This skill should be used when implementing, consuming, or debugging an Open Responses-compliant API — the open standard for multi-provider LLM interoperability. Covers protocol, items, state machines, streaming events, tools, the agentic loop pattern, and extensions. Triggers on: Open Responses, open-responses, /v1/responses endpoint, multi-provider LLM API, Open Responses compliance.
Installation
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This skill should be used when implementing, consuming, or debugging an Open Responses-compliant API — the open standard for multi-provider LLM interoperability. Covers protocol, items, state machines, streaming events, tools, the agentic loop pattern, and extensions. Triggers on: Open Responses, open-responses, /v1/responses endpoint, multi-provider LLM API, Open Responses compliance.
version
1.0.0
Open Responses
Open Responses is an open-source specification defining a unified HTTP protocol for multi-provider LLM interactions. It standardizes how clients and servers communicate — messages, tool calls, streaming, multimodal inputs, reasoning — so that code written against one provider works with any compliant provider.
This is the protocol standard itself, not any specific SDK. Open Responses is provider-agnostic. Any LLM provider (OpenAI, Anthropic, Gemini, Databricks, Hugging Face, Ollama, etc.) can implement a compliant API.
Stateless by default, stateful where needed. The core protocol does not require server-side session persistence. Multi-turn conversations can be threaded via previous_response_id, which instructs the server to reconstruct context from prior responses. However, providers may offer stateful features (e.g., server-side storage, conversation objects) as extensions. The spec notes that item states "do not necessarily mean they are stateful in the sense of being persisted to disk or stored long-term."
Design Principles
Multi-provider compatibility — one schema, any provider
Stateless-first protocol — context reconstruction via previous_response_id; providers may optionally offer persistence
Polymorphic items — all model outputs share a common item structure discriminated by type
Semantic streaming — SSE events map directly to state machine transitions
Extensible without fragmentation — vendor-prefixed extensions prevent namespace collisions
Extending the spec with provider-specific features
To search references for specific topics: grep for function_call, streaming, tool_choice, previous_response_id, vendor:, or other keywords.
Core Concepts
Endpoint and Transport
All requests go to POST /v1/responses with Authorization: Bearer <token> and Content-Type: application/json. Non-streaming responses return JSON. Streaming responses use SSE (text/event-stream) terminated by data: [DONE].
Items
Items are polymorphic atomic units discriminated by type. Output items (those emitted by the model in a response) must include id, type, and status fields. Core output types: message, function_call, reasoning. Providers extend with vendor-prefixed types (e.g., acme:web_search_call).
Input items (those sent by the client in a request) have different requirements per type. Content types like input_text, input_image, and input_file do not carry id or status. function_call_output items require call_id and output but treat id and status as optional.
Message roles:user, assistant, system, developer. The system role is distinct from the instructions parameter — it is an inline message item in the input array. The developer role is a separate role that providers may handle differently from system.
State Machines and Event Emission
The response and item lifecycles are both finite state machines. Each state constrains which events can be emitted.
Response Lifecycle — Events Emitted Per State
stateDiagram-v2
[*] --> created : response.created
created --> queued : response.queued
queued --> in_progress : response.in_progress
state in_progress {
direction LR
note right of in_progress
Events emittable while in_progress:
─────────────────────────────────
response.output_item.added
response.content_part.added
response.output_text.delta
response.output_text.done
response.function_call_arguments.delta
response.function_call_arguments.done
response.reasoning_summary_text.delta
response.reasoning_summary_text.done
response.content_part.done
response.output_item.done
vendor:custom_event
All delta events carry: sequence_number,
output_index, item_id
Content-level events also carry: content_index
end note
}
in_progress --> completed : response.completed
in_progress --> incomplete : response.incomplete\n(item hit token budget)
in_progress --> failed : response.failed
completed --> [*]
incomplete --> [*]
failed --> [*]
Note: If any item ends in incomplete status, the containing response MUST also be incomplete.
Item Lifecycle — Events Emitted Per State
stateDiagram-v2
[*] --> in_progress : response.output_item.added
state in_progress {
direction LR
note right of in_progress
Events emittable while item is in_progress:
──────────────────────────────────────────
Message items:
response.content_part.added
response.output_text.delta (repeated)
response.output_text.done
response.content_part.done
Function call items:
response.function_call_arguments.delta (repeated)
response.function_call_arguments.done
Reasoning items:
response.reasoning_summary_text.delta (repeated)
response.reasoning_summary_text.done
end note
}
in_progress --> completed : response.output_item.done
in_progress --> incomplete : response.output_item.done
completed --> [*]
incomplete --> [*]
note right of completed : Terminal — no further deltas
note right of incomplete : Terminal — token budget exhausted
Event Validity Summary
Response State
Valid Events
created
(transient — response object just created)
queued
(waiting for model availability)
in_progress
All delta events, all custom events, item lifecycle events
completed
(terminal — no more events except [DONE])
incomplete
(terminal — no more events except [DONE])
failed
(terminal — no more events except [DONE])
Item State
Valid Events
in_progress
Content deltas (.delta), content completion (.done), part lifecycle
completed
(terminal — no further deltas for this item)
incomplete
(terminal — no further deltas for this item)
All delta and item events carry sequence_number (monotonically increasing), output_index (position in response output array), and item_id. Content-level events (text, reasoning summary) additionally carry content_index (position within a content part). Servers SHOULD NOT use the SSE id field.
