venice-responses: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported venice_parameters subset, and E2EE behavior.

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Venice Responses API (Alpha)

POST /api/v1/responses is Venice's OpenAI-compatible Responses endpoint. It returns a structured, typed output array instead of a single message.content string — ideal for agents that need to separate reasoning, messages, tool calls, and built-in tool events.

Alpha. Access is gated behind the responsesApiEnabled flag on Bearer API keys (staff-only during beta). x402 wallet auth bypasses this flag — you can pay per request without the flag. Schemas may change.

Use when

You need the OpenAI Responses-style response shape (output[] with typed type: "reasoning" | "message" | "function_call" | "web_search_call" blocks) for a client library that expects it.
You want clean separation of reasoning vs message vs tool-call output.
You want streaming via SSE with typed events.

Otherwise use venice-chat — it has more features, more models, and full Venice parameters.

Limitations vs `/chat/completions`

Limitation	Detail
Stateless	No conversation persistence across requests. Send the full history each call.
E2EE models default to rejection	E2EE-capable models return `400` unless you pass `venice_parameters.enable_e2ee: false` (TEE-only mode). For end-to-end encrypted inference with E2EE headers, use `/chat/completions`.
Subset of `venice_parameters`	`character_slug`, `enable_e2ee`, `enable_web_search`, `enable_web_scraping`, `enable_web_citations`, `include_venice_system_prompt`, `include_search_results_in_stream` are supported. `strip_thinking_response`, `disable_thinking`, `enable_x_search` are not wired through in Alpha.
Access gated by feature flag	Bearer keys without `responsesApiEnabled` get `401`. x402 requests are allowed (pay-per-call).

Authentication

Same as the rest of the API — either Authorization: Bearer <key> or SIGN-IN-WITH-X: <SIWX>. See venice-auth.

Minimal request

curl https://api.venice.ai/api/v1/responses \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5-1",
    "input": "Explain why the sky is blue in one paragraph."
  }'

input accepts:

a plain string, or
an array of typed input items (similar to chat/completions message parts) for multi-turn or multimodal history.

Response shape

{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "model": "zai-org-glm-5-1",
  "status": "completed",
  "output": [
    {
      "type": "reasoning",
      "id": "rs_1",
      "summary": ["I considered Rayleigh scattering..."],
      "encrypted_content": "..."
    },
    {
      "type": "message",
      "id": "msg_1",
      "status": "completed",
      "role": "assistant",
      "content": [{
        "type": "output_text",
        "text": "The sky is blue because...",
        "annotations": [{
          "type": "url_citation",
          "url": "https://example.com/rayleigh",
          "title": "Rayleigh scattering",
          "start_index": 42,
          "end_index": 99
        }]
      }]
    },
    {
      "type": "function_call",
      "id": "fc_1",
      "call_id": "call_abc",
      "name": "get_weather",
      "arguments": "{\"city\":\"Paris\"}",
      "status": "completed"
    },
    {
      "type": "web_search_call",
      "id": "ws_1",
      "status": "completed"
    }
  ],
  "usage": {
    "input_tokens": 20,
    "input_tokens_details": {"cached_tokens": 0},
    "output_tokens": 80,
    "output_tokens_details": {"reasoning_tokens": 40},
    "total_tokens": 100
  }
}

Top-level status ∈ completed | failed | in_progress | cancelled. On failed, error.code and error.message are populated.

Output block types

`type`	Purpose
`reasoning`	Thought process from reasoning models. `summary[]` holds human-readable text; `encrypted_content` holds opaque signatures — round-trip verbatim for multi-turn tool calls.
`message`	Main text output. `content[].type === "output_text"`, plus `annotations[]` for `url_citation` entries from web search.
`function_call`	Tool call: `name`, stringified-JSON `arguments`, `call_id`.
`web_search_call`	Sentinel showing the built-in web_search tool fired; use alongside `url_citation` annotations on messages.

Match tool outputs back by call_id when continuing the turn.

