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robertmarsal merged 1 commit into from
Oct 2, 2026
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🤖 Update SDK to version v4.69.0 #221

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2 changes: 1 addition & 1 deletion .sdk-version
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@@ -1 +1 @@
v4.67.1
v4.69.0
4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -237,6 +237,8 @@ Class | Method | HTTP request | Description
*FunctionsAIDecompilationApi* | [**v3_get_ai_decompilation_rating**](docs/FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_rating) | **GET** /v3/functions/{function_id}/ai-decompilation/rating | Get AI decompilation rating
*FunctionsAIDecompilationApi* | [**v3_get_ai_decompilation_tokens**](docs/FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_tokens) | **GET** /v3/functions/{function_id}/ai-decompilation/tokens | Get AI decompilation tokens and user overrides
*FunctionsAIDecompilationApi* | [**v3_get_ai_decompilation_type_suggestions**](docs/FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_type_suggestions) | **GET** /v3/functions/{function_id}/ai-decompilation/type-suggestions | Get AI decompilation type suggestions
*FunctionsAIDecompilationApi* | [**v3_get_ai_decompilation_type_suggestions_status**](docs/FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_type_suggestions_status) | **GET** /v3/functions/{function_id}/ai-decompilation/type-suggestions/status | Get type suggestion workflow status
*FunctionsAIDecompilationApi* | [**v3_regenerate_ai_decompilation_type_suggestions**](docs/FunctionsAIDecompilationApi.md#v3_regenerate_ai_decompilation_type_suggestions) | **POST** /v3/functions/{function_id}/ai-decompilation/type-suggestions | Regenerate AI decompilation type suggestions
*FunctionsAIDecompilationApi* | [**v3_upsert_ai_decompilation_overrides**](docs/FunctionsAIDecompilationApi.md#v3_upsert_ai_decompilation_overrides) | **PATCH** /v3/functions/{function_id}/ai-decompilation/overrides | Upsert variable/function name overrides
*FunctionsAIDecompilationApi* | [**v3_upsert_ai_decompilation_rating**](docs/FunctionsAIDecompilationApi.md#v3_upsert_ai_decompilation_rating) | **PATCH** /v3/functions/{function_id}/ai-decompilation/rating | Upsert AI decompilation rating
*FunctionsCoreApi* | [**add_function_callee**](docs/FunctionsCoreApi.md#add_function_callee) | **POST** /v3/functions/{function_id}/callees | Add a callee to a function
Expand Down Expand Up @@ -606,6 +608,7 @@ Class | Method | HTTP request | Description
- [EventTOOLCALLRESULT](docs/EventTOOLCALLRESULT.md)
- [EventTOOLCALLSTART](docs/EventTOOLCALLSTART.md)
- [EventTOOLCONFIRMATIONREQUIRED](docs/EventTOOLCONFIRMATIONREQUIRED.md)
- [EventTypesApplied](docs/EventTypesApplied.md)
- [EventTypesSuggested](docs/EventTypesSuggested.md)
- [EventWarning](docs/EventWarning.md)
- [EvidenceEffect](docs/EvidenceEffect.md)
Expand Down Expand Up @@ -979,6 +982,7 @@ Class | Method | HTTP request | Description
- [TypeSuggestionsData](docs/TypeSuggestionsData.md)
- [TypedefDataType](docs/TypedefDataType.md)
- [TypedefDefinition](docs/TypedefDefinition.md)
- [TypesAppliedEvent](docs/TypesAppliedEvent.md)
- [TypesSuggestedEvent](docs/TypesSuggestedEvent.md)
- [UnionDataType](docs/UnionDataType.md)
- [UnionDefinition](docs/UnionDefinition.md)
Expand Down
2 changes: 1 addition & 1 deletion docs/AcceptTypeSuggestionsOutputBody.md
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Expand Up @@ -5,7 +5,7 @@

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**accepted** | [**List[AcceptedType]**](AcceptedType.md) | One entry per requested suggestion, in request order. |
**accepted** | [**List[AcceptedType]**](AcceptedType.md) | One entry per requested suggestion that had a shape to store, in request order. |
**data_types** | [**List[DataTypeEntry]**](DataTypeEntry.md) | The type each requested suggestion resolved to, plus every type minted to satisfy one, ordered by data_type_id. |

