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fix: examples, enums and regenerate (#2)

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This commit is contained in:
David Alberto Adler
2025-09-07 21:50:22 +01:00
parent 0fc7236673
commit 2988b5e385
61 changed files with 2568 additions and 1093 deletions
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.gitignore
+1
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@@ -9,3 +9,4 @@ pyrightconfig.json
**/.speakeasy/temp/
**/.speakeasy/logs/
.speakeasy/reports
.env
.speakeasy/OAS_files/overlay.yaml
-90
View File
@@ -1,90 +0,0 @@
overlay: 1.0.0
x-speakeasy-jsonpath: rfc9535
info:
title: Overlay chat-completions-openapi.yaml => openapi.yaml
version: 0.0.0
actions:
- target: $["components"]["schemas"]["ChatCompletion"]["properties"]["system_fingerprint"]
update:
type: string
nullable: true
description: System fingerprint
- target: $["components"]["schemas"]["ChatCompletionChunk"]["properties"]["system_fingerprint"]
update:
type: string
nullable: true
- target: $["components"]["schemas"]
update:
ChatStreamCompletionCreateParams:
allOf:
- $ref: "#/components/schemas/ChatCompletionCreateParams"
- type: object
properties:
stream:
type: boolean
enum:
- true
default: true
description: Enable streaming response
- target: $["paths"]["/chat/completions"]["post"]["responses"]["200"]["content"]["application/json"]["schema"]
update:
$ref: '#/components/schemas/ChatCompletion'
- target: $["paths"]["/chat/completions"]["post"]["responses"]["200"]["content"]["application/json"]["schema"]
update:
description: Non-streaming response when stream=false
- target: $["paths"]["/chat/completions"]["post"]["responses"]["200"]["content"]["application/json"]["schema"]["oneOf"]
remove: true
- target: $["paths"]["/chat/completions"]["post"]["responses"]["200"]["content"]["text/event-stream"]
remove: true
- target: $["paths"]
update:
/chat/completions#stream:
post:
operationId: streamChatCompletion
summary: Create a chat completion
description: Creates a model response for the given chat conversation. Supports both streaming and non-streaming modes.
tags:
- Chat
requestBody:
description: Chat completion request parameters
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ChatStreamCompletionCreateParams'
responses:
'200':
description: Successful chat completion response
content:
text/event-stream:
x-speakeasy-sse-sentinel: '[DONE]'
schema:
type: object
required: [data]
properties:
data:
$ref: '#/components/schemas/ChatCompletionChunk'
'400':
description: Bad request - invalid parameters
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionError'
'401':
description: Unauthorized - invalid API key
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionError'
'429':
description: Too many requests - rate limit exceeded
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionError'
'500':
description: Internal server error
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionError'
.speakeasy/OAS_files/speakeasy-modifications-overlay.yaml
-28
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@@ -1,28 +0,0 @@
overlay: 1.0.0
x-speakeasy-jsonpath: rfc9535
info:
title: Speakeasy Modifications
version: 0.0.2
x-speakeasy-metadata:
after: ""
before: ""
type: speakeasy-modifications
actions:
- target: $["paths"]["/chat/completions"]["post"]
update:
x-speakeasy-name-override: complete
x-speakeasy-metadata:
after: sdk.chat.complete()
before: sdk.Chat.createChatCompletion()
created_at: 1755805257797
reviewed_at: 1755805262583
type: method-name
- target: $["paths"]["/chat/completions#stream"]["post"]
update:
x-speakeasy-name-override: completeStream
x-speakeasy-metadata:
after: sdk.chat.completeStream()
before: sdk.Chat.streamChatCompletion()
created_at: 1755805257798
reviewed_at: 1755805262583
type: method-name
.speakeasy/gen.lock
+12 -11
View File
@@ -1,19 +1,20 @@
lockVersion: 2.0.0
id: 232c6d4f-b0fd-4172-8f1b-e2421566e9b4
management:
docChecksum: 003bbbc167e4db8bd3f147793a6648e1
docChecksum: 98b4f227e767bb91333b3b3469d93fa5
docVersion: 1.0.0
speakeasyVersion: 1.606.2
generationVersion: 2.687.1
releaseVersion: 0.1.3
configChecksum: d572a56cfb69d7061ad0319f157ff5d8
speakeasyVersion: 1.611.1
generationVersion: 2.694.1
releaseVersion: 0.5.2
configChecksum: 4619605fbeb6f4488feb5336aa62bab6
repoURL: https://github.com/speakeasy-sdks/openrouter-python-sdk.git
installationURL: https://github.com/speakeasy-sdks/openrouter-python-sdk.git
features:
python:
additionalDependencies: 1.0.0
constsAndDefaults: 1.0.5
core: 5.19.9
core: 5.20.3
customCodeRegions: 0.1.1
defaultEnabledRetries: 0.2.0
devContainers: 3.0.0
enumUnions: 0.1.0
@@ -29,7 +30,7 @@ features:
responseFormat: 1.0.1
retries: 3.0.2
sdkHooks: 1.1.0
serverEvents: 1.0.7
serverEvents: 1.0.8
serverEventsSentinels: 0.1.0
unions: 3.0.4
generatedFiles:
@@ -308,16 +309,16 @@ examples:
"200":
application/json: {"id": "<id>", "choices": [], "created": 6977.95, "model": "El Camino", "object": "chat.completion"}
"400":
application/json: {"error": {"code": "<value>", "message": "<value>", "param": "<value>", "type": "<value>"}}
application/json: {"error": {"code": null, "message": "<value>"}}
"500":
application/json: {"error": {"code": "<value>", "message": "<value>", "param": "<value>", "type": "<value>"}}
application/json: {"error": {"code": null, "message": "<value>"}}
streamChatCompletion:
speakeasy-default-stream-chat-completion:
requestBody:
application/json: {"messages": [{"role": "user", "content": "Hello, how are you?"}], "stream": true, "temperature": 1, "top_p": 1}
responses:
"400":
application/json: {"error": {"code": "<value>", "message": "<value>", "param": "<value>", "type": "<value>"}}
application/json: {"error": {"code": null, "message": "<value>"}}
"500":
application/json: {"error": {"code": "<value>", "message": "<value>", "param": "<value>", "type": "<value>"}}
application/json: {"error": {"code": null, "message": "<value>"}}
examplesVersion: 1.0.2
.speakeasy/gen.yaml
+6 -3
View File
@@ -25,18 +25,21 @@ generation:
generateNewTests: true
skipResponseBodyAssertions: false
python:
version: 0.1.3
version: 0.5.2
additionalDependencies:
dev: {}
main: {}
allowedRedefinedBuiltins:
- id
- object
authors:
- Speakeasy
baseErrorName: OpenRouterError
clientServerStatusCodesAsErrors: true
defaultErrorName: OpenRouterDefaultError
description: Python Client SDK Generated by Speakeasy.
enableCustomCodeRegions: false
enumFormat: enum
enableCustomCodeRegions: true
enumFormat: union
envVarPrefix: OPENROUTER
fixFlags:
responseRequiredSep2024: true
.speakeasy/in.openapi.yaml
+1612
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File diff suppressed because it is too large Load Diff
.speakeasy/OAS_files/chat-completions-openapi.yaml → .speakeasy/original.openapi.yaml
+1 -1
View File
@@ -1545,4 +1545,4 @@ paths:
content:
application/json:
schema:
$ref: '#/components/schemas/ChatCompletionError'
$ref: '#/components/schemas/ChatCompletionError'
.speakeasy/out.openapi.yaml
+30 -17
View File
@@ -17,7 +17,7 @@ servers:
default: openrouter.ai
description: Production server
security:
- BearerAuth: []
- ApiKey: []
tags:
- name: Chat
description: Chat completion operations
@@ -26,11 +26,17 @@ externalDocs:
url: https://openrouter.ai/docs
components:
securitySchemes:
BearerAuth:
ApiKey:
type: http
scheme: bearer
description: API key as bearer token in Authorization header
schemas:
ChatCompletionChunkWrapper:
type: object
required: [data]
properties:
data:
$ref: '#/components/schemas/ChatCompletionChunk'
ChatCompletionMessageToolCall:
type: object
properties:
@@ -450,7 +456,7 @@ components:
type: object
properties:
code:
type: string
type: number
nullable: true
message:
type: string
@@ -462,8 +468,6 @@ components:
required:
- code
- message
- param
- type
description: Error object structure
required:
- error
@@ -1057,7 +1061,8 @@ components:
type: string
description: Unique user identifier
models:
x-speakeasy-name-override: models_llm
# Needed to avoid conflict with the `models` directory
x-speakeasy-name-override: fallback_models
type: array
nullable: true
items:
@@ -1082,15 +1087,17 @@ components:
description: >
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.
