2026-10-22
Loading…| Method | Path | Description | Support |
|---|---|---|---|
| POST | /v1/chat/completions | Create chat completion | ● Supported |
| POST | /v1/responses | Create a response | ● Supported |
| GET | /v1/responses/{response_id} | Retrieve a response | ● Supported |
| DELETE | /v1/responses/{response_id} | Delete a response | ● Supported |
| POST | /v1/responses/{response_id}/cancel | Cancel a response | ◐ Partial |
| GET | /v1/responses/{response_id}/input_items | List input items | ● Supported |
| POST | /v1/responses/compact | Compact a response | ○ Unsupported |
| POST | /v1/responses/input_tokens | Count input tokens | ○ Unsupported |
| POST | /v1/conversations | Create a conversation | ● Supported |
| GET | /v1/conversations/{conversation_id} | Retrieve a conversation | ● Supported |
| POST | /v1/conversations/{conversation_id} | Update a conversation | ● Supported |
| DELETE | /v1/conversations/{conversation_id} | Delete a conversation | ● Supported |
| POST | /v1/conversations/{conversation_id}/items | Create conversation items | ● Supported |
| GET | /v1/conversations/{conversation_id}/items | List conversation items | ● Supported |
| GET | /v1/conversations/{conversation_id}/items/{item_id} | Retrieve a conversation item | ● Supported |
| DELETE | /v1/conversations/{conversation_id}/items/{item_id} | Delete a conversation item | ● Supported |
| POST | /v1/images/generations | Create an image | ● Supported |
| GET | /v1/models | List models | ● Supported |
| GET | /v1/models/{model} | Retrieve model | ● Supported |
| POST | /v1/embeddings | Create embeddings | ● Supported |
| POST | /v1/videos | Create video | ● Supported |
| GET | /v1/videos | List videos | ● Supported |
| GET | /v1/videos/{video_id} | Retrieve video | ● Supported |
| GET | /v1/videos/{video_id}/content | Download video content | ● Supported |
| DELETE | /v1/videos/{video_id} | Delete video | ● Supported |
| POST | /v1/videos/{video_id}/remix | Remix video | ○ Unsupported |
| POST | /v1/audio/transcriptions | Transcribe audio | ● Supported |
| POST | /v1/files | Upload a file | ◐ Partial |
| GET | /v1/files | List files | ● Supported |
| GET | /v1/files/{file_id} | Retrieve file | ● Supported |
| DELETE | /v1/files/{file_id} | Delete file | ● Supported |
| GET | /v1/files/{file_id}/content | Retrieve file content | ● Supported |
| POST | /v1/audio/speech | Generate speech | ● Supported |
| POST | /v1/images/edits | Edit images | ● Supported |
Vector stores (16 operations): create stores, attach files, manage batches and search.
These endpoints are unavailable under /openai/v1 and return 404. The alternatives are workflows, not equivalent endpoints.
| Endpoint | Alternative |
|---|---|
/v1/moderations | No alternative endpoint |
/v1/batches | Call the required model endpoint individually |
/v1/fine_tuning | Use an existing model from the catalog |
/v1/assistants | Build sessions with Responses and Conversations |
/v1/completions | Use chat/completions |
/v1/audio/translations | Transcribe with audio/transcriptions, then translate with chat/completions |
/v1/uploads | Upload files with files |
/v1/images/variations | Submit an image and editing prompt with images/edits |
For authoritative parameter definitions, see the official OpenAI documentation.
Errors follow the OpenAI format, see errors; quotas and response headers are covered in rate limits.
/openai/v1/chat/completions● SupportedX-OpenRouter-Metadatastring可选○ Currently ignoredheader: Opt-in to surface routing metadata on the response under `openrouter_metadata`. Defaults to `disabled`. The legacy header `X-OpenRouter-Experimental-Metadata` is also accepted for backward compatibility.
Accepted but currently has no effect; the requested routing metadata is not returned.
messagesarray必填◐ Partially supportedList of messages for the conversation
Text, roles, history and tool round trips work. Images have model-specific size limits. file_id accepts user_data images, text and PDF; see the [file reference guide](/en/docs/cloud/services/model/guides/files) for model support and failure handling.
元素按 role 区分(assistant / developer / system / tool / user),此处展开其中一种的形状
configuration_updateobject可选OpenRouter extension. Same as the system message `configuration_update`: changes reasoning effort from this point in the conversation onward without invalidating the prompt cache for the preceding turns.
contentstring | array可选Tool response content
namestring可选Optional name for the assistant
rolestring可选Role of the message author; always tool.
audioobject可选Audio output data or reference
imagesarray可选Generated images from image generation models
modelstring可选Model that generated this assistant message
reasoningstring可选Reasoning output
reasoning_detailsarray可选Reasoning details for extended thinking models
refusalstring可选Refusal message if content was refused
tool_callsarray可选Tool calls made by the assistant
tool_call_idstring可选ID of the assistant message tool call this message responds to
modelstring可选Model to use for completion
Primary model; optional when a nonempty models list supplies the first candidate.
streamboolean可选◐ Partially supportedEnable streaming response
Content and tool deltas stream; gemini-2.5-flash may omit the end sentinel and budget exhaustion may report an incorrect finish_reason.
temperaturenumber可选◐ Partially supportedSampling temperature (0-2)
An effect was observed on deepseek-v4-flash via /openai; sampling effects on other models remain unobservable.
max_tokensinteger可选◐ Partially supportedMaximum tokens (deprecated, use max_completion_tokens). Note: some providers enforce a minimum of 16.
Works on deepseek-v4-flash and glm-5.3-flash; small budgets may not take effect on qwen3.8-flash. Takes precedence over max_completion_tokens.
top_pnumber可选◐ Partially supportedNucleus sampling parameter (0-1)
An effect was observed only on glm-5.3-flash via /model; other tested models or faces accepted it without an observed effect.
stopstring | array可选◐ Partially supportedStop sequences (up to 4)
Works on qwen3.8-flash; deepseek-v4-flash and glm-5.3-flash may stop during reasoning and return empty content.
toolsarray可选Available tools for function calling
Verified to take effect.
tool_choicestring | object可选◐ Partially supportedTool choice configuration
auto works. deepseek-v4-flash ignores none/required/named functions; qwen3.8-flash rejects required/named functions in thinking mode; named selection on glm-5.3-flash is inconsistent.
functionobject必填The function the model must call.
typestring必填OpenRouter server-tool type to force (e.g. `openrouter:web_search`, `web_search`, `web_search_preview`).
response_formatobject可选◐ Partially supportedResponse format configuration
json_object works. json_schema works on deepseek-v4-flash and qwen3.8-flash but was not honored by glm-5.3-flash.
按 type 区分(grammar / json_object / json_schema / python / text),此处展开其中一种的形状
typestring必填Always `python`. Discriminator that marks this object as a ChatFormatPythonConfig in a `type`-tagged union.
json_schemaobject必填JSON Schema configuration object
grammarstring必填Custom grammar for text generation
cache_controlobject可选Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. When set on an individual content block, it marks an explicit cache breakpoint; block-level markers also work on OpenAI models that support explicit prompt caching — OpenRouter converts them to the provider's native format.
ttlstring可选Lifetime of an Anthropic-style cache breakpoint.
typestring必填Always `ephemeral`. Discriminator that marks this object as a AnthropicCacheControlDirective in a `type`-tagged union.
debugobject可选Debug options for inspecting request transformations (streaming only)
echo_upstream_bodyboolean可选○ Currently ignoredIf true, includes the transformed upstream request body in a debug chunk at the start of the stream. Only works with streaming mode.
Accepted but currently has no effect. Streaming requests do not echo the upstream request body.
frequency_penaltynumber可选◐ Partially supportedFrequency penalty (-2.0 to 2.0)
Some requests take effect on deepseek-v4-flash and glm-5.3-flash; qwen3.8-flash rejects some values or faces with 400.
image_configobject可选Provider-specific image configuration options. Keys and values vary by model/provider. See https://openrouter.ai/docs/guides/overview/multimodal/image-generation for more details.
logit_biasobject可选Token logit bias adjustments
logprobsboolean可选◐ Partially supportedReturn log probabilities
Works on qwen3.8-flash; deepseek-v4-flash works only via /openai and glm-5.3-flash differs between faces. gemini-2.5-flash returns 400.
max_completion_tokensinteger可选◐ Partially supportedMaximum tokens in completion
Works on deepseek-v4-flash and glm-5.3-flash; small budgets on qwen3.8-flash may be ineffective or exceed limits.
metadataobject可选Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values)
min_pnumber可选○ Currently ignoredMinimum probability threshold relative to the most likely token. Tokens with probability below min_p * (probability of top token) are filtered out. Not all providers support this parameter.
Accepted but currently has no effect.
modalitiesarray可选Output modalities for the response. Supported values are "text", "image", and "audio".
modelsarray可选Models to use for completion
Ordered fallback on an unknown primary, unavailable same-protocol line or upstream failure. models alone is accepted; response model and cost belong to the model that completes the request.
parallel_tool_callsboolean可选◐ Partially supportedWhether to enable parallel function calling during tool use. When true, the model may generate multiple tool calls in a single response.
false works on qwen3.8-flash, is ignored by deepseek-v4-flash, and differs between faces on glm-5.3-flash.
pluginsarray可选◐ Partially supportedPlugins you want to enable for this request, including their settings.
Supports file-parser (pdf.engine native, mistral-ocr mapped to ocr, ocr, auto) and platform guardrails. Requests override account defaults but preserve locked settings. Unsupported plugins such as web, unknown engines and malformed configurations return 400 naming the field.
元素按 id 区分(auto-beta-router / auto-router / context-compression / file-parser / fusion / moderation / pareto-router / response-healing / web / web-fetch),此处展开其中一种的形状
allowed_modelsarray可选List of model patterns to filter which models the auto-beta-router can route between. Supports wildcards (e.g., "anthropic/*" matches all Anthropic models). Up to 1024 patterns, each at most 1024 characters, with 65536 total characters across all patterns. When not specified, every model ranked for the classified task type is a candidate, falling back to a default model set when rankings are unavailable.
cost_quality_tradeoffinteger可选Deprecated: Use cost_tier instead. Balances routing between cost and quality on a 0-10 scale. The auto-beta-router ranks models for the classified task type by community spend share, then filters candidates by their average cost per generation for that task. Higher values favor cheaper models: 10 keeps only models around the cheapest 10th percentile, while 0 permits models up to the 90th percentile for cost. Defaults to 9 when no cost setting is provided. It remains supported and retains ceiling behavior, but cost_tier takes precedence when both are provided.
cost_tierstring可选Named cost/quality setting. For auto-beta-router, tiers select cost-percentile bands: low = [0, 20), medium = [20, 40), high = [40, 60), xhigh = [60, 80), and max = [80, 100]. Takes precedence over the deprecated numeric cost_quality_tradeoff when both are provided.
enabledboolean可选Set to false to disable Fusion configuration for a run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool. Defaults to true.
excluded_modelsarray可选List of model patterns to exclude from auto-beta-router selection. Supports wildcards (e.g., "meta-llama/*" excludes all Llama models). Up to 1024 patterns, each at most 1024 characters, with 65536 total characters across all patterns. Applied after allowed_models, so an excluded pattern always wins over an allowed one.
idstring可选Plugin id; always fusion.
pin_modelboolean可选When true, reuses the model from the most recent assistant message's `model` attribute for subsequent turns. Defaults to false.
enginestring可选The compression engine to use. Defaults to "middle-out".
exclude_domainsarray可选A list of domains to exclude from web search results. Supports wildcards (e.g. "*.substack.com") and path filtering (e.g. "openai.com/blog").
include_domainsarray可选A list of domains to restrict web search results to. Supports wildcards (e.g. "*.substack.com") and path filtering (e.g. "openai.com/blog").
max_resultsinteger可选Maximum number of search results to use.
max_usesinteger可选Maximum number of web fetches per request. Once exceeded, the tool returns an error.
modestring可选Engine-native search mode. Exa supports instant, fast, auto (default), deep-lite, deep, and deep-reasoning. Parallel supports turbo, fast, basic (default), and advanced. Modes unsupported by the selected engine are ignored.
search_promptstring可选Prompt that introduces the search results to the model.
user_locationobject可选Approximate user location for location-biased search results.
allowed_domainsarray可选Only fetch from these domains.
blocked_domainsarray可选Never fetch from these domains.
max_content_tokensinteger可选Maximum content length in approximate tokens. Content exceeding this limit is truncated.
pdfobject可选Options for PDF parsing.
max_pricenumber可选Maximum input price in USD per million tokens. When set, quality-tier selection (min_coding_score) is bypassed: the router computes the Pareto frontier over the top coding models and routes to the best-scoring frontier model priced at or below this cap, falling back through cheaper frontier models, then non-frontier models. Enforced against the price source given by price_source. Returns 404 when no candidate satisfies the cap.
min_coding_scorenumber可选Minimum coding quality score between 0 and 1. Maps to internal quality tiers: >= 0.66 → high (top coding models), >= 0.33 → medium (strong modern flagships), < 0.33 → low (capable coders above the median). Omit to default to the highest tier (equivalent to >= 0.66). Not used when max_price is set (price-based selection takes over).
price_sourcestring可选Price source for the Pareto frontier cost axis and for enforcing max_price. "prompt" uses catalog list price (endpoint.pricing.prompt). "weighted_avg" uses traffic-weighted effective input price from ClickHouse, falling back to prompt price for models without traffic data. Defaults to "prompt".
analysis_modelsarray可选For a Fusion run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool, slugs of models to run in parallel as the "expert panel" the analyst analyzes. Each model receives the same user prompt with web_search + web_fetch enabled. Capped at 8 models to bound cost amplification. When omitted, defaults to the Quality preset from the /labs/fusion UI (~anthropic/claude-opus-latest, ~openai/gpt-sol-latest, ~google/gemini-pro-latest).
max_tool_callsinteger可选For a Fusion run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool, the maximum number of tool-calling steps each panelist (analysis model) and the analyst model may take during their agentic web-research loop. Models with web_search/web_fetch enabled iterate until they produce a text response or hit this ceiling. Defaults to 4. Capped at 16.
modelstring可选For a Fusion run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool, the slug of the model that performs both the analyst step (with web_search + web_fetch) and the final synthesis. When omitted, defaults to the first model in the Quality preset.
presetstring可选Configuration for a Fusion run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool. A curated OpenRouter preset (slugs follow `<task>-<tier>`, e.g. `general-high`). Expands server-side into the preset's analysis_models panel and analyst model, so callers never name individual models. Explicitly provided `analysis_models` / `model` take precedence.
toolsarray可选For a Fusion run started by the `openrouter/fusion` model slug or `openrouter:fusion` server tool, server tools available to panelist and analyst inner calls. Each entry uses the same `{ type, parameters? }` shorthand as the outer Chat Completions request. When omitted, defaults to `[{ type: "openrouter:web_search" }, { type: "openrouter:web_fetch" }]`. Pass an empty array to disable tools entirely (panelists answer from parametric knowledge only).
predictionobject可选Static predicted output content. Supported models can use this to reduce latency when much of the response is known in advance.
contentstring | array必填Predicted output: a string or an array of text parts.
typestring必填Always `content`. Discriminator that marks this object as a Prediction in a `type`-tagged union.
presence_penaltynumber可选◐ Partially supportedPresence penalty (-2.0 to 2.0)
An effect was observed on deepseek-v4-flash via /openai; some qwen3.8-flash requests return 400 and other effects are unobservable.
prompt_cache_keystring可选prompt_cache_optionsobject可选Request-level prompt-cache controls. `mode: "explicit"` disables OpenAI-managed breakpoints so only blocks marked with `prompt_cache_breakpoint` are cached. Only supported by OpenAI GPT-5.6 and newer.
modestring必填Prompt cache mode; explicit caches only the blocks marked with prompt_cache_breakpoint.
ttlstring可选Lifetime of cache entries, for example 30m; null leaves the provider default.
providerobject可选◐ Partially supportedWhen multiple model providers are available, optionally indicate your routing preference.
Only supplier choice (order / only / ignore) is BYOK-only and returns 400; require_parameters is honoured and other options are accepted no-ops.
allow_fallbacksboolean可选○ Currently ignoredWhether to allow backup providers to serve requests - true: (default) when the primary provider (or your custom providers in "order") is unavailable, use the next best provider. - false: use only the primary/custom provider, and return the upstream error if it's unavailable.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
data_collectionstring可选○ Currently ignoredData collection setting. If no available model provider meets the requirement, your request will return an error. - allow: (default) allow providers which store user data non-transiently and may train on it - deny: use only providers which do not collect user data.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
enforce_distillable_textboolean可选Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used.
ignorearray可选○ UnsupportedList of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request.
Choosing suppliers (order / only / ignore) is BYOK-only; with platform credentials it returns 400 PROVIDER_SELECTION_NOT_ALLOWED.
max_priceobject可选○ Currently ignoredThe object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
onlyarray可选○ UnsupportedList of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request.
Choosing suppliers (order / only / ignore) is BYOK-only; with platform credentials it returns 400 PROVIDER_SELECTION_NOT_ALLOWED.
orderarray可选○ UnsupportedAn ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message.
Choosing suppliers (order / only / ignore) is BYOK-only; with platform credentials it returns 400 PROVIDER_SELECTION_NOT_ALLOWED.
preferred_max_latencynumber | object可选Preferred maximum latency (in seconds). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints above the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold.
preferred_min_throughputnumber | object可选Preferred minimum throughput (in tokens per second). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints below the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold.
quantizationsarray可选○ Currently ignoredA list of quantization levels to filter the provider by.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
require_parametersboolean可选Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest.
Routes only to lines that can express every parameter; available with platform credentials.
sortstring | object可选○ Currently ignoredThe sorting strategy to use for this request, if "order" is not specified. When set, no load balancing is performed.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
zdrboolean可选○ Currently ignoredWhether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used.