## Example
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32 changes: 32 additions & 0 deletions docs/EventTypesApplied.md
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# EventTypesApplied


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**data** | [**TypesAppliedEvent**](TypesAppliedEvent.md) | |
**event** | **str** | The event name. |
**id** | **int** | The event ID. | [optional]
**retry** | **int** | The retry time in milliseconds. | [optional]

## Example

```python
from revengai.models.event_types_applied import EventTypesApplied

# TODO update the JSON string below
json = "{}"
# create an instance of EventTypesApplied from a JSON string
event_types_applied_instance = EventTypesApplied.from_json(json)
# print the JSON string representation of the object
print(EventTypesApplied.to_json())

# convert the object into a dict
event_types_applied_dict = event_types_applied_instance.to_dict()
# create an instance of EventTypesApplied from a dict
event_types_applied_from_dict = EventTypesApplied.from_dict(event_types_applied_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)


201 changes: 198 additions & 3 deletions docs/FunctionsAIDecompilationApi.md
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Expand Up @@ -23,12 +23,14 @@ Method | HTTP request | Description
[**v3_get_ai_decompilation_rating**](FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_rating) | **GET** /v3/functions/{function_id}/ai-decompilation/rating | Get AI decompilation rating
[**v3_get_ai_decompilation_tokens**](FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_tokens) | **GET** /v3/functions/{function_id}/ai-decompilation/tokens | Get AI decompilation tokens and user overrides
[**v3_get_ai_decompilation_type_suggestions**](FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_type_suggestions) | **GET** /v3/functions/{function_id}/ai-decompilation/type-suggestions | Get AI decompilation type suggestions
[**v3_get_ai_decompilation_type_suggestions_status**](FunctionsAIDecompilationApi.md#v3_get_ai_decompilation_type_suggestions_status) | **GET** /v3/functions/{function_id}/ai-decompilation/type-suggestions/status | Get type suggestion workflow status
[**v3_regenerate_ai_decompilation_type_suggestions**](FunctionsAIDecompilationApi.md#v3_regenerate_ai_decompilation_type_suggestions) | **POST** /v3/functions/{function_id}/ai-decompilation/type-suggestions | Regenerate AI decompilation type suggestions
[**v3_upsert_ai_decompilation_overrides**](FunctionsAIDecompilationApi.md#v3_upsert_ai_decompilation_overrides) | **PATCH** /v3/functions/{function_id}/ai-decompilation/overrides | Upsert variable/function name overrides
[**v3_upsert_ai_decompilation_rating**](FunctionsAIDecompilationApi.md#v3_upsert_ai_decompilation_rating) | **PATCH** /v3/functions/{function_id}/ai-decompilation/rating | Upsert AI decompilation rating


# **create_ai_decompilation**
> CreateAIDecompOutputBody create_ai_decompilation(function_id, temperature=temperature, type_suggestions=type_suggestions)
> CreateAIDecompOutputBody create_ai_decompilation(function_id, temperature=temperature, type_suggestions=type_suggestions, apply_types=apply_types)

Start AI decompilation

Expand Down Expand Up @@ -80,10 +82,11 @@ with revengai.ApiClient(configuration) as api_client:
function_id = 56 # int | Function ID
temperature = -1 # float | LLM temperature (0.0-1.0). Overrides the server default when set. Omit or set to -1 to use the server default. (optional) (default to -1)
type_suggestions = True # bool | Ask the language model to name the suggested types and their members. Set to false to skip the model call; the statically derived layouts are still computed and stored. Cannot re-enable the pass when the server has it off. (optional) (default to True)
apply_types = True # bool | Store the suggested types as data types of this function's analysis, with a source_type of AI_DECOMP. Set to false to leave them as suggestions only. Cannot re-enable the pass when the server has it off. (optional) (default to True)

