diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index c1ecc3d9f..9b7bd53b7 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -240,24 +240,11 @@ jobs:
with:
deno-version: v2.x
- - run: |
- deno fmt
- deno lint
- deno check src
- working-directory: mcp-run-python
+ - run: make lint-js
- run: uv run --package mcp-run-python pytest mcp-run-python -v
- # check warmup works
- - name: warmup
- run: |
- deno run \
- -N \
- -R=node_modules \
- -W=node_modules \
- --node-modules-dir=auto \
- src/main.ts \
- warmup
+ - run: deno task dev warmup
working-directory: mcp-run-python
# https://github.com/marketplace/actions/alls-green#why used for branch protection checks
diff --git a/Makefile b/Makefile
index 620da7ed0..13250acbb 100644
--- a/Makefile
+++ b/Makefile
@@ -80,7 +80,7 @@ testcov: test ## Run tests and generate a coverage report
.PHONY: test-mrp
test-mrp: ## Build and tests of mcp-run-python
- cd mcp-run-python && npm run prepare
+ cd mcp-run-python && deno task build
uv run --package mcp-run-python pytest mcp-run-python -v
.PHONY: update-examples
diff --git a/mcp-run-python/.gitignore b/mcp-run-python/.gitignore
index 3c3629e64..76111564d 100644
--- a/mcp-run-python/.gitignore
+++ b/mcp-run-python/.gitignore
@@ -1 +1,2 @@
node_modules
+src/prepareEnvCode.ts
diff --git a/mcp-run-python/README.md b/mcp-run-python/README.md
index a6c2d9d01..360ca2347 100644
--- a/mcp-run-python/README.md
+++ b/mcp-run-python/README.md
@@ -2,8 +2,8 @@
[Model Context Protocol](https://modelcontextprotocol.io/) server to run Python code in a sandbox.
-The code is executed using [Pyodide](https://pyodide.org) in [Deno](https://deno.com/) and is therefore
-isolated from the rest of the operating system.
+The code is executed using [Pyodide](https://pyodide.org) in [Deno](https://deno.com/) and is therefore isolated from
+the rest of the operating system.
**See for complete documentation.**
@@ -17,20 +17,18 @@ deno run \
where:
-- `-N -R=node_modules -W=node_modules` (alias of
- `--allow-net --allow-read=node_modules --allow-write=node_modules`) allows
- network access and read+write access to `./node_modules`. These are required
- so pyodide can download and cache the Python standard library and packages
+- `-N -R=node_modules -W=node_modules` (alias of `--allow-net --allow-read=node_modules --allow-write=node_modules`)
+ allows network access and read+write access to `./node_modules`. These are required so pyodide can download and cache
+ the Python standard library and packages
- `--node-modules-dir=auto` tells deno to use a local `node_modules` directory
- `stdio` runs the server with the
- [Stdio MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio)
- — suitable for running the process as a subprocess locally
+ [Stdio MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) —
+ suitable for running the process as a subprocess locally
- `sse` runs the server with the
- [SSE MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse)
- — running the server as an HTTP server to connect locally or remotely
-- `warmup` will run a minimal Python script to download and cache the Python
- standard library. This is also useful to check the server is running
- correctly.
+ [SSE MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) —
+ running the server as an HTTP server to connect locally or remotely
+- `warmup` will run a minimal Python script to download and cache the Python standard library. This is also useful to
+ check the server is running correctly.
