mirror of
https://github.com/pydantic/pydantic-ai-harness.git
synced 2026-07-21 10:55:35 +00:00
feat: add ExaSearch web research capability
Research agents need search results that carry page text (so a source can be judged without a second fetch round-trip) and a way to read one URL in full. ExaSearch wraps the Exa API behind a small ExaClient protocol so the client can be configured or faked, caps page text per result to protect model context, and contributes skim-wide-then-dig research guidance. Closes #375 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Bill Easton
co-authored by
Claude Fable 5
Claude Fable 5
parent
73513a60bc
commit
1b0d1c3edc
@@ -29,6 +29,7 @@ Extras for specific capabilities:
|
||||
uv add "pydantic-ai-harness[codemode]" # CodeMode (adds the Monty sandbox)
|
||||
uv add "pydantic-ai-harness[dynamic-workflow]" # DynamicWorkflow (adds the Monty sandbox)
|
||||
uv add "pydantic-ai-harness[logfire]" # ManagedPrompt (Logfire-managed prompts)
|
||||
uv add "pydantic-ai-harness[exa]" # ExaSearch (web research via the Exa API)
|
||||
uv add "pydantic-ai-harness[acp]" # ACP (serve an agent to editors over the Agent Client Protocol)
|
||||
```
|
||||
|
||||
@@ -150,6 +151,7 @@ We studied leading coding agents, agent frameworks, and Claw-style assistants to
|
||||
| | **Shell** | Execute commands with allowlists, denylists, and timeouts | :white_check_mark: [Docs](pydantic_ai_harness/shell/) | [pydantic-ai-backend](https://github.com/vstorm-co/pydantic-ai-backend) (vstorm‑co) |
|
||||
| | **Repo context injection** | Auto-load CLAUDE.md/AGENTS.md and repo structure | :white_check_mark: [Docs](pydantic_ai_harness/context/) | [pydantic-deep](https://github.com/vstorm-co/pydantic-deepagents) (vstorm‑co) |
|
||||
| | **Docs lookup** | On-demand `read_pyai_docs` tool for Pydantic AI docs | :white_check_mark: [Docs](pydantic_ai_harness/docs/) | |
|
||||
| | **Web research** | Web search returning full page text, plus single-page retrieval, backed by [Exa](https://exa.ai) | :white_check_mark: [Docs](pydantic_ai_harness/exa/) | |
|
||||
| | **Verification loop** | Run tests after edits, auto-fix failures | :construction: [PR #169](https://github.com/pydantic/pydantic-ai-harness/pull/169) | |
|
||||
| **Editor integration** | **ACP** | Serve an agent to editors (Zed, etc.) over the [Agent Client Protocol](https://agentclientprotocol.com) -- streamed text, diff-rendered edits, tool approval | :white_check_mark: [Docs](pydantic_ai_harness/experimental/acp/) (experimental) | |
|
||||
| **Prompt management** | **Managed prompt** | Back an agent's instructions with a [Logfire](https://pydantic.dev/logfire)-managed prompt, editable without shipping code | :white_check_mark: [Docs](pydantic_ai_harness/logfire/) | |
|
||||
|
||||
@@ -0,0 +1,116 @@
|
||||
---
|
||||
title: Exa Search
|
||||
description: Give a Pydantic AI agent web research tools backed by the Exa search API -- search with page text and full-page retrieval, with output capped to fit model context.
|
||||
---
|
||||
|
||||
# Exa Search
|
||||
|
||||
`ExaSearch` gives an agent web research tools backed by the
|
||||
[Exa](https://exa.ai) search API: search that returns page text alongside each
|
||||
hit, and full-page retrieval for digging into a specific URL. Page text is
|
||||
capped per result so tool output fits the model's context.
|
||||
|
||||
[Source](https://github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness/exa/)
|
||||
|
||||
## The problem
|
||||
|
||||
Search tools that return only titles and snippets force a second round of
|
||||
fetching before the agent can judge a source. Wiring a search API together with
|
||||
a page fetcher, capping page text so tool output doesn't overwhelm the model's
|
||||
context, and prompting the agent to research methodically is boilerplate every
|
||||
research agent reinvents.
|
||||
|
||||
`ExaSearch` bundles that plumbing into a single
|
||||
[capability](/ai/core-concepts/capabilities/): two research tools, a per-result
|
||||
page-text cap, and short research guidance in the system prompt.
|
||||
|
||||
## Usage
|
||||
|
||||
Install the `exa` extra and set the `EXA_API_KEY` environment variable (create
|
||||
a key at <https://dashboard.exa.ai>):
|
||||
|
||||
```bash
|
||||
uv add "pydantic-ai-harness[exa]"
|
||||
```
|
||||
|
||||
Then pass `ExaSearch` to an `Agent` via the `capabilities` parameter:
|
||||
|
||||
```python
|
||||
from pydantic_ai import Agent
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
agent = Agent('anthropic:claude-sonnet-4-6', capabilities=[ExaSearch()])
|
||||
|
||||
result = agent.run_sync('What changed in the latest stable Python release?')
|
||||
print(result.output)
|
||||
```
|
||||
|
||||
## Tools
|
||||
|
||||
`ExaSearch` contributes two tools to the agent:
|
||||
|
||||
| Tool | Purpose |
|
||||
|---|---|
|
||||
| `web_search` | Search the web and return the top `num_results` pages, each with title, URL, and page text. |
|
||||
| `get_page` | Retrieve the text contents of one specific URL. |
|
||||
|
||||
Page text is capped at `max_text_chars` characters per result: the cap is sent
|
||||
to Exa as the contents limit and re-enforced when tool output is formatted, so
|
||||
text stays bounded even with a custom client. When text is cut, the **head** is
|
||||
kept (a page's lead carries the substance) and a
|
||||
`[... page text truncated at N characters]` marker is appended.
|
||||
|
||||
A URL that returns no content surfaces to the model as a
|
||||
[`ModelRetry`](/ai/tools-toolsets/tools-advanced/#tool-retries) rather than a
|
||||
hard error: the run continues and the model can correct the URL or pick another
|
||||
page.
|
||||
|
||||
## Instructions
|
||||
|
||||
`ExaSearch` contributes short research guidance to the system prompt: search
|
||||
wide with `web_search` first, read the most promising pages in full with
|
||||
`get_page` before drawing conclusions, prefer primary sources, and cite the
|
||||
URLs relied on.
|
||||
|
||||
## Configuration
|
||||
|
||||
Every field of `ExaSearch` with its default:
|
||||
|
||||
```python
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
ExaSearch(
|
||||
num_results=5, # results per web_search call
|
||||
max_text_chars=10_000, # page-text cap per result, in characters
|
||||
client=None, # ExaClient -- None builds exa_py.AsyncExa from EXA_API_KEY
|
||||
)
|
||||
```
|
||||
|
||||
## Custom client
|
||||
|
||||
The default client is `exa_py.AsyncExa`, configured from the `EXA_API_KEY`
|
||||
environment variable; when the variable is missing, construction fails with a
|
||||
setup hint. Pass any object satisfying the `ExaClient` protocol -- the subset of
|
||||
`AsyncExa` the toolset calls -- to configure authentication or the base URL
|
||||
explicitly, or to substitute a fake in tests:
|
||||
|
||||
```python
|
||||
from exa_py import AsyncExa
|
||||
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
ExaSearch(client=AsyncExa(api_key='...'))
|
||||
```
|
||||
|
||||
The API may change between releases while the capability settles; breaking
|
||||
changes ship deprecation warnings where practical.
