| Name | opencode-ai JSON |
| Version |
0.1.0a35
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| home_page | None |
| Summary | The official Python library for the opencode API |
| upload_time | 2025-07-29 02:59:55 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
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# Opencode Python API library
<!-- prettier-ignore -->
[)](https://pypi.org/project/opencode-ai/)
The Opencode Python library provides convenient access to the Opencode REST API from any Python 3.8+
application. The library includes type definitions for all request params and response fields,
and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
It is generated with [Stainless](https://www.stainless.com/).
## Documentation
The REST API documentation can be found on [opencode.ai](https://opencode.ai/docs). The full API of this library can be found in [api.md](https://github.com/sst/opencode-sdk-python/tree/main/api.md).
## Installation
```sh
# install from PyPI
pip install --pre opencode-ai
```
## Usage
The full API of this library can be found in [api.md](https://github.com/sst/opencode-sdk-python/tree/main/api.md).
```python
from opencode_ai import Opencode
client = Opencode()
sessions = client.session.list()
```
## Async usage
Simply import `AsyncOpencode` instead of `Opencode` and use `await` with each API call:
```python
import asyncio
from opencode_ai import AsyncOpencode
client = AsyncOpencode()
async def main() -> None:
sessions = await client.session.list()
asyncio.run(main())
```
Functionality between the synchronous and asynchronous clients is otherwise identical.
### With aiohttp
By default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.
You can enable this by installing `aiohttp`:
```sh
# install from PyPI
pip install --pre opencode-ai[aiohttp]
```
Then you can enable it by instantiating the client with `http_client=DefaultAioHttpClient()`:
```python
import asyncio
from opencode_ai import DefaultAioHttpClient
from opencode_ai import AsyncOpencode
async def main() -> None:
async with AsyncOpencode(
http_client=DefaultAioHttpClient(),
) as client:
sessions = await client.session.list()
asyncio.run(main())
```
## Streaming responses
We provide support for streaming responses using Server Side Events (SSE).
```python
from opencode_ai import Opencode
client = Opencode()
stream = client.event.list()
for events in stream:
print(events)
```
The async client uses the exact same interface.
```python
from opencode_ai import AsyncOpencode
client = AsyncOpencode()
stream = await client.event.list()
async for events in stream:
print(events)
```
## Using types
Nested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict). Responses are [Pydantic models](https://docs.pydantic.dev) which also provide helper methods for things like:
- Serializing back into JSON, `model.to_json()`
- Converting to a dictionary, `model.to_dict()`
Typed requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.
## Handling errors
When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `opencode_ai.APIConnectionError` is raised.
When the API returns a non-success status code (that is, 4xx or 5xx
response), a subclass of `opencode_ai.APIStatusError` is raised, containing `status_code` and `response` properties.
All errors inherit from `opencode_ai.APIError`.
```python
import opencode_ai
from opencode_ai import Opencode
client = Opencode()
try:
client.session.list()
except opencode_ai.APIConnectionError as e:
print("The server could not be reached")
print(e.__cause__) # an underlying Exception, likely raised within httpx.
except opencode_ai.RateLimitError as e:
print("A 429 status code was received; we should back off a bit.")
except opencode_ai.APIStatusError as e:
print("Another non-200-range status code was received")
print(e.status_code)
print(e.response)
```
Error codes are as follows:
| Status Code | Error Type |
| ----------- | -------------------------- |
| 400 | `BadRequestError` |
| 401 | `AuthenticationError` |
| 403 | `PermissionDeniedError` |
| 404 | `NotFoundError` |
| 422 | `UnprocessableEntityError` |
| 429 | `RateLimitError` |
| >=500 | `InternalServerError` |
| N/A | `APIConnectionError` |
### Retries
Certain errors are automatically retried 2 times by default, with a short exponential backoff.
Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
429 Rate Limit, and >=500 Internal errors are all retried by default.
You can use the `max_retries` option to configure or disable retry settings:
```python
from opencode_ai import Opencode
# Configure the default for all requests:
client = Opencode(
# default is 2
max_retries=0,
)
# Or, configure per-request:
client.with_options(max_retries=5).session.list()
```
### Timeouts
By default requests time out after 1 minute. You can configure this with a `timeout` option,
which accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/timeouts/#fine-tuning-the-configuration) object:
```python
from opencode_ai import Opencode
# Configure the default for all requests:
client = Opencode(
# 20 seconds (default is 1 minute)
timeout=20.0,
)
# More granular control:
client = Opencode(
timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)
# Override per-request:
client.with_options(timeout=5.0).session.list()
```
On timeout, an `APITimeoutError` is thrown.
Note that requests that time out are [retried twice by default](https://github.com/sst/opencode-sdk-python/tree/main/#retries).
## Advanced
### Logging
We use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.
You can enable logging by setting the environment variable `OPENCODE_LOG` to `info`.
```shell
$ export OPENCODE_LOG=info
```
Or to `debug` for more verbose logging.
### How to tell whether `None` means `null` or missing
In an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:
```py
if response.my_field is None:
if 'my_field' not in response.model_fields_set:
print('Got json like {}, without a "my_field" key present at all.')
else:
print('Got json like {"my_field": null}.')
```
### Accessing raw response data (e.g. headers)
The "raw" Response object can be accessed by prefixing `.with_raw_response.` to any HTTP method call, e.g.,
```py
from opencode_ai import Opencode
client = Opencode()
response = client.session.with_raw_response.list()
print(response.headers.get('X-My-Header'))
session = response.parse() # get the object that `session.list()` would have returned
print(session)
```
These methods return an [`APIResponse`](https://github.com/sst/opencode-sdk-python/tree/main/src/opencode_ai/_response.py) object.
The async client returns an [`AsyncAPIResponse`](https://github.com/sst/opencode-sdk-python/tree/main/src/opencode_ai/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
#### `.with_streaming_response`
The above interface eagerly reads the full response body when you make the request, which may not always be what you want.
To stream the response body, use `.with_streaming_response` instead, which requires a context manager and only reads the response body once you call `.read()`, `.text()`, `.json()`, `.iter_bytes()`, `.iter_text()`, `.iter_lines()` or `.parse()`. In the async client, these are async methods.
```python
with client.session.with_streaming_response.list() as response:
print(response.headers.get("X-My-Header"))
for line in response.iter_lines():
print(line)
```
The context manager is required so that the response will reliably be closed.
### Making custom/undocumented requests
This library is typed for convenient access to the documented API.
If you need to access undocumented endpoints, params, or response properties, the library can still be used.
#### Undocumented endpoints
To make requests to undocumented endpoints, you can make requests using `client.get`, `client.post`, and other
http verbs. Options on the client will be respected (such as retries) when making this request.
```py
import httpx
response = client.post(
"/foo",
cast_to=httpx.Response,
body={"my_param": True},
)
print(response.headers.get("x-foo"))
```
#### Undocumented request params
If you want to explicitly send an extra param, you can do so with the `extra_query`, `extra_body`, and `extra_headers` request
options.
#### Undocumented response properties
To access undocumented response properties, you can access the extra fields like `response.unknown_prop`. You
can also get all the extra fields on the Pydantic model as a dict with
[`response.model_extra`](https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_extra).
### Configuring the HTTP client
You can directly override the [httpx client](https://www.python-httpx.org/api/#client) to customize it for your use case, including:
- Support for [proxies](https://www.python-httpx.org/advanced/proxies/)
- Custom [transports](https://www.python-httpx.org/advanced/transports/)
- Additional [advanced](https://www.python-httpx.org/advanced/clients/) functionality
```python
import httpx
from opencode_ai import Opencode, DefaultHttpxClient
client = Opencode(
# Or use the `OPENCODE_BASE_URL` env var
base_url="http://my.test.server.example.com:8083",
http_client=DefaultHttpxClient(
proxy="http://my.test.proxy.example.com",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
```
You can also customize the client on a per-request basis by using `with_options()`:
```python
client.with_options(http_client=DefaultHttpxClient(...))