Here's an example of using `@pydantic/mcp-run-python` with PydanticAI:
diff --git a/mcp-run-python/build.ts b/mcp-run-python/build.ts
new file mode 100644
index 000000000..afac19b09
--- /dev/null
+++ b/mcp-run-python/build.ts
@@ -0,0 +1,16 @@
+// inline src/prepare_env.py into src/prepareEnvCode.js
+import * as path from '@std/path'
+
+if (!import.meta.dirname) {
+ throw new Error('import.meta.dirname is not defined, unable to load prepare_env.py')
+}
+const src = path.join(import.meta.dirname, 'src/prepare_env.py')
+const dst = path.join(import.meta.dirname, 'src/prepareEnvCode.ts')
+
+let pythonCode = await Deno.readTextFile(src)
+pythonCode = pythonCode.replace(/\\/g, '\\\\')
+const jsCode = `\
+// DO NOT EDIT THIS FILE DIRECTLY, INSTEAD RUN "deno run build"
+export const preparePythonCode = \`${pythonCode}\`
+`
+await Deno.writeTextFile(dst, jsCode)
diff --git a/mcp-run-python/deno.json b/mcp-run-python/deno.json
index 1c9f13d2b..cbe71d74a 100644
--- a/mcp-run-python/deno.json
+++ b/mcp-run-python/deno.json
@@ -1,17 +1,21 @@
{
"name": "@pydantic/mcp-run-python",
- "version": "0.0.11",
+ "version": "0.0.13",
"license": "MIT",
"nodeModulesDir": "auto",
"exports": {
".": "./src/main.ts"
},
"tasks": {
- "lint-format": "deno fmt && deno lint && deno check src"
+ "build": "deno run -R=. -W=src build.ts",
+ "lint-format": "deno task build && deno fmt && deno lint && deno check src && deno publish --dry-run --allow-dirty",
+ "dev": "deno task build && deno run -N -R=node_modules -W=node_modules src/main.ts",
+ "build-publish": "deno task build && deno publish"
},
"imports": {
"@modelcontextprotocol/sdk": "npm:@modelcontextprotocol/sdk@^1.8.0",
"@std/cli": "jsr:@std/cli@^1.0.15",
+ "@std/path": "jsr:@std/path@^1.0.8",
"pyodide": "npm:pyodide@^0.27.4",
"zod": "npm:zod@^3.24.2"
},
@@ -20,17 +24,15 @@
"semiColons": false,
"singleQuote": true,
"include": [
- "src/"
+ "."
]
},
- "compilerOptions": {
- "types": [
- "node"
- ],
- "lib": [
- "ESNext",
- "deno.ns",
- "dom" // console needs this
+ "publish": {
+ "include": [
+ "src/*.ts",
+ "src/prepareEnvCode.ts", // required to override gitignore
+ "README.md",
+ "deno.json"
]
}
}
diff --git a/mcp-run-python/deno.lock b/mcp-run-python/deno.lock
index 19c41eeeb..893e2f238 100644
--- a/mcp-run-python/deno.lock
+++ b/mcp-run-python/deno.lock
@@ -3,6 +3,8 @@
"specifiers": {
"jsr:@std/cli@*": "1.0.15",
"jsr:@std/cli@^1.0.15": "1.0.15",
+ "jsr:@std/path@*": "1.0.8",
+ "jsr:@std/path@^1.0.8": "1.0.8",
"npm:@modelcontextprotocol/sdk@^1.8.0": "1.8.0_express@5.1.0_zod@3.24.2",
"npm:@types/node@*": "22.12.0",
"npm:@types/node@22.12.0": "22.12.0",
@@ -13,6 +15,9 @@
"jsr": {
"@std/cli@1.0.15": {
"integrity": "e79ba3272ec710ca44d8342a7688e6288b0b88802703f3264184b52893d5e93f"
+ },
+ "@std/path@1.0.8": {
+ "integrity": "548fa456bb6a04d3c1a1e7477986b6cffbce95102d0bb447c67c4ee70e0364be"
}
},
"npm": {
@@ -900,6 +905,7 @@
"workspace": {
"dependencies": [
"jsr:@std/cli@^1.0.15",
+ "jsr:@std/path@^1.0.8",
"npm:@modelcontextprotocol/sdk@^1.8.0",
"npm:pyodide@~0.27.4",
"npm:zod@^3.24.2"
diff --git a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts
index 034d36d89..6eb051f93 100644
--- a/mcp-run-python/src/main.ts
+++ b/mcp-run-python/src/main.ts
@@ -11,7 +11,7 @@ import { z } from 'zod'
import { asXml, runCode } from './runCode.ts'
-const VERSION = '0.0.11'
+const VERSION = '0.0.13'
export async function main() {
const { args } = Deno
diff --git a/mcp-run-python/src/prepareEnvCode.ts b/mcp-run-python/src/prepare_env.py
similarity index 98%
rename from mcp-run-python/src/prepareEnvCode.ts
rename to mcp-run-python/src/prepare_env.py
index 9cedb56b0..e22db9ca7 100644
--- a/mcp-run-python/src/prepareEnvCode.ts
+++ b/mcp-run-python/src/prepare_env.py
@@ -1,4 +1,3 @@
-export const preparePythonCode = `
"""Logic for installing dependencies in Pyodide.