- 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.
require_parameters:
type: boolean
nullable: true
description: >-
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.
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.
data_collection:
type: string
nullable: true
@@ -1098,12 +1105,12 @@ components:
- deny
- allow
description: >
Data collection setting. If no available model provider meets the requirement, your request will return an error.
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.
order:
type: array
nullable: true
@@ -1191,7 +1198,9 @@ components:
- Z.AI
- type: string
description: >-
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.
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.
only:
type: array
nullable: true
@@ -1279,7 +1288,8 @@ components:
- Z.AI
- type: string
description: >-
List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request.
List of provider slugs to allow. If provided, this list is merged with your account-wide allowed
provider settings for this request.
ignore:
type: array
nullable: true
@@ -1367,7 +1377,8 @@ components:
- Z.AI
- type: string
description: >-
List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request.
List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored
provider settings for this request.
quantizations:
type: array
nullable: true
@@ -1392,7 +1403,8 @@ components:
- throughput
- latency
description: >-
The sorting strategy to use for this request, if "order" is not specified. When set, no load balancing is performed.
The sorting strategy to use for this request, if "order" is not specified. When set, no load balancing
is performed.
max_price:
type: object
properties:
@@ -1423,7 +1435,8 @@ components:
- {}
additionalProperties: false
description: >-
The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion.
The object specifying the maximum price you want to pay for this request. USD price per million tokens,
for prompt and completion.
additionalProperties: false
description: When multiple model providers are available, optionally indicate your routing preference.
plugins:
@@ -1488,7 +1501,7 @@ components:
description: Chat completion request parameters
ChatStreamCompletionCreateParams:
allOf:
- $ref: "#/components/schemas/ChatCompletionCreateParams"
- $ref: '#/components/schemas/ChatCompletionCreateParams'
- type: object
properties:
stream:
.speakeasy/workflow.lock
+2 -7
View File
@@ -1,4 +1,4 @@
speakeasyVersion: 1.606.2
speakeasyVersion: 1.611.1
sources:
OpenRouter Chat Completions API:
sourceNamespace: open-router-chat-completions-api
@@ -14,18 +14,13 @@ targets:
sourceNamespace: open-router-chat-completions-api
sourceRevisionDigest: sha256:30b19a8759608792fb4d27f6bf28d5982d7e2a8cf5b3faf34ba3507a62f9f106
sourceBlobDigest: sha256:454f1b880a0882a70f78eacccb2c33e3d9d19134a0738b0e21487984a7bf2e63
codeSamplesNamespace: open-router-chat-completions-api-python-code-samples
codeSamplesRevisionDigest: sha256:9ce1951254983ff6edc533d67fea93254d9e0d124057ce826721a1449a9ba36c
workflow:
workflowVersion: 1.0.0
speakeasyVersion: latest
sources:
OpenRouter Chat Completions API:
inputs:
- location: .speakeasy/OAS_files/chat-completions-openapi.yaml
overlays:
- location: .speakeasy/OAS_files/overlay.yaml
- location: .speakeasy/OAS_files/speakeasy-modifications-overlay.yaml
- location: .speakeasy/in.openapi.yaml
output: .speakeasy/out.openapi.yaml
registry:
location: registry.speakeasyapi.dev/sheldon-vaughn-test/sandbox/open-router-chat-completions-api
.speakeasy/workflow.yaml
+1 -4
View File
@@ -3,10 +3,7 @@ speakeasyVersion: latest
sources:
OpenRouter Chat Completions API:
inputs:
- location: .speakeasy/OAS_files/chat-completions-openapi.yaml
overlays:
- location: .speakeasy/OAS_files/overlay.yaml
- location: .speakeasy/OAS_files/speakeasy-modifications-overlay.yaml
- location: .speakeasy/in.openapi.yaml
output: .speakeasy/out.openapi.yaml
registry:
location: registry.speakeasyapi.dev/sheldon-vaughn-test/sandbox/open-router-chat-completions-api
README-PYPI.md
+33 -33
View File
@@ -125,17 +125,17 @@ Generally, the SDK will work well with most IDEs out of the box. However, when u
```python
# Synchronous Example
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -150,18 +150,18 @@ The same SDK client can also be used to make asynchronous requests by importing
```python
# Asynchronous Example
import asyncio
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
async def main():
async with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = await open_router.chat.complete_async(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -180,23 +180,23 @@ asyncio.run(main())
This SDK supports the following security scheme globally:
| Name | Type | Scheme | Environment Variable |
| ------------- | ---- | ----------- | ------------------------ |
| `bearer_auth` | http | HTTP Bearer | `OPENROUTER_BEARER_AUTH` |
| Name | Type | Scheme | Environment Variable |
| --------- | ---- | ----------- | -------------------- |
| `api_key` | http | HTTP Bearer | `OPENROUTER_API_KEY` |
To authenticate with the API the `bearer_auth` parameter must be set when initializing the SDK client instance. For example:
To authenticate with the API the `api_key` parameter must be set when initializing the SDK client instance. For example:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -235,17 +235,17 @@ The stream is also a [Context Manager][context-manager] and can be used with the
underlying connection when the context is exited.
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete_stream(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=True, temperature=1, top_p=1)
@@ -269,18 +269,18 @@ Some of the endpoints in this SDK support retries. If you use the SDK without an
To change the default retry strategy for a single API call, simply provide a `RetryConfig` object to the call:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
from openrouter.utils import BackoffStrategy, RetryConfig
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1,
@@ -293,19 +293,19 @@ with OpenRouter(
If you'd like to override the default retry strategy for all operations that support retries, you can use the `retry_config` optional parameter when initializing the SDK:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
from openrouter.utils import BackoffStrategy, RetryConfig
import os
with OpenRouter(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -332,19 +332,19 @@ with OpenRouter(
### Example
```python
from openrouter import OpenRouter, errors, models
from openrouter import OpenRouter, errors
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = None
try:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -401,18 +401,18 @@ The default server `https://{provider_url}/api/v1` contains variables and is set
#### Example
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
provider_url="https://ruddy-guacamole.info/"
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -426,18 +426,18 @@ with OpenRouter(
The default server can be overridden globally by passing a URL to the `server_url: str` optional parameter when initializing the SDK client instance. For example:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
server_url="https://openrouter.ai/api/v1",
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -542,7 +542,7 @@ import os
def main():
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
# Rest of application here...
@@ -551,7 +551,7 @@ def main():
async def amain():
async with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
# Rest of application here...
```
README.md
+33 -33
View File
@@ -125,17 +125,17 @@ Generally, the SDK will work well with most IDEs out of the box. However, when u
```python
# Synchronous Example
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -150,18 +150,18 @@ The same SDK client can also be used to make asynchronous requests by importing
```python
# Asynchronous Example
import asyncio
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
async def main():
async with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = await open_router.chat.complete_async(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -180,23 +180,23 @@ asyncio.run(main())
This SDK supports the following security scheme globally:
| Name | Type | Scheme | Environment Variable |
| ------------- | ---- | ----------- | ------------------------ |
| `bearer_auth` | http | HTTP Bearer | `OPENROUTER_BEARER_AUTH` |
| Name | Type | Scheme | Environment Variable |
| --------- | ---- | ----------- | -------------------- |
| `api_key` | http | HTTP Bearer | `OPENROUTER_API_KEY` |
To authenticate with the API the `bearer_auth` parameter must be set when initializing the SDK client instance. For example:
To authenticate with the API the `api_key` parameter must be set when initializing the SDK client instance. For example:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -235,17 +235,17 @@ The stream is also a [Context Manager][context-manager] and can be used with the
underlying connection when the context is exited.