Accepted but currently has no effect (not supplier choice; available with platform credentials).
reasoningobject可选Configuration options for reasoning models
effortstring可选◐ Partially supportedConstrains effort on reasoning for reasoning models
none reliably disables thinking only on qwen3.8-flash; deepseek-v4-flash and glm-5.3-flash do not honor it.
summarystring可选○ Currently ignoredHow detailed the reasoning summary should be.
Accepted but currently has no effect. deepseek-v4-flash did not return the requested summary.
reasoning_effortstring可选◐ Partially supportedShorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used simultaneously with reasoning.effort if they differ.
none disables thinking on qwen3.8-flash; deepseek-v4-flash still thinks and glm-5.3-flash effort levels do not behave as expected.
repetition_penaltynumber可选Penalizes tokens based on how much they have already appeared in the text. A value of 1.0 means no penalty. Values above 1.0 penalize repeated tokens more strongly. Not all providers support this parameter.
routestring可选**DEPRECATED** Use providers.sort.partition instead. Backwards-compatible alias for providers.sort.partition. Accepts legacy values: "fallback" (maps to "model"), "sort" (maps to "none").
seedinteger可选○ Currently ignoredRandom seed for deterministic outputs
Accepted but currently has no effect. The same seed did not reproduce outputs on deepseek-v4-flash, glm-5.3-flash or qwen3.8-flash.
service_tierstring可选The service tier to use for processing this request. `fast` is accepted as an alias for `priority`.
session_idstring可选A unique identifier for grouping related requests (e.g., a conversation or agent workflow). When provided, OpenRouter uses it as the sticky routing key, routing all requests in the session to the same provider to maximize prompt cache hits. Also used for observability grouping. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.
stop_server_tools_whenarray可选Stop conditions for the server-tool agent loop. Any condition firing halts the loop (OR logic). When set, this overrides `max_tool_calls`. When a condition fires while the model is still emitting tool calls, the pending tool calls are executed and one final turn is made with tool calls disabled so the response ends with a natural-language answer instead of an unfinished tool call.
元素按 type 区分(finish_reason_is / has_tool_call / max_cost / max_tokens_used / step_count_is),此处展开其中一种的形状
step_countinteger可选Number of steps after which the loop stops.
typestring可选Always `finish_reason_is`. Discriminator that marks this object as a StopServerToolsWhenFinishReasonIs in a `type`-tagged union.
tool_namestring可选Name of the tool whose call stops the loop.
max_tokensinteger可选Cumulative token count after which the loop stops.
max_cost_in_dollarsnumber可选Cumulative cost in USD after which the loop stops.
reasonstring可选Finish reason that stops the loop.
stream_optionsobject可选Streaming configuration options
include_usageboolean可选○ Currently ignoredDeprecated: This field has no effect. Full usage details are always included.
Accepted but currently has no effect. Usage is returned at the end whether true, false or omitted.
top_anumber可选○ Currently ignoredConsider only tokens with "sufficiently high" probabilities based on the probability of the most likely token. Not all providers support this parameter.
Accepted but currently has no effect.
top_kinteger可选◐ Partially supportedLimits the model to choose from the top K most likely tokens at each step. A value of 1 means the model will always pick the most likely next token. Not all providers support this parameter.
No sampling effect was observed on tested models; deepseek-v4-flash via /model returns an error.
top_logprobsinteger可选◐ Partially supportedNumber of top log probabilities to return (0-20)
Requires logprobs=true; support follows logprobs and the selected model.
traceobject可选Metadata for observability and tracing. Known keys (trace_id, trace_name, span_name, generation_name, parent_span_id) have special handling. Additional keys are passed through as custom metadata to configured broadcast destinations.
generation_namestring可选Name of this generation in the trace.
parent_span_idstring可选Id of the parent span in the trace.
span_namestring可选Name of this request's span in the trace.
trace_idstring可选Id that groups several requests into one trace.
trace_namestring可选Name of the trace.
userstring可选Per-end-user identifier for abuse isolation. Use a stable ID, hash, or pseudonym. When a provider requires a user identity, OpenRouter folds it into the hashed identity sent upstream and never forwards it raw. If omitted, requests use an account-level identity, so provider policy blocks can affect the whole account.
storeboolean可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
max_output_tokensinteger可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
thinkingobject可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
web_search_optionsobject可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
functionsarray可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
audioobject可选○ Currently ignoredAccepted but currently has no effect. This applies to Chat Completions only.
ninteger可选◐ Partially supportedWorks on glm-5.3-flash; accepted but ignored on deepseek-v4-flash; qwen3.8-flash errors.
usageobject可选○ Currently ignoredAccepted and ignored; usage is always returned, regardless of include.
transformsarray可选○ Currently ignoredAccepted and ignored; no middle-out or other message transformation is performed.
deferred_toolsobject可选○ Currently ignoredAccepted and ignored; the OpenRouter deferred-tool protocol is not implemented.
promptstring可选○ Currently ignoredAccepted and ignored; Chat still requires messages and this field does not replace them.
structured_outputsboolean可选○ Currently ignoredAccepted and ignored; configure structured output with response_format, subject to its documented support.
include_reasoningboolean可选○ Currently ignoredAccepted and ignored legacy alias; use reasoning subject to its documented support.
safe_promptboolean可选○ Currently ignoredAccepted and ignored; the Mistral safe_prompt switch is not implemented.
raw_modeboolean可选○ Currently ignoredAccepted and ignored; the Hyperbolic raw_mode switch is not implemented.
200 chat.completion
With stream=true the reply streams as server-sent events (text/event-stream).
Unknown top-level fields are forwarded unchanged to same-protocol upstream providers, which decide whether to accept them. Declared fields still undergo type and range validation; invalid values return 400 naming the field.
Errors follow the OpenAI format — see error codes
Successful chat completion response
application/json
| Name | Type | Description |
|---|---|---|
| choices | array<object> | List of completion choices |
| choices[].finish_reason | string | null | |
| choices[].index | integer | Choice index |
| choices[].logprobs | object | null | Log probabilities for the completion |
| choices[].message | object | Assistant message for requests and responses |
| created | integer | Unix timestamp of creation |
| id | string | Unique completion identifier |
| model | string | Model used for completion |
| object | string | |
| openrouter_metadata | object | Routing report: what was requested, how the router chose, and what was attempted. |
| openrouter_metadata.attempt | integer | Number of the attempt that served the request, starting at 1. |
| openrouter_metadata.attempts | array<object> | Every attempt that was made, in order. |
| openrouter_metadata.endpoints | object | Which endpoints were available and which one was chosen. |
| openrouter_metadata.generation_time | integer | Milliseconds measured for the generation, from dispatching the upstream request until its response body ended. Divide the completion token count by this for throughput. Absent when no upstream request was dispatched. |
| openrouter_metadata.is_byok | boolean | Whether the request used a key supplied by the caller. |
| openrouter_metadata.params | object | Router parameters that applied to the request. |
| openrouter_metadata.pipeline | array<object> | Stages the request went through before and after the model call. |
| openrouter_metadata.region | string | null | Region that served the request; null when unknown. |
| openrouter_metadata.requested | string | The model or alias the request asked for. |
| openrouter_metadata.strategy | string | How the router picked the model or provider for this request. |
| openrouter_metadata.summary | string | One-line summary of the routing decision. |
| service_tier | string | null | The service tier used by the upstream provider for this request |
| system_fingerprint | string | null | System fingerprint |
| usage | object | Token usage statistics |
| usage.completion_tokens | integer | Number of tokens in the completion |
| usage.completion_tokens_details | object | null | Detailed completion token usage |
| usage.cost | number | null | Cost of the completion |
| usage.cost_details | object | null | Breakdown of upstream inference costs |
| usage.is_byok | boolean | Whether a request was made using a Bring Your Own Key configuration |
| usage.prompt_tokens | integer | Number of tokens in the prompt |
| usage.prompt_tokens_details | object | null | Detailed prompt token usage |
| usage.server_tool_use_details | object | null | Usage for server-side tool execution (e.g., web search) |
| usage.total_tokens | integer | Total number of tokens |
text/event-stream — chunk / event object
| Name | Type | Description |
|---|---|---|
| data | object | Streaming chat completion chunk |
| data.choices | array<object> | List of streaming chunk choices |
| data.created | integer | Unix timestamp of creation |
| data.error | object | Error information |
| data.id | string | Unique chunk identifier |
| data.model | string | Model used for completion |
| data.object | string | |
| data.openrouter_metadata | object | Routing report: what was requested, how the router chose, and what was attempted. |
| data.service_tier | string | null | The service tier used by the upstream provider for this request |
| data.system_fingerprint | string | System fingerprint |
| data.usage | object | Token usage statistics |
/openai/v1/responses● Supportedmodelstring必填◐ Partially supportedVerified on glm-5.3-flash and deepseek-flash; models without Responses support return 404.
streamboolean可选◐ Partially supportedWorks on deepseek-flash; glm-5.3-flash returns 400.
temperaturenumber可选◐ Partially supportedPartly effective on glm-5.3-flash; 2 may produce empty or garbled text. Effects on deepseek-flash are unobservable.
top_pnumber可选◐ Partially supportedSampling changes were observed on glm-5.3-flash; effects on deepseek-flash are unobservable.
toolsarray可选◐ Partially supportedfunction works. web_search, code_interpreter, image_generation, mcp and computer_use are accepted but currently have no effect; file_search returns 404.
tool_choicestring | object可选◐ Partially supportedHow the model picks tools: a mode string or a specific tool.
auto works. required/named functions on deepseek-flash require reasoning.effort=none. allowed_tools is ignored by glm-5.3-flash and returns 422 on deepseek-flash.
namestring必填Name of the function or tool the model must call.
typestring必填Kind of tool the model must call.
modestring必填auto lets the model pick among the allowed tools or none; required forces a call to one of them.
toolsarray必填The allowed tools, each as a tool reference such as {type: function, name}.
backgroundboolean可选◐ Partially supportedWhether to run the model response in the background. Available only when the routed model has Router-built background support — Router returns status "queued" immediately, then stream-calls the upstream itself, runs the job to a terminal state, and bills usage exactly once, while the client polls GET /v1/responses/{id} (this does not mean the upstream natively supports OpenAI's background parameter). A provider without this capability still returns HTTP 400 (native_responses_background_unsupported) for background:true. Cancel (POST /v1/responses/{id}/cancel) can only stop our own read of the upstream stream — it cannot guarantee upstream compute already issued stops — and billing reflects only usage actually received, falling back to the platform's general "upstream reported no usage" rule when none was received.
Works on deepseek-flash; glm-5.3-flash returns 400. Combining background with stream returns JSON.
includearray可选◐ Partially supportedForwarded to the upstream model as-is; only takes effect for capabilities the model has (e.g., reasoning content, web search results). Fields the model doesn't support are ignored.
deepseek-flash returns logprobs, but reasoning.encrypted_content is only a placeholder. glm-5.3-flash accepts but currently ignores include.
inputstring | array可选◐ Partially supportedInput for a response request - can be a string or array of items
Strings, message arrays, input_text, input_image and function round trips work. input_file errors on glm-5.3-flash and is ignored by deepseek-flash; managed file references return 400.
instructionsstring可选Verified to take effect.
max_output_tokensinteger可选A positive value controls the output budget; zero returns 400.
metadataobject可选◐ Partially supportedMetadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed.
Echoed on glm-5.3-flash; accepted but currently ignored by deepseek-flash, with empty metadata in both creation and retrieval.
parallel_tool_callsboolean可选◐ Partially supportedtrue permits multiple calls; false is accepted but currently has no effect and may still return multiple calls.
previous_response_idany可选ID of a previous response. Its owner may continue it; the model field can then be omitted. The platform expands the stored history before calling the upstream.
The platform combines ancestor inputs and outputs with the current input. We remove previous_response_id before calling the upstream. A missing live copy or a response owned by another tenant returns 404 previous_response_not_found.
promptobject可选○ UnsupportedReference to a saved prompt template and its variables. We don't have a Prompts resource yet — any id you pass returns 404 object_not_found.
No saved prompt templates are available; passing a template id returns 404.
idstring必填Id of the stored prompt template.
variablesobject可选Values for the template variables, keyed by variable name; a value is a string or an input text, image or file part.
prompt_cache_keystring可选prompt_cache_optionsobject可选Request-level prompt-cache controls. `mode: "explicit"` disables OpenAI-managed breakpoints so only blocks marked with `prompt_cache_breakpoint` are cached. Only supported by OpenAI GPT-5.6 and newer.
modestring必填Prompt cache mode; explicit caches only the blocks marked with prompt_cache_breakpoint.
ttlstring可选Lifetime of cache entries, for example 30m; null leaves the provider default.
reasoningobject可选Configuration for reasoning mode in the response
contextstring可选Controls which reasoning is available to the model. `auto` uses the model default (same as omitting); `all_turns` includes reasoning from earlier turns passed in input; `current_turn` limits to the current turn only. Only supported by OpenAI GPT-5.6 and newer.
effortstring可选◐ Partially supportedHow much reasoning the model should spend.
none disables thinking on deepseek-flash; other levels are not monotonic. glm-5.3-flash accepts but ignores it, including none.
modestring可选Selects the reasoning mode. `standard` is the default; `pro` engages deeper reasoning on models that support it, billed at standard token rates. Only supported by OpenAI GPT-5.6 and newer.
summarystring可选◐ Partially supportedHow detailed the reasoning summary should be.
concise occasionally yields a summary on glm-5.3-flash, while auto/detailed did not. deepseek-flash accepts but ignores it.
enabledboolean可选max_tokensinteger可选safety_identifierstring可选Recommended per-end-user identifier for abuse isolation. Use a stable ID, hash, or pseudonym. When a provider requires a user identity, we fold it into the hashed identity sent upstream and never forward it raw. If omitted, requests use an account-level identity, so provider policy blocks can affect the whole account.
service_tierstring可选Requested service tier; its effect is currently unobservable.
storeboolean可选Whether to store the response server-side so it can be retrieved or continued later via previous_response_id. Defaults to true; pass false to opt out.
true stores the response for retrieval; false does not, and retrieval returns 404.
textobject可选Text output configuration including format and verbosity
formatobject可选◐ Partially supportedText response format configuration
json_object and json_schema work with sufficient budget; text intermittently returns 400 on glm-5.3-flash and works on deepseek-flash.
verbositystring可选○ Currently ignoredAccepted but currently has no effect. No verbosity effect was observed on glm-5.3-flash or deepseek-flash.
top_logprobsinteger可选◐ Partially supportedWorks on deepseek-flash with values 0–20; glm-5.3-flash returns empty logprobs.
truncationstring可选How to handle input that exceeds the context window.
userstring可选A unique identifier representing your end-user, which helps distinguish between different users of your app. This allows your app to identify specific users in case of abuse reports, preventing your entire app from being affected by the actions of individual users. Maximum of 256 characters.
conversationstring可选The conversation this response belongs to (a conversation id string, or a `{id}` object). Before the request reaches the upstream provider, we prepend that conversation's existing items to this request's input; after the response completes, this turn's input and output items are appended back to the conversation. Only the conversation's owner may reference it — otherwise 404 object_not_found; cannot be used together with previous_response_id — sending both returns 400.
Conversation history is included in input and response items are appended; cannot be combined with previous_response_id.
context_managementarray可选Context management configuration for this request (e.g. automatic compaction once a token threshold is exceeded).
moderationobject可选Configuration for running moderation on the input and output of this response.
prompt_cache_retentionstring可选The retention policy for the prompt cache. Set to 24h to keep cached prefixes active for up to 24 hours.
stream_optionsobject可选Options for streaming responses. Only set this when stream=true (e.g. whether to include usage statistics at the end of the stream).
access_programsobject可选○ UnsupportedRecognized official field; access programs are not implemented and return 400 explicitly stating that the parameter is not supported.
200 response
With stream=true the reply streams as server-sent events (text/event-stream).
Unknown top-level fields are forwarded unchanged to same-protocol upstream providers, which decide whether to accept them. Declared fields still undergo type and range validation; invalid values return 400 naming the field.