|
||||
|
||||
## Further reading
|
||||
|
||||
- [Pydantic AI capabilities](/ai/core-concepts/capabilities/)
|
||||
- [Toolsets](/ai/tools-toolsets/toolsets/)
|
||||
- [Exa API documentation](https://docs.exa.ai)
|
||||
|
||||
## API reference
|
||||
|
||||
::: pydantic_ai_harness.exa.ExaSearch
|
||||
@@ -36,6 +36,7 @@ Some capabilities need an extra to pull in their optional dependencies:
|
||||
uv add "pydantic-ai-harness[codemode]" # Code Mode (adds the Monty sandbox)
|
||||
uv add "pydantic-ai-harness[dynamic-workflow]" # Dynamic Workflow (adds the Monty sandbox)
|
||||
uv add "pydantic-ai-harness[logfire]" # Managed Prompt (Logfire-managed prompts)
|
||||
uv add "pydantic-ai-harness[exa]" # Exa Search (web research via the Exa API)
|
||||
uv add "pydantic-ai-harness[acp]" # ACP (Agent Client Protocol SDK)
|
||||
```
|
||||
|
||||
@@ -116,6 +117,7 @@ Each capability is a self-contained battery you drop into an agent's `capabiliti
|
||||
| [Shell](shell.md) | Command execution in a subprocess rooted at a working directory, gated by allowlists, denylists, timeouts, and optional environment-variable stripping (including a preset for common LLM provider credentials). | -- |
|
||||
| [Context](context.md) | Auto-loads repo context -- `CLAUDE.md`/`AGENTS.md` and repository structure -- so the agent starts a run already oriented in the project. | -- |
|
||||
| [Pydantic AI Docs](pydantic-ai-docs.md) | An on-demand `read_pyai_docs` tool that pulls Pydantic AI documentation into the run when the agent needs it, instead of preloading it. | -- |
|
||||
| [Exa Search](exa-search.md) | Web research backed by the [Exa](https://exa.ai) search API: `web_search` returns results with page text and `get_page` reads a specific URL, with page text capped per result so tool output fits model context. | `exa` |
|
||||
| [Compaction](compaction.md) | Keeps a run within token limits: sliding-window trimming, LLM-powered summarization of older messages, and warnings before the context or iteration ceiling is hit. | -- |
|
||||
| [Overflowing Tool Output](overflowing-tool-output.md) | Reduces an oversized tool return when it is produced -- truncate, spill to a queryable file, or summarize -- so a large payload does not persist in history and get re-sent every request. | -- |
|
||||
| [Step Persistence](step-persistence.md) | Saves and restores full conversation state; snapshot, resume (`continue_run`), and fork (`fork_run`) a run. | -- |
|
||||
|
||||
@@ -8,6 +8,7 @@
|
||||
{ "label": "Shell", "slug": "shell" },
|
||||
{ "label": "Context", "slug": "context" },
|
||||
{ "label": "Pydantic AI Docs", "slug": "pydantic-ai-docs" },
|
||||
{ "label": "Exa Search", "slug": "exa-search" },
|
||||
{ "label": "Compaction", "slug": "compaction" },
|
||||
{ "label": "Overflowing Tool Output", "slug": "overflowing-tool-output" },
|
||||
{ "label": "Step Persistence", "slug": "step-persistence" },
|
||||
|
||||
@@ -0,0 +1,102 @@
|
||||
# Exa Search
|
||||
|
||||
Give an agent web research tools backed by the [Exa](https://exa.ai) search
|
||||
API: search that returns page text alongside each hit, and full-page retrieval
|
||||
for digging into a specific URL.
|
||||
|
||||
[Source](https://github.com/pydantic/pydantic-ai-harness/tree/main/pydantic_ai_harness/exa/)
|
||||
|
||||
## Installation
|
||||
|
||||
```bash
|
||||
uv add "pydantic-ai-harness[exa]"
|
||||
```
|
||||
|
||||
Set the `EXA_API_KEY` environment variable (create a key at
|
||||
<https://dashboard.exa.ai>), or pass a configured client (see
|
||||
[Custom client](#custom-client)).
|
||||
|
||||
## The problem
|
||||
|
||||
Search tools that return only titles and snippets force a second round of
|
||||
fetching before the agent can judge a source. Wiring a search API together with
|
||||
a page fetcher, capping page text so tool output doesn't overwhelm the model's
|
||||
context, and prompting the agent to research methodically is boilerplate every
|
||||
research agent reinvents.
|
||||
|
||||
## The solution
|
||||
|
||||
`ExaSearch` bundles both tools with output capping and short research guidance
|
||||
in the system prompt:
|
||||
|
||||
```python
|
||||
from pydantic_ai import Agent
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
agent = Agent('anthropic:claude-sonnet-4-6', capabilities=[ExaSearch()])
|
||||
|
||||
result = agent.run_sync('What changed in the latest stable Python release?')
|
||||
print(result.output)
|
||||
```
|
||||
|
||||
## Tools
|
||||
|
||||
| Tool | Purpose |
|
||||
|---|---|
|
||||
| `web_search` | Search the web and return the top `num_results` pages, each with title, URL, and page text. |
|
||||
| `get_page` | Retrieve the text contents of one specific URL. |
|
||||
|
||||
Page text is capped at `max_text_chars` characters per result: the cap is sent
|
||||
to Exa as the contents limit and re-enforced when tool output is formatted, so
|
||||
text stays bounded even with a custom client. When text is cut, the **head** is
|
||||
kept (a page's lead carries the substance) and a
|
||||
`[... page text truncated at N characters]` marker is appended.
|
||||
|
||||
A URL that returns no content surfaces to the model as a `ModelRetry` (the
|
||||
model can correct the URL or pick another page) rather than aborting the run.
|
||||
|
||||
## Instructions
|
||||
|
||||
`ExaSearch` contributes short research guidance to the system prompt: search
|
||||
wide with `web_search` first, read the most promising pages in full with
|
||||
`get_page` before drawing conclusions, prefer primary sources, and cite the
|
||||
URLs relied on.
|
||||
|
||||
## Configuration
|
||||
|
||||
Every field of `ExaSearch` with its default:
|
||||
|
||||
```python
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
ExaSearch(
|
||||
num_results=5, # results per web_search call
|
||||
max_text_chars=10_000, # page-text cap per result, in characters
|
||||
client=None, # ExaClient -- None builds exa_py.AsyncExa from EXA_API_KEY
|
||||
)
|
||||
```
|
||||
|
||||
## Custom client
|
||||
|
||||
The default client is `exa_py.AsyncExa`, configured from the `EXA_API_KEY`
|
||||
environment variable; when the variable is missing, construction fails with a
|
||||
setup hint. Pass any object satisfying the `ExaClient` protocol -- the subset of
|
||||
`AsyncExa` the toolset calls -- to configure authentication or the base URL
|
||||
explicitly, or to substitute a fake in tests:
|
||||
|
||||
```python
|
||||
from exa_py import AsyncExa
|
||||
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
ExaSearch(client=AsyncExa(api_key='...'))
|
||||
```
|
||||
|
||||
The API may change between releases while the capability settles; breaking
|
||||
changes ship deprecation warnings where practical.
|
||||
|
||||
## Further reading
|
||||
|
||||
- [Pydantic AI capabilities](https://ai.pydantic.dev/capabilities/)
|
||||
- [Toolsets](https://ai.pydantic.dev/toolsets/)
|
||||
- [Exa API documentation](https://docs.exa.ai)
|
||||
@@ -0,0 +1,6 @@
|
||||
"""Exa search capability: web search with page contents and full-page retrieval for agents."""
|
||||
|
||||
from pydantic_ai_harness.exa._capability import ExaSearch
|
||||
from pydantic_ai_harness.exa._toolset import ExaClient, ExaSearchToolset
|
||||
|
||||
__all__ = ['ExaClient', 'ExaSearch', 'ExaSearchToolset']
|
||||
@@ -0,0 +1,65 @@
|
||||
"""Exa search capability that gives an agent web research tools."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from pydantic_ai.capabilities import AbstractCapability
|
||||
from pydantic_ai.tools import AgentDepsT
|
||||
|
||||
from pydantic_ai_harness.exa._toolset import ExaClient, ExaSearchToolset
|
||||
|
||||
_INSTRUCTIONS = (
|
||||
'You have web research tools backed by the Exa search API. Start broad: use `web_search` '
|
||||
'to survey several sources on a topic, then use `get_page` to read the most promising '
|
||||
'URLs in full before drawing conclusions. Prefer primary sources, and cite the URLs of '
|
||||
'the pages you relied on in your answer.'
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class ExaSearch(AbstractCapability[AgentDepsT]):
|
||||
"""Web research for agents, backed by the [Exa](https://exa.ai) search API.
|
||||
|
||||
Adds two tools: `web_search`, which returns search results together with
|
||||
page text, and `get_page`, which retrieves the text of a specific URL.
|
||||
|
||||
```python
|
||||
from pydantic_ai import Agent
|
||||
from pydantic_ai_harness.exa import ExaSearch
|
||||
|
||||
agent = Agent('anthropic:claude-sonnet-4-6', capabilities=[ExaSearch()])
|
||||
```
|
||||
|
||||
Authentication comes from the `EXA_API_KEY` environment variable by
|
||||
default; pass `client` to configure it explicitly.
|
||||
"""
|
||||
|
||||
num_results: int = 5
|
||||
"""Number of results `web_search` returns per query."""
|
||||
|
||||
max_text_chars: int = 10_000
|
||||
"""Maximum characters of page text returned per result.
|
||||
|
||||
Sent to Exa as the contents cap and re-enforced when tool output is
|
||||
formatted, so page text stays bounded even with a custom `client`.
|
||||
"""
|
||||
|
||||
client: ExaClient | None = None
|
||||
"""Exa client to use; when `None`, an `exa_py.AsyncExa` is built from `EXA_API_KEY`.
|
||||
|
||||
Any object satisfying the `ExaClient` protocol works: use it to pass an API
|
||||
key explicitly, point at a different base URL, or substitute a fake in tests.