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete_stream(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=True, temperature=1, top_p=1)
@@ -269,18 +269,18 @@ Some of the endpoints in this SDK support retries. If you use the SDK without an
To change the default retry strategy for a single API call, simply provide a `RetryConfig` object to the call:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
from openrouter.utils import BackoffStrategy, RetryConfig
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1,
@@ -293,19 +293,19 @@ with OpenRouter(
If you'd like to override the default retry strategy for all operations that support retries, you can use the `retry_config` optional parameter when initializing the SDK:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
from openrouter.utils import BackoffStrategy, RetryConfig
import os
with OpenRouter(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -332,19 +332,19 @@ with OpenRouter(
### Example
```python
from openrouter import OpenRouter, errors, models
from openrouter import OpenRouter, errors
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = None
try:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -401,18 +401,18 @@ The default server `https://{provider_url}/api/v1` contains variables and is set
#### Example
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
provider_url="https://ruddy-guacamole.info/"
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -426,18 +426,18 @@ with OpenRouter(
The default server can be overridden globally by passing a URL to the `server_url: str` optional parameter when initializing the SDK client instance. For example:
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
server_url="https://openrouter.ai/api/v1",
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -542,7 +542,7 @@ import os
def main():
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
# Rest of application here...
@@ -551,7 +551,7 @@ def main():
async def amain():
async with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
# Rest of application here...
```
USAGE.md
+6 -6
View File
@@ -1,17 +1,17 @@
<!-- Start SDK Example Usage [usage] -->
```python
# Synchronous Example
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -26,18 +26,18 @@ The same SDK client can also be used to make asynchronous requests by importing
```python
# Asynchronous Example
import asyncio
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
async def main():
async with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = await open_router.chat.complete_async(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
docs/models/chatcompletioncreateparams.md
+1 -1
View File
@@ -28,7 +28,7 @@ Chat completion request parameters
| `tools` | List[[models.ChatCompletionTool](../models/chatcompletiontool.md)] | :heavy_minus_sign: | Available tools for function calling | |
| `top_p` | *OptionalNullable[float]* | :heavy_minus_sign: | Nucleus sampling parameter (0-1) | |
| `user` | *Optional[str]* | :heavy_minus_sign: | Unique user identifier | |
| `models_llm` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `fallback_models` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `reasoning_effort` | [OptionalNullable[models.ChatCompletionCreateParamsReasoningEffort]](../models/chatcompletioncreateparamsreasoningeffort.md) | :heavy_minus_sign: | Reasoning effort | |
| `provider` | [OptionalNullable[models.ChatCompletionCreateParamsProvider]](../models/chatcompletioncreateparamsprovider.md) | :heavy_minus_sign: | When multiple model providers are available, optionally indicate your routing preference. | |
| `plugins` | List[[models.ChatCompletionCreateParamsPluginUnion](../models/chatcompletioncreateparamspluginunion.md)] | :heavy_minus_sign: | Plugins you want to enable for this request, including their settings. | |
docs/models/chatstreamcompletioncreateparams.md
+1 -1
View File
@@ -28,7 +28,7 @@ Chat completion request parameters
| `tools` | List[[models.ChatCompletionTool](../models/chatcompletiontool.md)] | :heavy_minus_sign: | Available tools for function calling | |
| `top_p` | *OptionalNullable[float]* | :heavy_minus_sign: | Nucleus sampling parameter (0-1) | |
| `user` | *Optional[str]* | :heavy_minus_sign: | Unique user identifier | |
| `models_llm` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `fallback_models` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `reasoning_effort` | [OptionalNullable[models.ChatStreamCompletionCreateParamsReasoningEffort]](../models/chatstreamcompletioncreateparamsreasoningeffort.md) | :heavy_minus_sign: | Reasoning effort | |
| `provider` | [OptionalNullable[models.ChatStreamCompletionCreateParamsProvider]](../models/chatstreamcompletioncreateparamsprovider.md) | :heavy_minus_sign: | When multiple model providers are available, optionally indicate your routing preference. | |
| `plugins` | List[[models.ChatStreamCompletionCreateParamsPluginUnion](../models/chatstreamcompletioncreateparamspluginunion.md)] | :heavy_minus_sign: | Plugins you want to enable for this request, including their settings. | |
docs/models/error.md
+6 -6
View File
@@ -5,9 +5,9 @@ Error object structure
## Fields
| Field | Type | Required | Description |
| ------------------ | ------------------ | ------------------ | ------------------ |
| `code` | *Nullable[str]* | :heavy_check_mark: | N/A |
| `message` | *str* | :heavy_check_mark: | N/A |
| `param` | *Nullable[str]* | :heavy_check_mark: | N/A |
| `type` | *str* | :heavy_check_mark: | N/A |
| Field | Type | Required | Description |
| ----------------------- | ----------------------- | ----------------------- | ----------------------- |
| `code` | *Nullable[float]* | :heavy_check_mark: | N/A |
| `message` | *str* | :heavy_check_mark: | N/A |
| `param` | *OptionalNullable[str]* | :heavy_minus_sign: | N/A |
| `type` | *Optional[str]* | :heavy_minus_sign: | N/A |
docs/models/security.md
+1 -1
View File
@@ -5,4 +5,4 @@
| Field | Type | Required | Description |
| ------------------ | ------------------ | ------------------ | ------------------ |
| `bearer_auth` | *Optional[str]* | :heavy_minus_sign: | N/A |
| `api_key` | *Optional[str]* | :heavy_minus_sign: | N/A |
docs/sdks/chat/README.md
+8 -8
View File
@@ -18,17 +18,17 @@ Creates a model response for the given chat conversation. Supports both streamin
<!-- UsageSnippet language="python" operationID="createChatCompletion" method="post" path="/chat/completions" -->
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=False, temperature=1, top_p=1)
@@ -63,7 +63,7 @@ with OpenRouter(
| `tools` | List[[models.ChatCompletionTool](../../models/chatcompletiontool.md)] | :heavy_minus_sign: | Available tools for function calling | |
| `top_p` | *OptionalNullable[float]* | :heavy_minus_sign: | Nucleus sampling parameter (0-1) | |
| `user` | *Optional[str]* | :heavy_minus_sign: | Unique user identifier | |
| `models_llm` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `fallback_models` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `reasoning_effort` | [OptionalNullable[models.ChatCompletionCreateParamsReasoningEffort]](../../models/chatcompletioncreateparamsreasoningeffort.md) | :heavy_minus_sign: | Reasoning effort | |
| `provider` | [OptionalNullable[models.ChatCompletionCreateParamsProvider]](../../models/chatcompletioncreateparamsprovider.md) | :heavy_minus_sign: | When multiple model providers are available, optionally indicate your routing preference. | |
| `plugins` | List[[models.ChatCompletionCreateParamsPluginUnion](../../models/chatcompletioncreateparamspluginunion.md)] | :heavy_minus_sign: | Plugins you want to enable for this request, including their settings. | |
@@ -89,17 +89,17 @@ Creates a model response for the given chat conversation. Supports both streamin
<!-- UsageSnippet language="python" operationID="streamChatCompletion" method="post" path="/chat/completions#stream" -->
```python
from openrouter import OpenRouter, models
from openrouter import OpenRouter
import os
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_BEARER_AUTH", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete_stream(messages=[
{
"role": models.ChatCompletionUserMessageParamRole.USER,
"role": "user",
"content": "Hello, how are you?",
},
], stream=True, temperature=1, top_p=1)
@@ -136,7 +136,7 @@ with OpenRouter(