Errors follow the OpenAI format — see error codes
Successful response
application/json
| Name | Type | Description |
|---|---|---|
| background | boolean | null | Whether the response was started in background mode. |
| completed_at | integer | null | Unix time in seconds at which the response finished; null while it has not finished. |
| created_at | integer | Unix time in seconds at which the response was created. |
| error | object | null | Error information returned from the API |
| error.code | string | Machine-readable error code. |
| error.message | string | Human-readable error message. |
| frequency_penalty | number | null | The frequency penalty that applied to the request, if any. |
| id | string | Unique id of the response; use it as response_id to retrieve, cancel or delete it, or as previous_response_id to continue the conversation. |
| incomplete_details | object | null | Why the response stopped before finishing; null for complete responses. |
| incomplete_details.reason | string | Why the response is incomplete. |
| instructions | string | array<object> | null | Input of the request: a string or an array of input items. |
| max_output_tokens | integer | null | Upper bound on generated tokens that applied to the request; null when none was set. |
| max_tool_calls | integer | null | Upper bound on built-in tool calls that applied to the request; null when none was set. |
| metadata | object | null | Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed. |
| model | string | Model that produced the response. |
| object | string | Object type; always `response`. |
| output | array<object> | Items the model produced, in order: messages, reasoning, tool calls and tool results. |
| output[].content | array<object> | array | null | string | Content parts of the message: output text or refusal. / Reasoning text parts, when the provider returns them. / Text content of the fetched page. |
| output[].id | string | Id of the message item. / Id of the reasoning item. / Id of the function call item. / Id of the web search call item. / Id of the file search call item. / Id of the image generation call item. / Id of the code interpreter call item. / Id of the computer call item. / Id of the datetime server tool item. / Id of the web search server tool item. / Id of the code interpreter server tool item. / Id of the file search server tool item. / Id of the image generation server tool item. / Id of the browser use server tool item. / Id of the bash server tool item. / Id of the text editor server tool item. / Id of the apply_patch server tool item. / Id of the apply_patch call item. / Id of the shell call item. / Id of the shell call output item. / Id of the shell server tool item. / Id of the web fetch server tool item. / Id of the tool search server tool item. / Id of the memory server tool item. / Id of the MCP server tool item. / Id of the model search server tool item. / Id of the fusion server tool item. / Id of the advisor server tool item. / Id of the subagent server tool item. / Id of the files server tool item. / Id of the custom tool call item. |
| output[].phase | string | null | The phase of an assistant message. Use `commentary` for an intermediate assistant message and `final_answer` for the final assistant message. For follow-up requests with models like `gpt-5.3-codex` and later, preserve and resend phase on all assistant messages. Omitting it can degrade performance. Not used for user messages. |
| output[].role | string | Role of the author; always assistant. |
| output[].status | string | Status of the message item. / Status of the reasoning item. / Status of the function call item. / Status of a web search call. / Status of a web search call. / Status of an image generation call. / Status of the code interpreter call. / Status of the computer call item. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call that can fail. / Status of a tool call. / Status of a tool call. / Lifecycle state of an `apply_patch_call` output item. / Status of a shell call or its output. / Status of a shell call or its output. / Status of a tool call that can fail. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call. / Status of a tool call that can fail. / Status of a tool call that can fail. / Status of a tool call. / Status of the custom tool call item. |
| output[].type | string | Always `message`. Discriminator that marks this object as a OutputMessage in a `type`-tagged union. / Always `reasoning`. Discriminator that marks this object as a OutputItemReasoning in a `type`-tagged union. / Always `function_call`. Discriminator that marks this object as a OutputItemFunctionCall in a `type`-tagged union. / Always `web_search_call`. Discriminator that marks this object as a OutputItemWebSearchCall in a `type`-tagged union. / Always `file_search_call`. Discriminator that marks this object as a OutputItemFileSearchCall in a `type`-tagged union. / Always `image_generation_call`. Discriminator that marks this object as a OutputItemImageGenerationCall in a `type`-tagged union. / Always `code_interpreter_call`. Discriminator that marks this object as a OutputItemCodeInterpreterCall in a `type`-tagged union. / Always `computer_call`. Discriminator that marks this object as a OutputComputerCallItem in a `type`-tagged union. / Always `openrouter:datetime`. Discriminator that marks this object as a OutputDatetimeItem in a `type`-tagged union. / Always `openrouter:web_search`. Discriminator that marks this object as a OutputWebSearchServerToolItem in a `type`-tagged union. / Always `openrouter:code_interpreter`. Discriminator that marks this object as a OutputCodeInterpreterServerToolItem in a `type`-tagged union. / Always `openrouter:file_search`. Discriminator that marks this object as a OutputFileSearchServerToolItem in a `type`-tagged union. / Always `openrouter:image_generation`. Discriminator that marks this object as a OutputImageGenerationServerToolItem in a `type`-tagged union. / Always `openrouter:browser_use`. Discriminator that marks this object as a OutputBrowserUseServerToolItem in a `type`-tagged union. / Always `openrouter:bash`. Discriminator that marks this object as a OutputBashServerToolItem in a `type`-tagged union. / Always `openrouter:text_editor`. Discriminator that marks this object as a OutputTextEditorServerToolItem in a `type`-tagged union. / Always `openrouter:apply_patch`. Discriminator that marks this object as a OutputApplyPatchServerToolItem in a `type`-tagged union. / Always `apply_patch_call`. Discriminator that marks this object as a OutputApplyPatchCallItem in a `type`-tagged union. / Always `shell_call`. Discriminator that marks this object as a OutputShellCallItem in a `type`-tagged union. / Always `shell_call_output`. Discriminator that marks this object as a OutputShellCallOutputItem in a `type`-tagged union. / Always `openrouter:shell`. Discriminator that marks this object as a OutputShellServerToolItem in a `type`-tagged union. / Always `openrouter:web_fetch`. Discriminator that marks this object as a OutputWebFetchServerToolItem in a `type`-tagged union. / Always `openrouter:tool_search`. Discriminator that marks this object as a OutputToolSearchServerToolItem in a `type`-tagged union. / Always `openrouter:memory`. Discriminator that marks this object as a OutputMemoryServerToolItem in a `type`-tagged union. / Always `openrouter:mcp`. Discriminator that marks this object as a OutputMcpServerToolItem in a `type`-tagged union. / Always `openrouter:experimental__search_models`. Discriminator that marks this object as a OutputSearchModelsServerToolItem in a `type`-tagged union. / Always `openrouter:fusion`. Discriminator that marks this object as a OutputFusionServerToolItem in a `type`-tagged union. / Always `openrouter:advisor`. Discriminator that marks this object as a OutputAdvisorServerToolItem in a `type`-tagged union. / Always `openrouter:subagent`. Discriminator that marks this object as a OutputSubagentServerToolItem in a `type`-tagged union. / Always `openrouter:files`. Discriminator that marks this object as a OutputFilesServerToolItem in a `type`-tagged union. / Always `custom_tool_call`. Discriminator that marks this object as a OutputCustomToolCallItem in a `type`-tagged union. |
| output[].encrypted_content | string | null | Opaque encrypted reasoning; send it back unchanged to let the model continue its reasoning on the next turn. |
| output[].summary | array<object> | Summary parts of the reasoning. |
| output[].format | string | null | Wire format of the reasoning details, which names the provider family that produced them. |
| output[].signature | string | null | A signature for the reasoning content, used for verification |
| output[].arguments | string | string | null | string | null | string | null | string | string | null | JSON-encoded arguments the model produced for the function. / The raw tool-call arguments string as emitted by the model. / The raw tool-call arguments string as emitted by the model. Echo back unchanged when replaying history; used verbatim to preserve provider prompt-cache prefixes. / The raw tool-call arguments string as emitted by the model. / The JSON arguments submitted to the search tool (e.g. {"query":"Claude"}) / The raw tool-call arguments string as emitted by the model. |
| output[].async | boolean | True when the model called a tool declared with `async: true` and may continue its turn before the output is returned. Return the result in a later request as a `function_call_output` with this `call_id`. |
| output[].call_id | string | string | null | string | string | string | string | string | null | string | string | null | string | Id of the call; the function_call_output item that answers it repeats it as call_id. / Id of the call; the computer_call_output item that answers it repeats it as call_id. / The model-generated tool call id from the originating turn. / Id of the apply_patch tool call. / Id of the call; the apply_patch_call_output item that answers it repeats it as call_id. / Id of the call; the shell_call_output item that answers it repeats it as call_id. / Id of the shell call this output answers. / The model-generated tool call id from the originating turn. / EXPERIMENTAL — subject to change without notice. The `call_id` of the tool call that spawned this subagent. This id will also be included as the `subagent_id` on any `function_call` items created by the subagent. This must be returned in the request so the `function_call` can be matched with the correct subagent. A suspended `in_progress` item is announced once and never re-emitted or terminally closed — completion arrives as a new item with the same `call_id`. / The model-generated tool call id from the originating turn. / Id of the call; the custom_tool_call_output item that answers it repeats it as call_id. |
| output[].name | string | Name of the function being called. / Configured name of the subagent that executed the task (the `name` on its tool entry). Present only for named subagents; omitted for an unnamed (default) subagent. / Name of the custom tool being called. |
| output[].namespace | string | Namespace qualifier for tools registered as part of a namespace tool group (e.g. an MCP server) |
| output[].subagent_id | string | EXPERIMENTAL — subject to change without notice. String id that matches the `call_id` of the `openrouter:subagent` server tool call that spawned the subagent. Present on every `function_call` item the subagent projects; absent on ordinary function calls. |
| output[].subagent_items | array<object> | EXPERIMENTAL — subject to change without notice. The subagent's output items produced on this turn. Treat this as an opaque object; you must replay it in the request so that the subagent can continue execution of the tool with the same context. If a subagent created multiple parallel tool calls, only the first tool call will have this field. The other tool calls will only have `subagent_id`. Present only if the tool call originates from a subagent spawned by the `openrouter:subagent` server tool. |
| output[].action | object | any | object | string | object | object | string | The search action the model took: a search, opening a page, or finding a pattern in a page. / The action the model asks the client to perform on the computer. / The search action performed, matching OpenAI web_search_call.action shape. Includes the query the model issued and optional source URLs returned by the search provider. / The browser action that was performed. / The commands the model asks the client to run. / The commands that were run. / Memory action that was performed. |
| output[].queries | array<string> | Queries the model ran against the vector stores. / Queries that ran against the vector stores. |
| output[].result | string | null | string | Base64-encoded generated image; null while generation has not finished. / The generated image as a base64-encoded string or URL, matching OpenAI image_generation_call format / JSON-serialized result of the file operation. |
| output[].prompt | string | The prompt (possibly rewritten) that the image was generated from. / The prompt the executor sent to the advisor. |
| output[].code | string | null | string | The code the interpreter ran; null while it is still being written. / The code that ran. |
| output[].container_id | string | Id of the container the code ran in. / The canonical container id the command ran under — the `{container_id}` for the Container Files API, reusable as a `container_reference` in later requests. Present on every sandbox-executed call, even when no files changed. / The canonical container id the command ran under — the `{container_id}` for the Container Files API, reusable as a `container_reference` in later requests. Present on every sandbox-executed call, even when no files changed. / The canonical container id the command ran under — the `{container_id}` for the Container Files API, reusable as a `container_reference` in later requests. Present on every sandbox-executed call, even when no files changed. |
| output[].outputs | array | null | Outputs of the run: logs and images; null while the run has not finished. |
| output[].pending_safety_checks | array<object> | Safety checks that must be acknowledged before the action is performed. |
| output[].datetime | string | ISO 8601 datetime string |
| output[].timezone | string | IANA timezone name |
| output[].exitCode | integer | Exit code of the run; 0 means success. / Exit code of the command; 0 means success. |
| output[].language | string | Language of the code that ran. |
| output[].stderr | string | Standard error output of the code. / Standard error output of the command. |
| output[].stdout | string | Standard output of the code. / Standard output of the command. |
| output[].imageB64 | string | Base64-encoded generated image. |
| output[].imageUrl | string | URL of the generated image. |
| output[].revisedPrompt | string | Prompt after the image model rewrote it. |
| output[].screenshotB64 | string | Base64-encoded screenshot taken after the action. |
| output[].command | string | The bash command that ran. / Editor command that ran. |
| output[].error | string | The error message when the sandbox call failed before producing a result (for example, the per-user container limit was reached). Set together with `status: 'failed'`; absent on a successful call. A non-zero `exitCode` is a command failure, not a tool failure. / The error message when the sandbox call failed before producing a result (for example, the per-user container limit was reached). Set together with `status: 'incomplete'` and an empty `output`; absent on a successful call. / The error message when the sandbox call failed before producing a result (for example, the per-user container limit was reached). Set together with `status: 'failed'`; absent on a successful call. `output` is omitted when `error` is set. / The error message if the fetch failed. / Error message when the fusion run did not produce an analysis result. / Error message when the advisor call did not produce advice. Set together with `status: 'failed'` on the terminal item. / Error message when the subagent task did not produce an outcome. Set together with `status: 'failed'` on the terminal item. / Error message when the file operation failed. |
| output[].files | array<object> | Citations for the files the sandbox command created or modified, most-recently-touched first (at most 10). Retrieve them via the Container Files API. |
| output[].filePath | string | Path of the file the command worked on. |
| output[].operation | object | string | The patch operation requested by an `apply_patch_call`. `create_file` and `update_file` carry a V4A diff; `delete_file` omits it. / The file operation performed (list, read, write, or edit). |
| output[].max_output_length | integer | null | Maximum number of characters of output that was kept; null for no limit. |
| output[].output | array<object> | Output of each command, in the order the commands ran. |
| output[].httpStatus | integer | The HTTP status code returned by the upstream URL fetch. |
| output[].title | string | Title of the fetched page. |
| output[].url | string | URL that was fetched. |
| output[].query | string | The tool search query. / The model search query. |
| output[].key | string | Key of the memory entry. |
| output[].value | any | Value of the memory entry; absent for reads that found nothing and for deletes. |
| output[].serverLabel | string | Label of the MCP server. |
| output[].toolName | string | Name of the MCP tool that was called. |
| output[].analysis | object | Structured analysis produced by the fusion analyst model. |
| output[].failed_models | array<object> | Models that were requested as part of the analysis panel but did not produce a response. Present when at least one requested analysis model failed. The fusion result is still usable but was produced from a degraded panel. |
| output[].failure_reason | string | Typed failure reason when the fusion run failed. Possible values include: all_panels_failed, insufficient_credits, rate_limited, invalid_model, judge_not_valid_json, judge_schema_mismatch, judge_upstream_error, judge_empty_completion. The four analysis-stage codes keep their pre-rename `judge_` spelling so existing consumers keep matching. The consumer-cancellation code is `cancelled`. |
| output[].responses | array<object> | Analysis models that produced a response in this fusion run, with each model's full panel content. |
| output[].sources | array<object> | Web pages the analysis panels and analyst retrieved via web search during this fusion run, deduplicated by URL across the whole run. Present when at least one model cited a source. |
| output[].advice | string | The advisor model's response (the advice text returned to the executor). |
| output[].instance_name | string | Provider-safe function name of the specific advisor instance that produced this item (e.g. `openrouter_advisor__1`). Present only when more than one advisor tool is configured; omitted for the default single advisor. Echo this field back unchanged so the advisor's cross-request memory stays namespaced to the correct instance. This identity is positional: it is derived from the index of the advisor entry in the request `tools` array, so clients must keep the order of advisor tool entries stable across requests in a conversation. Reordering or inserting advisor entries shifts these names and causes each advisor's cross-request memory to be attributed to the wrong instance. / Provider-safe function name of the specific subagent instance that produced this item (e.g. `openrouter_subagent__1`). Present only on items from non-default instances — the second and later subagent entries in the request `tools` array. The first (default) instance omits it, even when multiple subagents are configured. When a replayed item echoes this field back, the transcript rehydrates the call under that instance's tool. This identity is positional: it is derived from the index of the subagent entry in the request `tools` array, so keep the order of subagent entries stable across requests in a conversation. |
| output[].model | string | Slug of the advisor model that was consulted. / Slug of the worker model that executed the task. |
| output[].outcome | string | The worker model's result (the outcome text returned to the delegating model). |
| output[].task_description | string | The task description the delegating model sent to the worker. |
| output[].task_name | string | The short task identifier the delegating model supplied. |
| output[].file_id | string | The target file id supplied in the tool-call arguments. |
| output[].filename | string | The target filename supplied in the tool-call arguments. |
| output[].input | string | Free-form input the model produced for the custom tool. |
| output_text | string | Convenience concatenation of all output text of the response. |
| parallel_tool_calls | boolean | Whether the model was allowed to call several tools in one turn. |
| presence_penalty | number | null | The presence penalty that applied to the request, if any. |
| previous_response_id | string | null | Id of the response this one continued; null when it started a new conversation. |
| prompt | object | null | Reference to a stored prompt template with its variables. |
| prompt.id | string | Id of the stored prompt template. |
| prompt.variables | object | null | Values for the template variables, keyed by variable name; a value is a string or an input text, image or file part. |
| prompt_cache_key | string | null | Cache key the request supplied to improve prompt cache hits; null when none was set. |
| prompt_cache_options | object | null | Request-level prompt-cache controls. `mode: "explicit"` disables OpenAI-managed breakpoints so only blocks marked with `prompt_cache_breakpoint` are cached. Only supported by OpenAI GPT-5.6 and newer. |
| prompt_cache_options.mode | string | Prompt cache mode; explicit caches only the blocks marked with prompt_cache_breakpoint. |
| prompt_cache_options.ttl | string | null | Lifetime of cache entries, for example 30m; null leaves the provider default. |
| reasoning | object | null | Reasoning settings that applied: effort, summary verbosity, mode and context. |
| reasoning.context | string | null | Controls which reasoning is available to the model. `auto` uses the model default (same as omitting); `all_turns` includes reasoning from earlier turns passed in input; `current_turn` limits to the current turn only. Only supported by OpenAI GPT-5.6 and newer. |
| reasoning.effort | string | null | How much reasoning the model should spend. |
| reasoning.mode | string | null | Selects the reasoning mode. `standard` is the default; `pro` engages deeper reasoning on models that support it, billed at standard token rates. Only supported by OpenAI GPT-5.6 and newer. |
| reasoning.summary | string | null | How detailed the reasoning summary should be. |