|
||||
"""
|
||||
|
||||
def get_instructions(self) -> str:
|
||||
"""Static research guidance: search wide, read the promising pages in full, cite URLs."""
|
||||
return _INSTRUCTIONS
|
||||
|
||||
def get_toolset(self) -> ExaSearchToolset[AgentDepsT]:
|
||||
"""Build the toolset providing the `web_search` and `get_page` tools."""
|
||||
return ExaSearchToolset[AgentDepsT](
|
||||
client=self.client,
|
||||
num_results=self.num_results,
|
||||
max_text_chars=self.max_text_chars,
|
||||
)
|
||||
@@ -0,0 +1,127 @@
|
||||
"""Exa toolset -- gives agents web search and page retrieval backed by the Exa API."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Protocol
|
||||
|
||||
from pydantic_ai.exceptions import ModelRetry, UserError
|
||||
from pydantic_ai.tools import AgentDepsT
|
||||
from pydantic_ai.toolsets import FunctionToolset
|
||||
|
||||
try:
|
||||
from exa_py import AsyncExa
|
||||
from exa_py.api import ContentsOptions, Result, SearchResponse, TextContentsOptions
|
||||
except ImportError as _import_error: # pragma: no cover
|
||||
raise ImportError(
|
||||
'exa-py is required for ExaSearch. Install it with: pip install "pydantic-ai-harness[exa]"'
|
||||
) from _import_error
|
||||
|
||||
|
||||
class ExaClient(Protocol):
|
||||
"""The subset of the `exa_py.AsyncExa` API that `ExaSearchToolset` calls.
|
||||
|
||||
Any object with these two methods can back the toolset. Pass one via
|
||||
`ExaSearch.client` to configure authentication or the base URL explicitly,
|
||||
or to substitute a fake in tests.
|
||||
|
||||
The parameter types mirror `AsyncExa`'s own signatures (including the
|
||||
`ContentsOptions` payload `exa_py` types `search` with), so a real
|
||||
`AsyncExa` instance satisfies the protocol as-is.
|
||||
"""
|
||||
|
||||
async def search(self, query: str, *, contents: ContentsOptions, num_results: int) -> SearchResponse[Result]:
|
||||
"""Search the web and return results with page contents."""
|
||||
... # pragma: no cover
|
||||
|
||||
async def get_contents(self, urls: str, *, text: TextContentsOptions) -> SearchResponse[Result]:
|
||||
"""Retrieve the contents of a specific URL."""
|
||||
... # pragma: no cover
|
||||
|
||||
|
||||
def _default_client() -> ExaClient:
|
||||
"""Build an `AsyncExa` client from the `EXA_API_KEY` environment variable."""
|
||||
try:
|
||||
return AsyncExa()
|
||||
except ValueError as error:
|
||||
raise UserError(
|
||||
'ExaSearch needs an Exa API key: set the EXA_API_KEY environment variable, '
|
||||
'or pass a configured client, e.g. ExaSearch(client=AsyncExa(api_key=...)).'
|
||||
) from error
|
||||
|
||||
|
||||
class ExaSearchToolset(FunctionToolset[AgentDepsT]):
|
||||
"""Gives an agent web research tools backed by the Exa search API.
|
||||
|
||||
`web_search` surveys the web and returns results together with page text,
|
||||
and `get_page` retrieves the text of one specific URL. Page text is capped
|
||||
at `max_text_chars` characters per result: the cap is sent to Exa as the
|
||||
contents limit and re-enforced when output is formatted, so text stays
|
||||
bounded even with a custom `client`.
|
||||
"""
|
||||
|
||||
def __init__(self, *, client: ExaClient | None, num_results: int, max_text_chars: int) -> None:
|
||||
super().__init__()
|
||||
self._client = client if client is not None else _default_client()
|
||||
self._num_results = num_results
|
||||
self._max_text_chars = max_text_chars
|
||||
self.add_function(self.web_search, name='web_search')
|
||||
self.add_function(self.get_page, name='get_page')
|
||||
|
||||
async def web_search(self, query: str) -> str:
|
||||
"""Search the web and return matching pages, each with its text content.
|
||||
|
||||
Args:
|
||||
query: The search query. Natural-language questions and keyword
|
||||
queries both work.
|
||||
|
||||
Returns:
|
||||
The matching pages, each with title, URL, and page text.
|
||||
"""
|
||||
response = await self._client.search(
|
||||
query,
|
||||
contents={'text': {'max_characters': self._max_text_chars}},
|
||||
num_results=self._num_results,
|
||||
)
|
||||
if not response.results:
|
||||
return f'No results found for {query!r}.'
|
||||
sections = [_format_result(result, self._max_text_chars) for result in response.results]
|
||||
plural = 's' if len(sections) != 1 else ''
|
||||
joined = '\n\n---\n\n'.join(sections)
|
||||
return f'Found {len(sections)} result{plural} for {query!r}:\n\n{joined}'
|
||||
|
||||
async def get_page(self, url: str) -> str:
|
||||
"""Retrieve the text contents of a specific URL.
|
||||
|
||||
Args:
|
||||
url: The URL of the page to read.
|
||||
|
||||
Returns:
|
||||
The page's title, URL, and text content.
|
||||
"""
|
||||
response = await self._client.get_contents(url, text={'max_characters': self._max_text_chars})
|
||||
if not response.results:
|
||||
raise ModelRetry(f'No content could be retrieved for {url!r}. Check the URL or try another page.')
|
||||
return _format_result(response.results[0], self._max_text_chars)
|
||||
|
||||
|
||||
def _format_result(result: Result, max_text_chars: int) -> str:
|
||||
"""Render one result as labelled metadata lines followed by the page text."""
|
||||
lines = [f'Title: {result.title or "(untitled)"}', f'URL: {result.url}']
|
||||
if result.published_date:
|
||||
lines.append(f'Published: {result.published_date}')
|
||||
if result.author:
|
||||
lines.append(f'Author: {result.author}')
|
||||
if result.text:
|
||||
lines.extend(['', _truncate(result.text, max_text_chars)])
|
||||
return '\n'.join(lines)
|
||||
|
||||
|
||||
def _truncate(text: str, max_chars: int) -> str:
|
||||
"""Cap page text at `max_chars`, keeping the head.
|
||||
|
||||
Unlike shell output, where errors land at the end, a page's lead carries
|
||||
the substance, so the head is kept and the tail dropped.
|
||||
"""
|
||||
if len(text) <= max_chars:
|
||||
return text
|
||||
return f'{text[:max_chars]}\n[... page text truncated at {max_chars} characters]'
|
||||
@@ -57,6 +57,9 @@ acp = [
|
||||
# The SDK breaks across minors, so cap per minor.
|
||||
"agent-client-protocol>=0.11,<0.12",
|
||||
]
|
||||
exa = [
|
||||
"exa-py>=2.16.0",
|
||||
]
|
||||
|
||||
[project.urls]
|
||||
Homepage = 'https://github.com/pydantic/pydantic-ai-harness'
|
||||
|
||||
@@ -0,0 +1,11 @@
|
||||
"""Shared collection rules for the Exa capability tests."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib.util
|
||||
|
||||
# The `exa-py` dependency is gated on the `exa` extra, so slim CI runs (no extras)
|
||||
# can't import these modules. Ignore them at collection. A conditional expression
|
||||
# rather than an `if` statement: branch coverage traces statement arcs, and no
|
||||
# single environment can take both arms of an install-dependent branch.
|
||||
collect_ignore = ['test_exa.py'] if importlib.util.find_spec('exa_py') is None else []
|
||||
@@ -0,0 +1,172 @@
|
||||
"""Tests for the ExaSearch capability and ExaSearchToolset."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
import pytest
|
||||
from exa_py.api import ContentsOptions, Result, SearchResponse, TextContentsOptions
|
||||
from pydantic_ai import Agent
|
||||
from pydantic_ai.exceptions import ModelRetry, UserError
|
||||
from pydantic_ai.messages import ModelRequest, ModelResponse, ToolCallPart, ToolReturnPart
|
||||
from pydantic_ai.models.test import TestModel
|
||||
|
||||
from pydantic_ai_harness.exa import ExaSearch, ExaSearchToolset
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def anyio_backend() -> str:
|
||||
"""Run async tests on the asyncio backend (matching upstream pydantic-ai)."""
|
||||
return 'asyncio'
|
||||
|
||||
|
||||
def _result(
|
||||
url: str = 'https://example.dev/page',
|
||||
*,
|
||||
title: str | None = 'Example page',
|
||||
text: str | None = 'Example page text.',
|
||||
author: str | None = None,
|
||||
published_date: str | None = None,
|
||||
) -> Result:
|
||||
"""A real `exa_py` result with the fields the toolset reads."""
|
||||
return Result(url=url, id=url, title=title, text=text, author=author, published_date=published_date)
|
||||
|
||||
|
||||
def _response(*results: Result) -> SearchResponse[Result]:
|
||||
"""A real `exa_py` response wrapping the given results."""