| `tools` | List[[models.ChatCompletionTool](../../models/chatcompletiontool.md)] | :heavy_minus_sign: | Available tools for function calling | |
| `top_p` | *OptionalNullable[float]* | :heavy_minus_sign: | Nucleus sampling parameter (0-1) | |
| `user` | *Optional[str]* | :heavy_minus_sign: | Unique user identifier | |
| `models_llm` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `fallback_models` | List[*str*] | :heavy_minus_sign: | Order of models to fallback to for this request | |
| `reasoning_effort` | [OptionalNullable[models.ChatStreamCompletionCreateParamsReasoningEffort]](../../models/chatstreamcompletioncreateparamsreasoningeffort.md) | :heavy_minus_sign: | Reasoning effort | |
| `provider` | [OptionalNullable[models.ChatStreamCompletionCreateParamsProvider]](../../models/chatstreamcompletioncreateparamsprovider.md) | :heavy_minus_sign: | When multiple model providers are available, optionally indicate your routing preference. | |
| `plugins` | List[[models.ChatStreamCompletionCreateParamsPluginUnion](../../models/chatstreamcompletioncreateparamspluginunion.md)] | :heavy_minus_sign: | Plugins you want to enable for this request, including their settings. | |
examples/.env
-1
View File
@@ -1 +0,0 @@
OPENROUTER_API_KEY="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"
examples/asyncChatCompletion.py
+24
View File
@@ -0,0 +1,24 @@
dependencies = [
"openrouter",
"os",
"asyncio",
]
import os
import asyncio
from openrouter import OpenRouter
async def main():
sdk = OpenRouter(
api_key=os.getenv("OPENROUTER_API_KEY"),
)
result = await sdk.chat.complete_async(
messages=[
{"role": "user", "content": "Hello, world!"},
],
model="openai/gpt-3.5-turbo",
)
print("Basic async completion:", result)
if __name__ == "__main__":
asyncio.run(main())
examples/asyncSseChatCompletion.py
+32
View File
@@ -0,0 +1,32 @@
dependencies = [
"openrouter",
"os",
"asyncio",
]
import os
import asyncio
from openrouter import OpenRouter
async def main():
open_router = OpenRouter(
api_key=os.getenv("OPENROUTER_API_KEY", ""),
)
res = await open_router.chat.complete_async(
messages=[
{
"role": "user",
"content": "Hello, how are you?",
},
],
model="openai/gpt-3.5-turbo",
stream=True
)
async for event in res: # type: ignore
if event.data.choices and event.data.choices[0].delta.content:
print(event.data.choices[0].delta.content, end='', flush=True)
print()
if __name__ == "__main__":
asyncio.run(main())
examples/chatCompletion.py
+3 -4
View File
@@ -8,13 +8,12 @@ import os
from openrouter import OpenRouter
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_API_KEY"),
api_key=os.getenv("OPENROUTER_API_KEY"),
) as sdk:
result = sdk.chat.complete(
model="openai/gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Hello, world!"},
],
model="openai/gpt-3.5-turbo",
)
print(result)
print("Basic completion:", result)
examples/sseChatCompletion.py
+13 -11
View File
@@ -5,22 +5,24 @@ dependencies = [
]
import os
from openrouter import OpenRouter, models
from openrouter import OpenRouter
with OpenRouter(
bearer_auth=os.getenv("OPENROUTER_API_KEY", ""),
api_key=os.getenv("OPENROUTER_API_KEY", ""),
) as open_router:
res = open_router.chat.complete_stream(messages=[
{
"role": "user",
"content": "Hello, how are you?",
},
], model="openai/gpt-3.5-turbo", stream=True, temperature=1, top_p=1)
res = open_router.chat.complete(
messages=[
{
"role": "user",
"content": "Hello, how are you?",
},
],
model="openai/gpt-3.5-turbo",
stream=True
)
with res as event_stream:
for event in event_stream:
if event.data.choices and event.data.choices[0].delta.content:
print(event.data.choices[0].delta.content, end='', flush=True)
print() # New line at the end
print()
pyproject.toml
+2 -1
View File
@@ -1,6 +1,6 @@
[project]
name = "openrouter"
version = "0.1.3"
version = "0.5.2"
description = "Python Client SDK Generated by Speakeasy."
authors = [{ name = "Speakeasy" },]
readme = "README-PYPI.md"
@@ -30,6 +30,7 @@ build-backend = "setuptools.build_meta"
[tool.pytest.ini_options]
asyncio_default_fixture_loop_scope = "function"
asyncio_mode = "auto"
pythonpath = ["src"]
[tool.mypy]
src/openrouter/_version.py
+3 -3
View File
@@ -3,10 +3,10 @@
import importlib.metadata
__title__: str = "openrouter"
__version__: str = "0.1.3"
__version__: str = "0.5.2"
__openapi_doc_version__: str = "1.0.0"
__gen_version__: str = "2.687.1"
__user_agent__: str = "speakeasy-sdk/python 0.1.3 2.687.1 1.0.0 openrouter"
__gen_version__: str = "2.694.1"
__user_agent__: str = "speakeasy-sdk/python 0.5.2 2.694.1 1.0.0 openrouter"
try:
if __package__ is not None:
src/openrouter/basesdk.py
+11 -1
View File
@@ -15,9 +15,19 @@ from urllib.parse import parse_qs, urlparse
class BaseSDK:
sdk_configuration: SDKConfiguration
parent_ref: Optional[object] = None
"""
Reference to the root SDK instance, if any. This will prevent it from
being garbage collected while there are active streams.
"""
def __init__(self, sdk_config: SDKConfiguration) -> None:
def __init__(
self,
sdk_config: SDKConfiguration,
parent_ref: Optional[object] = None,
) -> None:
self.sdk_configuration = sdk_config
self.parent_ref = parent_ref
def _get_url(self, base_url, url_variables):
sdk_url, sdk_variables = self.sdk_configuration.get_server_details()
src/openrouter/chat.py
+14 -12
View File
@@ -69,7 +69,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -115,7 +115,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -170,7 +170,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider, OptionalNullable[models.ChatCompletionCreateParamsProvider]
@@ -305,7 +305,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -351,7 +351,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -406,7 +406,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider, OptionalNullable[models.ChatCompletionCreateParamsProvider]
@@ -541,7 +541,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatStreamCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -587,7 +587,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -643,7 +643,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider,
@@ -706,6 +706,7 @@ class Chat(BaseSDK):
raw, models.StreamChatCompletionResponseBody
),
sentinel="[DONE]",
client_ref=self,
)
if utils.match_response(http_res, ["400", "401", "429"], "application/json"):
http_res_text = utils.stream_to_text(http_res)
@@ -792,7 +793,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatStreamCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -838,7 +839,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -894,7 +895,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider,
@@ -957,6 +958,7 @@ class Chat(BaseSDK):
raw, models.StreamChatCompletionResponseBody
),
sentinel="[DONE]",
client_ref=self,
)
if utils.match_response(http_res, ["400", "401", "429"], "application/json"):
http_res_text = await utils.stream_to_text_async(http_res)
src/openrouter/errors/__init__.py
+15 -3
View File
@@ -1,14 +1,15 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from .openroutererror import OpenRouterError
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .chatcompletionerror import ChatCompletionError, ChatCompletionErrorData
from .no_response_error import NoResponseError
from .openrouterdefaulterror import OpenRouterDefaultError
from .openroutererror import OpenRouterError
from .responsevalidationerror import ResponseValidationError
__all__ = [
@@ -25,11 +26,22 @@ _dynamic_imports: dict[str, str] = {
"ChatCompletionErrorData": ".chatcompletionerror",
"NoResponseError": ".no_response_error",
"OpenRouterDefaultError": ".openrouterdefaulterror",
"OpenRouterError": ".openroutererror",
"ResponseValidationError": ".responsevalidationerror",
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -38,7 +50,7 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
module = dynamic_import(module_name)
result = getattr(module, attr_name)
return result
except ImportError as e:
src/openrouter/models/__init__.py
+14 -1
View File
@@ -3,6 +3,7 @@
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .annotationdetail import AnnotationDetail, AnnotationDetailTypedDict
@@ -931,6 +932,18 @@ _dynamic_imports: dict[str, str] = {
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -939,7 +952,7 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
module = dynamic_import(module_name)
result = getattr(module, attr_name)
return result
except ImportError as e:
src/openrouter/models/chatcompletion.py
+2 -4