| safety_identifier | string | null | End-user identifier the request supplied for abuse monitoring; null when none was set. |
| service_tier | string | null | Service tier the provider used for the response; null when not reported. |
| status | string | Lifecycle status of the response. |
| store | boolean | Whether the response is stored so it can be retrieved later. |
| temperature | number | null | Sampling temperature that applied to the request, if any. |
| text | object | Text output configuration including format and verbosity |
| text.format | object | Text response format configuration |
| text.verbosity | string | null | How long the answer should be. |
| tool_choice | string | object | How the model picks tools: a mode string or a specific tool. |
| tool_choice.name | string | Name of the function or tool the model must call. |
| tool_choice.type | string | Kind of tool the model must call. / Always `allowed_tools`. Discriminator that marks this object as a ToolChoiceAllowed in a `type`-tagged union. / Kind of tool the model must call. / Kind of tool the model must call. |
| tool_choice.mode | string | auto lets the model pick among the allowed tools or none; required forces a call to one of them. |
| tool_choice.tools | array<object> | The allowed tools, each as a tool reference such as {type: function, name}. |
| tools | array<object> | Tools that were available to the model for this response. |
| tools[].description | string | null | string | string | What the function does and when to use it; the model reads this to decide whether to call it. / What the custom tool does and when to use it. / What the group of tools is for. |
| tools[].name | string | Name of the function; the model uses it in function_call items. / Name of the custom tool. / Name of the namespace that groups the tools. |
| tools[].parameters | object | null | JSON Schema of the function arguments; null when the function takes none. |
| tools[].strict | boolean | null | Whether to enforce strict argument validation against the schema; null leaves the provider default. |
| tools[].type | string | Always `function`. Discriminator that marks this object as a FunctionTool in a `type`-tagged union. / Always `web_search_preview`. Discriminator that marks this object as a Preview_WebSearchServerTool in a `type`-tagged union. / Always `web_search_preview_2025_03_11`. Discriminator that marks this object as a Preview_20250311_WebSearchServerTool in a `type`-tagged union. / Always `web_search`. Discriminator that marks this object as a Legacy_WebSearchServerTool in a `type`-tagged union. / Always `web_search_2025_08_26`. Discriminator that marks this object as a WebSearchServerTool in a `type`-tagged union. / Comparison operator. / Always `computer_use_preview`. Discriminator that marks this object as a ComputerUseServerTool in a `type`-tagged union. / Always `code_interpreter`. Discriminator that marks this object as a CodeInterpreterServerTool in a `type`-tagged union. / Always `mcp`. Discriminator that marks this object as a McpServerTool in a `type`-tagged union. / Always `image_generation`. Discriminator that marks this object as a ImageGenerationServerTool in a `type`-tagged union. / Always `local_shell`. Discriminator that marks this object as a CodexLocalShellTool in a `type`-tagged union. / Always `shell`. Discriminator that marks this object as a ShellServerTool in a `type`-tagged union. / Always `apply_patch`. Discriminator that marks this object as a ApplyPatchServerTool in a `type`-tagged union. / Always `custom`. Discriminator that marks this object as a CustomTool in a `type`-tagged union. / Always `namespace`. Discriminator that marks this object as a NamespaceTool in a `type`-tagged union. |
| tools[].async | boolean | Lets the model keep working after calling this tool instead of waiting for its output. The tool is still executed by the client; return the result in a later request as a `function_call_output` with the original `call_id`. Only honored by providers whose Responses API supports async tools; ignored elsewhere. |
| tools[].defer_loading | boolean | Withhold this tool from the model until `openrouter:tool_search` finds it. Requires the tool search server tool; at least one tool must remain non-deferred. |
| tools[].engine | string | Which search engine to use. "auto" (default) uses native if the provider supports it, otherwise Exa. "native" forces the provider's built-in search. "exa" forces the Exa search API. "firecrawl" uses Firecrawl (requires BYOK). "parallel" uses the Parallel search API. "perplexity" uses the Perplexity Search API (raw ranked results). |
| tools[].filters | object | null | Restricts web search by domain. / Attribute filter applied to the search: a comparison or a compound filter. |
| tools[].max_results | integer | Maximum number of search results to return per search call. Defaults to 5. Applies to Exa, Firecrawl, Parallel, and Perplexity engines; ignored with native provider search. Perplexity supports a maximum of 20; values above 20 are clamped. |
| tools[].max_uses | integer | Maximum number of web searches the model may perform in a single request. Once reached, further search calls return an error result instead of executing. Applies to the Exa, Firecrawl, Parallel, and Perplexity engines. With native provider search, forwarded only to Anthropic (as `max_uses`); other native search providers have no equivalent parameter and ignore it. |
| tools[].mode | string | Engine-native search mode. Exa supports instant, fast, auto (default), deep-lite, deep, and deep-reasoning. Parallel supports turbo, fast, basic (default), and advanced. Modes unsupported by the selected engine are ignored. |
| tools[].search_context_size | string | Size of the search context for web search tools |
| tools[].user_location | object | null | Approximate location of the user, used to bias web search results. / User location information for web search / User location information for web search |
| tools[].max_num_results | integer | Maximum number of results to return, between 1 and 50. |
| tools[].ranking_options | object | Ranking options for the search. |
| tools[].vector_store_ids | array<string> | Ids of the vector stores to search. |
| tools[].display_height | integer | Height of the computer display in pixels. |
| tools[].display_width | integer | Width of the computer display in pixels. |
| tools[].environment | string | Kind of environment that is controlled. |
| tools[].container | string | object | Container for the code to run in: a container id or an automatic container with files. |
| tools[].allowed_tools | array<string> | object | null | Tools of the server the model may use: a list of names or a filter. |
| tools[].authorization | string | OAuth access token for the MCP server. |
| tools[].connector_id | string | Id of a built-in connector; give this or server_url. |
| tools[].headers | object | null | HTTP headers sent to the MCP server; null for none. |
| tools[].require_approval | object | string | null | Whether tool calls need approval before they run: always, never, or a filter per tool. |
| tools[].server_description | string | What the MCP server is for, which helps the model decide when to use it. |
| tools[].server_label | string | Label that names the MCP server in the conversation. |
| tools[].server_url | string | URL of the MCP server; give this or connector_id. |
| tools[].background | string | Background of the generated image. |
| tools[].input_fidelity | string | null | How closely to preserve details of input images; null uses the default. |
| tools[].input_image_mask | object | Mask that marks the region of the input image to edit. |
| tools[].model | string | Image model to use. |
| tools[].moderation | string | Moderation level applied to the generated image. |
| tools[].output_compression | integer | Compression level from 0 to 100 for jpeg and webp output. |
| tools[].output_format | string | File format of the generated image. |
| tools[].partial_images | integer | Number of partial images to stream while generating, from 0 to 3. |
| tools[].quality | string | Quality of the generated image. |
| tools[].size | string | Size of the generated image; auto lets the model choose. |
| tools[].format | object | Format of the tool input: free text or a grammar. |
| tools[].tools | array<object> | Function tools in the namespace. |
| top_logprobs | integer | Number of most likely tokens whose log probabilities were requested per position. |
| top_p | number | null | Nucleus sampling value that applied to the request, if any. |
| truncation | string | null | How to handle input that exceeds the context window. |
| usage | object | null | Token usage information for the response |
| usage.input_tokens | integer | Number of input tokens, cached tokens included. |
| usage.input_tokens_details | object | Breakdown of the input tokens. |
| usage.output_tokens | integer | Number of output tokens, reasoning tokens included. |
| usage.output_tokens_details | object | Breakdown of the output tokens. |
| usage.total_tokens | integer | Input plus output tokens. |
| usage.cost | number | null | Cost of the completion |
| usage.cost_details | object | Breakdown of the upstream inference cost. |
| usage.is_byok | boolean | Whether a request was made using a Bring Your Own Key configuration |
| usage.server_tool_use_details | object | null | Usage for server-side tool execution (e.g., web search) |
| user | string | null | End-user identifier the request supplied; null when none was set. |
| error_type | string | Canonical OpenRouter error type, stable across all API formats |
| openrouter_metadata | object | Routing report: what was requested, how the router chose, and what was attempted. |
| openrouter_metadata.attempt | integer | Number of the attempt that served the request, starting at 1. |
| openrouter_metadata.attempts | array<object> | Every attempt that was made, in order. |
| openrouter_metadata.endpoints | object | Which endpoints were available and which one was chosen. |
| openrouter_metadata.generation_time | integer | Milliseconds measured for the generation, from dispatching the upstream request until its response body ended. Divide the completion token count by this for throughput. Absent when no upstream request was dispatched. |
| openrouter_metadata.is_byok | boolean | Whether the request used a key supplied by the caller. |
| openrouter_metadata.params | object | Router parameters that applied to the request. |
| openrouter_metadata.pipeline | array<object> | Stages the request went through before and after the model call. |
| openrouter_metadata.region | string | null | Region that served the request; null when unknown. |
| openrouter_metadata.requested | string | The model or alias the request asked for. |
| openrouter_metadata.strategy | string | How the router picked the model or provider for this request. |
| openrouter_metadata.summary | string | One-line summary of the routing decision. |
text/event-stream — chunk / event object
| Name | Type | Description |
|---|---|---|
| data | object | Union of all possible event types emitted during response streaming |
| data.response | object | Complete non-streaming response from the Responses API |
| data.sequence_number | integer | Position of this event in the stream. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream; it increases with every event, so use it to order events or detect a gap. / Position of this event in the stream. |
| data.type | string | Always `response.created`. Discriminator that marks this object as a CreatedEvent in a `type`-tagged union. / Always `response.in_progress`. Discriminator that marks this object as a InProgressEvent in a `type`-tagged union. / Always `response.completed`. Discriminator that marks this object as a CompletedEvent in a `type`-tagged union. / Always `response.incomplete`. Discriminator that marks this object as a IncompleteEvent in a `type`-tagged union. / Always `response.failed`. Discriminator that marks this object as a FailedEvent in a `type`-tagged union. / Always `error`. Discriminator that marks this object as a BaseErrorEvent in a `type`-tagged union. / Always `response.output_item.added`. Discriminator that marks this object as a OutputItemAddedEvent in a `type`-tagged union. / Always `response.output_item.done`. Discriminator that marks this object as a OutputItemDoneEvent in a `type`-tagged union. / Always `response.content_part.added`. Discriminator that marks this object as a BaseContentPartAddedEvent in a `type`-tagged union. / Always `response.content_part.done`. Discriminator that marks this object as a BaseContentPartDoneEvent in a `type`-tagged union. / Always `response.output_text.delta`. Discriminator that marks this object as a BaseTextDeltaEvent in a `type`-tagged union. / Always `response.output_text.done`. Discriminator that marks this object as a BaseTextDoneEvent in a `type`-tagged union. / Always `response.refusal.delta`. Discriminator that marks this object as a BaseRefusalDeltaEvent in a `type`-tagged union. / Always `response.refusal.done`. Discriminator that marks this object as a BaseRefusalDoneEvent in a `type`-tagged union. / Always `response.output_text.annotation.added`. Discriminator that marks this object as a BaseAnnotationAddedEvent in a `type`-tagged union. / Always `response.function_call_arguments.delta`. Discriminator that marks this object as a BaseFunctionCallArgsDeltaEvent in a `type`-tagged union. / Always `response.function_call_arguments.done`. Discriminator that marks this object as a BaseFunctionCallArgsDoneEvent in a `type`-tagged union. / Always `response.reasoning_text.delta`. Discriminator that marks this object as a BaseReasoningDeltaEvent in a `type`-tagged union. / Always `response.reasoning_text.done`. Discriminator that marks this object as a BaseReasoningDoneEvent in a `type`-tagged union. / Always `response.reasoning_summary_part.added`. Discriminator that marks this object as a BaseReasoningSummaryPartAddedEvent in a `type`-tagged union. / Always `response.reasoning_summary_part.done`. Discriminator that marks this object as a BaseReasoningSummaryPartDoneEvent in a `type`-tagged union. / Always `response.reasoning_summary_text.delta`. Discriminator that marks this object as a BaseReasoningSummaryTextDeltaEvent in a `type`-tagged union. / Always `response.reasoning_summary_text.done`. Discriminator that marks this object as a BaseReasoningSummaryTextDoneEvent in a `type`-tagged union. / Always `response.image_generation_call.in_progress`. Discriminator that marks this object as a OpenAIResponsesImageGenCallInProgress in a `type`-tagged union. / Always `response.image_generation_call.generating`. Discriminator that marks this object as a OpenAIResponsesImageGenCallGenerating in a `type`-tagged union. / Always `response.image_generation_call.partial_image`. Discriminator that marks this object as a OpenAIResponsesImageGenCallPartialImage in a `type`-tagged union. / Always `response.image_generation_call.completed`. Discriminator that marks this object as a OpenAIResponsesImageGenCallCompleted in a `type`-tagged union. / Always `response.code_interpreter_call.in_progress`. Discriminator that marks this object as a OpenAIResponsesCodeInterpreterCallInProgress in a `type`-tagged union. / Always `response.code_interpreter_call.interpreting`. Discriminator that marks this object as a OpenAIResponsesCodeInterpreterCallInterpreting in a `type`-tagged union. / Always `response.code_interpreter_call.completed`. Discriminator that marks this object as a OpenAIResponsesCodeInterpreterCallCompleted in a `type`-tagged union. / Always `response.code_interpreter_call_code.delta`. Discriminator that marks this object as a OpenAIResponsesCodeInterpreterCallCodeDelta in a `type`-tagged union. / Always `response.code_interpreter_call_code.done`. Discriminator that marks this object as a OpenAIResponsesCodeInterpreterCallCodeDone in a `type`-tagged union. / Always `response.web_search_call.in_progress`. Discriminator that marks this object as a OpenAIResponsesWebSearchCallInProgress in a `type`-tagged union. / Always `response.web_search_call.searching`. Discriminator that marks this object as a OpenAIResponsesWebSearchCallSearching in a `type`-tagged union. / Always `response.web_search_call.completed`. Discriminator that marks this object as a OpenAIResponsesSearchCompleted in a `type`-tagged union. / Always `response.custom_tool_call_input.delta`. Discriminator that marks this object as a BaseCustomToolCallInputDeltaEvent in a `type`-tagged union. / Always `response.custom_tool_call_input.done`. Discriminator that marks this object as a BaseCustomToolCallInputDoneEvent in a `type`-tagged union. / Always `response.apply_patch_call_operation_diff.delta`. Discriminator that marks this object as a ApplyPatchCallOperationDiffDeltaEvent in a `type`-tagged union. / Always `response.apply_patch_call_operation_diff.done`. Discriminator that marks this object as a ApplyPatchCallOperationDiffDoneEvent in a `type`-tagged union. / Always `response.fusion_call.in_progress`. Discriminator that marks this object as a FusionCallInProgressEvent in a `type`-tagged union. / Always `response.fusion_call.panel.added`. Discriminator that marks this object as a FusionCallPanelAddedEvent in a `type`-tagged union. / Always `response.fusion_call.panel.delta`. Discriminator that marks this object as a FusionCallPanelDeltaEvent in a `type`-tagged union. / Always `response.fusion_call.panel.reasoning.delta`. Discriminator that marks this object as a FusionCallPanelReasoningDeltaEvent in a `type`-tagged union. / Always `response.fusion_call.panel.completed`. Discriminator that marks this object as a FusionCallPanelCompletedEvent in a `type`-tagged union. / Always `response.fusion_call.panel.failed`. Discriminator that marks this object as a FusionCallPanelFailedEvent in a `type`-tagged union. / Always `response.fusion_call.analysis.in_progress`. Discriminator that marks this object as a FusionCallAnalysisInProgressEvent in a `type`-tagged union. / Always `response.fusion_call.analysis.completed`. Discriminator that marks this object as a FusionCallAnalysisCompletedEvent in a `type`-tagged union. / Always `response.fusion_call.completed`. Discriminator that marks this object as a FusionCallCompletedEvent in a `type`-tagged union. / Always `response.debug`. Discriminator that marks this object as a DebugEvent in a `type`-tagged union. |
| data.code | string | null | string | Error code; null when the upstream gave none. / The complete code the interpreter runs. |
| data.message | string | Human-readable error message. |
| data.param | string | null | Name of the request parameter the error is about; null when it is not about a parameter. |
| data.item | object | An output item from the response |
| data.output_index | integer | Index of the item in the response output array that this event belongs to. |
| data.content_index | integer | Index of the content part inside the output item that this event belongs to. |
| data.item_id | string | Id of the output item this event belongs to; it equals the id of that item in the response output. |
| data.part | object | The content part as it starts: output text or refusal. / The content part in its final form: output text or refusal. / A reasoning summary part. / A reasoning summary part. |
| data.delta | string | Text fragment to append to the output text of this content part. / Refusal text fragment to append. / Fragment of the JSON-encoded function arguments to append. / Reasoning text fragment to append. / Reasoning summary text fragment to append. / Fragment of the code the interpreter will run, to append. / Fragment of the custom tool call input to append. / Fragment of the patch diff to append. / Text fragment the panel model produced. / Reasoning text fragment the panel model produced. |
| data.logprobs | array<object> | Log probabilities of the tokens in this fragment, when requested. / Log probabilities of the tokens in the complete text, when requested. |
| data.text | string | The complete output text of this content part. / The complete reasoning text of this content part. / The complete reasoning summary text of this part. |
| data.refusal | string | The complete refusal text. |
| data.annotation | object | Annotation attached to output text: a file citation, URL citation or file path. |
| data.annotation_index | integer | Index of the new annotation inside the content part's annotations array. |
| data.arguments | string | The complete JSON-encoded arguments of the function call. |
| data.name | string | Name of the function being called. |
| data.summary_index | integer | Index of the reasoning summary part inside the reasoning item that this event belongs to. |
| data.partial_image_b64 | string | Base64-encoded partial image produced while generation is still running. |
| data.partial_image_index | integer | Zero-based index of this partial image among the partial images of the call. |
| data.input | string | The complete input of the custom tool call. |
| data.diff | string | The complete patch diff. |
| data.model | string | Slug of the panel model that started. / Slug of the panel model that produced the fragment. / Slug of the panel model that produced the fragment. / Slug of the panel model that finished. / Slug of the panel model that failed. |
| data.content | string | The complete answer of the panel model. |
| data.error | string | Error message that explains why the panel model failed. |
| data.status_code | integer | HTTP status code of the failed upstream call, when one is available. |
| data.analyst_model | string | Slug of the model producing the structured analysis. |
| data.judge_model | string | Deprecated alias of `analyst_model`, kept so existing consumers keep working. Always carries the same value. Use `analyst_model`. |
| data.analysis | object | Structured analysis produced by the fusion analyst model. |
| data.debug | object | Debug information. |
Call Create response first, then replace resp_123 with the returned ID.
/openai/v1/responses/{response_id}● Supportedresponse_idstring必填path:
200 response
Reads a stored response by ID. If it was created with store set to false we did not store it, and the read returns 404 response_not_found; after the retention period (30 days by default) the read returns the same 404.
Errors follow the OpenAI format — see error codes
Native Responses API response
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
Call Create response first, then replace resp_123 with the returned ID.
/openai/v1/responses/{response_id}● Supportedresponse_idstring必填path:
200 response
Deletes a stored response by ID immediately. If it was created with store set to false we did not store it, and the delete returns 404 response_not_found.
Errors follow the OpenAI format — see error codes
Native Responses API delete response
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
Call Create response first, then replace resp_123 with the returned ID.