Mostly taken from https://github.com/pydantic/pydantic.run/blob/main/src/frontend/src/prepare_env.py
@@ -162,7 +161,7 @@ def _read_pep723_metadata(code: str) -> dict[str, Any]:
Copied from https://packaging.python.org/en/latest/specifications/inline-script-metadata/#reference-implementation
"""
name = 'script'
- magic_comment_regex = r'(?m)^# /// (?P[a-zA-Z0-9-]+)$\\s(?P(^#(| .*)$\\s)+)^# ///$'
+ magic_comment_regex = r'(?m)^# /// (?P[a-zA-Z0-9-]+)$\s(?P(^#(| .*)$\s)+)^# ///$'
matches = list(filter(lambda m: m.group('type') == name, re.finditer(magic_comment_regex, code)))
if len(matches) > 1:
raise ValueError(f'Multiple {name} blocks found')
@@ -199,4 +198,3 @@ def _find_imports_to_install(imports: list[str]) -> Iterable[str]:
yield package_name
elif '.' not in module:
yield module
-`
diff --git a/pydantic_ai_slim/pydantic_ai/_agent_graph.py b/pydantic_ai_slim/pydantic_ai/_agent_graph.py
index 61d32f0ed..9ce7091a7 100644
--- a/pydantic_ai_slim/pydantic_ai/_agent_graph.py
+++ b/pydantic_ai_slim/pydantic_ai/_agent_graph.py
@@ -427,6 +427,18 @@ async def _run_stream() -> AsyncIterator[_messages.HandleResponseEvent]:
# No events are emitted during the handling of text responses, so we don't need to yield anything
self._next_node = await self._handle_text_response(ctx, texts)
else:
+ # we've got an empty response, this sometimes happens with anthropic (and perhaps other models)
+ # when the model has already returned text along side tool calls
+ # in this scenario, if text responses are allowed, we return text from the most recent model
+ # response, if any
+ if allow_text_output(ctx.deps.output_schema):
+ for message in reversed(ctx.state.message_history):
+ if isinstance(message, _messages.ModelResponse):
+ last_texts = [p.content for p in message.parts if isinstance(p, _messages.TextPart)]
+ if last_texts:
+ self._next_node = await self._handle_text_response(ctx, last_texts)
+ return
+
raise exceptions.UnexpectedModelBehavior('Received empty model response')
self._events_iterator = _run_stream()
@@ -530,6 +542,7 @@ async def _handle_text_response(
text = '\n\n'.join(texts)
if allow_text_output(output_schema):
+ # The following cast is safe because we know `str` is an allowed result type
result_data_input = cast(NodeRunEndT, text)
try:
result_data = await _validate_output(result_data_input, ctx, None)
@@ -537,7 +550,6 @@ async def _handle_text_response(
ctx.state.increment_retries(ctx.deps.max_result_retries)
return ModelRequestNode[DepsT, NodeRunEndT](_messages.ModelRequest(parts=[e.tool_retry]))
else:
- # The following cast is safe because we know `str` is an allowed result type
return self._handle_final_result(ctx, result.FinalResult(result_data, None, None), [])
else:
ctx.state.increment_retries(ctx.deps.max_result_retries)
diff --git a/pydantic_ai_slim/pydantic_ai/agent.py b/pydantic_ai_slim/pydantic_ai/agent.py
index d9eb1000e..5a9cfb42b 100644
--- a/pydantic_ai_slim/pydantic_ai/agent.py
+++ b/pydantic_ai_slim/pydantic_ai/agent.py
@@ -659,7 +659,7 @@ async def get_instructions(run_context: RunContext[AgentDepsT]) -> str | None:
start_node,
state=state,
deps=graph_deps,
- span=use_span(run_span, end_on_exit=True),
+ span=use_span(run_span, end_on_exit=True) if run_span.is_recording() else None,
infer_name=False,
) as graph_run:
yield AgentRun(graph_run)
diff --git a/pydantic_ai_slim/pydantic_ai/common_tools/duckduckgo.py b/pydantic_ai_slim/pydantic_ai/common_tools/duckduckgo.py
index de61ee4db..5541710af 100644
--- a/pydantic_ai_slim/pydantic_ai/common_tools/duckduckgo.py
+++ b/pydantic_ai_slim/pydantic_ai/common_tools/duckduckgo.py
@@ -54,8 +54,6 @@ async def __call__(self, query: str) -> list[DuckDuckGoResult]:
"""
search = functools.partial(self.client.text, max_results=self.max_results)
results = await anyio.to_thread.run_sync(search, query)
- if len(results) == 0:
- raise RuntimeError('No search results found.')
return duckduckgo_ta.validate_python(results)
diff --git a/pydantic_ai_slim/pydantic_ai/common_tools/tavily.py b/pydantic_ai_slim/pydantic_ai/common_tools/tavily.py
index a8096cb7f..e11baa081 100644
--- a/pydantic_ai_slim/pydantic_ai/common_tools/tavily.py
+++ b/pydantic_ai_slim/pydantic_ai/common_tools/tavily.py
@@ -63,8 +63,6 @@ async def __call__(
The search results.