Common request fields

Field	Notes
`model`	Required. Model ID, trait, or compatibility mapping. Feature suffixes allowed (see `venice-chat`).
`input`	Required. String or input-items array. To set system/developer context, include a leading message with `role: "system"`/`"developer"` in the input array.
`tools`	Array of `{type:"function",function:{...}}` or built-in `{type:"web_search"}` — availability depends on the model.
`tool_choice`	`"auto"` / `"required"` / `"none"` / `{type:"function",function:{"name":"..."}}`.
`reasoning.effort`	Reasoning effort hint for thinking models (`"low"` \| `"medium"` \| `"high"`). Mapped to `reasoning_effort`.
`temperature`, `top_p`, `max_output_tokens`	Standard generation controls. `max_output_tokens` maps to `max_tokens`.
`web_search`	Boolean shortcut for enabling web search, equivalent to adding `{"type":"web_search"}` to `tools` or setting `venice_parameters.enable_web_search`.
`include`	Array of additional response fields to include (OpenAI compat).
`fallbacks`	Up to 10 entries. Anthropic beta parameter for Claude Fable 5 server-side refusal fallback; forwarded only on direct Anthropic routes.
`stream`	Boolean. SSE response with typed events (`response.created`, `response.output_item.added`, `response.output_text.delta`, `response.completed`, …).
`venice_parameters`	Subset listed above. Example: `{"character_slug":"alan-watts","enable_web_search":"on"}`.

Silently dropped generation controls. n, stop, seed, and prompt_cache_key are not in the Alpha schema and are not translated to /chat/completions. The request body is permissive, so sending them does not error — they just never reach inference. If you need reproducible sampling (seed), stop sequences, or explicit cache routing, stay on /chat/completions.

Fields commonly found in OpenAI's Responses API that are not in Venice's Alpha schema (and silently ignored or rejected by Zod): instructions, metadata, parallel_tool_calls, response_format, store, previous_response_id, background. For response_format / JSON-schema structured output, use /chat/completions.

Streaming

With stream: true, the response is an SSE stream of typed events. Typical flow:

event: response.created
event: response.output_item.added        # type=reasoning
event: response.reasoning.delta
event: response.output_item.added        # type=message
event: response.content_part.added
event: response.output_text.delta
event: response.output_text.delta
event: response.output_item.done
event: response.completed

Consume events in order and reconstruct output[] client-side; the shape on response.completed matches the non-streamed response exactly.

Authentication & error responses

400 — bad request; also returned when an E2EE-capable model is used without venice_parameters.enable_e2ee: false.
401 — auth failed, or Bearer key lacks responsesApiEnabled, or the model is Pro-only and you're on an INFERENCE key / x402 wallet.
402 — insufficient balance. Bearer → { error: "INSUFFICIENT_BALANCE" }. x402 → PAYMENT_REQUIRED with topUpInstructions and siwxChallenge (see venice-x402).
429 — rate-limited.
500 — inference failed.

X-Balance-Remaining is on 200 responses when using x402 auth; PAYMENT-REQUIRED header on 402.

Migration notes

Port messages → pass as input (string, or typed array with leading {role:"system"|"developer", content:"..."}).
venice_parameters.character_slug → supported; pass inside venice_parameters or as a model feature suffix (:character_slug=alan-watts).
venice_parameters.enable_web_search → pass inside venice_parameters, or append :enable_web_search=on to the model ID, or add {"type":"web_search"} to tools.
venice_parameters.strip_thinking_response / disable_thinking → not supported on /responses in Alpha; stay on /chat/completions for these.
Full E2EE flow (E2EE request headers + encrypted response) → stay on /chat/completions. For TEE-only inference on an E2EE-capable model, pass venice_parameters.enable_e2ee: false here.
response_format / JSON-schema structured output → stay on /chat/completions.

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File metadata

name: venice-responses
description: Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported venice_parameters subset, and E2EE behavior.

View original text

---
name: venice-responses
description: Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported venice_parameters subset, and E2EE behavior.
---

# Venice Responses API (Alpha)

`POST /api/v1/responses` is Venice's OpenAI-compatible Responses endpoint. It returns a **structured, typed output array** instead of a single `message.content` string — ideal for agents that need to separate reasoning, messages, tool calls, and built-in tool events.

> **Alpha.** Access is gated behind the `responsesApiEnabled` flag on Bearer API keys (staff-only during beta). x402 wallet auth bypasses this flag — you can pay per request without the flag. Schemas may change.

## Use when

- You need the OpenAI Responses-style response shape (`output[]` with typed `type: "reasoning" | "message" | "function_call" | "web_search_call"` blocks) for a client library that expects it.
- You want clean separation of reasoning vs message vs tool-call output.
- You want streaming via SSE with typed events.

Otherwise use [`venice-chat`](../venice-chat/SKILL.md) — it has more features, more models, and full Venice parameters.