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
from .chatcompletionchoice import ChatCompletionChoice, ChatCompletionChoiceTypedDict
from .completionusage import CompletionUsage, CompletionUsageTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -12,12 +11,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionObject(str, Enum):
CHAT_COMPLETION = "chat.completion"
ChatCompletionObject = Literal["chat.completion"]
class ChatCompletionTypedDict(TypedDict):
src/openrouter/models/chatcompletionassistantmessageparam.py
+2 -5
View File
@@ -9,7 +9,6 @@ from .chatcompletionmessagetoolcall import (
ChatCompletionMessageToolCall,
ChatCompletionMessageToolCallTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -18,13 +17,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Any, List, Optional, Union
from typing import Any, List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionAssistantMessageParamRole(str, Enum):
ASSISTANT = "assistant"
ChatCompletionAssistantMessageParamRole = Literal["assistant"]
ChatCompletionAssistantMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionAssistantMessageParamContentTypedDict",
src/openrouter/models/chatcompletionchoice.py
+5 -9
View File
@@ -6,7 +6,6 @@ from .chatcompletiontokenlogprobs import (
ChatCompletionTokenLogprobs,
ChatCompletionTokenLogprobsTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -15,17 +14,14 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Literal
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChoiceFinishReason(str, Enum):
r"""Reason the completion finished"""
TOOL_CALLS = "tool_calls"
STOP = "stop"
LENGTH = "length"
CONTENT_FILTER = "content_filter"
ERROR = "error"
ChatCompletionChoiceFinishReason = Literal[
"tool_calls", "stop", "length", "content_filter", "error"
]
r"""Reason the completion finished"""
class ChatCompletionChoiceTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunk.py
+2 -4
View File
@@ -6,7 +6,6 @@ from .chatcompletionchunkchoice import (
ChatCompletionChunkChoiceTypedDict,
)
from .completionusage import CompletionUsage, CompletionUsageTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -15,12 +14,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkObject(str, Enum):
CHAT_COMPLETION_CHUNK = "chat.completion.chunk"
ChatCompletionChunkObject = Literal["chat.completion.chunk"]
class ChatCompletionChunkTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoice.py
+4 -7
View File
@@ -9,7 +9,6 @@ from .chatcompletiontokenlogprobs import (
ChatCompletionTokenLogprobs,
ChatCompletionTokenLogprobsTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -18,15 +17,13 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Literal
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceFinishReason(str, Enum):
TOOL_CALLS = "tool_calls"
STOP = "stop"
LENGTH = "length"
CONTENT_FILTER = "content_filter"
ERROR = "error"
ChatCompletionChunkChoiceFinishReason = Literal[
"tool_calls", "stop", "length", "content_filter", "error"
]
class ChatCompletionChunkChoiceTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoicedelta.py
+3 -6
View File
@@ -7,7 +7,6 @@ from .chatcompletionchunkchoicedeltatoolcall import (
ChatCompletionChunkChoiceDeltaToolCallTypedDict,
)
from .reasoningdetail import ReasoningDetail, ReasoningDetailTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -16,14 +15,12 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceDeltaRole(str, Enum):
r"""The role of the message author"""
ASSISTANT = "assistant"
ChatCompletionChunkChoiceDeltaRole = Literal["assistant"]
r"""The role of the message author"""
class ChatCompletionChunkChoiceDeltaTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoicedeltatoolcall.py
+3 -6
View File
@@ -1,16 +1,13 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceDeltaToolCallType(str, Enum):
r"""Tool call type"""
FUNCTION = "function"
ChatCompletionChunkChoiceDeltaToolCallType = Literal["function"]
r"""Tool call type"""
class ChatCompletionChunkChoiceDeltaToolCallFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentpartaudio.py
+6 -14
View File
@@ -1,26 +1,18 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
import pydantic
from typing import Literal
from typing_extensions import Annotated, TypedDict
class ChatCompletionContentPartAudioType(str, Enum):
INPUT_AUDIO = "input_audio"
ChatCompletionContentPartAudioType = Literal["input_audio"]
class ChatCompletionContentPartAudioFormat(str, Enum):
r"""Audio format"""
WAV = "wav"
MP3 = "mp3"
FLAC = "flac"
M4A = "m4a"
OGG = "ogg"
PCM16 = "pcm16"
PCM24 = "pcm24"
ChatCompletionContentPartAudioFormat = Literal[
"wav", "mp3", "flac", "m4a", "ogg", "pcm16", "pcm24"
]
r"""Audio format"""
class InputAudioTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentpartimage.py
+4 -11
View File
@@ -1,22 +1,15 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionContentPartImageType(str, Enum):
IMAGE_URL = "image_url"
ChatCompletionContentPartImageType = Literal["image_url"]
class Detail(str, Enum):
r"""Image detail level for vision models"""
AUTO = "auto"
LOW = "low"
HIGH = "high"
Detail = Literal["auto", "low", "high"]
r"""Image detail level for vision models"""
class ChatCompletionContentPartImageImageURLTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentparttext.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionContentPartTextType(str, Enum):
TEXT = "text"
ChatCompletionContentPartTextType = Literal["text"]
class ChatCompletionContentPartTextTypedDict(TypedDict):
src/openrouter/models/chatcompletioncreateparams.py
+270 -315
View File
@@ -14,7 +14,6 @@ from .responseformatjsonschemaschema import (
ResponseFormatJSONSchemaSchema,
ResponseFormatJSONSchemaSchemaTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -24,17 +23,12 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
class ChatCompletionCreateParamsEffort(str, Enum):
r"""OpenAI-style reasoning effort setting"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatCompletionCreateParamsEffort = Literal["high", "medium", "low", "minimal"]
r"""OpenAI-style reasoning effort setting"""
class ChatCompletionCreateParamsReasoningTypedDict(TypedDict):
@@ -94,8 +88,7 @@ class ChatCompletionCreateParamsReasoning(BaseModel):
return m
class ChatCompletionCreateParamsTypePython(str, Enum):
PYTHON = "python"
ChatCompletionCreateParamsTypePython = Literal["python"]
class ChatCompletionCreateParamsResponseFormatPythonTypedDict(TypedDict):
@@ -110,8 +103,7 @@ class ChatCompletionCreateParamsResponseFormatPython(BaseModel):
type: ChatCompletionCreateParamsTypePython
class ChatCompletionCreateParamsTypeGrammar(str, Enum):
GRAMMAR = "grammar"
ChatCompletionCreateParamsTypeGrammar = Literal["grammar"]
class ChatCompletionCreateParamsResponseFormatGrammarTypedDict(TypedDict):
@@ -131,8 +123,7 @@ class ChatCompletionCreateParamsResponseFormatGrammar(BaseModel):
r"""Custom grammar for text generation"""
class ChatCompletionCreateParamsTypeJSONSchema(str, Enum):
JSON_SCHEMA = "json_schema"
ChatCompletionCreateParamsTypeJSONSchema = Literal["json_schema"]
class ChatCompletionCreateParamsJSONSchemaTypedDict(TypedDict):
@@ -207,8 +198,7 @@ class ChatCompletionCreateParamsResponseFormatJSONSchema(BaseModel):
json_schema: ChatCompletionCreateParamsJSONSchema
class ChatCompletionCreateParamsTypeJSONObject(str, Enum):
JSON_OBJECT = "json_object"
ChatCompletionCreateParamsTypeJSONObject = Literal["json_object"]
class ChatCompletionCreateParamsResponseFormatJSONObjectTypedDict(TypedDict):
@@ -223,8 +213,7 @@ class ChatCompletionCreateParamsResponseFormatJSONObject(BaseModel):
type: ChatCompletionCreateParamsTypeJSONObject
class ChatCompletionCreateParamsTypeText(str, Enum):
TEXT = "text"
ChatCompletionCreateParamsTypeText = Literal["text"]
class ChatCompletionCreateParamsResponseFormatTextTypedDict(TypedDict):
@@ -291,106 +280,96 @@ class ChatCompletionCreateParamsStreamOptions(BaseModel):
r"""Include usage information in streaming response"""
class ChatCompletionCreateParamsReasoningEffort(str, Enum):
r"""Reasoning effort"""
ChatCompletionCreateParamsReasoningEffort = Literal["high", "medium", "low", "minimal"]
r"""Reasoning effort"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatCompletionCreateParamsDataCollection = Literal["deny", "allow"]
r"""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.
"""
class ChatCompletionCreateParamsDataCollection(str, Enum):
r"""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.