|
||||
return SearchResponse(results=list(results), resolved_search_type=None, auto_date=None)
|
||||
|
||||
|
||||
@dataclass
|
||||
class _FakeExaClient:
|
||||
"""In-memory `ExaClient` double: canned responses, recorded call arguments."""
|
||||
|
||||
search_response: SearchResponse[Result] = field(default_factory=_response)
|
||||
contents_response: SearchResponse[Result] = field(default_factory=_response)
|
||||
search_calls: list[tuple[str, ContentsOptions, int]] = field(default_factory=list[tuple[str, ContentsOptions, int]])
|
||||
get_contents_calls: list[tuple[str, TextContentsOptions]] = field(
|
||||
default_factory=list[tuple[str, TextContentsOptions]]
|
||||
)
|
||||
|
||||
async def search(self, query: str, *, contents: ContentsOptions, num_results: int) -> SearchResponse[Result]:
|
||||
self.search_calls.append((query, contents, num_results))
|
||||
return self.search_response
|
||||
|
||||
async def get_contents(self, urls: str, *, text: TextContentsOptions) -> SearchResponse[Result]:
|
||||
self.get_contents_calls.append((urls, text))
|
||||
return self.contents_response
|
||||
|
||||
|
||||
def _toolset(client: _FakeExaClient, *, num_results: int = 5, max_text_chars: int = 10_000) -> ExaSearchToolset[None]:
|
||||
return ExaSearch[None](num_results=num_results, max_text_chars=max_text_chars, client=client).get_toolset()
|
||||
|
||||
|
||||
class TestWebSearch:
|
||||
async def test_formats_results_with_metadata(self) -> None:
|
||||
client = _FakeExaClient(
|
||||
search_response=_response(
|
||||
_result('https://a.dev', title='A', text='alpha text', author='Ada', published_date='2026-07-01'),
|
||||
_result('https://b.dev', title=None, text=None),
|
||||
)
|
||||
)
|
||||
output = await _toolset(client).web_search('rust web frameworks')
|
||||
assert output == (
|
||||
"Found 2 results for 'rust web frameworks':\n\n"
|
||||
'Title: A\n'
|
||||
'URL: https://a.dev\n'
|
||||
'Published: 2026-07-01\n'
|
||||
'Author: Ada\n'
|
||||
'\n'
|
||||
'alpha text'
|
||||
'\n\n---\n\n'
|
||||
'Title: (untitled)\n'
|
||||
'URL: https://b.dev'
|
||||
)
|
||||
|
||||
async def test_passes_num_results_and_contents_cap_to_client(self) -> None:
|
||||
client = _FakeExaClient(search_response=_response(_result()))
|
||||
await _toolset(client, num_results=3, max_text_chars=42).web_search('q')
|
||||
assert client.search_calls == [('q', {'text': {'max_characters': 42}}, 3)]
|
||||
|
||||
async def test_no_results(self) -> None:
|
||||
client = _FakeExaClient()
|
||||
output = await _toolset(client).web_search('nothing to see')
|
||||
assert output == "No results found for 'nothing to see'."
|
||||
|
||||
async def test_text_at_cap_is_not_truncated(self) -> None:
|
||||
client = _FakeExaClient(search_response=_response(_result(title='T', text='x' * 10)))
|
||||
output = await _toolset(client, max_text_chars=10).web_search('q')
|
||||
assert output == f"Found 1 result for 'q':\n\nTitle: T\nURL: https://example.dev/page\n\n{'x' * 10}"
|
||||
|
||||
async def test_text_over_cap_is_truncated_keeping_the_head(self) -> None:
|
||||
client = _FakeExaClient(search_response=_response(_result(title='T', text='x' * 10 + 'TAIL')))
|
||||
output = await _toolset(client, max_text_chars=10).web_search('q')
|
||||
assert output == (
|
||||
f"Found 1 result for 'q':\n\nTitle: T\nURL: https://example.dev/page\n\n{'x' * 10}\n"
|
||||
'[... page text truncated at 10 characters]'
|
||||
)
|
||||
|
||||
|
||||
class TestGetPage:
|
||||
async def test_returns_page_text(self) -> None:
|
||||
client = _FakeExaClient(contents_response=_response(_result('https://a.dev', title='A', text='alpha text')))
|
||||
output = await _toolset(client).get_page('https://a.dev')
|
||||
assert client.get_contents_calls == [('https://a.dev', {'max_characters': 10_000})]
|
||||
assert output == 'Title: A\nURL: https://a.dev\n\nalpha text'
|
||||
|
||||
async def test_no_content_raises_model_retry(self) -> None:
|
||||
client = _FakeExaClient()
|
||||
with pytest.raises(ModelRetry, match='No content could be retrieved'):
|
||||
await _toolset(client).get_page('https://gone.dev')
|
||||
|
||||
|
||||
class TestExaSearch:
|
||||
def test_default_client_requires_api_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
monkeypatch.delenv('EXA_API_KEY', raising=False)
|
||||
with pytest.raises(UserError, match='EXA_API_KEY'):
|
||||
ExaSearch[None]().get_toolset()
|
||||
|
||||
def test_default_client_built_from_env(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
monkeypatch.setenv('EXA_API_KEY', 'test-key')
|
||||
toolset = ExaSearch[None]().get_toolset()
|
||||
assert isinstance(toolset, ExaSearchToolset)
|
||||
|
||||
def test_instructions_reference_the_tools(self) -> None:
|
||||
instructions = ExaSearch[None]().get_instructions()
|
||||
assert 'web_search' in instructions
|
||||
assert 'get_page' in instructions
|
||||
assert 'cite' in instructions
|
||||
|
||||
async def test_agent_run_uses_both_tools_and_instructions(self) -> None:
|
||||
client = _FakeExaClient(
|
||||
search_response=_response(_result('https://a.dev', title='A', text='alpha')),
|
||||
contents_response=_response(_result('https://b.dev', title='B', text='beta')),
|
||||
)
|
||||
agent = Agent(TestModel(), capabilities=[ExaSearch(client=client)])
|
||||
|
||||
result = await agent.run('Research something.')
|
||||
|
||||
messages = result.all_messages()
|
||||
first = messages[0]
|
||||
assert isinstance(first, ModelRequest)
|
||||
assert first.instructions is not None
|
||||
assert 'web_search' in first.instructions
|
||||
|
||||
calls = {
|
||||
part.tool_name: part.args_as_dict()
|
||||
for message in messages
|
||||
if isinstance(message, ModelResponse)
|
||||
for part in message.parts
|
||||
if isinstance(part, ToolCallPart)
|
||||
}
|
||||
returns = {
|
||||
part.tool_name: part.content
|
||||
for message in messages
|
||||
if isinstance(message, ModelRequest)
|
||||
for part in message.parts
|
||||
if isinstance(part, ToolReturnPart)
|
||||
}
|
||||
assert set(returns) == {'web_search', 'get_page'}
|
||||
query = calls['web_search']['query']
|
||||
assert returns['web_search'] == f'Found 1 result for {query!r}:\n\nTitle: A\nURL: https://a.dev\n\nalpha'
|
||||
assert returns['get_page'] == 'Title: B\nURL: https://b.dev\n\nbeta'
|
||||
@@ -118,6 +118,7 @@ _CAPABILITY_PAGE_META = {
|
||||
'memory.md': ('memory', 'Memory'),
|
||||
'context.md': ('context', 'Context'),
|
||||
'pydantic-ai-docs.md': ('docs', 'Pydantic AI Docs'),
|
||||
'exa-search.md': ('exa', 'Exa Search'),
|
||||
'compaction.md': ('compaction', 'Compaction'),
|
||||
'overflowing-tool-output.md': ('overflowing_tool_output', 'Overflowing Tool Output'),
|
||||
'step-persistence.md': ('step_persistence', 'Step Persistence'),
|
||||
|
||||
@@ -428,6 +428,33 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/8d/dbff05239043271dbeace563a7686212a3dd517864a35623fe4d4a64ca19/dirty_equals-0.11-py3-none-any.whl", hash = "sha256:b1d7093273fc2f9be12f443a8ead954ef6daaf6746fd42ef3a5616433ee85286", size = 28051, upload-time = "2025-11-17T01:51:22.849Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "distro"
|
||||
version = "1.9.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722, upload-time = "2023-12-24T09:54:32.31Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exa-py"
|
||||
version = "2.16.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpcore" },
|
||||
{ name = "httpx" },
|
||||
{ name = "openai" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "requests" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/68/a3/dabad8d3dbdb50d2ad49f426cc3e1fb47a0d0fd6ba10fbb27219c9bef684/exa_py-2.16.0.tar.gz", hash = "sha256:dce0db698720b1b7b39b58a1a17ad65fcc5969ee47f810cff5bcc836aeb0f777", size = 63530, upload-time = "2026-07-02T01:04:38.797Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/c8/69d100ed12f8493ab8b9d03bf20cd0080a3a60dec4abadb1782cc4f91969/exa_py-2.16.0-py3-none-any.whl", hash = "sha256:cf726f801d6e4be25f38275a6318b536445a92077450a11cb3d7e493ea77ecc2", size = 86866, upload-time = "2026-07-02T01:04:37.451Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
version = "1.3.1"
|