## Limitations vs `/chat/completions`

| Limitation | Detail |
|---|---|
| **Stateless** | No conversation persistence across requests. Send the full history each call. |
| **E2EE models default to rejection** | E2EE-capable models return `400` unless you pass `venice_parameters.enable_e2ee: false` (TEE-only mode). For end-to-end encrypted inference with E2EE headers, use `/chat/completions`. |
| **Subset of `venice_parameters`** | `character_slug`, `enable_e2ee`, `enable_web_search`, `enable_web_scraping`, `enable_web_citations`, `include_venice_system_prompt`, `include_search_results_in_stream` are supported. `strip_thinking_response`, `disable_thinking`, `enable_x_search` are **not** wired through in Alpha. |
| **Access gated by feature flag** | Bearer keys without `responsesApiEnabled` get `401`. x402 requests are allowed (pay-per-call). |

## Authentication

Same as the rest of the API — either `Authorization: Bearer <key>` or `SIGN-IN-WITH-X: <SIWX>`. See [`venice-auth`](../venice-auth/SKILL.md).

## Minimal request

```bash
curl https://api.venice.ai/api/v1/responses \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5-1",
    "input": "Explain why the sky is blue in one paragraph."
  }'
```

`input` accepts:
- a plain string, or
- an array of typed input items (similar to `chat/completions` message parts) for multi-turn or multimodal history.

## Response shape

```json
{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "model": "zai-org-glm-5-1",
  "status": "completed",
  "output": [
    {
      "type": "reasoning",
      "id": "rs_1",
      "summary": ["I considered Rayleigh scattering..."],
      "encrypted_content": "..."
    },
    {
      "type": "message",
      "id": "msg_1",
      "status": "completed",
      "role": "assistant",
      "content": [{
        "type": "output_text",
        "text": "The sky is blue because...",
        "annotations": [{
          "type": "url_citation",
          "url": "https://example.com/rayleigh",
          "title": "Rayleigh scattering",
          "start_index": 42,
          "end_index": 99
        }]
      }]
    },
    {
      "type": "function_call",
      "id": "fc_1",
      "call_id": "call_abc",
      "name": "get_weather",
      "arguments": "{\"city\":\"Paris\"}",
      "status": "completed"
    },
    {
      "type": "web_search_call",
      "id": "ws_1",
      "status": "completed"
    }
  ],
  "usage": {
    "input_tokens": 20,
    "input_tokens_details": {"cached_tokens": 0},
    "output_tokens": 80,
    "output_tokens_details": {"reasoning_tokens": 40},
    "total_tokens": 100
  }
}
```

Top-level `status` ∈ `completed` | `failed` | `in_progress` | `cancelled`. On `failed`, `error.code` and `error.message` are populated.

## Output block types

| `type` | Purpose |
|---|---|
| `reasoning` | Thought process from reasoning models. `summary[]` holds human-readable text; `encrypted_content` holds opaque signatures — round-trip verbatim for multi-turn tool calls. |
| `message` | Main text output. `content[].type === "output_text"`, plus `annotations[]` for `url_citation` entries from web search. |
| `function_call` | Tool call: `name`, stringified-JSON `arguments`, `call_id`. |
| `web_search_call` | Sentinel showing the built-in web_search tool fired; use alongside `url_citation` annotations on messages. |

Match tool outputs back by `call_id` when continuing the turn.

## Common request fields

| Field | Notes |
|---|---|
| `model` | Required. Model ID, trait, or compatibility mapping. Feature suffixes allowed (see [`venice-chat`](../venice-chat/SKILL.md#model-feature-suffixes)). |
| `input` | Required. String or input-items array. To set system/developer context, include a leading message with `role: "system"`/`"developer"` in the input array. |
| `tools` | Array of `{type:"function",function:{...}}` or built-in `{type:"web_search"}` — availability depends on the model. |
| `tool_choice` | `"auto"` / `"required"` / `"none"` / `{type:"function",function:{"name":"..."}}`. |
| `reasoning.effort` | Reasoning effort hint for thinking models (`"low"` \| `"medium"` \| `"high"`). Mapped to `reasoning_effort`. |
| `temperature`, `top_p`, `max_output_tokens` | Standard generation controls. `max_output_tokens` maps to `max_tokens`. |
| `web_search` | Boolean shortcut for enabling web search, equivalent to adding `{"type":"web_search"}` to `tools` or setting `venice_parameters.enable_web_search`. |
| `include` | Array of additional response fields to include (OpenAI compat). |
| `fallbacks` | Up to 10 entries. Anthropic beta parameter for Claude Fable 5 server-side refusal fallback; forwarded only on direct Anthropic routes. |
| `stream` | Boolean. SSE response with typed events (`response.created`, `response.output_item.added`, `response.output_text.delta`, `response.completed`, …). |
| `venice_parameters` | Subset listed above. Example: `{"character_slug":"alan-watts","enable_web_search":"on"}`. |