"""
DENY = "deny"
ALLOW = "allow"
class ChatCompletionCreateParamsOrderEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsOrderEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsOrderUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsOrderUnionTypedDict",
@@ -404,86 +383,86 @@ ChatCompletionCreateParamsOrderUnion = TypeAliasType(
)
class ChatCompletionCreateParamsOnlyEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsOnlyEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsOnlyUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsOnlyUnionTypedDict",
@@ -497,86 +476,86 @@ ChatCompletionCreateParamsOnlyUnion = TypeAliasType(
)
class ChatCompletionCreateParamsIgnoreEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsIgnoreEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsIgnoreUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsIgnoreUnionTypedDict",
@@ -590,25 +569,12 @@ ChatCompletionCreateParamsIgnoreUnion = TypeAliasType(
)
class ChatCompletionCreateParamsQuantization(str, Enum):
INT4 = "int4"
INT8 = "int8"
FP4 = "fp4"
FP6 = "fp6"
FP8 = "fp8"
FP16 = "fp16"
BF16 = "bf16"
FP32 = "fp32"
UNKNOWN = "unknown"
class ChatCompletionCreateParamsSort(str, Enum):
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
PRICE = "price"
THROUGHPUT = "throughput"
LATENCY = "latency"
ChatCompletionCreateParamsQuantization = Literal[
"int4", "int8", "fp4", "fp6", "fp8", "fp16", "bf16", "fp32", "unknown"
]
ChatCompletionCreateParamsSort = Literal["price", "throughput", "latency"]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
ChatCompletionCreateParamsPromptTypedDict = TypeAliasType(
"ChatCompletionCreateParamsPromptTypedDict", Union[float, str, Any]
@@ -805,14 +771,9 @@ class ChatCompletionCreateParamsProvider(BaseModel):
return m
class ChatCompletionCreateParamsIDFileParser(str, Enum):
FILE_PARSER = "file-parser"
ChatCompletionCreateParamsIDFileParser = Literal["file-parser"]
class ChatCompletionCreateParamsPdfEngine(str, Enum):
MISTRAL_OCR = "mistral-ocr"
PDF_TEXT = "pdf-text"
NATIVE = "native"
ChatCompletionCreateParamsPdfEngine = Literal["mistral-ocr", "pdf-text", "native"]
class ChatCompletionCreateParamsPdfTypedDict(TypedDict):
@@ -837,8 +798,7 @@ class ChatCompletionCreateParamsPluginFileParser(BaseModel):
pdf: Optional[ChatCompletionCreateParamsPdf] = None
class ChatCompletionCreateParamsIDChainOfThought(str, Enum):
CHAIN_OF_THOUGHT = "chain-of-thought"
ChatCompletionCreateParamsIDChainOfThought = Literal["chain-of-thought"]
class ChatCompletionCreateParamsPluginChainOfThoughtTypedDict(TypedDict):
@@ -849,13 +809,9 @@ class ChatCompletionCreateParamsPluginChainOfThought(BaseModel):
id: ChatCompletionCreateParamsIDChainOfThought
class ChatCompletionCreateParamsIDWeb(str, Enum):
WEB = "web"
ChatCompletionCreateParamsIDWeb = Literal["web"]
class ChatCompletionCreateParamsEngine(str, Enum):
NATIVE = "native"
EXA = "exa"
ChatCompletionCreateParamsEngine = Literal["native", "exa"]
class ChatCompletionCreateParamsPluginWebTypedDict(TypedDict):
@@ -875,8 +831,7 @@ class ChatCompletionCreateParamsPluginWeb(BaseModel):
engine: Optional[ChatCompletionCreateParamsEngine] = None
class ChatCompletionCreateParamsIDModeration(str, Enum):
MODERATION = "moderation"
ChatCompletionCreateParamsIDModeration = Literal["moderation"]
class ChatCompletionCreateParamsPluginModerationTypedDict(TypedDict):
@@ -955,7 +910,7 @@ class ChatCompletionCreateParamsTypedDict(TypedDict):
r"""Nucleus sampling parameter (0-1)"""
user: NotRequired[str]
r"""Unique user identifier"""
models_llm: NotRequired[Nullable[List[str]]]
fallback_models: NotRequired[Nullable[List[str]]]
r"""Order of models to fallback to for this request"""
reasoning_effort: NotRequired[Nullable[ChatCompletionCreateParamsReasoningEffort]]
r"""Reasoning effort"""
@@ -1030,7 +985,7 @@ class ChatCompletionCreateParams(BaseModel):
user: Optional[str] = None
r"""Unique user identifier"""
models_llm: Annotated[
fallback_models: Annotated[
OptionalNullable[List[str]], pydantic.Field(alias="models")
] = UNSET
r"""Order of models to fallback to for this request"""
@@ -1069,7 +1024,7 @@ class ChatCompletionCreateParams(BaseModel):
"tools",
"top_p",
"user",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
"plugins",
@@ -1089,7 +1044,7 @@ class ChatCompletionCreateParams(BaseModel):
"stream_options",
"temperature",
"top_p",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
]
src/openrouter/models/chatcompletionerror.py
+16 -9
View File
@@ -1,34 +1,41 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
from openrouter.types import (
BaseModel,
Nullable,
OptionalNullable,
UNSET,
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing_extensions import TypedDict
from typing import Optional
from typing_extensions import NotRequired, TypedDict
class ErrorTypedDict(TypedDict):
r"""Error object structure"""
code: Nullable[str]
code: Nullable[float]
message: str
param: Nullable[str]
type: str
param: NotRequired[Nullable[str]]
type: NotRequired[str]
class Error(BaseModel):
r"""Error object structure"""
code: Nullable[str]
code: Nullable[float]
message: str
param: Nullable[str]
param: OptionalNullable[str] = UNSET
type: str
type: Optional[str] = None
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = []
optional_fields = ["param", "type"]
nullable_fields = ["code", "param"]
null_default_fields = []
src/openrouter/models/chatcompletionmessage.py
+2 -4
View File
@@ -7,7 +7,6 @@ from .chatcompletionmessagetoolcall import (
ChatCompletionMessageToolCallTypedDict,
)
from .reasoningdetail import ReasoningDetail, ReasoningDetailTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -16,12 +15,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionMessageRole(str, Enum):
ASSISTANT = "assistant"
ChatCompletionMessageRole = Literal["assistant"]
class ChatCompletionMessageTypedDict(TypedDict):
src/openrouter/models/chatcompletionmessagetoolcall.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionMessageToolCallType(str, Enum):
FUNCTION = "function"
ChatCompletionMessageToolCallType = Literal["function"]
class ChatCompletionMessageToolCallFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletionnamedtoolchoice.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionNamedToolChoiceType(str, Enum):
FUNCTION = "function"
ChatCompletionNamedToolChoiceType = Literal["function"]
class ChatCompletionNamedToolChoiceFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletionsystemmessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentparttext import (
ChatCompletionContentPartText,
ChatCompletionContentPartTextTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionSystemMessageParamRole(str, Enum):
SYSTEM = "system"
ChatCompletionSystemMessageParamRole = Literal["system"]
ChatCompletionSystemMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionSystemMessageParamContentTypedDict",
src/openrouter/models/chatcompletiontool.py
+2 -4
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -10,12 +9,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionToolType(str, Enum):
FUNCTION = "function"
ChatCompletionToolType = Literal["function"]
class ParametersTypedDict(TypedDict):
src/openrouter/models/chatcompletiontoolchoiceoption.py
+4 -11
View File
@@ -5,22 +5,15 @@ from .chatcompletionnamedtoolchoice import (
ChatCompletionNamedToolChoice,
ChatCompletionNamedToolChoiceTypedDict,
)
from enum import Enum
from typing import Union
from typing import Literal, Union
from typing_extensions import TypeAliasType
class ChatCompletionToolChoiceOptionRequired(str, Enum):
REQUIRED = "required"
ChatCompletionToolChoiceOptionRequired = Literal["required"]
ChatCompletionToolChoiceOptionAuto = Literal["auto"]
class ChatCompletionToolChoiceOptionAuto(str, Enum):
AUTO = "auto"
class ChatCompletionToolChoiceOptionNone(str, Enum):
NONE = "none"
ChatCompletionToolChoiceOptionNone = Literal["none"]
ChatCompletionToolChoiceOptionTypedDict = TypeAliasType(
"ChatCompletionToolChoiceOptionTypedDict",
src/openrouter/models/chatcompletiontoolmessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentpart import (
ChatCompletionContentPart,
ChatCompletionContentPartTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Union