Streaming Events
Two categories of SSE events:
Delta events — incremental content: response.output_text.delta, response.function_call_arguments.delta, response.output_item.added, response.output_item.done, etc.
Rule: the event SSE header must match the type field inside the JSON body.
Tools
Open Responses defines two tool categories based on execution location.
Externally-hosted tools — implementation lives outside the provider's system. The model requests invocation via function_call items, and the developer must supply results as function_call_output items in a follow-up request. Note that "externally hosted" does not always mean the developer executes the tool locally — MCP tools are externally hosted (the implementation lives on external servers), but control is not necessarily yielded back to the developer first. Examples: function tools, MCP server tools.
Internally-hosted tools — implementation lives inside the provider's system. The provider executes without yielding control and returns results as provider-specific item types within the same response. These items must be losslessly round-trippable in follow-up requests. Examples: file search, code interpreter, web search.
Tool Definition
{"type":"function","name":"get_weather","description":"Get current weather for a location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"City name"},"units":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}
Tool Control
The tool_choice parameter controls whether and how the model uses tools:
tool_choice value
Purpose
"auto"
Model decides whether to call tools (default)
"required"
Model must invoke at least one tool
"none"
No tool calls permitted
{"type": "function", "name": "..."}
Force a specific tool
{"type": "allowed_tools", "tools": [...]}
Restrict which tools the model may invoke
The allowed_tools form is nested inside tool_choice, not a separate top-level parameter:
The model MUST restrict its tool calls to the subset named in allowed_tools. Servers MUST enforce this as a hard constraint. Tool definitions remain in the model's context, preserving prompt cache.
Agentic Loop Pattern
The agentic loop is the core pattern for multi-step, tool-augmented workflows.
Stateless-first iteration — Each loop iteration is a new HTTP request. The server reconstructs context from previous_response_id. Providers may optionally persist state, but the protocol does not require it.
Developer controls external tool execution — For externally-hosted function tools, the developer decides when to execute, what results to return, and whether to continue. For MCP tools (also externally hosted), execution may happen without first yielding control to the developer.
Parallel tool calls — The model may emit multiple function_call items in a single response. Execute all of them and return all results in one follow-up request.
Loop termination — The loop ends when no client-satisfied external tool calls remain in the response. The final response may contain not just message items but also reasoning items, internally-hosted tool items, and other non-message output items.
Provider handles internal tools — For internally-hosted tools, the provider executes within the same request and returns provider-specific item types. No developer loop required.
Example: Multi-Tool Agent
Turn 1 — Request with tools:
{"model":"provider/model-name","input":[{"type":"message","role":"user","content":"Compare the weather in Paris and Tokyo."}],"tools":[{"type":"function","name":"get_weather","description":"Get current weather for a city","parameters":{"type":"object","properties":{"location":{"type":"string"}},"required":["location"]}}]}
Turn 1 — Model emits two parallel function_call items:
Turn 2 — Model synthesizes final answer (no function_call items = loop ends):
{"id":"resp_101","status":"completed","output":[{"id":"item_200","type":"message","role":"assistant","status":"completed","content":[{"type":"output_text","text":"Paris is currently 18°C and partly cloudy. Tokyo is warmer at 24°C with sunny skies."}]}]}
Multi-Turn Conversations
Multi-turn conversations use previous_response_id to chain context. The server reconstructs the full conversation by walking the response chain (providers may also support server-side persistence as an extension):
Server loads: previous_response.input + previous_response.output + new_input
// Turn 1{"model":"provider/model-name","input":[{"type":"message","role":"user","content":"What is the population of France?"}]}// Response: {"id": "resp_200", ...}// Turn 2 — references Turn 1{"model":"provider/model-name","previous_response_id":"resp_200","input":[{"type":"message","role":"user","content":"And what about Germany?"}]}
Extensions
Open Responses supports four extension mechanisms, all using vendor-prefixed names to prevent collisions. For full details with examples, load references/extensions.md.
Mechanism
Naming Pattern
Required Fields
Constraint
Custom Items
vendor:type_name
id, type, status
Must follow item state machine, must round-trip
Custom Events
vendor:event_name
type, sequence_number
Must not alter core semantics or token order
Schema Extensions
vendor-prefixed fields
N/A (optional fields)
Must not break clients ignoring unknown fields
Governance Path
N/A
N/A
Broad adoption -> TSC proposal -> core spec
Clients must silently ignore unknown item types and event types — this is the forward-compatibility contract.
Compliance
An API is Open Responses-compliant if it implements the spec directly or is a proper superset. The published acceptance test suite is available at https://www.openresponses.org/.
Core Compliance Tests
Test
Validates
Basic Text Response
ResponseResource schema, item structure, usage
Streaming Response
SSE events, correct ordering, final structure
System Prompt
instructions parameter, system role handling
Tool Calling
Function tool definition, function_call output, round-tripping
Image Input
Image URL in user content
Multi-turn Conversation
Message history, assistant + user turns
Server Implementation Checklist
POST /v1/responses endpoint with Authorization header
Valid output items with id, type, status; input items per their type requirements
Item state machine: in_progress -> completed / incomplete
Response state machine: created -> queued -> in_progress -> completed / incomplete / failed