**Silently dropped generation controls.** `n`, `stop`, `seed`, and
`prompt_cache_key` are not in the Alpha schema and are not translated to
`/chat/completions`. The request body is permissive, so sending them does not
error — they just never reach inference. If you need reproducible sampling
(`seed`), stop sequences, or explicit cache routing, stay on
`/chat/completions`.

Fields commonly found in OpenAI's Responses API that are **not** in Venice's Alpha schema (and silently ignored or rejected by Zod): `instructions`, `metadata`, `parallel_tool_calls`, `response_format`, `store`, `previous_response_id`, `background`. For `response_format` / JSON-schema structured output, use `/chat/completions`.

## Streaming

With `stream: true`, the response is an SSE stream of typed events. Typical flow:

```
event: response.created
event: response.output_item.added        # type=reasoning
event: response.reasoning.delta
event: response.output_item.added        # type=message
event: response.content_part.added
event: response.output_text.delta
event: response.output_text.delta
event: response.output_item.done
event: response.completed
```

Consume events in order and reconstruct `output[]` client-side; the shape on `response.completed` matches the non-streamed response exactly.

## Authentication & error responses

- `400` — bad request; also returned when an E2EE-capable model is used without `venice_parameters.enable_e2ee: false`.
- `401` — auth failed, or Bearer key lacks `responsesApiEnabled`, or the model is Pro-only and you're on an INFERENCE key / x402 wallet.
- `402` — insufficient balance. Bearer → `{ error: "INSUFFICIENT_BALANCE" }`. x402 → `PAYMENT_REQUIRED` with `topUpInstructions` and `siwxChallenge` (see [`venice-x402`](../venice-x402/SKILL.md)).
- `429` — rate-limited.
- `500` — inference failed.

`X-Balance-Remaining` is on 200 responses when using x402 auth; `PAYMENT-REQUIRED` header on 402.

## Migration notes

- Port `messages` → pass as `input` (string, or typed array with leading `{role:"system"|"developer", content:"..."}`).
- `venice_parameters.character_slug` → **supported**; pass inside `venice_parameters` or as a model feature suffix (`:character_slug=alan-watts`).
- `venice_parameters.enable_web_search` → pass inside `venice_parameters`, or append `:enable_web_search=on` to the model ID, or add `{"type":"web_search"}` to `tools`.
- `venice_parameters.strip_thinking_response` / `disable_thinking` → **not supported on `/responses`** in Alpha; stay on `/chat/completions` for these.
- Full E2EE flow (E2EE request headers + encrypted response) → stay on `/chat/completions`. For TEE-only inference on an E2EE-capable model, pass `venice_parameters.enable_e2ee: false` here.
- `response_format` / JSON-schema structured output → stay on `/chat/completions`.

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Source repository: veniceai/skills
License: MIT
Version: 1.0.0
Last GitHub push: Aug 31, 2026
Registry updated: Sep 6, 2026
Instruction path: skills/venice-responses/SKILL.md @ be69bebc4703

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      "install": "npx skills add veniceai/skills --skill venice-responses",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "research",
      "agent-skill"
    ],
    "known_risks": [
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 139 stars, 20 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 77,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 139 stars, 20 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 68,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "17d since push",
    "risk": "Risky"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use venice-responses in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 72/100 Strong shortlist",
      "Audit: 77/100 Risky",
      "Safety: 37/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "veniceai-venice-responses (venice-responses)",
      "install_command": "npx skills add veniceai/skills --skill venice-responses",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "veniceai-venice-responses",
      "task": "Use venice-responses in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/veniceai-venice-responses",
    "api": "https://www.openagentskill.com/api/agent/skills/veniceai-venice-responses",
    "audit": "https://www.openagentskill.com/skills/veniceai-venice-responses/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=veniceai-venice-responses&task=Use%20venice-responses%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20venice-responses%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20venice-responses%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/veniceai-venice-responses/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/veniceai-venice-responses"
  }
}

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Creator: veniceai
Source: veniceai/skills
Indexed by: OpenAgentSkill community index

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