/openai/v1/responses/{response_id}/cancel◐ Partialresponse_idstring必填path:
200 response
Available only for responses created with background:true and routed to a model that can generate in the background. Cancel is idempotent — repeated calls return the same terminal response. Cancelling stops us reading the upstream stream; it cannot guarantee that compute already sent upstream stops, and usage is billed for what was actually received. Calling cancel on a non-background (synchronous) response returns 404 object_not_found if the response id does not exist (not stored, expired or wrong id), or 400 native_responses_operation_unsupported if the response exists but its provider does not declare cancel support (none of the upstreams we connect declares it for synchronous responses). Neither case is the not-implemented 501.
Errors follow the OpenAI format — see error codes
Native Responses API cancel response
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
Call Create response first, then replace resp_123 with the returned ID.
/openai/v1/responses/{response_id}/input_items● Supportedresponse_idstring必填path:
200 list
Lists the input items of a stored response. Supports limit (1–100, default 20), order (asc/desc, default desc, as in the official API) and cursor pagination by item id with after; has_more / first_id / last_id match the page actually returned, so you can page through without gaps or repeats. Every item carries a server-issued id (msg_ for messages, and each of function_call / function_call_output / reasoning has its own prefix); older data stored before ids existed gets deterministic ids on read, without a destructive migration, so repeated reads with the same cursor stay stable. For a response created with previous_response_id, the list shows the full resolved input: the input and output items of the earlier responses in the chain plus the input submitted this turn; if an ancestor response was not stored on the platform (for example created with store false) or has expired, only this turn's own input is listed. If the response was created with store set to false we did not store it, and the list returns 404 response_not_found.
Errors follow the OpenAI format — see error codes
Native Responses API input item list
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
/openai/v1/responses/compact○ Unsupported501 This endpoint is not implemented yet; calling it returns the response below:
Compacts a response's input into a summary. It depends on OpenAI Responses' official server-side storage (store) semantics, which we have not implemented yet; calling it returns 501 (message “This platform has not implemented … yet.”, with the x-should-retry header set to false), has no side effects, and the official SDK will not retry.
Errors follow the OpenAI format — see error codes
Native Responses API compact response
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
/openai/v1/responses/input_tokens○ Unsupported501 This endpoint is not implemented yet; calling it returns the response below:
Counts the tokens the request input would consume without generating content. It depends on OpenAI Responses' official server-side storage (store) semantics, which we have not implemented yet; calling it returns 501 (message “This platform has not implemented … yet.”, with the x-should-retry header set to false), has no side effects, and the official SDK will not retry.
Errors follow the OpenAI format — see error codes
Native Responses API input token count
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
/openai/v1/conversations● Supporteditemsarray可选Verified to take effect.
metadataobject可选Verified to take effect.
200 conversation
Creates a conversation, optionally with initial items (up to 20 at a time) and metadata. Conversations are partitioned by tenant; only the creating tenant can reference it.
Errors follow the OpenAI format — see error codes
The created conversation
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the conversation, such as `conv_...`; use it as `conversation_id` in conversation calls and as `conversation` in createResponse. |
| object | string | Object type; always `conversation`. |
| created_at | integer | Unix time in seconds at which the conversation was created. |
| metadata | object | Up to 16 string key/value pairs; keys at most 64 characters and values at most 512. |
Call Create conversation first, then replace conv_123 with the returned conv_ ID.
/openai/v1/conversations/{conversation_id}● Supportedconversation_idstring必填path:
200 conversation
Reads a conversation by ID. A conversation that does not exist or belongs to another tenant returns 404 conversation_not_found.
Errors follow the OpenAI format — see error codes
The conversation
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the conversation, such as `conv_...`; use it as `conversation_id` in conversation calls and as `conversation` in createResponse. |
| object | string | Object type; always `conversation`. |
| created_at | integer | Unix time in seconds at which the conversation was created. |
| metadata | object | Up to 16 string key/value pairs; keys at most 64 characters and values at most 512. |
Call Create conversation first, then replace conv_123 with the returned conv_ ID.
/openai/v1/conversations/{conversation_id}● Supportedconversation_idstring必填path:
metadataobject必填Verified to take effect.
200 conversation
Updates a conversation's metadata — the whole object is replaced, not merged with the existing metadata.
Errors follow the OpenAI format — see error codes
The updated conversation
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the conversation, such as `conv_...`; use it as `conversation_id` in conversation calls and as `conversation` in createResponse. |
| object | string | Object type; always `conversation`. |
| created_at | integer | Unix time in seconds at which the conversation was created. |
| metadata | object | Up to 16 string key/value pairs; keys at most 64 characters and values at most 512. |
Call Create conversation first, then replace conv_123 with the returned conv_ ID.
/openai/v1/conversations/{conversation_id}● Supportedconversation_idstring必填path:
200 conversation.deleted
Deletes a conversation. After deletion neither the conversation nor its items can be referenced again (including as the conversation parameter of Responses create).
Errors follow the OpenAI format — see error codes
Deletion confirmation
application/json
| Name | Type | Description |
|---|---|---|
| id | string | |
| object | string | |
| deleted | boolean |
Call Create conversation first, then replace conv_123 with the returned conv_ ID.
/openai/v1/conversations/{conversation_id}/items● Supportedconversation_idstring必填path:
itemsarray必填Verified to take effect.
200 list
Appends items to a conversation (up to 20 at a time) and returns the items just added.
Errors follow the OpenAI format — see error codes
The items just added
application/json
| Name | Type | Description |
|---|---|---|
| object | string | Object type; always `list`. |
| data | array<object> | Items of the conversation, in the order the list requested. |
| first_id | string | Id of the first item of this page; null for an empty page. |
| last_id | string | Id of the last item of this page; null for an empty page. |
| has_more | boolean | Whether more items exist beyond this page; pass `last_id` as `after` to read them. |
Call Create conversation first, then replace conv_123 with the returned conv_ ID.
/openai/v1/conversations/{conversation_id}/items● Supportedconversation_idstring必填path:
limitinteger可选query: Maximum items per page (values above 100 are clamped).
afterstring可选query: Item ID from the previous page; returns items after this cursor.
orderstring可选query: Sort by stored creation order.
200 list
Lists a conversation's items in creation order, with limit / after / order pagination.
Errors follow the OpenAI format — see error codes
The conversation's items
application/json
| Name | Type | Description |
|---|---|---|
| object | string | Object type; always `list`. |
| data | array<object> | Items of the conversation, in the order the list requested. |
| first_id | string | Id of the first item of this page; null for an empty page. |
| last_id | string | Id of the last item of this page; null for an empty page. |
| has_more | boolean | Whether more items exist beyond this page; pass `last_id` as `after` to read them. |
Call Create conversation first, then replace conv_123 with the returned conv_ ID. Replace item_123 with an item ID from Create conversation items or List conversation items.
/openai/v1/conversations/{conversation_id}/items/{item_id}● Supportedconversation_idstring必填path:
item_idstring必填path:
200
Reads a single item of a conversation by ID.
Errors follow the OpenAI format — see error codes
The item
application/json
| Name | Type | Description |
|---|---|---|
| $ | object |
Call Create conversation first, then replace conv_123 with the returned conv_ ID. Replace item_123 with an item ID from Create conversation items or List conversation items.
/openai/v1/conversations/{conversation_id}/items/{item_id}● Supportedconversation_idstring必填path:
item_idstring必填path:
200 conversation
Deletes a single item of a conversation and returns the conversation object (not the deleted item).
Errors follow the OpenAI format — see error codes
The conversation, with the item removed
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the conversation, such as `conv_...`; use it as `conversation_id` in conversation calls and as `conversation` in createResponse. |
| object | string | Object type; always `conversation`. |
| created_at | integer | Unix time in seconds at which the conversation was created. |
| metadata | object | Up to 16 string key/value pairs; keys at most 64 characters and values at most 512. |
/openai/v1/images/generations● Supportedmodelstring必填Verified to take effect.
response_formatstring可选○ UnsupportedOmit for GPT Image models, which return native base64 data. Only send for models that explicitly support response_format; platform hosting is a separate Image extension.
gpt-image-2 returns 400 for both b64_json and url; omit this field.
promptstring必填Verified to take effect.
ninteger可选Controls image count; zero returns 400 and values 1–10 are accepted.
sizestring可选◐ Partially supportedgpt-image-2 supports tested 1024x1024 and 1024x1536 sizes; 512x512 returns 400.
qualitystring可选Verified to take effect.
backgroundstring可选transparent returns a transparent PNG on gpt-image-2.
output_formatstring可选jpeg returns JPEG on gpt-image-2.
200
Errors follow the OpenAI format — see error codes
Image generation response
application/json
| Name | Type | Description |
|---|---|---|
| created | integer | |
| data | array<object> | |
| data[].url | string | |
| data[].b64_json | string | |
| data[].revised_prompt | string |
/openai/v1/models● Supportedoffsetinteger可选query: Number of records to skip for pagination. When both offset and limit are omitted, the full list is returned
Verified to take effect.
limitinteger可选query: Maximum number of records to return (max 1000). When both offset and limit are omitted, the full list is returned
Verified to take effect.
categorystring可选○ Currently ignoredquery: Filter models by use case category
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
supported_parametersstring可选○ Currently ignoredquery: Filter models by supported parameter (comma-separated)
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
output_modalitiesstring可选query: Filter models by output modality. Accepts a comma-separated list of modalities (text, image, embeddings, audio, video, rerank, decisions, speech, transcription) or "all" to include all models. When omitted, all models are included; comma-separated modalities match any output.
Verified to take effect.
sortstring可选query: Sort by newest creation date or lowest declared USD unit rate (not estimated request cost). Unpriced models sort last; ties retain catalog order.
Verified to take effect.
qstring可选query: Free-text search by model name or slug.
Verified to take effect.
input_modalitiesstring可选○ Currently ignoredquery: Filter models by input modality. Comma-separated list of: text, image, audio, file.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
contextinteger可选○ Currently ignoredquery: Minimum context length (tokens). Models with smaller context are excluded.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_pricenumber可选○ Currently ignoredquery: Minimum prompt price in $/M tokens.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_pricenumber可选○ Currently ignoredquery: Maximum prompt price in $/M tokens.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
archstring可选○ Currently ignoredquery: Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama).
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
model_authorsstring可选○ Currently ignoredquery: Filter models by the organization that created the model. Comma-separated list of author slugs.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
providersstring可选○ Currently ignoredquery: Filter models by hosting provider. Comma-separated list of provider names.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
distillablestring可选○ Currently ignoredquery: Filter by distillation capability. "true" returns only distillable models, "false" excludes them.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
zdrstring可选○ Currently ignoredquery: When set to "true", return only models with zero data retention endpoints.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
regionstring可选○ Currently ignoredquery: Filter to models with endpoints in the given data region ("eu" or "us").
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_output_pricenumber可选○ Currently ignoredquery: Minimum completion (output) price in $/M tokens.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_output_pricenumber可选○ Currently ignoredquery: Maximum completion (output) price in $/M tokens.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_age_daysinteger可选○ Currently ignoredquery: Minimum model age in days since its creation date.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_age_daysinteger可选○ Currently ignoredquery: Maximum model age in days since its creation date.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_intelligence_indexnumber可选○ Currently ignoredquery: Minimum Artificial Analysis intelligence index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_intelligence_indexnumber可选○ Currently ignoredquery: Maximum Artificial Analysis intelligence index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_coding_indexnumber可选○ Currently ignoredquery: Minimum Artificial Analysis coding index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_coding_indexnumber可选○ Currently ignoredquery: Maximum Artificial Analysis coding index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_agentic_indexnumber可选○ Currently ignoredquery: Minimum Artificial Analysis agentic index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_agentic_indexnumber可选○ Currently ignoredquery: Maximum Artificial Analysis agentic index.
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
min_tool_success_ratenumber可选○ Currently ignoredquery: Minimum tool-calling success rate, as a fraction in [0, 1] (e.g. 0.9 = 90% of requests finishing with a tool_calls finish reason).
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
max_tool_success_ratenumber可选○ Currently ignoredquery: Maximum tool-calling success rate, as a fraction in [0, 1].
Accepted but currently has no effect. Currently does not filter or sort the models by this criterion.
apiarray可选query: Match any comma-separated API family: chat selects openai.chat.completions; responses selects openai.responses; embeddings selects openai.embeddings; images selects openai.images.*; audio selects openai.audio.*; videos selects openai.videos. Omitted or empty includes all OpenAI-offered models. Other filters combine using AND, before pagination. Invalid values return 400 with all legal values.
Filters declared OpenAI APIs before pagination; comma-separated families match any selected API.
200 list
Errors follow the OpenAI format — see error codes
Returns a list of models or RSS feed
application/json
| Name | Type | Description |
|---|---|---|
| data | array<object> | List of available models |
| data[].alias_target | object | Concrete model targeted by this tilde-latest alias, when applicable |
| data[].architecture | object | Model architecture information |
| data[].benchmarks | object | Third-party benchmark rankings for this model. Omitted when no benchmark data is available. |
| data[].canonical_slug | string | Canonical slug for the model |
| data[].context_length | integer | null | Maximum context length in tokens |
| data[].created | integer | Unix timestamp of when the model was created |
| data[].default_parameters | object | null | Default parameters for this model |
| data[].description | string | Description of the model |
| data[].expiration_date | string | null | The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration. |
| data[].hugging_face_id | string | null | Hugging Face model identifier, if applicable |
| data[].id | string | Unique identifier for the model |
| data[].knowledge_cutoff | string | null | The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown. |
| data[].links | object | Related API endpoints and resources for this model. |
| data[].name | string | Display name of the model |
| data[].per_request_limits | object | null | Per-request token limits |
| data[].pricing | object | Pricing information for the model |
| data[].reasoning | object | Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models. |
| data[].supported_parameters | array<string> | List of supported parameters for this model |
| data[].supported_voices | array | null | List of supported voice identifiers for TTS models. Null for non-TTS models. |
| data[].top_provider | object | Information about the top provider for this model |
| links | object | Pagination links |
| links.next | string | null | URL for the next page of results, or null if this is the last page |
| total_count | integer | Total number of models matching the query |
/openai/v1/models/{model}● Supportedmodelstring必填path: Model ID from GET /openai/v1/models, including any publisher prefix.
200 model
Returns the same model object as its entry in the list. Only models that declare an OpenAI API are visible; model IDs may carry slash-separated publisher prefixes. A model that does not exist or declares no OpenAI API returns 404.
Errors follow the OpenAI format — see error codes
The matching OpenRouter model list entry.
application/json
| Name | Type | Description |
|---|---|---|
| alias_target | object | Concrete model targeted by this tilde-latest alias, when applicable |
| alias_target.name | string | Human-readable name of the concrete model targeted by this alias |
| alias_target.slug | string | Routable model ID of the concrete target, matching that model row's id |
| architecture | object | Model architecture information |
| architecture.input_modalities | array<string> | Supported input modalities |
| architecture.instruct_type | string | null | Instruction format type |
| architecture.modality | string | null | Primary modality of the model |
| architecture.output_modalities | array<string> | Supported output modalities |
| architecture.tokenizer | string | Tokenizer type used by the model |
| benchmarks | object | Third-party benchmark rankings for this model. Omitted when no benchmark data is available. |
| benchmarks.artificial_analysis | object | Artificial Analysis benchmark index scores. |
| benchmarks.design_arena | array<object> | Design Arena ELO rankings across arena+category pairs. |
| canonical_slug | string | Canonical slug for the model |
| context_length | integer | null | Maximum context length in tokens |
| created | integer | Unix timestamp of when the model was created |
| default_parameters | object | null | Default parameters for this model |
| default_parameters.frequency_penalty | number | null | |
| default_parameters.presence_penalty | number | null | |
| default_parameters.repetition_penalty | number | null | |
| default_parameters.temperature | number | null | |
| default_parameters.top_k | integer | null | |
| default_parameters.top_p | number | null | |
| description | string | Description of the model |
| expiration_date | string | null | The date after which the model may be removed. ISO 8601 date string (YYYY-MM-DD) or null if no expiration. |
| hugging_face_id | string | null | Hugging Face model identifier, if applicable |
| id | string | Unique identifier for the model |
| knowledge_cutoff | string | null | The date up to which the model was trained on data. ISO 8601 date string (YYYY-MM-DD) or null if unknown. |
| links | object | Related API endpoints and resources for this model. |
| links.details | string | URL for the model details/endpoints API |
| name | string | Display name of the model |
| per_request_limits | object | null | Per-request token limits |
| per_request_limits.completion_tokens | number | Maximum completion tokens per request |
| per_request_limits.prompt_tokens | number | Maximum prompt tokens per request |
| pricing | object | Pricing information for the model |
| pricing.audio | string | Price in USD per audio input token |
| pricing.audio_output | string | Price in USD per audio output token |
| pricing.completion | string | Price in USD per token for completion (output) generation |
| pricing.discount | number | Fractional discount applied to this endpoint's pricing; the price is multiplied by (1 - discount) (0 = no discount, 1 = free) |
| pricing.image | string | Price in USD per image; present only for a flat registry price |
| pricing.image_output | string | Price in USD per output image |
| pricing.image_token | string | Price in USD per image token |
| pricing.input_audio_cache | string | Price in USD per cached audio input token |
| pricing.input_cache_read | string | Price in USD per cached input token (read) |
| pricing.input_cache_write | string | Price per cache-write token, in USD per token. For providers with multiple cache TTLs (e.g. Anthropic), this is the default (5-minute) cache-write rate. |
| pricing.input_cache_write_1h | string | Price per 1-hour cache-write token, in USD per token. Only present for providers that price an extended (1-hour) cache TTL separately, such as Anthropic. |
| pricing.internal_reasoning | string | Price in USD per internal reasoning token |
| pricing.overrides | array<object> | Conditional overrides of the base pricing (e.g. long-context or time-based pricing). An entry applies when all of its condition fields (e.g. min_prompt_tokens, or the utc_start/utc_end time window) match the request; among applicable entries, later entries win per key; price keys absent from an entry inherit the base price. The top-level pricing keys always reflect the price that applies under default conditions. |
| pricing.prompt | string | Price in USD per token for prompt (input) processing |
| pricing.request | string | Price in USD per request |
| pricing.web_search | string | Price in USD per web search |
| pricing.video_second | string | Praxis extension: USD per second of output video. |
| pricing.audio_input_minute | string | Praxis extension: USD per minute of input audio. |
| pricing.audio_output_minute | string | Praxis extension: USD per minute of output audio. |
| pricing.input_character | string | Praxis extension: USD per input character. |
| pricing.page | string | Praxis extension: USD per OCR page. |
| reasoning | object | Reasoning effort configuration. Omitted for non-reasoning models and dynamic router models. |
| reasoning.default_effort | string | null | Default reasoning effort when the client enables reasoning without specifying effort. Maps to `reasoning.effort` in chat requests. When `"none"`, prefer omitting effort unless the user explicitly disables reasoning. |
| reasoning.default_enabled | boolean | Default reasoning enabled state when the client does not set `reasoning.enabled`. |
| reasoning.mandatory | boolean | When true, reasoning cannot be disabled and effort "none" is rejected. |
| reasoning.supported_efforts | array | null | Allowed reasoning effort values for this model, in descending effort order (highest first). Null means no allowlist — all gateway effort values are accepted. |
| reasoning.supports_max_tokens | boolean | Present and `true` when the model accepts `reasoning.max_tokens` in requests (Anthropic-style) instead of or in addition to `reasoning.effort`. Omitted otherwise. |
| supported_parameters | array<string> | List of supported parameters for this model |
| supported_voices | array | null | List of supported voice identifiers for TTS models. Null for non-TTS models. |
| top_provider | object | Information about the top provider for this model |
| top_provider.context_length | integer | null | Context length from the top provider |
| top_provider.is_moderated | boolean | Whether the top provider moderates content |
| top_provider.max_completion_tokens | integer | null | Maximum completion tokens from the top provider. Input and output tokens share the context window, so the effective maximum output for a request is further limited by the context remaining after input tokens. |
/openai/v1/embeddings● Supportedmodelstring必填The model to use for embeddings
Verified to take effect.