try:
# Start AI decompilation
api_response = api_instance.create_ai_decompilation(function_id, temperature=temperature, type_suggestions=type_suggestions)
api_response = api_instance.create_ai_decompilation(function_id, temperature=temperature, type_suggestions=type_suggestions, apply_types=apply_types)
print("The response of FunctionsAIDecompilationApi->create_ai_decompilation:\n")
pprint(api_response)
except Exception as e:
Expand All @@ -100,6 +103,7 @@ Name | Type | Description | Notes
**function_id** | **int**| Function ID |
**temperature** | **float**| LLM temperature (0.0-1.0). Overrides the server default when set. Omit or set to -1 to use the server default. | [optional] [default to -1]
**type_suggestions** | **bool**| Ask the language model to name the suggested types and their members. Set to false to skip the model call; the statically derived layouts are still computed and stored. Cannot re-enable the pass when the server has it off. | [optional] [default to True]
**apply_types** | **bool**| Store the suggested types as data types of this function's analysis, with a source_type of AI_DECOMP. Set to false to leave them as suggestions only. Cannot re-enable the pass when the server has it off. | [optional] [default to True]

### Return type

Expand Down Expand Up @@ -1340,7 +1344,7 @@ Accept AI decompilation type suggestions

Stores the named type suggestions as data types of this function's analysis, with a `source_type` of `AI_DECOMP` and this function as their `source_function_id`.

Each suggestion is stored as the type suggestions endpoint renders it: a `STRUCT` where members were placed, a `TYPEDEF` where the suggestion is a name for a scalar, and an `UNKNOWN` type where nothing gave it a shape. A member with no offset or width is left out and counted in `skipped_members`. A type expression a member names is matched against the analysis by name alone and created where nothing matches: `char *` creates a `char` `BASE` type and a `POINTER` type pointing at it, reusing either where the analysis already holds it. A member naming another suggestion accepted by the same request resolves to it. Only a trailing `*` is taken apart, so a name like `int &` stands for one type.
Each suggestion is stored as the type suggestions endpoint renders it: a `STRUCT` where members were placed and a `TYPEDEF` where the suggestion is a name for a scalar. A suggestion nothing gave a shape to is left out, so `accepted` can be shorter than the keys requested. A member with no offset or width is left out and counted in `skipped_members`. A type expression a member names is matched against the analysis by name alone and created where nothing matches: `char *` creates a `char` `BASE` type and a `POINTER` type pointing at it, reusing either where the analysis already holds it. A member naming another suggestion accepted by the same request resolves to it. Only a trailing `*` is taken apart, so a name like `int &` stands for one type.

No size is stored: the widths a suggestion carries are lower bounds rather than the type's own. A suggestion the analysis already holds a type of that name and kind for resolves to it, so repeating a request stores nothing further.

Expand Down Expand Up @@ -1815,6 +1819,197 @@ Name | Type | Description | Notes

[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

# **v3_get_ai_decompilation_type_suggestions_status**
> WorkflowProgress v3_get_ai_decompilation_type_suggestions_status(function_id)

Get type suggestion workflow status

Returns fine-grained progress of the type suggestion workflow. Reports PENDING while a decompilation is running, because its own type-naming pass produces the same suggestions.

**Error codes:**
- `403` [`ACCESS_DENIED`](/errors/ACCESS_DENIED) — Access Denied
- `404` [`NOT_FOUND`](/errors/NOT_FOUND) — Not Found

### Example

* Api Key Authentication (APIKey):
* Bearer Authentication (bearerAuth):