```
### Managing HTTP resources
By default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.
```py
from opencode_ai import Opencode
with Opencode() as client:
# make requests here
...
# HTTP client is now closed
```
## Versioning
This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:
1. Changes that only affect static types, without breaking runtime behavior.
2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_
3. Changes that we do not expect to impact the vast majority of users in practice.
We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
We are keen for your feedback; please open an [issue](https://www.github.com/sst/opencode-sdk-python/issues) with questions, bugs, or suggestions.
### Determining the installed version
If you've upgraded to the latest version but aren't seeing any new features you were expecting then your python environment is likely still using an older version.
You can determine the version that is being used at runtime with:
```py
import opencode_ai
print(opencode_ai.__version__)
```
## Requirements
Python 3.8 or higher.
## Contributing
See [the contributing documentation](https://github.com/sst/opencode-sdk-python/tree/main/./CONTRIBUTING.md).
Raw data
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"description": "# Opencode Python API library\n\n<!-- prettier-ignore -->\n[)](https://pypi.org/project/opencode-ai/)\n\nThe Opencode Python library provides convenient access to the Opencode REST API from any Python 3.8+\napplication. The library includes type definitions for all request params and response fields,\nand offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).\n\nIt is generated with [Stainless](https://www.stainless.com/).\n\n## Documentation\n\nThe REST API documentation can be found on [opencode.ai](https://opencode.ai/docs). The full API of this library can be found in [api.md](https://github.com/sst/opencode-sdk-python/tree/main/api.md).\n\n## Installation\n\n```sh\n# install from PyPI\npip install --pre opencode-ai\n```\n\n## Usage\n\nThe full API of this library can be found in [api.md](https://github.com/sst/opencode-sdk-python/tree/main/api.md).\n\n```python\nfrom opencode_ai import Opencode\n\nclient = Opencode()\n\nsessions = client.session.list()\n```\n\n## Async usage\n\nSimply import `AsyncOpencode` instead of `Opencode` and use `await` with each API call:\n\n```python\nimport asyncio\nfrom opencode_ai import AsyncOpencode\n\nclient = AsyncOpencode()\n\n\nasync def main() -> None:\n sessions = await client.session.list()\n\n\nasyncio.run(main())\n```\n\nFunctionality between the synchronous and asynchronous clients is otherwise identical.\n\n### With aiohttp\n\nBy default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.\n\nYou can enable this by installing `aiohttp`:\n\n```sh\n# install from PyPI\npip install --pre opencode-ai[aiohttp]\n```\n\nThen you can enable it by instantiating the client with `http_client=DefaultAioHttpClient()`:\n\n```python\nimport asyncio\nfrom opencode_ai import DefaultAioHttpClient\nfrom opencode_ai import AsyncOpencode\n\n\nasync def main() -> None:\n async with AsyncOpencode(\n http_client=DefaultAioHttpClient(),\n ) as client:\n sessions = await client.session.list()\n\n\nasyncio.run(main())\n```\n\n## Streaming responses\n\nWe provide support for streaming responses using Server Side Events (SSE).\n\n```python\nfrom opencode_ai import Opencode\n\nclient = Opencode()\n\nstream = client.event.list()\nfor events in stream:\n print(events)\n```\n\nThe async client uses the exact same interface.\n\n```python\nfrom opencode_ai import AsyncOpencode\n\nclient = AsyncOpencode()\n\nstream = await client.event.list()\nasync for events in stream:\n print(events)\n```\n\n## Using types\n\nNested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict). Responses are [Pydantic models](https://docs.pydantic.dev) which also provide helper methods for things like:\n\n- Serializing back into JSON, `model.to_json()`\n- Converting to a dictionary, `model.to_dict()`\n\nTyped requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.