkit-multimodal. Image attachments forward natively; PDF flattening helper (_maybe_flatten_pdf_part) lives next to the agent for use if the AGUI converter needs assistance.byoc-hashbrown— dedicated/api/copilotkit-byoc-hashbrownruntime +byoc_hashbrown_agent.pywhose system prompt steers the LLM toward the hashbrown UI-kit envelope shape ({ "ui": [...] }).byoc-json-render— dedicated/api/copilotkit-byoc-json-renderruntimebyoc_json_render_agent.pywhose system prompt steers the LLM toward the json-render flat element-tree spec ({ root, elements }).
Sixth pass (A2UI fixed schema)
a2ui-fixed-schema— dedicated/api/copilotkit-a2ui-fixed-schemaruntime withinjectA2UITool: false. Newa2ui_fixed_agent.pymounted at/a2ui-fixed-schema/aguishipsflight_schema.json+booked_schema.jsonand a singledisplay_flighttool that emits ana2ui_operationscontainer directly — no secondary LLM call — so the LLM only fills in data (origin/destination/airline/price).booked_schema.jsonis shipped as a sibling for when the SDK exposes per-button action handlers for fixed-schema surfaces.
Seventh pass (A2UI dynamic schema)
declarative-gen-ui— dedicated/api/copilotkit-declarative-gen-uiruntime withinjectA2UITool: false. Newa2ui_dynamic_agent.pymounted at/declarative-gen-ui/aguiowns its owngenerate_a2uitool. Unlike the main agent's hardcoded-cataloggenerate_a2ui, this agent's tool reads the registered client catalog fromrun_context.session_state["copilotkit"]["context"]and feeds it to the secondary OpenAI client, so the rendered components stay in sync with whatever catalog the frontend registers via<CopilotKit a2ui={{ catalog }}>. Seesrc/app/demos/declarative-gen-ui/README.mdfor the differences vs. the main-agent path.
Third pass (state + multi-agent recovery)
shared-state-read-write— bidirectional shared state with the UI writingpreferencesviaagent.setState(...)and the agno agent writingnotesback via aset_notestool that mutatesrun_context.session_state["notes"]. Backed by a newshared_state_read_writeagent module + a custom AGUI handler inagent_server.pymounted at/shared-state-rw/agui. The custom handler is a thin shim aroundagno.os.interfaces.agui.utils's stream mapper that additionally emits aStateSnapshotEventwith the finalsession_stateimmediately beforeRunFinishedEvent— Agno's stock AGUI router does not emit state events, so without this shim agent-side state writes are invisible to a frontend subscribed viauseAgent({ updates: [OnStateChanged] }).subagents— supervisor agno agent delegating to three specialized sub-agents (research / writing / critique). Each sub-agent is itself an AgnoAgent(...)with its own system prompt, invoked via the delegation tools'_invoke_sub_agenthelper. Every delegation appends an entry tosession_state["delegations"](withrunningstatus pre-flight, then flipped tocompleted/failedpost-flight). Reuses the same/subagents/aguistate-aware AGUI handler so the delegation log re-renders live.
Skipped
The following demos from the canonical LangGraph-Python reference are intentionally NOT ported to this package. Each has a concrete reason tied to a genuine framework capability difference or infrastructure requirement that we couldn't validate in this blitz pass.
LangGraph-specific primitives (no direct Agno equivalent)
gen-ui-interrupt— Uses LangGraph'sinterrupt()primitive to pause the graph mid-run and resolve from the UI. Agno's AgentOS AGUI adapter does not expose an equivalent long-running-resume primitive at this time. We already shiphitl-in-chat-booking+hitl-in-app, which cover the user-facing HITL scenario via Agno's native tool-approval path.interrupt-headless— Same root cause asgen-ui-interrupt. Headless resume from a button grid requires a pause/resume handle the Agno AGUI adapter does not currently surface.
Require dedicated runtimes we haven't wired yet
These demos depend on dedicated /api/copilotkit-<variant>/route.ts runtimes in
the canonical reference. They are portable in principle — they just need new
route files each and supporting Python wiring — but doing them right requires
exercising Agno's runtime config paths we haven't validated yet. Deferred for a
follow-up parity pass rather than faked in.
beautiful-chat— combined runtime (openGenerativeUI + a2ui + mcpApps)byoc-hashbrown— dedicated/api/copilotkit-byoc-hashbrownruntime, requires Agno structured-output streaming matching the hashbrown Zod catalogbyoc-json-render— dedicated/api/copilotkit-byoc-json-renderruntime, requires streaming JSON-schema-constrained output from Agnomultimodal— dedicated/api/copilotkit-multimodalruntime; Agno supports multimodal input viaUserMessage(images=[...])but wiring vision to an AGUI-served agent needs a runtime surface we haven't builtvoice— dedicated/api/copilotkit-voiceruntime +@copilotkit/voice; voice STT is a frontend concern independent of the Agno agentopen-gen-ui,open-gen-ui-advanced— dedicated/api/copilotkit-oguiruntime; requires openGenerativeUI middleware on a V2 runtime talking to an Agno agentagent-config— dedicated/api/copilotkit-agent-configruntime with typed config forwarding; needs Agno dynamic-system-prompt wiring per-requestmcp-apps— requires Agno MCP client/server wiring; Agno hasagno.tools.mcp.MCPToolsbut integration with the AGUI adapter's activity-message surface wasn't verified
Not a real demo
cli-start— Copy-paste starter command rendered by the dashboard as a command card with no route/agent. The equivalent starter for Agno is already advertised viamanifest.yaml'sstarter:section.