from typing import List, Literal, Union
from typing_extensions import TypeAliasType, TypedDict
class ChatCompletionToolMessageParamRole(str, Enum):
TOOL = "tool"
ChatCompletionToolMessageParamRole = Literal["tool"]
ChatCompletionToolMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionToolMessageParamContentTypedDict",
src/openrouter/models/chatcompletionusermessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentpart import (
ChatCompletionContentPart,
ChatCompletionContentPartTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionUserMessageParamRole(str, Enum):
USER = "user"
ChatCompletionUserMessageParamRole = Literal["user"]
ChatCompletionUserMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionUserMessageParamContentTypedDict",
src/openrouter/models/chatstreamcompletioncreateparams.py
+272 -315
View File
@@ -14,7 +14,6 @@ from .responseformatjsonschemaschema import (
ResponseFormatJSONSchemaSchema,
ResponseFormatJSONSchemaSchemaTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -24,17 +23,12 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
class ChatStreamCompletionCreateParamsEffort(str, Enum):
r"""OpenAI-style reasoning effort setting"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatStreamCompletionCreateParamsEffort = Literal["high", "medium", "low", "minimal"]
r"""OpenAI-style reasoning effort setting"""
class ChatStreamCompletionCreateParamsReasoningTypedDict(TypedDict):
@@ -94,8 +88,7 @@ class ChatStreamCompletionCreateParamsReasoning(BaseModel):
return m
class ChatStreamCompletionCreateParamsTypePython(str, Enum):
PYTHON = "python"
ChatStreamCompletionCreateParamsTypePython = Literal["python"]
class ChatStreamCompletionCreateParamsResponseFormatPythonTypedDict(TypedDict):
@@ -110,8 +103,7 @@ class ChatStreamCompletionCreateParamsResponseFormatPython(BaseModel):
type: ChatStreamCompletionCreateParamsTypePython
class ChatStreamCompletionCreateParamsTypeGrammar(str, Enum):
GRAMMAR = "grammar"
ChatStreamCompletionCreateParamsTypeGrammar = Literal["grammar"]
class ChatStreamCompletionCreateParamsResponseFormatGrammarTypedDict(TypedDict):
@@ -131,8 +123,7 @@ class ChatStreamCompletionCreateParamsResponseFormatGrammar(BaseModel):
r"""Custom grammar for text generation"""
class ChatStreamCompletionCreateParamsTypeJSONSchema(str, Enum):
JSON_SCHEMA = "json_schema"
ChatStreamCompletionCreateParamsTypeJSONSchema = Literal["json_schema"]
class ChatStreamCompletionCreateParamsJSONSchemaTypedDict(TypedDict):
@@ -207,8 +198,7 @@ class ChatStreamCompletionCreateParamsResponseFormatJSONSchema(BaseModel):
json_schema: ChatStreamCompletionCreateParamsJSONSchema
class ChatStreamCompletionCreateParamsTypeJSONObject(str, Enum):
JSON_OBJECT = "json_object"
ChatStreamCompletionCreateParamsTypeJSONObject = Literal["json_object"]
class ChatStreamCompletionCreateParamsResponseFormatJSONObjectTypedDict(TypedDict):
@@ -223,8 +213,7 @@ class ChatStreamCompletionCreateParamsResponseFormatJSONObject(BaseModel):
type: ChatStreamCompletionCreateParamsTypeJSONObject
class ChatStreamCompletionCreateParamsTypeText(str, Enum):
TEXT = "text"
ChatStreamCompletionCreateParamsTypeText = Literal["text"]
class ChatStreamCompletionCreateParamsResponseFormatTextTypedDict(TypedDict):
@@ -291,106 +280,98 @@ class ChatStreamCompletionCreateParamsStreamOptions(BaseModel):
r"""Include usage information in streaming response"""
class ChatStreamCompletionCreateParamsReasoningEffort(str, Enum):
r"""Reasoning effort"""
ChatStreamCompletionCreateParamsReasoningEffort = Literal[
"high", "medium", "low", "minimal"
]
r"""Reasoning effort"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatStreamCompletionCreateParamsDataCollection = Literal["deny", "allow"]
r"""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.
"""
class ChatStreamCompletionCreateParamsDataCollection(str, Enum):
r"""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.
"""
DENY = "deny"
ALLOW = "allow"
class ChatStreamCompletionCreateParamsOrderEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsOrderEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsOrderUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsOrderUnionTypedDict",
@@ -404,86 +385,86 @@ ChatStreamCompletionCreateParamsOrderUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsOnlyEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsOnlyEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsOnlyUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsOnlyUnionTypedDict",
@@ -497,86 +478,86 @@ ChatStreamCompletionCreateParamsOnlyUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsIgnoreEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsIgnoreEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsIgnoreUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsIgnoreUnionTypedDict",
@@ -590,25 +571,12 @@ ChatStreamCompletionCreateParamsIgnoreUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsQuantization(str, Enum):
INT4 = "int4"
INT8 = "int8"
FP4 = "fp4"
FP6 = "fp6"
FP8 = "fp8"
FP16 = "fp16"
BF16 = "bf16"
FP32 = "fp32"
UNKNOWN = "unknown"
class ChatStreamCompletionCreateParamsSort(str, Enum):
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
PRICE = "price"
THROUGHPUT = "throughput"
LATENCY = "latency"
ChatStreamCompletionCreateParamsQuantization = Literal[
"int4", "int8", "fp4", "fp6", "fp8", "fp16", "bf16", "fp32", "unknown"
]
ChatStreamCompletionCreateParamsSort = Literal["price", "throughput", "latency"]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
ChatStreamCompletionCreateParamsPromptTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsPromptTypedDict", Union[float, str, Any]
@@ -817,14 +785,9 @@ class ChatStreamCompletionCreateParamsProvider(BaseModel):
return m
class ChatStreamCompletionCreateParamsIDFileParser(str, Enum):
FILE_PARSER = "file-parser"
ChatStreamCompletionCreateParamsIDFileParser = Literal["file-parser"]
class ChatStreamCompletionCreateParamsPdfEngine(str, Enum):
MISTRAL_OCR = "mistral-ocr"
PDF_TEXT = "pdf-text"
NATIVE = "native"
ChatStreamCompletionCreateParamsPdfEngine = Literal["mistral-ocr", "pdf-text", "native"]
class ChatStreamCompletionCreateParamsPdfTypedDict(TypedDict):
@@ -849,8 +812,7 @@ class ChatStreamCompletionCreateParamsPluginFileParser(BaseModel):
pdf: Optional[ChatStreamCompletionCreateParamsPdf] = None
class ChatStreamCompletionCreateParamsIDChainOfThought(str, Enum):
CHAIN_OF_THOUGHT = "chain-of-thought"
ChatStreamCompletionCreateParamsIDChainOfThought = Literal["chain-of-thought"]
class ChatStreamCompletionCreateParamsPluginChainOfThoughtTypedDict(TypedDict):
@@ -861,13 +823,9 @@ class ChatStreamCompletionCreateParamsPluginChainOfThought(BaseModel):
id: ChatStreamCompletionCreateParamsIDChainOfThought
class ChatStreamCompletionCreateParamsIDWeb(str, Enum):
WEB = "web"
ChatStreamCompletionCreateParamsIDWeb = Literal["web"]
class ChatStreamCompletionCreateParamsEngine(str, Enum):
NATIVE = "native"
EXA = "exa"
ChatStreamCompletionCreateParamsEngine = Literal["native", "exa"]
class ChatStreamCompletionCreateParamsPluginWebTypedDict(TypedDict):
@@ -887,8 +845,7 @@ class ChatStreamCompletionCreateParamsPluginWeb(BaseModel):
engine: Optional[ChatStreamCompletionCreateParamsEngine] = None
class ChatStreamCompletionCreateParamsIDModeration(str, Enum):
MODERATION = "moderation"
ChatStreamCompletionCreateParamsIDModeration = Literal["moderation"]
class ChatStreamCompletionCreateParamsPluginModerationTypedDict(TypedDict):
@@ -969,7 +926,7 @@ class ChatStreamCompletionCreateParamsTypedDict(TypedDict):
r"""Nucleus sampling parameter (0-1)"""
user: NotRequired[str]
r"""Unique user identifier"""
models_llm: NotRequired[Nullable[List[str]]]
fallback_models: NotRequired[Nullable[List[str]]]
r"""Order of models to fallback to for this request"""
reasoning_effort: NotRequired[
Nullable[ChatStreamCompletionCreateParamsReasoningEffort]
@@ -1050,7 +1007,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
user: Optional[str] = None
r"""Unique user identifier"""
models_llm: Annotated[
fallback_models: Annotated[
OptionalNullable[List[str]], pydantic.Field(alias="models")
] = UNSET
r"""Order of models to fallback to for this request"""
@@ -1089,7 +1046,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