||||
@@ -649,6 +676,105 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/2c/4b209e9dd6700cea0c0e39d7e5e70e9f494f817a374174a823bd11561d31/inline_snapshot-0.33.0-py3-none-any.whl", hash = "sha256:76b8c2c5899d27d3d464d1160eb3b8eee179ba635bb80a8e5e93220f10b60207", size = 89625, upload-time = "2026-05-12T18:39:46.43Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jiter"
|
||||
version = "0.16.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/1d/1f/10936e16d8860c70698a1aa939a46aa0224813b782bce4e000e637da0b2d/jiter-0.16.0.tar.gz", hash = "sha256:7b24c3492c5f4f84a37946ad9cf504910cf6a782d6a4e0689b6673c5894b4a1c", size = 176431, upload-time = "2026-06-29T13:05:13.657Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/76/d8/b959609e44012a42b1f3e5ba98ea3b33c7e41e6d4b77cd8f00fd19b1d3ad/jiter-0.16.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c5fc4f8def331036a7b8e981b4347ebe409981edbc8308a5ea842b8c3614fa6c", size = 310082, upload-time = "2026-06-29T13:02:31.356Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c6/3d/4d7f5667ea0e0548534ba880b84bb3d12924fd133aa83ad6c6c80fca3d76/jiter-0.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5a71d0d2014c3275043e1170bf3d4e771493cb0dcf07be54c567155f4d8ee64b", size = 315643, upload-time = "2026-06-29T13:02:33.204Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9b/83/bed2dcb5c9f3e1ccfcbc67dda48265fe7d5ad0c9cadda5fe95f6e3b87f94/jiter-0.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:741eed508c233a76313a1c7b001f8f21b82f14327e9196ae8bd29a2cc164ae84", size = 341363, upload-time = "2026-06-29T13:02:34.853Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f4/2f/6bb3c3dda668ebc0445689c81a2b0f26a82b10843d67ed9c9b2c3edc177f/jiter-0.16.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3fb7bc819187b56dc48aa5c833aaf92257da8e07efdb9306156667bd2eeb491c", size = 365483, upload-time = "2026-06-29T13:02:36.295Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/35/8a045ccb39164e70dcdae696413b661771f148b68b12b175c3a04d901937/jiter-0.16.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7c9610fd25ebccb43fca584136f5c2fbb26802447eccd430dfdbab95a0fd5126", size = 461219, upload-time = "2026-06-29T13:02:38.116Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e7/99/22292dbbf0ed0c610cfe5ddc7f3bd67237a412f121318f865196e62a07bd/jiter-0.16.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4a1d68ff7ca1d3b5dee20a97a3decda7d5f15003823bf6d140c81f8561d3bc5c", size = 374905, upload-time = "2026-06-29T13:02:40.357Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/29/ac/2f55ccb1f0eeafa6d89d24caf52f6f0944a59290ee199e9ade62177dca42/jiter-0.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb08c276dd02dac3a284acdd02cacc630d2e3cd6572a4b85519f35cbd133c3de", size = 348320, upload-time = "2026-06-29T13:02:41.923Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/50/e3/7d88b9174c40064fabc07c84a9b62e6b10f5644562ec0e0a29392edbe978/jiter-0.16.0-cp310-cp310-manylinux_2_31_riscv64.whl", hash = "sha256:8fc4d94713c4697347e38faf7d6ef91547c142219bdcfc7220c4870879974244", size = 356519, upload-time = "2026-06-29T13:02:43.436Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/27/57/c4a33aeef513a9d5e26e31534e0bcc752d6ea0e54c94ddb7b68bade669c2/jiter-0.16.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1a0f05e229edb29e68cdd0ccb83cea13b64263416120cf943767a6fd72e6787f", size = 394204, upload-time = "2026-06-29T13:02:44.987Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9d/70/c6c23e76ebb3766b111bc399437bbc9f870a76e2a92e10b2a5f561d57372/jiter-0.16.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:2c842cbf374a8daf50b2c04212995bee34ca2ac2cdc29a901b4cdb072c9c4131", size = 521477, upload-time = "2026-06-29T13:02:46.724Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2a/d3/0001c8c0c5976af2625bb1cfb1895e8ec693b6589fe4574b8e6fc2c85501/jiter-0.16.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5ed466aee31294d7cdcd4d37dfe5c42c97bc29d9a5f00eacf24504358309cb9b", size = 552187, upload-time = "2026-06-29T13:02:48.144Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f6/76/311b718e07e85740e48619c0632b36f7e0b8d113984499e436452ed13a9a/jiter-0.16.0-cp310-cp310-win32.whl", hash = "sha256:b42e9ff5376819c053da25809a8d4b6fa6e473b4856ebe42e298ac958be3d7f9", size = 206513, upload-time = "2026-06-29T13:02:49.515Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/db/7f/ac680eeb0777dc0eb7dc824800ba27880d7f6bc712e362d34ad8ee559f36/jiter-0.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:10438939205546132189c8e74a2d536a707841f3a25cd7c74ee91fe503407a26", size = 199505, upload-time = "2026-06-29T13:02:50.829Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/3f/fae6cc967d120ec89e31c5418a51176d8278b3087fbb384a9176754f353c/jiter-0.16.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:67fddeda1688f0cce2d2ae83ccf8a80f79936f2d2997d6cc2261f82fdb54a4d3", size = 309289, upload-time = "2026-06-29T13:02:52.301Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/e3/97c6c3562c077f6247d6e6ce5c82562500b6316c0d928e97e106b7a1321a/jiter-0.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c90c0f63df322be920eda6ce622e3083d8906ba267f8220fe7873213b8b4430e", size = 315181, upload-time = "2026-06-29T13:02:53.964Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/89/d8d073f8aa2667e46c6c0873f86fe4a512bba4293cc730f626a076211a62/jiter-0.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64c0203212098470032aabcde9356fc168f377aade3e43def61dfe17e92f2037", size = 340939, upload-time = "2026-06-29T13:02:55.412Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/c9/db4fda3ed73fb864139305e935e5b8b38a5a24692a5a9dd356c22f1b9c8d/jiter-0.16.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:12288303c9844e61e1651d02a9a6f6633e47d39f897d6991d1427161ce6b746e", size = 364932, upload-time = "2026-06-29T13:02:57.28Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a2/74/52b5e86241057f52ddd7c9a580f90effb51f9d06239f6fc612279b91a838/jiter-0.16.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5cf109d010b4b05a105afb3d43be36a21322d345ad3111e13d15f680afef0e5b", size = 461132, upload-time = "2026-06-29T13:02:58.994Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a9/87/544a700f7447c1f31c5d7833821a4daa5683165c2d5a094fbf5b5800c3dc/jiter-0.16.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:62c1b7fe1f77925acf5af68b6140b8810fa87dfd4dc0a9c8568ec2fa2a10429c", size = 374857, upload-time = "2026-06-29T13:03:00.455Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/40/cd/0fcc3f7d39183674d5bfa9ec640faaeb506c60be7c8f94625dfba366e37c/jiter-0.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8597d23c87f59294f83bcb6229b9ed1fccee13dbba967b46930d2f1759466fee", size = 347053, upload-time = "2026-06-29T13:03:02.045Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5c/ae/c7e64e7932ad597fa395b61440b249ada6366716e25c6e08dd2afbd021e6/jiter-0.16.0-cp311-cp311-manylinux_2_31_riscv64.whl", hash = "sha256:3126a5dbad56401989ac769aca0cb56005bfb3e2366eea0ca99d1a91c3c1ee03", size = 356153, upload-time = "2026-06-29T13:03:03.706Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/1c/1c719044f14da814e1a060191ab19b96f3e99207bc5b4bfc6d6be34b3f80/jiter-0.16.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c4b4717bdb35ae456f831a6b08d01880fff399887a6bbc526a583a406e484eea", size = 393956, upload-time = "2026-06-29T13:03:05.165Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/dc/7b2f303a2847207e265503853a2d964a55354cffd62a5f2936c155486798/jiter-0.16.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:adff21bc78edfe086c15eb495b900306076de378dc2337c132401fc39bd79c91", size = 521081, upload-time = "2026-06-29T13:03:06.886Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/5f/501cf6e1e09caeb420195179ffc6f62aca603f1220ec53fd80d0d70b3e56/jiter-0.16.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dab907db06fc593645e73109acf4581ba5b548897d28b9348dc41ddc8343b2d3", size = 552085, upload-time = "2026-06-29T13:03:08.339Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/79/54/aa5be86520113b79455c3877f3d1f07a348098df4083ba3688e9537e52dd/jiter-0.16.0-cp311-cp311-win32.whl", hash = "sha256:560b2cf3fb03240cd34f27409a238547488708f05b7c3924f571a60422251ec7", size = 206755, upload-time = "2026-06-29T13:03:09.653Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/64/ec/2feb893eb330bd69b413866f4d5daada33c3962f1c6f270c91ca2d87fdf9/jiter-0.