dimensionsinteger可选◐ Partially supportedThe number of dimensions for the output embeddings
Only text-embedding-3-small and qwen3-vl-embedding support the tested 256 dimensions; text-embedding-3-small also supports 512, while 100 returns 400. 256 returns 400 on bge-m3, qwen3-embedding-0.6b and doubao-embedding-vision.
encoding_formatstring可选The format of the output embeddings
Both float and base64 are supported; base64 encodes the vector bytes.
inputstring | array必填◐ Partially supportedText, token, or multimodal input(s) to embed
Text and text arrays work; integer token arrays return 400. Images work only on qwen3-vl-embedding and doubao-embedding-vision; a 16-item text-embedding-3-small batch returns 400.
input_typestring可选◐ Partially supportedThe type of input (e.g. search_query, search_document)
query/document work on bge-m3 and qwen3-embedding-0.6b; search_query returns 400. text-embedding-3-small accepts but currently ignores this field.
providerobject可选◐ Partially supportedProvider routing preferences for the request.
bge-m3 and qwen3-embedding-0.6b return 400; text-embedding-3-small accepts it, with an unobservable effect.
allow_fallbacksboolean可选Whether to allow backup providers to serve requests - true: (default) when the primary provider (or your custom providers in "order") is unavailable, use the next best provider. - false: use only the primary/custom provider, and return the upstream error if it's unavailable.
data_collectionstring可选Data collection setting. If no available model provider meets the requirement, your request will return an error. - allow: (default) allow providers which store user data non-transiently and may train on it - deny: use only providers which do not collect user data.
enforce_distillable_textboolean可选Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used.
ignorearray可选List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request.
max_priceobject可选The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion.
onlyarray可选List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request.
orderarray可选An ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message.
preferred_max_latencynumber | object可选Preferred maximum latency (in seconds). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints above the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold.
preferred_min_throughputnumber | object可选Preferred minimum throughput (in tokens per second). Can be a number (applies to p50) or an object with percentile-specific cutoffs. Endpoints below the threshold(s) may still be used, but are deprioritized in routing. When using fallback models, this may cause a fallback model to be used instead of the primary model if it meets the threshold.
quantizationsarray可选A list of quantization levels to filter the provider by.
require_parametersboolean可选Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest.
sortstring | object可选The sorting strategy to use for this request, if "order" is not specified. When set, no load balancing is performed.
zdrboolean可选Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used.
session_idstring可选◐ Partially supportedA unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.
bge-m3 and qwen3-embedding-0.6b return 400; text-embedding-3-small accepts it, with an unobservable effect.
traceobject可选◐ Partially supportedMetadata for observability and tracing. Known keys (trace_id, trace_name, span_name, generation_name, parent_span_id) have special handling. Additional keys are passed through as custom metadata to configured broadcast destinations.
bge-m3 and qwen3-embedding-0.6b return 400; text-embedding-3-small accepts it, with an unobservable effect.
generation_namestring可选Name of this generation in the trace.
parent_span_idstring可选Id of the parent span in the trace.
span_namestring可选Name of this request's span in the trace.
trace_idstring可选Id that groups several requests into one trace.
trace_namestring可选Name of the trace.
userstring可选◐ Partially supportedA unique identifier for the end-user
bge-m3 and qwen3-embedding-0.6b return 400; text-embedding-3-small accepts it, with an unobservable effect.
200 list
Forwarded the same way as chat completions, and usage is billed on the same account. Unknown top-level fields are forwarded unchanged to same-protocol upstream providers, which decide whether to accept them. Declared fields still undergo type and range validation; invalid values return 400 naming the field.
Errors follow the OpenAI format — see error codes
Embedding response
application/json
| Name | Type | Description |
|---|---|---|
| data | array<object> | List of embedding objects |
| data[].embedding | array<number> | string | Embedding vector as an array of floats or a base64 string |
| data[].index | integer | Index of the embedding in the input list |
| data[].object | string | |
| id | string | Unique identifier for the embeddings response |
| model | string | The model used for embeddings |
| object | string | |
| usage | object | Token usage statistics |
| usage.cost | number | Cost of the request in credits |
| usage.cost_details | object | null | Breakdown of upstream inference costs |
| usage.is_byok | boolean | Whether a request was made using a Bring Your Own Key configuration |
| usage.prompt_tokens | integer | Number of tokens in the input |
| usage.prompt_tokens_details | object | Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included. |
| usage.total_tokens | integer | Total number of tokens used |
text/event-stream — chunk / event object
| Name | Type | Description |
|---|---|---|
| $ | string | Not used for embeddings - embeddings do not support streaming |
/openai/v1/videos● Supportedmodelstring可选◐ Partially supportedVideo model id, for example `wan2.7-t2v`; list candidates with listModels?type=video. Router support (partial): Select a registered video model explicitly, for example wan2.7-t2v (size=1280x720, seconds=4). Capability preflight errors are reported before creation.
Select a registered video model explicitly, for example wan2.7-t2v (size=1280x720, seconds=4). Capability preflight errors are reported before creation.
promptstring必填Text description of the video, at least 1 character. Router support (supported): Controls video content; missing or empty values return 400.
Controls video content; missing or empty values return 400.
secondsstring | integer可选When both are supplied, seconds overrides duration.
Duration works on wan2.7-t2v; malformed values or values outside model capabilities return 400 during preflight.
durationinteger可选Length of the video in whole seconds. `seconds` takes precedence when both are given.
sizestring可选◐ Partially supportedOutput resolution as `WIDTHxHEIGHT`, for example `1280x720`. Router support (partial): Subject to model capability preflight. Earlier wan2.7-t2v samples always produced 1280x720; accepted sizes are not guaranteed pixel-for-pixel.
Subject to model capability preflight. Earlier wan2.7-t2v samples always produced 1280x720; accepted sizes are not guaranteed pixel-for-pixel.
input_referencestring | object可选Reference image for image-to-video: a URL or base64 data URL, an object with `image_url`, or an uploaded image file (multipart, at most 20 MiB).
image_urlstring | object必填URL or base64 data URL of the reference image, as a string or an object with `url`.
input_referencesarray可选Several reference images; each entry is a URL or base64 data URL, or an object with `image_url`.
image_urlstring | object可选URL or base64 data URL of the reference image, as a string or an object with `url`.
frame_imagesarray可选Images that pin the first and last frame; at most 2 entries.
typeany可选Always `image_url`. Discriminator of the `type`-tagged union this object belongs to.
frame_typeany必填Frame to constrain with the supplied image: first_frame or last_frame. Each frame type may occur at most once.
image_urlobject必填The image to pin.
resolutionstring可选Output resolution label such as `720p`, for models that take a label instead of `size`.
aspect_ratiostring可选Aspect ratio of the video such as `16:9`.
generate_audioboolean可选Whether the video carries a generated audio track. Router support (supported): false produces no audio track on wan2.7-t2v; the default output includes audio.
false produces no audio track on wan2.7-t2v; the default output includes audio.
seedinteger可选Seed for reproducible generation, on models that support it.
callback_urlstring可选HTTP or HTTPS callback URL, forwarded to models that support completion callbacks.
qualitystring可选Provider-specific quality setting.
200 video
Generates video asynchronously: create a job, poll its status, then download the content. Billed per second of output; GET /model/v1/models exposes pricing.video_second in USD per second. Select a registered video model explicitly, for example wan2.7-t2v.
Errors follow the OpenAI format — see error codes
Success
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the video job; pass it as `video_id` to retrieve, download or delete it. |
| object | string | Object type; always `video`. |
| model | string | Model that generates the video. |
| status | string | Lifecycle of the job. Poll until it is `completed` or `failed`. |
| progress | integer | Progress from 0 to 100. It is 0 until the job completes and 100 once it has. |
| created_at | integer | Unix time in seconds at which the job was created. |
| completed_at | integer | null | Unix time in seconds at which the job completed; null until then. |
| expires_at | integer | null | Unix time in seconds after which the output expires; null because outputs currently have no expiry. |
| seconds | string | Length of the video in seconds, as a string; for a completed job it is the delivered length. |
| size | string | Resolution of the video as `WIDTHxHEIGHT`; null when the provider did not report one. |
| prompt | string | null | Prompt the job was created with. |
| remixed_from_video_id | null | Always null; remix is not supported. |
| error | object | null | Why the job failed; null unless status is `failed`. |
| error.code | string | Machine-readable failure code. |
| error.message | string | Human-readable failure message. |
| polling_url | string | Relative URL to poll for the job state; same as retrieveVideo for this job. |
| unsigned_urls | array<string> | Relative URLs of the finished output; empty until the video is ready. Download them with the same API key. |
| usage | object | Cost of the job; present once a price applies. |
| usage.cost | number | Cost of the job in USD: delivered seconds times the per-second price once completed, 0 while running. |
/openai/v1/videos● Supportedafterstring可选query: Cursor: the id of the video job after which the page starts, normally the `last_id` of the previous page. It must refer to an existing job of yours, otherwise the call fails.
Pagination works; limit is 1–100, order is asc/desc, and after must refer to an existing job.
limitinteger可选query: Maximum number of jobs per page, from 1 to 100; defaults to 20.
Pagination works; limit is 1–100, order is asc/desc, and after must refer to an existing job.
orderany可选query: Sort order by creation time: desc (default) lists the newest job first, asc the oldest first.
Pagination works; limit is 1–100, order is asc/desc, and after must refer to an existing job.
200 list
Lists the video jobs of your account. limit is 1–100, order is asc or desc, and after must refer to an existing job.
Errors follow the OpenAI format — see error codes
Success
application/json
| Name | Type | Description |
|---|---|---|
| object | string | Object type; always `list`. |
| data | array<object> | Video jobs of the caller, newest first by default. |
| data[].id | string | Id of the video job; pass it as `video_id` to retrieve, download or delete it. |
| data[].object | string | Object type; always `video`. |
| data[].model | string | Model that generates the video. |
| data[].status | string | Lifecycle of the job. Poll until it is `completed` or `failed`. |
| data[].progress | integer | Progress from 0 to 100. It is 0 until the job completes and 100 once it has. |
| data[].created_at | integer | Unix time in seconds at which the job was created. |
| data[].completed_at | integer | null | Unix time in seconds at which the job completed; null until then. |
| data[].expires_at | integer | null | Unix time in seconds after which the output expires; null because outputs currently have no expiry. |
| data[].seconds | string | Length of the video in seconds, as a string; for a completed job it is the delivered length. |
| data[].size | string | Resolution of the video as `WIDTHxHEIGHT`; null when the provider did not report one. |
| data[].prompt | string | null | Prompt the job was created with. |
| data[].remixed_from_video_id | null | Always null; remix is not supported. |
| data[].error | object | null | Why the job failed; null unless status is `failed`. |
| data[].polling_url | string | Relative URL to poll for the job state; same as retrieveVideo for this job. |
| data[].unsigned_urls | array<string> | Relative URLs of the finished output; empty until the video is ready. Download them with the same API key. |
| data[].usage | object | Cost of the job; present once a price applies. |
| has_more | boolean | Whether more jobs exist beyond this page; pass `last_id` as `after` to read them. |
| first_id | string | null | Id of the first job in this page; null for an empty page. |
| last_id | string | null | Id of the last job in this page; null for an empty page. |
Call Create video first and replace video_123 with its ID; poll until completed before downloading.
/openai/v1/videos/{video_id}● Supportedvideo_idstring必填path: Id of the video job whose output you want, the `id` returned by createVideo. The job must be completed; before that the call answers 400.
200 video
Reads the job's current status and progress. Keep polling while status is queued or in_progress, inspect error when it is failed, and download the content only once it is completed. An unknown job returns 404.
Errors follow the OpenAI format — see error codes
Success
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the video job; pass it as `video_id` to retrieve, download or delete it. |
| object | string | Object type; always `video`. |
| model | string | Model that generates the video. |
| status | string | Lifecycle of the job. Poll until it is `completed` or `failed`. |
| progress | integer | Progress from 0 to 100. It is 0 until the job completes and 100 once it has. |
| created_at | integer | Unix time in seconds at which the job was created. |
| completed_at | integer | null | Unix time in seconds at which the job completed; null until then. |
| expires_at | integer | null | Unix time in seconds after which the output expires; null because outputs currently have no expiry. |
| seconds | string | Length of the video in seconds, as a string; for a completed job it is the delivered length. |
| size | string | Resolution of the video as `WIDTHxHEIGHT`; null when the provider did not report one. |
| prompt | string | null | Prompt the job was created with. |
| remixed_from_video_id | null | Always null; remix is not supported. |
| error | object | null | Why the job failed; null unless status is `failed`. |
| error.code | string | Machine-readable failure code. |
| error.message | string | Human-readable failure message. |
| polling_url | string | Relative URL to poll for the job state; same as retrieveVideo for this job. |
| unsigned_urls | array<string> | Relative URLs of the finished output; empty until the video is ready. Download them with the same API key. |
| usage | object | Cost of the job; present once a price applies. |
| usage.cost | number | Cost of the job in USD: delivered seconds times the per-second price once completed, 0 while running. |
Call Create video first and replace video_123 with its ID; poll until completed before downloading.
/openai/v1/videos/{video_id}/content● Supportedvideo_idstring必填path: Id of the video job whose output you want, the `id` returned by createVideo. The job must be completed; before that the call answers 400.
variantany可选◐ Partially supportedquery: Spritesheet is not available in this release (400).
video and thumbnail work; spritesheet returns 400.
indexinteger可选◐ Partially supportedquery: Output index; this release produces index 0. variant takes precedence.
Video supports index=0 only; positive or negative indices return 400. With variant=thumbnail, index is accepted but currently ignored.
200
Downloads the video file (video, MP4) or the thumbnail (thumbnail) once the job is completed; spritesheet returns 400 and index supports 0 only. An unknown job returns 404.
Errors follow the OpenAI format — see error codes
Video or thumbnail bytes
video/mp4
| Name | Type | Description |
|---|---|---|
| $ | string (binary) |
image/jpeg
| Name | Type | Description |
|---|---|---|
| $ | string (binary) |
Call Create video first and replace video_123 with its ID; poll until completed before downloading.
/openai/v1/videos/{video_id}● Supportedvideo_idstring必填path: Id of the video job whose output you want, the `id` returned by createVideo. The job must be completed; before that the call answers 400.
200 video.deleted
Deletes the job and its generated content. An unknown job returns 404.
Errors follow the OpenAI format — see error codes
Success
application/json
| Name | Type | Description |
|---|---|---|
| id | string | Id of the deleted video job. |
| object | string | Object type; always `video.deleted`. |
| deleted | boolean | Always true; the job is no longer readable. |
Call Create video first and replace video_123 with its ID; poll until completed before downloading.
/openai/v1/videos/{video_id}/remix○ Unsupportedvideo_idstring必填path: Id of the video job whose output you want, the `id` returned by createVideo. The job must be completed; before that the call answers 400.
400 Remixing is not supported. Do not retry.
Unsupported; the call always returns 400 (invalid_request_error, message "Video remix is not supported"). Do not retry.
Errors follow the OpenAI format — see error codes
This endpoint does not declare a successful response.
/openai/v1/audio/transcriptions● Supportedmodelstring必填Verified to take effect.
temperaturenumber可选○ UnsupportedBoth whisper-large-v3-turbo and qwen3-asr-flash return 400.
response_formatstring可选◐ Partially supportedjson/text work on both; verbose_json works only on whisper-large-v3-turbo. srt/vtt return 400.
filestring必填Verified to take effect.
languagestring可选◐ Partially supportedBoth models accept ISO language codes. qwen3-asr-flash may translate output to that language; whisper-large-v3-turbo treats it as an input hint. Non-ISO names may return 502.
promptstring可选◐ Partially supportedVocabulary hints work on whisper-large-v3-turbo only; qwen3-asr-flash returns 400.
timestamp_granularities[]array可选◐ Partially supportedOnly whisper-large-v3-turbo supports segment with verbose_json. word returns 400; qwen3-asr-flash does not support timestamps.