```python
import revengai
from revengai.models.workflow_progress import WorkflowProgress
from revengai.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to https://api.reveng.ai
# See configuration.py for a list of all supported configuration parameters.
configuration = revengai.Configuration(
host = "https://api.reveng.ai"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: APIKey
configuration.api_key['APIKey'] = os.environ["API_KEY"]

# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKey'] = 'Bearer'

# Configure Bearer authorization: bearerAuth
configuration = revengai.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)

# Enter a context with an instance of the API client
with revengai.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = revengai.FunctionsAIDecompilationApi(api_client)
function_id = 56 # int | Function ID

try:
# Get type suggestion workflow status
api_response = api_instance.v3_get_ai_decompilation_type_suggestions_status(function_id)
print("The response of FunctionsAIDecompilationApi->v3_get_ai_decompilation_type_suggestions_status:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling FunctionsAIDecompilationApi->v3_get_ai_decompilation_type_suggestions_status: %s\n" % e)
```



### Parameters


Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**function_id** | **int**| Function ID |

### Return type

[**WorkflowProgress**](WorkflowProgress.md)

### Authorization

[APIKey](../README.md#APIKey), [bearerAuth](../README.md#bearerAuth)

### HTTP request headers

- **Content-Type**: Not defined
- **Accept**: application/json

### HTTP response details

| Status code | Description | Response headers |
|-------------|-------------|------------------|
**200** | OK | - |
**403** | Forbidden | - |
**404** | Not Found | - |
**422** | Unprocessable Entity | - |
**500** | Internal Server Error | - |

[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

# **v3_regenerate_ai_decompilation_type_suggestions**
> RegenerateOutputBody v3_regenerate_ai_decompilation_type_suggestions(function_id, apply_types=apply_types)

Regenerate AI decompilation type suggestions

Starts a new type suggestion workflow for the function, discarding the suggestions already stored. Requires a successful decompilation; it re-runs only the type-naming pass, so it costs no decompilation credit. The regenerated types are stored as data types of the analysis unless `apply_types=false`; types a previous run stored are not removed. Rejected while a decompilation is running: it runs the same pass itself once its output settles. Poll the type-suggestions status endpoint, which reports PENDING until then, and read the result from the type-suggestions endpoint.

**Error codes:**
- `403` [`ACCESS_DENIED`](/errors/ACCESS_DENIED) — Access Denied
- `404` [`NOT_FOUND`](/errors/NOT_FOUND) — Not Found
- `409` [`CONFLICT`](/errors/CONFLICT) — Conflict
- `500` [`INTERNAL_ERROR`](/errors/INTERNAL_ERROR) — Internal Server Error

### Example

* Api Key Authentication (APIKey):
* Bearer Authentication (bearerAuth):

```python
import revengai
from revengai.models.regenerate_output_body import RegenerateOutputBody
from revengai.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to https://api.reveng.ai
# See configuration.py for a list of all supported configuration parameters.
configuration = revengai.Configuration(
host = "https://api.reveng.ai"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: APIKey
configuration.api_key['APIKey'] = os.environ["API_KEY"]

# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['APIKey'] = 'Bearer'

# Configure Bearer authorization: bearerAuth
configuration = revengai.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)

# Enter a context with an instance of the API client
with revengai.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = revengai.FunctionsAIDecompilationApi(api_client)
function_id = 56 # int | Function ID
apply_types = True # bool | Store the regenerated types as data types of this function's analysis, with a source_type of AI_DECOMP. Set to false to leave them as suggestions only. Cannot re-enable the pass when the server has it off. (optional) (default to True)

try:
# Regenerate AI decompilation type suggestions
api_response = api_instance.v3_regenerate_ai_decompilation_type_suggestions(function_id, apply_types=apply_types)
print("The response of FunctionsAIDecompilationApi->v3_regenerate_ai_decompilation_type_suggestions:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling FunctionsAIDecompilationApi->v3_regenerate_ai_decompilation_type_suggestions: %s\n" % e)
```



### Parameters


Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**function_id** | **int**| Function ID |
**apply_types** | **bool**| Store the regenerated types as data types of this function's analysis, with a source_type of AI_DECOMP. Set to false to leave them as suggestions only. Cannot re-enable the pass when the server has it off. | [optional] [default to True]

### Return type

[**RegenerateOutputBody**](RegenerateOutputBody.md)

### Authorization

[APIKey](../README.md#APIKey), [bearerAuth](../README.md#bearerAuth)

### HTTP request headers

- **Content-Type**: Not defined
- **Accept**: application/json

### HTTP response details

| Status code | Description | Response headers |
|-------------|-------------|------------------|
**202** | Accepted | - |
**403** | Forbidden | - |
**404** | Not Found | - |
**409** | Conflict | - |
**422** | Unprocessable Entity | - |
**500** | Internal Server Error | - |

[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

# **v3_upsert_ai_decompilation_overrides**
> UpsertOverridesData v3_upsert_ai_decompilation_overrides(function_id, upsert_overrides_input_body)

Expand Down
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