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:e431cfc9caf44c1d5459ff77d4e64cbf85fddb6a35dad836a15c6a9ec23087c1", size = 199155, upload-time = "2026-06-29T13:03:10.979Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b9/9c/ca040d94415048a3666fc237774df8151c96f8d2b661cbe3b184acc95876/jiter-0.16.0-cp311-cp311-win_arm64.whl", hash = "sha256:2a8e9e39cf083016137aa5cadafe3188adc2ba6ba1fbf1e5d18889ad3e9ad056", size = 194403, upload-time = "2026-06-29T13:03:12.341Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/83/2b/52ace16ed031354f0539749a49e4bf33797d82bea5137910835fa4b09793/jiter-0.16.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:67c3bc1760f8c99d805dcab4e644027142a53b1d5d861f18780ebdbd5d40b72a", size = 306943, upload-time = "2026-06-29T13:03:14.035Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/94/2e/34957c2c1b661c252ba9bcc60ae0bddc27e0f7202c6073326a13c5390eec/jiter-0.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5af7780e4a26bd7d0d989592bf9ef12ebf806b74ab709223ecca37c749872ea9", size = 307779, upload-time = "2026-06-29T13:03:15.418Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/88/6c/59bd309cab4460c54cf1079f3eb7fe7af6a4c895c5c957a53378693bad2b/jiter-0.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5bf78d0e05e45cfdd66558893938d59afe3d1b1a824a202039b20e607d25a72", size = 335826, upload-time = "2026-06-29T13:03:17.11Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/8c/f5ef7b65f0df47afa16596969defb281ebb86e96df346d62be6fd853d620/jiter-0.16.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f4444a83f946605990c98f625cdd3d2725bfb818158760c5748c653170a20e0e", size = 362573, upload-time = "2026-06-29T13:03:18.781Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2b/0b/ace4354da061ee38844a0c27dc2c21eecd27aea119e8da324bea987522d0/jiter-0.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3a23f0e4f957e1be65752d2dfac9a5a06b1917af8dc85deb639c3b9d02e31290", size = 457979, upload-time = "2026-06-29T13:03:20.293Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/55/40/c0253d3772eb9dcd8e6606ee9b2d53ec8e5b814589c47f140aa585f21eaa/jiter-0.16.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c22a488f7b9218e245a0025a9ba6b100e2e54700831cf4cf16833a27fba3ad01", size = 372302, upload-time = "2026-06-29T13:03:21.739Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/d2/4839422241aa12860ce597b20068727094ba0bc480723c74924ca5bad483/jiter-0.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46add52f4ad47a08bfb1219f3e673da972191489a33016edefdb5ea55bfa8c48", size = 343805, upload-time = "2026-06-29T13:03:23.384Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/59/e196888a05befdda7dbe299b722d56f2f6eec65402bc34c0a3306d595feb/jiter-0.16.0-cp312-cp312-manylinux_2_31_riscv64.whl", hash = "sha256:9c8a956fd72c2cf1e730d01ea080341f13aa0a97a4a33b51abebe725b7ae9ca9", size = 351107, upload-time = "2026-06-29T13:03:24.815Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/74/4cd9e0fca65232136400354b630fbfcd2de634e22ccbb96567725981b548/jiter-0.16.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:561926e0573ffe4a32498420a76d64b16c513e1ab413b9d28158a8764ac701e5", size = 388441, upload-time = "2026-06-29T13:03:26.266Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/8c/554691e48bc711299c0a293dd8a6179e24b2d66a54dc295421fcf64569c0/jiter-0.16.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:44d019fa8cdaf89bf29c71b39e3712143fdd0ac76725c6ef954f9957a5ea8730", size = 516354, upload-time = "2026-06-29T13:03:28.02Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/cb/01e9d69dc2cc6759d4f91e230b34489c4fdb2518992650633f9e20bece89/jiter-0.16.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0df91907609837f33341b8e6fe73b95991fdaa57caf1a0fbd343dffe826f386f", size = 547880, upload-time = "2026-06-29T13:03:29.534Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/79/70/2953195f1c6ad00f49fa67e13df7e60acb3dd4f387101bc15abccddd905e/jiter-0.16.0-cp312-cp312-win32.whl", hash = "sha256:51d7b836acb0108d7c77df1742332cac2a1fa04a74d6dacec46e7091f0e91274", size = 203473, upload-time = "2026-06-29T13:03:31.025Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2d/05/2909a8b10699a4d560f8c502b6b2c5f3991b682b1922c1eedda242b225bd/jiter-0.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:1878349266f8ee36ecb1375cc5ba2f115f35fd9f0a1a4119e725e379126647f7", size = 196905, upload-time = "2026-06-29T13:03:32.472Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/a9/6b82bb1c8d7790d602489b967b982a909e5d092875a6c2ade96444c8dfc5/jiter-0.16.0-cp312-cp312-win_arm64.whl", hash = "sha256:2ed5738ae4af18271a51a528b8811b0cbfa4a1858de9d83359e4169855d6a331", size = 190618, upload-time = "2026-06-29T13:03:34.672Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/c0/555fc60473d30d66894ba825e63615e3be7524fac23858356afa7a38906c/jiter-0.16.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:41977aa5654023948c2dae2a81cbf9c43343954bef1cd59a154dd15a4d84c195", size = 306203, upload-time = "2026-06-29T13:03:36.243Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d0/2b/c3eaf16f5d7c9bad66ea32f40a95bd169b29a91217fcc7f081375157e99c/jiter-0.16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d28bb3c26762358dadf3e5bf0bccd29ae987d65e6988d2e6f49829c76b003c09", size = 306489, upload-time = "2026-06-29T13:03:37.846Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/96/3f/02fdfc6705cad96127d883af5c34e4867f554f29ec7705ec1a46156400a9/jiter-0.16.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0542a7189c26920778658fc8fcf2af8bae05bae9924577f71804acef37996536", size = 335453, upload-time = "2026-06-29T13:03:39.221Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b2/a6/e4bda5920d4b0d7c5dfb7174ce4a6b2e4d3e11c9162c452ef0eab4cdbdbd/jiter-0.16.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8fb8de1e23a0cb2a7f53c335049c7b72b6db41aa6227cdcc0972a1de5cb39450", size = 361625, upload-time = "2026-06-29T13:03:40.597Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/97/4e6b59b2c6e55cbb3e183595f81ad65dcfb21c915fee5e19e335df21bc55/jiter-0.16.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b72d0b2990ca754a9102779ac98d8597b7cb31678958562214a007f909eab78e", size = 456958, upload-time = "2026-06-29T13:03:42.074Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/e0/97e9557686d2f94f4b93786eccb7eed28e9228ad132ea8237f44727314a7/jiter-0.16.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5f91b1c27fc22a57993d5a5cb8a627cb8ed4b10502716fac1ffbfe1d19d84e8", size = 372017, upload-time = "2026-06-29T13:03:43.658Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/94/db768b6938e0df35c86beeba3dfbbb025c9ee5c19e1aa271f2396e50864d/jiter-0.16.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c682bea068a90b764577bdb78a60a4c1d1606daf9cd4c893832a37c7cc9d9026", size = 343320, upload-time = "2026-06-29T13:03:45.226Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c1/d6/5a59d938244a30735fe62d9433fd325f9021ea29d89780ea4596ea93bc89/jiter-0.16.0-cp313-cp313-manylinux_2_31_riscv64.whl", hash = "sha256:8d031aabecc4f1b6276adfb42e3aabb77c89d468bf616600e8d3a11328929053", size = 350520, upload-time = "2026-06-29T13:03:46.671Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/67/f8/c4a857f49c9af125f6bbcac7e3eee7f7978ed89682833062e2dbf62576b1/jiter-0.16.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eab2cd170150e70153de16896a1774e3a1dca80154c56b54d7a812c479a7165e", size = 387550, upload-time = "2026-06-29T13:03:48.361Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8b/d6/5fbc2f7d6b67b754caa61a993a2e626e815dec47ffc2f9e35f01adfebec7/jiter-0.16.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:6edb63a46e65a82c26800a868e49b2cac30dd5a4218b88d74bc2c848c8ad60bb", size = 515424, upload-time = "2026-06-29T13:03:49.881Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ed/54/284f0164b64a5fed915fea6ba7e9ba9b3d8d37c67d59cf2e3bb99d45cdfe/jiter-0.16.