200
Standard request fields; unrepresentable parameters return input_not_representable.
Errors follow the OpenAI format — see error codes
Transcription in the requested format.
text/plain
| Name | Type | Description |
|---|---|---|
| $ | string |
application/json
| Name | Type | Description |
|---|---|---|
| text | string | |
| task | string | |
| language | string | |
| duration | number | |
| segments | array<object> | |
| segments[].id | integer | |
| segments[].start | number | |
| segments[].end | number | |
| segments[].text | string | |
| segments[].temperature | number | |
| segments[].avg_logprob | number | |
| segments[].compression_ratio | number | |
| segments[].no_speech_prob | number |
/openai/v1/files◐ Partialfilestring必填The File object (not file name) to be uploaded.
Verified to take effect.
purposestring必填◐ Partially supportedThe file purpose: user_data, assistants or vision (vision accepts only PNG, JPEG, GIF or WebP images). Other OpenAI purposes such as batch, fine-tune and evals are not supported and return 400 PURPOSE_UNSUPPORTED.
Supports user_data, assistants and vision; batch, fine-tune, evals and other values return 400.
expires_afterobject可选The expiration policy for a file. By default, files with `purpose=batch` expire after 30 days and all other files are persisted until they are manually deleted.
anchor=created_at and seconds=3600–2592000.
anchorstring必填Anchor timestamp after which the expiration policy applies. Supported anchors: `created_at`.
secondsinteger必填The number of seconds after the anchor time that the file will expire. Must be between 3600 (1 hour) and 2592000 (30 days).
200 file
Upload one file, up to 100 MB (104857600 bytes), using streaming multipart/form-data. Supported content-detected types: PDF; DOCX, XLSX, PPTX; PNG, JPEG, GIF, WebP; MP3, WAV, FLAC, OGG, M4A; MP4, WebM; UTF-8 JSON, NDJSON, CSV, Markdown and plain text. Purposes: user_data, assistants, vision. Other purposes and empty/unsupported/oversized files return 400. OpenAI Uploads chunking is not supported. expires_after accepts anchor created_at and seconds 3600–2592000. Only form file, purpose, expires_after[anchor] and expires_after[seconds] are accepted; any other form field or any query parameter returns 400 invalid_request_error "Unrecognized request argument supplied: <name>" with param naming it.
Errors follow the OpenAI format — see error codes
OK
application/json
| Name | Type | Description |
|---|---|---|
| id | string | The file identifier, which can be referenced in the API endpoints. |
| bytes | integer | The size of the file, in bytes. |
| created_at | integer | The Unix timestamp (in seconds) for when the file was created. |
| expires_at | integer | The Unix timestamp (in seconds) for when the file will expire. |
| filename | string | The name of the file. |
| object | string | The object type, which is always `file`. |
| purpose | string | The intended purpose of the file. Supported values are `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`, `vision`, and `user_data`. |
| status | string | Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`. |
| status_details | string | Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. |
/openai/v1/files● Supportedpurposestring可选query: Only return files with the given purpose.
Verified to take effect.
limitinteger可选query: A limit on the number of objects to be returned. Limit can range between 1 and 10,000, and the default is 10,000.
Verified to take effect.
orderstring可选query: Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and `desc` for descending order.
Verified to take effect.
afterstring可选query: A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.
Verified to take effect.
200 list
Only the after, order, limit and purpose query parameters are accepted; any other returns 400 invalid_request_error "Unrecognized request argument supplied: <name>" with param naming it.
Errors follow the OpenAI format — see error codes
OK
application/json
| Name | Type | Description |
|---|---|---|
| object | string | |
| data | array<object> | |
| data[].id | string | The file identifier, which can be referenced in the API endpoints. |
| data[].bytes | integer | The size of the file, in bytes. |
| data[].created_at | integer | The Unix timestamp (in seconds) for when the file was created. |
| data[].expires_at | integer | The Unix timestamp (in seconds) for when the file will expire. |
| data[].filename | string | The name of the file. |
| data[].object | string | The object type, which is always `file`. |
| data[].purpose | string | The intended purpose of the file. Supported values are `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`, `vision`, and `user_data`. |
| data[].status | string | Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`. |
| data[].status_details | string | Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. |
| first_id | string | |
| last_id | string | |
| has_more | boolean |
Upload a file first, then replace the example file ID with its returned ID.
/openai/v1/files/{file_id}● Supportedfile_idstring必填path: The ID of the file to use for this request.
200 file
Errors follow the OpenAI format — see error codes
OK
application/json
| Name | Type | Description |
|---|---|---|
| id | string | The file identifier, which can be referenced in the API endpoints. |
| bytes | integer | The size of the file, in bytes. |
| created_at | integer | The Unix timestamp (in seconds) for when the file was created. |
| expires_at | integer | The Unix timestamp (in seconds) for when the file will expire. |
| filename | string | The name of the file. |
| object | string | The object type, which is always `file`. |
| purpose | string | The intended purpose of the file. Supported values are `assistants`, `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`, `vision`, and `user_data`. |
| status | string | Deprecated. The current status of the file, which can be either `uploaded`, `processed`, or `error`. |
| status_details | string | Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. |
Upload a file first, then replace the example file ID with its returned ID.
/openai/v1/files/{file_id}● Supportedfile_idstring必填path: The ID of the file to use for this request.
200 file
Errors follow the OpenAI format — see error codes
OK
application/json
| Name | Type | Description |
|---|---|---|
| id | string | |
| object | string | |
| deleted | boolean |
Upload a file first, then replace the example file ID with its returned ID.
/openai/v1/files/{file_id}/content● Supportedfile_idstring必填path: The ID of the file to use for this request.
200
Errors follow the OpenAI format — see error codes
OK
application/octet-stream
| Name | Type | Description |
|---|---|---|
| $ | string (binary) |
The official openai Python SDK can use vector stores, files and batches directly. Both URLs access the same data.
https://api.deepraxis.ai/openai/v1
Quickstart: official Python SDK
Search returns chunks, so a file may appear more than once; max_num_results counts chunks. rewrite_query: true first rewrites the query with a small model (billed by model usage; falls back to the original query on failure); the model it uses can only be set through models on the native API, and passing models here returns 400. Search has_more is always false and next_page always null. description is accepted but discarded. expand=files and expand[]=files are Praxis extensions; unknown values are ignored.
Deleted stores are retained for 7 days. Retrieval can still return 200 completed, while writes and search return 409. Use the native API for restore, retry, segments, events and hybrid-search weights. Compatible responses omit praxis, chunk_id, page and span. usage_bytes counts extracted chunk text bytes. Unknown request fields are currently ignored.
| Method | Path | Operation |
|---|---|---|
| POST | /openai/v1/vector_stores | Create knowledge base |
| GET | /openai/v1/vector_stores | List knowledge bases |
| GET | /openai/v1/vector_stores/{vector_store_id} | Retrieve knowledge base |
| POST | /openai/v1/vector_stores/{vector_store_id} | Update knowledge base |
| DELETE | /openai/v1/vector_stores/{vector_store_id} | Delete knowledge base |
| POST | /openai/v1/vector_stores/{vector_store_id}/search | Search knowledge base |
| POST | /openai/v1/vector_stores/{vector_store_id}/files | Add file |
| GET | /openai/v1/vector_stores/{vector_store_id}/files | List files |
| GET | /openai/v1/vector_stores/{vector_store_id}/files/{file_id} | Retrieve file |
| POST | /openai/v1/vector_stores/{vector_store_id}/files/{file_id} | Update file attributes |
| DELETE | /openai/v1/vector_stores/{vector_store_id}/files/{file_id} | Remove file |
| GET | /openai/v1/vector_stores/{vector_store_id}/files/{file_id}/content | Read extracted content |
| POST | /openai/v1/vector_stores/{vector_store_id}/file_batches | Create file batch |
| GET | /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id} | Retrieve file batch |
| POST | /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel | Cancel file batch |
| GET | /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files | List batch files |
POST /openai/v1/vector_stores
Create a knowledge base, optionally starting ingestion of uploaded file_ids in the same call; no separate attachment or batch is needed for those files. Use the returned id with vectorStores.files.retrieve to poll each attachment until completed, failed or cancelled; store status=completed alone does not mean every file succeeded. Unlike OpenAI vector stores, each file is limited to 100000000 bytes and each account to 100 active/nondeleted stores. Minimal body: {"name":"Refund policies"}.
| Field | Type | Description |
|---|---|---|
| name | string | optional; Omitted name becomes an empty string; null is rejected.; max characters: 256; default: "" |
| metadata | object / null | optional; User-defined string metadata for the store; omission or null creates an empty map.; default: {} |
| expires_after | object / null | optional; Expiry policy from last activity; omission or null disables automatic expiry.; default: null |
| expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
| file_ids | string[] | optional; Existing File IDs to attach; the store allows up to 10,000 files. |
| chunking_strategy | object / object | optional; auto resolves to static with 800 estimated tokens and 400 overlap tokens. Unlike OpenAI vector stores, token counts are estimates; each Han character counts as one, and other whitespace-delimited words count as their UTF-16 length divided by four, rounded up.; default: {"type":"auto"} |
| chunking_strategy (1).type | "auto" | required; auto uses the default static chunk size of 800 estimated tokens with 400 overlap tokens. |
| chunking_strategy (2).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| chunking_strategy (2).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| chunking_strategy (2).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| chunking_strategy (2).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| description | string | optional; ignored: Accepted but not saved or returned; its type is not validated. |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"name\":\"Refund policies\"}"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store" | required; Object discriminator; vector_store identifies a knowledge base. |
| name | string | required; Display name of the knowledge base; an empty string means no name was set.; max characters: 256 |
| status | "in_progress" / "completed" / "expired" | required; in_progress means at least one file is ingesting; completed means no file is ingesting, even if some failed; expired means the expiry policy has taken effect. |
| usage_bytes | integer | required; Sum of completed source file sizes in bytes.; min: 0 |
| file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
| last_active_at | integer / null | required; Most recent creation, file attachment or search time in Unix seconds; null when unavailable. |
| expires_after | object / null | required; Expiry policy measured from last activity; null disables automatic expiry. |
| expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
| expires_at | integer / null | required; Scheduled expiry time in Unix seconds; null when no expiry policy is set. |
| metadata | object | required; Up to 16 keys; keys up to 64 characters; string values up to 512 characters.; max keys: 16; Key length ≤ 64; Values: string |
GET /openai/v1/vector_stores
Lists knowledge bases visible to the caller, newest first by default. Use last_id as after to read the next page; for example, ?limit=20.
| Name | Location and type | Description |
|---|---|---|
| after | query: string | Cursor ID from the previous page. min characters: 1 |
| before | query: string | Return items before this ID. min characters: 1 |
| limit | query: integer | Page size. min: 1; max: 100; default: 20 |
| order | query: "asc" / "desc" | Order by creation time; defaults to desc for stores/files and asc by index for segments. default: "desc" |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| object | "list" | required; Object discriminator; list identifies a cursor-paginated collection. |
| data | object[] | required; Current page of knowledge bases in the requested order. |
| data[].id | string | required; Resource ID.; min characters: 1 |
| data[].object | "vector_store" | required; Object discriminator; vector_store identifies a knowledge base. |
| data[].name | string | required; Display name of the knowledge base; an empty string means no name was set.; max characters: 256 |
| data[].status | "in_progress" / "completed" / "expired" | required; in_progress means at least one file is ingesting; completed means no file is ingesting, even if some failed; expired means the expiry policy has taken effect. |
| data[].usage_bytes | integer | required; Sum of completed source file sizes in bytes.; min: 0 |
| data[].file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| data[].file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| data[].file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| data[].file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| data[].file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| data[].file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| data[].created_at | integer | required; Unix timestamp in seconds. |
| data[].last_active_at | integer / null | required; Most recent creation, file attachment or search time in Unix seconds; null when unavailable. |
| data[].expires_after | object / null | required; Expiry policy measured from last activity; null disables automatic expiry. |
| data[].expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| data[].expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
| data[].expires_at | integer / null | required; Scheduled expiry time in Unix seconds; null when no expiry policy is set. |
| data[].metadata | object | required; Up to 16 keys; keys up to 64 characters; string values up to 512 characters.; max keys: 16; Key length ≤ 64; Values: string |
| first_id | string / null | required; ID of the first item on this page; null for an empty page. |
| last_id | string / null | required; ID of the last item on this page; use as after to continue. Null for an empty page. |
| has_more | boolean | required; Whether additional items remain after this page within the selected cursor range. |
GET /openai/v1/vector_stores/{vector_store_id}
Retrieves a knowledge base using an id returned by create or list. Add ?expand=files to include the first page of attached files. Deleted stores return 404.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| expand | query: "files"[] | Praxis extension on both URLs: files includes the first file page. Unknown values are ignored. |
| expand[] | query: "files"[] | Praxis extension on both URLs: files includes the first file page. Unknown values are ignored. |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| (1).id | string | required; Resource ID.; min characters: 1 |
| (1).object | "vector_store" | required; Object discriminator; vector_store identifies a knowledge base. |
| (1).name | string | required; Display name of the knowledge base; an empty string means no name was set.; max characters: 256 |
| (1).status | "in_progress" / "completed" / "expired" | required; in_progress means at least one file is ingesting; completed means no file is ingesting, even if some failed; expired means the expiry policy has taken effect. |
| (1).usage_bytes | integer | required; Sum of completed source file sizes in bytes.; min: 0 |
| (1).file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| (1).file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| (1).file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| (1).file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| (1).file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| (1).file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| (1).created_at | integer | required; Unix timestamp in seconds. |
| (1).last_active_at | integer / null | required; Most recent creation, file attachment or search time in Unix seconds; null when unavailable. |
| (1).expires_after | object / null | required; Expiry policy measured from last activity; null disables automatic expiry. |
| (1).expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| (1).expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
| (1).expires_at | integer / null | required; Scheduled expiry time in Unix seconds; null when no expiry policy is set. |
| (1).metadata | object | required; Up to 16 keys; keys up to 64 characters; string values up to 512 characters.; max keys: 16; Key length ≤ 64; Values: string |
| (2).files | object | optional; First page of files, only when expand=files. |
| (2).files.object | "list" | required; Object discriminator; list identifies a cursor-paginated collection. |
| (2).files.data | object[] | required; Current page of attached files in the requested order. |
| (2).files.data[].id | string | required; Same ID as the source File.; min characters: 1 |
| (2).files.data[].object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| (2).files.data[].vector_store_id | string | required; Resource ID.; min characters: 1 |
| (2).files.data[].status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| (2).files.data[].last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| (2).files.data[].last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| (2).files.data[].last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| (2).files.data[].usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| (2).files.data[].created_at | integer | required; Unix timestamp in seconds. |
| (2).files.data[].chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| (2).files.data[].chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| (2).files.data[].chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| (2).files.data[].chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| (2).files.data[].chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| (2).files.data[].chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| (2).files.data[].attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
| (2).files.first_id | string / null | required; ID of the first item on this page; null for an empty page. |
| (2).files.last_id | string / null | required; ID of the last item on this page; use as after to continue. Null for an empty page. |
| (2).files.has_more | boolean | required; Whether additional items remain after this page within the selected cursor range. |
POST /openai/v1/vector_stores/{vector_store_id}
Updates an active knowledge base using its returned id. Omitted fields stay unchanged; metadata replaces the whole map. Example body: {"name":"Refund policies"}.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| Field | Type | Description |
|---|---|---|
| name | string / null | optional; null clears the name to an empty string. Omitted fields stay unchanged. |
| metadata | object / null | optional; Replaces all metadata; null clears it to an empty object. |
| expires_after | object / null | optional; null removes automatic expiry. |
| expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"name\":\"Support policies\"}"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store" | required; Object discriminator; vector_store identifies a knowledge base. |
| name | string | required; Display name of the knowledge base; an empty string means no name was set.; max characters: 256 |
| status | "in_progress" / "completed" / "expired" | required; in_progress means at least one file is ingesting; completed means no file is ingesting, even if some failed; expired means the expiry policy has taken effect. |
| usage_bytes | integer | required; Sum of completed source file sizes in bytes.; min: 0 |
| file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
| last_active_at | integer / null | required; Most recent creation, file attachment or search time in Unix seconds; null when unavailable. |
| expires_after | object / null | required; Expiry policy measured from last activity; null disables automatic expiry. |
| expires_after (1).anchor | "last_active_at" | required; last_active_at measures expiry from the most recent activity timestamp. |
| expires_after (1).days | integer | required; Days since last activity; attaching files and searching refresh activity.; min: 1; max: 365 |
| expires_at | integer / null | required; Scheduled expiry time in Unix seconds; null when no expiry policy is set. |
| metadata | object | required; Up to 16 keys; keys up to 64 characters; string values up to 512 characters.; max keys: 16; Key length ≤ 64; Values: string |
DELETE /openai/v1/vector_stores/{vector_store_id}
Deletes the store. Subsequent retrieve and repeat DELETE return 404 not_found_error; lists exclude deleted stores. Native restore remains available for 7 days.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
curl -X DELETE "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store.deleted" | required; Object discriminator; vector_store.deleted identifies this deletion receipt. |
| deleted | true | required; Confirms deletion on the compatible surface; subsequent access returns not found. |
POST /openai/v1/vector_stores/{vector_store_id}/search
Search ingested files, grouping matched chunks by file with chunks sorted by score in content. max_num_results counts files; up to 50 candidate chunks are grouped. Unlike OpenAI vector stores, this compatible URL rejects ranking_options.hybrid_search with 400 INVALID_PARAMS and does not paginate; has_more reports truncated files but next_page remains null. Use /knowledge/v1 for hybrid weights and per-chunk results. Only ranker default-2024-11-15 requests reranking; auto, none and omission use the initial ranking.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| Field | Type | Description |
|---|---|---|
| query | string / string[] | required; Nonblank text. Multiple queries are joined with newlines for one search. |
| filters | object / object / object | optional; Type-strict file attribute filters. At most 20 nested levels below the root. |
| filters (1).type | "eq" / "ne" / "gt" / "gte" / "lt" / "lte" | required; eq means equal, ne not equal, gt greater, gte greater or equal, lt less, and lte less or equal. The attribute must exist and have the same value type. |
| filters (1).key | string | required; Literal file-attribute key to compare, including any punctuation in the key.; min characters: 1 |