\n\n## Handling errors\n\nWhen the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `opencode_ai.APIConnectionError` is raised.\n\nWhen the API returns a non-success status code (that is, 4xx or 5xx\nresponse), a subclass of `opencode_ai.APIStatusError` is raised, containing `status_code` and `response` properties.\n\nAll errors inherit from `opencode_ai.APIError`.\n\n```python\nimport opencode_ai\nfrom opencode_ai import Opencode\n\nclient = Opencode()\n\ntry:\n client.session.list()\nexcept opencode_ai.APIConnectionError as e:\n print(\"The server could not be reached\")\n print(e.__cause__) # an underlying Exception, likely raised within httpx.\nexcept opencode_ai.RateLimitError as e:\n print(\"A 429 status code was received; we should back off a bit.\")\nexcept opencode_ai.APIStatusError as e:\n print(\"Another non-200-range status code was received\")\n print(e.status_code)\n print(e.response)\n```\n\nError codes are as follows:\n\n| Status Code | Error Type |\n| ----------- | -------------------------- |\n| 400 | `BadRequestError` |\n| 401 | `AuthenticationError` |\n| 403 | `PermissionDeniedError` |\n| 404 | `NotFoundError` |\n| 422 | `UnprocessableEntityError` |\n| 429 | `RateLimitError` |\n| >=500 | `InternalServerError` |\n| N/A | `APIConnectionError` |\n\n### Retries\n\nCertain errors are automatically retried 2 times by default, with a short exponential backoff.\nConnection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,\n429 Rate Limit, and >=500 Internal errors are all retried by default.\n\nYou can use the `max_retries` option to configure or disable retry settings:\n\n```python\nfrom opencode_ai import Opencode\n\n# Configure the default for all requests:\nclient = Opencode(\n # default is 2\n max_retries=0,\n)\n\n# Or, configure per-request:\nclient.with_options(max_retries=5).session.list()\n```\n\n### Timeouts\n\nBy default requests time out after 1 minute. You can configure this with a `timeout` option,\nwhich accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/timeouts/#fine-tuning-the-configuration) object:\n\n```python\nfrom opencode_ai import Opencode\n\n# Configure the default for all requests:\nclient = Opencode(\n # 20 seconds (default is 1 minute)\n timeout=20.0,\n)\n\n# More granular control:\nclient = Opencode(\n timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),\n)\n\n# Override per-request:\nclient.with_options(timeout=5.0).session.list()\n```\n\nOn timeout, an `APITimeoutError` is thrown.\n\nNote that requests that time out are [retried twice by default](https://github.com/sst/opencode-sdk-python/tree/main/#retries).\n\n## Advanced\n\n### Logging\n\nWe use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.\n\nYou can enable logging by setting the environment variable `OPENCODE_LOG` to `info`.\n\n```shell\n$ export OPENCODE_LOG=info\n```\n\nOr to `debug` for more verbose logging.\n\n### How to tell whether `None` means `null` or missing\n\nIn an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:\n\n```py\nif response.my_field is None:\n if 'my_field' not in response.model_fields_set:\n print('Got json like {}, without a \"my_field\" key present at all.')\n else:\n print('Got json like {\"my_field\": null}.')\n```\n\n### Accessing raw response data (e.g. headers)\n\nThe \"raw\" Response object can be accessed by prefixing `.with_raw_response.` to any HTTP method call, e.g.,\n\n```py\nfrom opencode_ai import Opencode\n\nclient = Opencode()\nresponse = client.session.with_raw_response.list()\nprint(response.headers.get('X-My-Header'))\n\nsession = response.parse() # get the object that `session.list()` would have returned\nprint(session)\n```\n\nThese methods return an [`APIResponse`](https://github.com/sst/opencode-sdk-python/tree/main/src/opencode_ai/_response.py) object.\n\nThe async client returns an [`AsyncAPIResponse`](https://github.com/sst/opencode-sdk-python/tree/main/src/opencode_ai/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.