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:659039cc50b5addcc35fcc87ae2c1833b7c0a8e5326ef631a75e4478447bcf84", size = 546981, upload-time = "2026-06-29T13:03:51.363Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/13/c5/2a467585a576594384e1d2c43e1224deaafc085f24e243529cf98beef8e1/jiter-0.16.0-cp313-cp313-win32.whl", hash = "sha256:c9c53be232c2e206ef9cdbad81a48bfa74c3d3f08bcf8124630a8a748aad993e", size = 202853, upload-time = "2026-06-29T13:03:53.015Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/88/6a/de61d04b9eec69c71719968d2f716532a3bc121170c44a39e14979c6be81/jiter-0.16.0-cp313-cp313-win_amd64.whl", hash = "sha256:baad945ed47f163ad833314f8e3288c396118934f94e7bbb9e243ce4b341a4fd", size = 196160, upload-time = "2026-06-29T13:03:54.447Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/19/4b/b390ed59bafb3f31d008d1218578f10327714484b334439947f7e5b11e7f/jiter-0.16.0-cp313-cp313-win_arm64.whl", hash = "sha256:3c1fd2dbe1b0af19e987f03fe66c5f5bd105a2229c1aff4ab14890b24f41d21a", size = 189862, upload-time = "2026-06-29T13:03:55.754Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a7/89/bc4f1b57d5da938fd344a466396541e586d161320d70bffd929aaafcd8f4/jiter-0.16.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:b2c61484666ad42726029af0c00ef4541f0f3b5cdc550221f56c2343208018ee", size = 308239, upload-time = "2026-06-29T13:03:57.205Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/65/7a/c415453e5213001bf3b411ff65dec3d303b0e76a4a2cfea9768cd4960994/jiter-0.16.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:63efadc657488f45db1c676d81e704cac2abf3fdb892def1faea61db053127e2", size = 308928, upload-time = "2026-06-29T13:03:58.643Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/fc/1f4fb7ebf9a724c7741994f4aae18fba1e2f3133df14521a79194952c34a/jiter-0.16.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf0d73f50e7b6935677854f6e8e31d499ca7064dd24734f703e060f5b237d883", size = 336998, upload-time = "2026-06-29T13:04:00.071Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/8d/72cadaac05ccfa7cc3a0a2232862e6c72443ca40cf300ba8b57f9f18b69b/jiter-0.16.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bf3ea07d9bc8e7d03a9fbc051295462e6dbc295b894fd72457c3136e3e43d898", size = 362112, upload-time = "2026-06-29T13:04:01.52Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/58/4a/c4b0d5f651fda90a24ffce9f8d56cde462a2e09d31ae3de3c68cef34c04e/jiter-0.16.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:26798522707abb47d767db536e4148ceac1b14446bf028ee85e579a2e043cfe5", size = 459807, upload-time = "2026-06-29T13:04:03.214Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/80/58/ef77879ea9aa56b50824edc5a445e226422c7a8d211f3fd2a56bcb9493cf/jiter-0.16.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bc837c1b9631be10abfe0191537fe8009838204cec7e44827401ace390ddb567", size = 373181, upload-time = "2026-06-29T13:04:04.629Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/2e/ffbc3f254e4d8a66da3062c624a7df4b7c2b2cf9e1fe43cf394b3e104041/jiter-0.16.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49060fd70737fad59d33ba9dcc0d83247dc9e77187de26053a19c16c9f32bd69", size = 344927, upload-time = "2026-06-29T13:04:06.067Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9a/f6/0be5dc6d64a89f80aa8fec984f94dedb2973e251edcae55841d60786d578/jiter-0.16.0-cp314-cp314-manylinux_2_31_riscv64.whl", hash = "sha256:adbb8edeadd431bc4477879d5d371ece7cb1334486584e0f252656dd7ffada29", size = 352754, upload-time = "2026-06-29T13:04:07.477Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/da/6e/7d31243b3b91cd261dd19e9d3557fc3251a80883d3d8049c86174e7ab7af/jiter-0.16.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:31aaee5b80f672c1dc21272bcfb9cbdcfc1ea04ff50f00ed5af500b80c44fa93", size = 390553, upload-time = "2026-06-29T13:04:08.92Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/25/33/51ae371fde3c88897520f62b4d5f8b27ad7103e2bb10812ff52195609853/jiter-0.16.0-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:6722bcef4ffc86c835574b1b2fac6b33b9fb4a889c781e67950e891591f3c55a", size = 516900, upload-time = "2026-06-29T13:04:10.407Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/45/6449b3d123ea439ba79507c657288f461d55049e7bcbdc2cf8eb8210f491/jiter-0.16.0-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:5ab4f50ff971b611d656554ea10b75f80097392c827bc32923c6eeb6386c8b00", size = 548754, upload-time = "2026-06-29T13:04:12.046Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9b/e7/fd2fb11ae3e2649333da3aa170d04d7b3000bbdc3b270f6513382fdf4e04/jiter-0.16.0-cp314-cp314-pyemscripten_2026_0_wasm32.whl", hash = "sha256:710cc51d4ebdcd3c1f70b232c1db1ea1344a075770422bbd4bede5708335acbe", size = 122381, upload-time = "2026-06-29T13:04:13.413Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/26/80/f0b147a62c315a164ed2168908286ca302310824c218d3aae52b06c0c9a9/jiter-0.16.0-cp314-cp314-win32.whl", hash = "sha256:57b37fc887a32d44798e4d8ebfa7c9683ff3da1d5bf38f08d1bb3573ccb39106", size = 204578, upload-time = "2026-06-29T13:04:14.813Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5e/e6/4758a14304b4523a6f5adb2419340086aa3593bd4327c2b25b5948a90548/jiter-0.16.0-cp314-cp314-win_amd64.whl", hash = "sha256:cbd18dd5e2df96b580487b5745adf57ef64ad89ba2d9662fc3c19386acce7db8", size = 198154, upload-time = "2026-06-29T13:04:16.272Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/26/be/41fa54a2e7ea41d6c99f1dc5b1f0fd4cb474680304b5d268dd518e81da3a/jiter-0.16.0-cp314-cp314-win_arm64.whl", hash = "sha256:a32d2027a9fa67f109ff245a3252ece3ccc32cc56703e1deab6cc846a59e0585", size = 191458, upload-time = "2026-06-29T13:04:17.707Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/81/6b/59127338b86d9fe4d99418f5a15118bea778103ee0fe9d9dd7e0af174e95/jiter-0.16.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:2577196f4474ef3fc4779a088a23b0897bbf86f9ea3679c372d45b8383b43207", size = 316739, upload-time = "2026-06-29T13:04:19.663Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2d/95/49461034d5388196d3dabf98748935f017b7785d8f3f5349f834bcc4ed0d/jiter-0.16.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e89e008a93c01104161c75b4988e58716b01d62307ebfe161e52a56d2a818", size = 340911, upload-time = "2026-06-29T13:04:21.257Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/97/a4369f2fb82cb3dda13b98622f31249b2e014b223fe64ee534413ad72294/jiter-0.16.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2e9efbe042210df657bade597f66d6d75723e3d8f45a12ea6d8167ff8bbce3", size = 361747, upload-time = "2026-06-29T13:04:22.677Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/28/51/49b6ed456261646e1906016a6760367a28aacd3c24805e4e5fe64116c1db/jiter-0.16.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f4d9e473a5ce7d27fef8b848df4dc16e283893d3f53b4a585e72c9595f3c284", size = 460225, upload-time = "2026-06-29T13:04:24.441Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/33/b5/5689aff4f66c5b60be63106e591dbfcba2190df97d2c9c7cf052361ddb98/jiter-0.16.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d30a4a1c87713060c8d1cc59a7b6c8fb6b8ef0a6900368014c76c87922a2929", size = 373169, upload-time = "2026-06-29T13:04:25.884Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a2/96/3ae1b85ee0d6d6cab254fb7f8da018272b932bbf2d69b07e98aa2a96c746/jiter-0.16.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bae96332410f866e5900d809298b1ed82735932986c672495f9701daacd80620", size = 350332, upload-time = "2026-06-29T13:04:27.302Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/32/c99d7bafd78986556c95bf60ce84c6cc98786eac56066c12d7f828bb6747/jiter-0.16.0-cp314-cp314t-manylinux_2_31_riscv64.whl", hash = "sha256:da3d7ec75dc83bb18bca888b5edfae0656a26849056c59e05a7728badd17e7af", size = 353377, upload-time = "2026-06-29T13:04:28.731Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/4b/f99a8e571287c3dec766bcc18528bbe8e8fb5365522ab5e6d64c93e87066/jiter-0.16.