| filters (1).value | string / number / boolean | required; Scalar value compared without type coercion. |
| filters (2).type | "in" / "nin" | required; in matches an attribute equal to an array member; nin matches an attribute unequal to every member. Missing attributes never match. |
| filters (2).key | string | required; Literal file-attribute key to compare, including any punctuation in the key.; min characters: 1 |
| filters (2).value | string / number[] | required; String or number values tested for membership without type coercion. |
| filters (3).type | "and" / "or" | required; and requires every child filter to match; or requires at least one child filter to match. |
| filters (3).filters | object / object / object[] | required; Nonempty child-filter list combined using the selected and/or operator.; min items: 1 |
| filters (3).filters[] | object / object / object | Repeat the same filter structure; nesting limit is 20. |
| max_num_results | integer | optional; Maximum unique files after grouping the retrieved chunks (up to 50 candidate chunks).; min: 1; max: 50; default: 10 |
| rewrite_query | boolean | optional; supported: When true, the store's query_rewrite model first rewrites each query into a concise search query; retrieval uses the rewrite and search_query returns it. Each rewrite is one small model call billed by model usage. If a rewrite fails, times out (5 s) or is empty, that query falls back to the original text and the search still succeeds. Omitted or false makes no model call. |
| next_page | string | optional; ignored: Unlike OpenAI vector stores, search has no next page; supplying this cursor has no effect. Narrow the query or filters to inspect other matches. |
| ranking_options | object | optional; Controls result ranking and the minimum score required for inclusion. |
| ranking_options.ranker | "none" / "auto" / "default-2024-11-15" | optional; Unlike OpenAI, auto does not select a reranker. Only default-2024-11-15 requests reranking; none, auto and omission use the initial ranking. Reranking effect has not been measured separately. |
| ranking_options.score_threshold | number | optional; Minimum score. Scores are not relevance probabilities; threshold effect has not been measured separately.; min: 0; max: 1; default: 0 |
| ranking_options.hybrid_search | object | optional; unsupported: Rejected with 400 INVALID_PARAMS on /openai/v1. Use /knowledge/v1 for weights.; Praxis extension |
| ranking_options.hybrid_search.embedding_weight | number | required; Relative weight of semantic retrieval; zero disables semantic retrieval.; min: 0; default: 0.7 |
| ranking_options.hybrid_search.text_weight | number | required; Relative weight of keyword retrieval; zero disables keyword retrieval.; min: 0; default: 0.3 |
| praxis | object | optional; ignored: Compatibility responses remove praxis, including explanations. |
| praxis.explain | boolean | optional; Requests explanations internally; the compatible response omits them. |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/search" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"query\":\"When will I receive my refund?\",\"max_num_results\":5}"HTTP 200
| Field | Type | Description |
|---|---|---|
| object | "vector_store.search_results.page" | required; Object discriminator; vector_store.search_results.page identifies a search result page. |
| search_query | string[] | required; The queries used for retrieval, one per input query; rewritten when rewrite_query is true, otherwise the input as sent. |
| data | object[] | required; One result per unique file; content contains its matched chunks. |
| data[].file_id | string | required; Resource ID.; min characters: 1 |
| data[].filename | string | required; Original source filename for the matched file. |
| data[].score | number | required; Highest matched chunk score for this file.; min: 0; max: 1 |
| data[].attributes | object / null | required; Current file attributes used for filtering; null when unset. |
| data[].content | object[] | required; Matched chunks in descending chunk-score order. |
| data[].content[].type | "text" | required; text identifies an extracted text chunk. |
| data[].content[].text | string | required; Extracted text of the matched chunk, which may overlap neighboring chunks. |
| has_more | boolean | required; True when filtered files exceed max_num_results; next_page remains null.; supported: |
| next_page | null | required; ignored: Always null; no next search page. |
POST /openai/v1/vector_stores/{vector_store_id}/files
Attach an uploaded File for asynchronous ingestion, then poll this attachment until status is completed, failed or cancelled before searching. Unlike OpenAI vector stores, the file limit is 100000000 bytes; chunk sizes use estimated tokens rather than a model tokenizer. Text, Markdown, CSV, JSON, HTML, PDF, DOCX, PPTX, XLSX and PNG/JPEG/GIF/WebP images can be extracted; audio and video uploads are not knowledge documents. Images may yield generated descriptions rather than verbatim OCR. auto chunking resolves to static 800/400; explicit sizes are 100–4096 with overlap at most half the size. Each store holds at most 10000 attached files. Reattaching the same file returns its existing record without applying new attributes or chunking; inspect last_error after failure.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| Field | Type | Description |
|---|---|---|
| file_id | string | required; Existing source File ID returned by file upload; the file must be visible to the caller.; min characters: 1 |
| attributes | object / null | optional; Search-filter attributes for a newly attached file; omission or null leaves attributes unset. Reattaching an existing file does not change them. |
| chunking_strategy | object / object | optional; auto resolves to static with 800 estimated tokens and 400 overlap tokens. Unlike OpenAI vector stores, token counts are estimates; each Han character counts as one, and other whitespace-delimited words count as their UTF-16 length divided by four, rounded up.; default: {"type":"auto"} |
| chunking_strategy (1).type | "auto" | required; auto uses the default static chunk size of 800 estimated tokens with 400 overlap tokens. |
| chunking_strategy (2).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| chunking_strategy (2).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| chunking_strategy (2).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| chunking_strategy (2).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"file_id\":\"${FILE_ID}\"}"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Same ID as the source File.; min characters: 1 |
| object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
| chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
GET /openai/v1/vector_stores/{vector_store_id}/files
Lists attached files and their ingestion status, newest attachment first by default. Use last_id as after to continue; ?filter=failed selects files that can be retried.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| after | query: string | Cursor ID from the previous page. min characters: 1 |
| before | query: string | Return items before this ID. min characters: 1 |
| limit | query: integer | Page size. min: 1; max: 100; default: 20 |
| order | query: "asc" / "desc" | Order by creation time; defaults to desc for stores/files and asc by index for segments. default: "desc" |
| filter | query: "in_progress" / "completed" / "failed" / "cancelled" | in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. Omit to include all statuses. |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| object | "list" | required; Object discriminator; list identifies a cursor-paginated collection. |
| data | object[] | required; Current page of attached files in the requested order. |
| data[].id | string | required; Same ID as the source File.; min characters: 1 |
| data[].object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| data[].vector_store_id | string | required; Resource ID.; min characters: 1 |
| data[].status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| data[].last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| data[].last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| data[].last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| data[].usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| data[].created_at | integer | required; Unix timestamp in seconds. |
| data[].chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| data[].chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| data[].chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| data[].chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| data[].chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| data[].chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| data[].attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
| first_id | string / null | required; ID of the first item on this page; null for an empty page. |
| last_id | string / null | required; ID of the last item on this page; use as after to continue. Null for an empty page. |
| has_more | boolean | required; Whether additional items remain after this page within the selected cursor range. |
GET /openai/v1/vector_stores/{vector_store_id}/files/{file_id}
Retrieves an attached file using the id returned by attachment or file listing. Poll this operation until status leaves in_progress to observe the ingestion outcome.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| file_id | path: string | Required; Source File ID of an attachment, returned by file attachment or listing. min characters: 1 |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files/${FILE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Same ID as the source File.; min characters: 1 |
| object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
| chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
POST /openai/v1/vector_stores/{vector_store_id}/files/{file_id}
Replaces search-filter attributes of an existing attachment without reingesting its content. Use an attached file id. Example body: {"attributes":{"category":"refund"}}; null clears the attributes.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| file_id | path: string | Required; Source File ID of an attachment, returned by file attachment or listing. min characters: 1 |
| Field | Type | Description |
|---|---|---|
| attributes | object / null | optional; Replaces all search-filter attributes; null clears them. |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files/${FILE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"attributes\":{\"category\":\"refund\"}}"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Same ID as the source File.; min characters: 1 |
| object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
| chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
DELETE /openai/v1/vector_stores/{vector_store_id}/files/{file_id}
Removes the file from search immediately; does not delete the original File.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| file_id | path: string | Required; Source File ID of an attachment, returned by file attachment or listing. min characters: 1 |
curl -X DELETE "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files/${FILE_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store.file.deleted" | required; Object discriminator; vector_store.file.deleted identifies this deletion receipt. |
| deleted | true | required; Confirms removal from this knowledge base; the source File is not deleted. |
GET /openai/v1/vector_stores/{vector_store_id}/files/{file_id}/content
Extracted text chunks may overlap. Image content can be a generated description rather than verbatim OCR.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| file_id | path: string | Required; Source File ID of an attachment, returned by file attachment or listing. min characters: 1 |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/files/${FILE_ID}/content" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| object | "vector_store.file_content.page" | required; Object discriminator; vector_store.file_content.page identifies extracted file content. |
| data | object[] | required; All currently stored text chunks in segment-index order; neighboring chunks may overlap. |
| data[].type | "text" | required; text identifies an extracted text chunk. |
| data[].text | string | required; Extracted text of this chunk; may overlap neighboring chunks. |
| has_more | false | required; Always false; all currently stored chunks are returned in this response. |
| next_page | null | required; Always null because extracted content is not paginated. |
POST /openai/v1/vector_stores/{vector_store_id}/file_batches
Attaches existing Files as a batch for asynchronous ingestion. Supply exactly one of file_ids or files; files allows per-file settings. Existing attachments are reused. Read the returned batch id to monitor status.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
Provide exactly one of file_ids or files. Already attached files are reused without changing their attributes or chunking.
| Field | Type | Description |
|---|---|---|
| (1).file_ids | string[] | required; Existing File IDs to attach with shared attributes and chunking settings. Supply file_ids or files, never both.; min items: 1; max items: 500 |
| (1).attributes | object / null | optional; Search-filter attributes applied to each newly attached file; omission or null leaves them unset. |
| (1).chunking_strategy | object / object | optional; auto resolves to static with 800 estimated tokens and 400 overlap tokens. Unlike OpenAI vector stores, token counts are estimates; each Han character counts as one, and other whitespace-delimited words count as their UTF-16 length divided by four, rounded up.; default: {"type":"auto"} |
| (1).chunking_strategy (1).type | "auto" | required; auto uses the default static chunk size of 800 estimated tokens with 400 overlap tokens. |
| (1).chunking_strategy (2).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| (1).chunking_strategy (2).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| (1).chunking_strategy (2).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| (1).chunking_strategy (2).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| (2).files | object[] | required; Files to attach with individual attributes and chunking settings; top-level attributes and chunking_strategy are ignored.; min items: 1; max items: 500 |
| (2).files[].file_id | string | required; Existing source File ID returned by file upload; the file must be visible to the caller.; min characters: 1 |
| (2).files[].attributes | object | optional; File attributes used by search filters. Up to 16 keys of 64 characters; string values up to 512 characters.; max keys: 16; Key length ≤ 64; Values: string / number / boolean |
| (2).files[].chunking_strategy | object / object | optional; auto resolves to static with 800 estimated tokens and 400 overlap tokens. Unlike OpenAI vector stores, token counts are estimates; each Han character counts as one, and other whitespace-delimited words count as their UTF-16 length divided by four, rounded up.; default: {"type":"auto"} |
| (2).files[].chunking_strategy (1).type | "auto" | required; auto uses the default static chunk size of 800 estimated tokens with 400 overlap tokens. |
| (2).files[].chunking_strategy (2).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| (2).files[].chunking_strategy (2).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| (2).files[].chunking_strategy (2).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| (2).files[].chunking_strategy (2).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| (2).attributes | JSON | optional; ignored: Ignored when files is supplied. |
| (2).chunking_strategy | JSON | optional; ignored: Ignored when files is supplied. |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/file_batches" \
-H "Authorization: Bearer $PRAXIS_API_KEY" \
-H "Content-Type: application/json" \
-d "{\"file_ids\":[\"${FILE_ID}\"]}"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store.files_batch" | required; Object discriminator; vector_store.files_batch identifies a batch of attached files. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; cancelled means the batch was cancelled; otherwise in_progress means a member is still ingesting, failed means ingestion ended with failed members, and completed means no pending or failed members remain. Cancelling a terminal batch leaves it unchanged. |
| file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
GET /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}
Retrieves a batch created in this knowledge base, including current status and file counts. Use the batch id returned by batch creation to monitor ingestion.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| batch_id | path: string | Required; File-batch ID returned by batch creation in this knowledge base. min characters: 1 |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/file_batches/${BATCH_ID}" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store.files_batch" | required; Object discriminator; vector_store.files_batch identifies a batch of attached files. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; cancelled means the batch was cancelled; otherwise in_progress means a member is still ingesting, failed means ingestion ended with failed members, and completed means no pending or failed members remain. Cancelling a terminal batch leaves it unchanged. |
| file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
POST /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel
Cancels only in-progress batches and pending files. Completed, failed and cancelled batches return unchanged (200, idempotent).
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| batch_id | path: string | Required; File-batch ID returned by batch creation in this knowledge base. min characters: 1 |
curl -X POST "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/file_batches/${BATCH_ID}/cancel" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| id | string | required; Resource ID.; min characters: 1 |
| object | "vector_store.files_batch" | required; Object discriminator; vector_store.files_batch identifies a batch of attached files. |
| vector_store_id | string | required; Resource ID.; min characters: 1 |
| status | "in_progress" / "completed" / "cancelled" / "failed" | required; cancelled means the batch was cancelled; otherwise in_progress means a member is still ingesting, failed means ingestion ended with failed members, and completed means no pending or failed members remain. Cancelling a terminal batch leaves it unchanged. |
| file_counts | object | required; Counts of files still attached to the store or batch, grouped by ingestion status. |
| file_counts.in_progress | integer | required; Number of files waiting for or undergoing ingestion.; min: 0 |
| file_counts.completed | integer | required; Number of files whose ingestion completed.; min: 0 |
| file_counts.failed | integer | required; Number of files whose ingestion failed.; min: 0 |
| file_counts.cancelled | integer | required; Number of files stopped by batch cancellation.; min: 0 |
| file_counts.total | integer | required; Total attached files across all ingestion statuses.; min: 0 |
| created_at | integer | required; Unix timestamp in seconds. |
GET /openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files
Lists files still attached from the identified batch, newest attachment first by default. Use the batch creation id and ?filter=failed to inspect failures; last_id is the next after cursor.
| Name | Location and type | Description |
|---|---|---|
| vector_store_id | path: string | Required; Knowledge-base ID returned by create or list; use the ID rather than its display name. min characters: 1 |
| batch_id | path: string | Required; File-batch ID returned by batch creation in this knowledge base. min characters: 1 |
| after | query: string | Cursor ID from the previous page. min characters: 1 |
| before | query: string | Return items before this ID. min characters: 1 |
| limit | query: integer | Page size. min: 1; max: 100; default: 20 |
| order | query: "asc" / "desc" | Order by creation time; defaults to desc for stores/files and asc by index for segments. default: "desc" |
| filter | query: "in_progress" / "completed" / "failed" / "cancelled" | in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. Omit to include all statuses. |
curl -X GET "https://api.deepraxis.ai/openai/v1/vector_stores/${VECTOR_STORE_ID}/file_batches/${BATCH_ID}/files" \
-H "Authorization: Bearer $PRAXIS_API_KEY"HTTP 200
| Field | Type | Description |
|---|---|---|
| object | "list" | required; Object discriminator; list identifies a cursor-paginated collection. |
| data | object[] | required; Current page of attached files in the requested order. |
| data[].id | string | required; Same ID as the source File.; min characters: 1 |
| data[].object | "vector_store.file" | required; Object discriminator; vector_store.file identifies a file attached to a knowledge base. |
| data[].vector_store_id | string | required; Resource ID.; min characters: 1 |
| data[].status | "in_progress" / "completed" / "cancelled" / "failed" | required; in_progress means ingestion is pending or running; completed means searchable; failed means ingestion failed; cancelled means ingestion was stopped by batch cancellation. |
| data[].last_error | object / null | required; Ingestion failure details; null before a failure and after a successful ingestion or retry. |
| data[].last_error (1).code | "server_error" / "unsupported_file" / "invalid_file" | required; unsupported_file means the file type is unsupported; invalid_file means encrypted, empty or over the parsed-token limit; server_error covers other ingestion failures and deadline expiry. |
| data[].last_error (1).message | string | required; Explanation of the ingestion failure associated with code. |
| data[].usage_bytes | integer | required; Original source file size in bytes after completion; zero while pending, failed or cancelled.; min: 0 |
| data[].created_at | integer | required; Unix timestamp in seconds. |
| data[].chunking_strategy | object / object | required; Stored chunking strategy for this attachment; auto input is returned as static settings. |
| data[].chunking_strategy (1).type | "static" | required; static selects explicit chunk-size and overlap settings. |
| data[].chunking_strategy (1).static | object | required; Chunk-size and overlap limits in estimated tokens. |
| data[].chunking_strategy (1).static.max_chunk_size_tokens | integer | required; Estimated tokens per chunk.; min: 100; max: 4096 |
| data[].chunking_strategy (1).static.chunk_overlap_tokens | integer | required; Must not exceed half of max_chunk_size_tokens.; min: 0; max: 2048 |
| data[].chunking_strategy (2).type | "other" | required; other identifies a stored strategy whose chunk-size settings are unavailable. |
| data[].attributes | object / null | required; File attributes used for search filtering; null means no attributes are set. |
| first_id | string / null | required; ID of the first item on this page; null for an empty page. |
| last_id | string / null | required; ID of the last item on this page; use as after to continue. Null for an empty page. |
| has_more | boolean | required; Whether additional items remain after this page within the selected cursor range. |