"tools",
"top_p",
"user",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
"plugins",
@@ -1108,7 +1065,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
"stream_options",
"temperature",
"top_p",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
]
src/openrouter/models/fileannotationdetail.py
+4 -9
View File
@@ -1,18 +1,14 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class TypeFile(str, Enum):
FILE = "file"
TypeFile = Literal["file"]
class ContentTypeImageURL(str, Enum):
IMAGE_URL = "image_url"
ContentTypeImageURL = Literal["image_url"]
class FileAnnotationDetailImageURLTypedDict(TypedDict):
@@ -34,8 +30,7 @@ class ContentImageURL(BaseModel):
image_url: FileAnnotationDetailImageURL
class ContentTypeText(str, Enum):
TEXT = "text"
ContentTypeText = Literal["text"]
class ContentTextTypedDict(TypedDict):
src/openrouter/models/reasoningdetailencrypted.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailEncryptedType(str, Enum):
REASONING_ENCRYPTED = "reasoning.encrypted"
ReasoningDetailEncryptedType = Literal["reasoning.encrypted"]
class ReasoningDetailEncryptedFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailEncryptedFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailEncryptedTypedDict(TypedDict):
@@ -46,7 +42,7 @@ class ReasoningDetailEncrypted(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailEncryptedFormat], pydantic.Field(alias="format")
] = ReasoningDetailEncryptedFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/reasoningdetailsummary.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailSummaryType(str, Enum):
REASONING_SUMMARY = "reasoning.summary"
ReasoningDetailSummaryType = Literal["reasoning.summary"]
class ReasoningDetailSummaryFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailSummaryFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailSummaryTypedDict(TypedDict):
@@ -46,7 +42,7 @@ class ReasoningDetailSummary(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailSummaryFormat], pydantic.Field(alias="format")
] = ReasoningDetailSummaryFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/reasoningdetailtext.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailTextType(str, Enum):
REASONING_TEXT = "reasoning.text"
ReasoningDetailTextType = Literal["reasoning.text"]
class ReasoningDetailTextFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailTextFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailTextTypedDict(TypedDict):
@@ -49,7 +45,7 @@ class ReasoningDetailText(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailTextFormat], pydantic.Field(alias="format")
] = ReasoningDetailTextFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/security.py
+2 -2
View File
@@ -8,11 +8,11 @@ from typing_extensions import Annotated, NotRequired, TypedDict
class SecurityTypedDict(TypedDict):
bearer_auth: NotRequired[str]
api_key: NotRequired[str]
class Security(BaseModel):
bearer_auth: Annotated[
api_key: Annotated[
Optional[str],
FieldMetadata(
security=SecurityMetadata(
src/openrouter/models/urlcitationannotationdetail.py
+2 -4
View File
@@ -1,14 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class URLCitationAnnotationDetailType(str, Enum):
URL_CITATION = "url_citation"
URLCitationAnnotationDetailType = Literal["url_citation"]
class URLCitationTypedDict(TypedDict):
src/openrouter/sdk.py
+20 -7
View File
@@ -10,6 +10,7 @@ import importlib
from openrouter import models, utils
from openrouter._hooks import SDKHooks
from openrouter.types import OptionalNullable, UNSET
import sys
from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING, Union, cast
import weakref
@@ -30,7 +31,7 @@ class OpenRouter(BaseSDK):
def __init__(
self,
bearer_auth: Optional[Union[Optional[str], Callable[[], Optional[str]]]] = None,
api_key: Optional[Union[Optional[str], Callable[[], Optional[str]]]] = None,
provider_url: Optional[str] = None,
server_idx: Optional[int] = None,
server_url: Optional[str] = None,
@@ -43,7 +44,7 @@ class OpenRouter(BaseSDK):
) -> None:
r"""Instantiates the SDK configuring it with the provided parameters.
:param bearer_auth: The bearer_auth required for authentication
:param api_key: The api_key required for authentication
:param provider_url: Allows setting the provider_url variable for url substitution
:param server_idx: The index of the server to use for all methods
:param server_url: The server URL to use for all methods
@@ -75,11 +76,11 @@ class OpenRouter(BaseSDK):
), "The provided async_client must implement the AsyncHttpClient protocol."
security: Any = None
if callable(bearer_auth):
if callable(api_key):
# pylint: disable=unnecessary-lambda-assignment
security = lambda: models.Security(bearer_auth=bearer_auth())
security = lambda: models.Security(api_key=api_key())
else:
security = models.Security(bearer_auth=bearer_auth)
security = models.Security(api_key=api_key)
if server_url is not None:
if url_params is not None:
@@ -105,6 +106,7 @@ class OpenRouter(BaseSDK):
timeout_ms=timeout_ms,
debug_logger=debug_logger,
),
parent_ref=self,
)
hooks = SDKHooks()
@@ -124,13 +126,24 @@ class OpenRouter(BaseSDK):
self.sdk_configuration.async_client_supplied,
)
def dynamic_import(self, modname, retries=3):
for attempt in range(retries):
try:
return importlib.import_module(modname)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(self, name: str):
if name in self._sub_sdk_map:
module_path, class_name = self._sub_sdk_map[name]
try:
module = importlib.import_module(module_path)
module = self.dynamic_import(module_path)
klass = getattr(module, class_name)
instance = klass(self.sdk_configuration)
instance = klass(self.sdk_configuration, parent_ref=self)
setattr(self, name, instance)
return instance
except ImportError as e:
src/openrouter/utils/__init__.py
+15 -3
View File
@@ -3,6 +3,7 @@
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .annotations import get_discriminator
@@ -162,6 +163,18 @@ _dynamic_imports: dict[str, str] = {
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -170,9 +183,8 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
result = getattr(module, attr_name)
return result
module = dynamic_import(module_name)
return getattr(module, attr_name)
except ImportError as e:
raise ImportError(
f"Failed to import {attr_name} from {module_name}: {e}"
src/openrouter/utils/eventstreaming.py
+10
View File
@@ -17,6 +17,9 @@ T = TypeVar("T")
class EventStream(Generic[T]):
# Holds a reference to the SDK client to avoid it being garbage collected
# and cause termination of the underlying httpx client.
client_ref: Optional[object]
response: httpx.Response
generator: Generator[T, None, None]
@@ -25,9 +28,11 @@ class EventStream(Generic[T]):
response: httpx.Response,
decoder: Callable[[str], T],
sentinel: Optional[str] = None,
client_ref: Optional[object] = None,
):
self.response = response
self.generator = stream_events(response, decoder, sentinel)
self.client_ref = client_ref
def __iter__(self):
return self
@@ -43,6 +48,9 @@ class EventStream(Generic[T]):
class EventStreamAsync(Generic[T]):
# Holds a reference to the SDK client to avoid it being garbage collected
# and cause termination of the underlying httpx client.
client_ref: Optional[object]
response: httpx.Response
generator: AsyncGenerator[T, None]
@@ -51,9 +59,11 @@ class EventStreamAsync(Generic[T]):
response: httpx.Response,
decoder: Callable[[str], T],
sentinel: Optional[str] = None,
client_ref: Optional[object] = None,
):
self.response = response
self.generator = stream_events_async(response, decoder, sentinel)
self.client_ref = client_ref
def __aiter__(self):
return self
src/openrouter/utils/security.py
+2 -2
View File
@@ -64,8 +64,8 @@ def get_security_from_env(security: Any, security_class: Any) -> Optional[BaseMo
security_dict: Any = {}
if os.getenv("OPENROUTER_BEARER_AUTH"):
security_dict["bearer_auth"] = os.getenv("OPENROUTER_BEARER_AUTH")
if os.getenv("OPENROUTER_API_KEY"):
security_dict["api_key"] = os.getenv("OPENROUTER_API_KEY")
return security_class(**security_dict) if security_dict else None
uv.lock
Generated
+1 -1
View File
@@ -201,7 +201,7 @@ wheels = [
[[package]]
name = "openrouter"
version = "0.1.3"
version = "0.5.2"
source = { editable = "." }
dependencies = [
{ name = "httpcore" },