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ee6162b77d49a9939229df666dfa8af3e656b6701b54c4c84966d740e189264e", size = 387746, upload-time = "2026-06-29T13:04:30.319Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/75/69/c78a5b3f71040e34eb5917df26fb7ae9a2174cad1ccbf277512507c53a6e/jiter-0.16.0-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:63ffdbdae7d4499f4cda14eadc12ddcabef0fc0c081191bdc2247489cb698077", size = 517292, upload-time = "2026-06-29T13:04:31.709Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/f7/095b38eda4c70d03651c403f29a5590f16d12ddc5d544aac9f9cddf72277/jiter-0.16.0-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:a111256a7193bea0759267b10385e5870949c239ed7b6ddbaaf57573edb38734", size = 549259, upload-time = "2026-06-29T13:04:33.721Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/c5/6a0207d90e5f656d95af98ebd0934f382d37674416f215aeda2ff8063e51/jiter-0.16.0-cp314-cp314t-win32.whl", hash = "sha256:de5ba8763e56b793561f43bed197c9ea55776daa5e9a6b91eed68a909bc9cdbf", size = 206523, upload-time = "2026-06-29T13:04:35.068Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a5/31/c757d5f30a8980fd945ce7b98be10be9e4ff59c7c42f5fd86804c2e87db8/jiter-0.16.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b8a3f9a6008048fe9def7bf465180564a6e458047d2ce499149cfbe73c3ae9db", size = 200366, upload-time = "2026-06-29T13:04:36.61Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7c/a2/d88de6d313d734a544a7901353ad5db67cb38dcfcd91713b7979dafc345d/jiter-0.16.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0fa25b09b13075c46f5bc174f2690525a925a4fc2f7c82969a2bbabff22386ce", size = 190516, upload-time = "2026-06-29T13:04:38.004Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/06/d3/8e278946d43eeca2585b4dd0834a887cd71136329b837f3a16ed86a8b4b0/jiter-0.16.0-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:850ccb1d7eedb4200f4014b1c0e8a577de114fc3cd88faad646dcc9bc4bb12ad", size = 304518, upload-time = "2026-06-29T13:05:00.172Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/72/43/28d4ef495028bf0506a413d4db3f4eb3e7288a382e0f065f306a17bbeb5e/jiter-0.16.0-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:e34e97bda77eb63242a410243c071e28ac7e0d8c0948c5ee658498690a4b2f2f", size = 310207, upload-time = "2026-06-29T13:05:02.123Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e0/ca/c366b1012da1d640de975d9683acd44e4d150d9068845d0ca2610435253f/jiter-0.16.0-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7dc85ea77d4abbae8bad0d3538678aedee75bceec4e2f6c8dfb1c74772e5aa5", size = 342771, upload-time = "2026-06-29T13:05:03.55Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/52/50cc4056fc1ae02e7154704e7ecc89df0afb8300222cfe8a52d3f67e4730/jiter-0.16.0-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17ca7fae79f6d99cd9a042b75f917eaada7b895cfc7dd2ee3a16089dcaec7a85", size = 346468, upload-time = "2026-06-29T13:05:05.452Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/ab/664fd8c4be028b2bedd3d2ff08769c4ede23d0dbc87a77c62384a0515b5d/jiter-0.16.0-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:f17d61a28b4b3e0e3e2ba98490c70501403b4d196f78732439160e7fd3678127", size = 303106, upload-time = "2026-06-29T13:05:07.118Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/07/421f1d5b65493a76e16027b848aba6a7d28073ae75944fa4289cc914d39f/jiter-0.16.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:96e38eea538c8ddf853a35727c7be0741c76c13f04148ac5c116222f50ece3b3", size = 304658, upload-time = "2026-06-29T13:05:08.708Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/db/bba1155f01a01c3c37a89425d571da751bbedf5c54247b831a04cb971798/jiter-0.16.0-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d284fb8d94d5855d60c44fefcab4bf966f1da6fada73992b01f6f0c9bc0c6702", size = 339719, upload-time = "2026-06-29T13:05:10.41Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/78/f7/18a1afcd64f35314b68c1f23afcd9994d0bc13e65cc77517afff4e83986d/jiter-0.16.0-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64d613743df53199b1aa256a7d328340da6d7078aac7705a7db9d7a791e9cfd2", size = 343885, upload-time = "2026-06-29T13:05:12.087Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "logfire"
|
||||
version = "4.33.0"
|
||||
@@ -733,6 +859,25 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/88/b2/d0896bdcdc8d28a7fc5717c305f1a861c26e18c05047949fb371034d98bd/nodeenv-1.10.0-py2.py3-none-any.whl", hash = "sha256:5bb13e3eed2923615535339b3c620e76779af4cb4c6a90deccc9e36b274d3827", size = 23438, upload-time = "2025-12-20T14:08:52.782Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "2.45.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "anyio" },
|
||||
{ name = "distro" },
|
||||
{ name = "httpx" },
|
||||
{ name = "jiter" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "sniffio" },
|
||||
{ name = "tqdm" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/78/60/d4219875289b11d2c2f7da93c36283da224a2e55865ed865ab64e0ce9217/openai-2.45.0.tar.gz", hash = "sha256:10d34ca9c5643bce775852fddbfc172505cb1d4de1ccd101696c3ecff358765d", size = 1109653, upload-time = "2026-07-09T18:02:44.091Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f1/b0/2291689e3ec4723fbf5bbf3b54afcd7b160f9ddc98ca7aedfd0132af5677/openai-2.45.0-py3-none-any.whl", hash = "sha256:5df105f5f8c9b711fcb9d06d2d3888cebc82506db216484c14a4e53cdf651777", size = 1629470, upload-time = "2026-07-09T18:02:42.21Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "opentelemetry-api"
|
||||
version = "1.41.1"
|
||||
@@ -1046,6 +1191,9 @@ dbos = [
|
||||
dynamic-workflow = [
|
||||
{ name = "pydantic-monty" },
|
||||
]
|
||||
exa = [
|
||||
{ name = "exa-py" },
|
||||
]
|
||||
logfire = [
|
||||
{ name = "logfire" },
|
||||
{ name = "pydantic-ai-slim", extra = ["spec"] },
|
||||
@@ -1076,6 +1224,7 @@ lint = [
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "agent-client-protocol", marker = "extra == 'acp'", specifier = ">=0.11,<0.12" },
|
||||
{ name = "exa-py", marker = "extra == 'exa'", specifier = ">=2.16.0" },
|
||||
{ name = "httpx", specifier = ">=0.28.1" },
|
||||
{ name = "logfire", marker = "extra == 'logfire'", specifier = ">=4.31.0" },
|
||||
{ name = "pydantic-ai-slim", specifier = ">=2.1.0" },
|
||||
@@ -1086,7 +1235,7 @@ requires-dist = [
|
||||
{ name = "pydantic-monty", marker = "extra == 'codemode'", specifier = ">=0.0.16" },
|
||||
{ name = "pydantic-monty", marker = "extra == 'dynamic-workflow'", specifier = ">=0.0.16" },
|
||||
]
|
||||
provides-extras = ["acp", "code-mode", "codemode", "dbos", "dynamic-workflow", "logfire", "temporal"]
|
||||
provides-extras = ["acp", "code-mode", "codemode", "dbos", "dynamic-workflow", "exa", "logfire", "temporal"]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
@@ -1444,6 +1593,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "python-dotenv"
|
||||
version = "1.2.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/82/ed/0301aeeac3e5353ef3d94b6ec08bbcabd04a72018415dcb29e588514bba8/python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3", size = 50135, upload-time = "2026-03-01T16:00:26.196Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0b/d7/1959b9648791274998a9c3526f6d0ec8fd2233e4d4acce81bbae76b44b2a/python_dotenv-1.2.2-py3-none-any.whl", hash = "sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a", size = 22101, upload-time = "2026-03-01T16:00:25.09Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pytokens"
|
||||
version = "0.4.1"
|
||||
@@ -1770,6 +1928,18 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/61/cceae43728b7de99d9b847560c262873a1f6c98202171fd5ed62640b494b/tomli-2.4.1-py3-none-any.whl", hash = "sha256:0d85819802132122da43cb86656f8d1f8c6587d54ae7dcaf30e90533028b49fe", size = 14583, upload-time = "2026-03-25T20:22:03.012Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.68.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ae/5f/57ff8b434839e70dab45601284ea413e947a63799891b7553e5960a793a8/tqdm-4.68.4.tar.gz", hash = "sha256:19829c9673638f2a0b8617da4cdcb927e831cd88bcfcb6e78d42a4d1af131520", size = 792418, upload-time = "2026-07-07T09:58:18.369Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/22/2a/5e5e750890ada51017d18d0d4c30da696e5b5bd3180947729927628fc3cb/tqdm-4.68.4-py3-none-any.whl", hash = "sha256:5168118b2368f48c561afda8020fd79195b1bdb0bdf8086b88442c267a315dc2", size = 676612, upload-time = "2026-07-07T09:58:16.256Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "trio"
|
||||
version = "0.33.0"
|
||||
|
||||
Reference in New Issue
Block a user