\n\n#### `.with_streaming_response`\n\nThe above interface eagerly reads the full response body when you make the request, which may not always be what you want.\n\nTo stream the response body, use `.with_streaming_response` instead, which requires a context manager and only reads the response body once you call `.read()`, `.text()`, `.json()`, `.iter_bytes()`, `.iter_text()`, `.iter_lines()` or `.parse()`. In the async client, these are async methods.\n\n```python\nwith client.session.with_streaming_response.list() as response:\n print(response.headers.get(\"X-My-Header\"))\n\n for line in response.iter_lines():\n print(line)\n```\n\nThe context manager is required so that the response will reliably be closed.\n\n### Making custom/undocumented requests\n\nThis library is typed for convenient access to the documented API.\n\nIf you need to access undocumented endpoints, params, or response properties, the library can still be used.\n\n#### Undocumented endpoints\n\nTo make requests to undocumented endpoints, you can make requests using `client.get`, `client.post`, and other\nhttp verbs. Options on the client will be respected (such as retries) when making this request.\n\n```py\nimport httpx\n\nresponse = client.post(\n \"/foo\",\n cast_to=httpx.Response,\n body={\"my_param\": True},\n)\n\nprint(response.headers.get(\"x-foo\"))\n```\n\n#### Undocumented request params\n\nIf you want to explicitly send an extra param, you can do so with the `extra_query`, `extra_body`, and `extra_headers` request\noptions.\n\n#### Undocumented response properties\n\nTo access undocumented response properties, you can access the extra fields like `response.unknown_prop`. You\ncan also get all the extra fields on the Pydantic model as a dict with\n[`response.model_extra`](https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_extra).\n\n### Configuring the HTTP client\n\nYou can directly override the [httpx client](https://www.python-httpx.org/api/#client) to customize it for your use case, including:\n\n- Support for [proxies](https://www.python-httpx.org/advanced/proxies/)\n- Custom [transports](https://www.python-httpx.org/advanced/transports/)\n- Additional [advanced](https://www.python-httpx.org/advanced/clients/) functionality\n\n```python\nimport httpx\nfrom opencode_ai import Opencode, DefaultHttpxClient\n\nclient = Opencode(\n # Or use the `OPENCODE_BASE_URL` env var\n base_url=\"http://my.test.server.example.com:8083\",\n http_client=DefaultHttpxClient(\n proxy=\"http://my.test.proxy.example.com\",\n transport=httpx.HTTPTransport(local_address=\"0.0.0.0\"),\n ),\n)\n```\n\nYou can also customize the client on a per-request basis by using `with_options()`:\n\n```python\nclient.with_options(http_client=DefaultHttpxClient(...))\n```\n\n### Managing HTTP resources\n\nBy default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.\n\n```py\nfrom opencode_ai import Opencode\n\nwith Opencode() as client:\n # make requests here\n ...\n\n# HTTP client is now closed\n```\n\n## Versioning\n\nThis package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:\n\n1. Changes that only affect static types, without breaking runtime behavior.\n2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_\n3. Changes that we do not expect to impact the vast majority of users in practice.\n\nWe take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.\n\nWe are keen for your feedback; please open an [issue](https://www.github.com/sst/opencode-sdk-python/issues) with questions, bugs, or suggestions.\n\n### Determining the installed version\n\nIf you've upgraded to the latest version but aren't seeing any new features you were expecting then your python environment is likely still using an older version.\n\nYou can determine the version that is being used at runtime with:\n\n```py\nimport opencode_ai\nprint(opencode_ai.__version__)\n```\n\n## Requirements\n\nPython 3.8 or higher.\n\n## Contributing\n\nSee [the contributing documentation](https://github.com/sst/opencode-sdk-python/tree/main/./CONTRIBUTING.md).\n",
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