"""
results = await self.client.search(query, search_depth=search_deep, topic=topic, time_range=time_range) # type: ignore[reportUnknownMemberType]
- if not results['results']:
- raise RuntimeError('No search results found.')
return tavily_search_ta.validate_python(results['results'])
diff --git a/pydantic_ai_slim/pydantic_ai/messages.py b/pydantic_ai_slim/pydantic_ai/messages.py
index cd6839c02..efe816ac4 100644
--- a/pydantic_ai_slim/pydantic_ai/messages.py
+++ b/pydantic_ai_slim/pydantic_ai/messages.py
@@ -508,6 +508,8 @@ def args_as_dict(self) -> dict[str, Any]:
"""
if isinstance(self.args, dict):
return self.args
+ if isinstance(self.args, str) and not self.args:
+ return {}
args = pydantic_core.from_json(self.args)
assert isinstance(args, dict), 'args should be a dict'
return cast(dict[str, Any], args)
diff --git a/pydantic_ai_slim/pydantic_ai/models/__init__.py b/pydantic_ai_slim/pydantic_ai/models/__init__.py
index 8bd7fa634..e09721960 100644
--- a/pydantic_ai_slim/pydantic_ai/models/__init__.py
+++ b/pydantic_ai_slim/pydantic_ai/models/__init__.py
@@ -106,6 +106,7 @@
'google-gla:gemini-2.0-flash',
'google-gla:gemini-2.0-flash-lite-preview-02-05',
'google-gla:gemini-2.0-pro-exp-02-05',
+ 'google-gla:gemini-2.5-flash-preview-04-17',
'google-gla:gemini-2.5-pro-exp-03-25',
'google-gla:gemini-2.5-pro-preview-03-25',
'google-vertex:gemini-1.0-pro',
@@ -118,6 +119,7 @@
'google-vertex:gemini-2.0-flash',
'google-vertex:gemini-2.0-flash-lite-preview-02-05',
'google-vertex:gemini-2.0-pro-exp-02-05',
+ 'google-vertex:gemini-2.5-flash-preview-04-17',
'google-vertex:gemini-2.5-pro-exp-03-25',
'google-vertex:gemini-2.5-pro-preview-03-25',
'gpt-3.5-turbo',
diff --git a/pydantic_ai_slim/pydantic_ai/models/anthropic.py b/pydantic_ai_slim/pydantic_ai/models/anthropic.py
index bbbf38902..61156849e 100644
--- a/pydantic_ai_slim/pydantic_ai/models/anthropic.py
+++ b/pydantic_ai_slim/pydantic_ai/models/anthropic.py
@@ -239,6 +239,7 @@ async def _messages_create(
timeout=model_settings.get('timeout', NOT_GIVEN),
metadata=model_settings.get('anthropic_metadata', NOT_GIVEN),
extra_headers={'User-Agent': get_user_agent()},
+ extra_body=model_settings.get('extra_body'),
)
except APIStatusError as e:
if (status_code := e.status_code) >= 400:
diff --git a/pydantic_ai_slim/pydantic_ai/models/bedrock.py b/pydantic_ai_slim/pydantic_ai/models/bedrock.py
index b54df588b..a8882ba62 100644
--- a/pydantic_ai_slim/pydantic_ai/models/bedrock.py
+++ b/pydantic_ai_slim/pydantic_ai/models/bedrock.py
@@ -2,10 +2,11 @@
import functools
import typing
-from collections.abc import AsyncIterator, Iterable, Mapping
+from collections.abc import AsyncIterator, Iterable, Iterator, Mapping
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from datetime import datetime
+from itertools import count
from typing import TYPE_CHECKING, Any, Generic, Literal, Union, cast, overload
import anyio
@@ -369,13 +370,14 @@ async def _map_messages(
"""Just maps a `pydantic_ai.Message` to the Bedrock `MessageUnionTypeDef`."""
system_prompt: list[SystemContentBlockTypeDef] = []
bedrock_messages: list[MessageUnionTypeDef] = []
+ document_count: Iterator[int] = count(1)
for m in messages:
if isinstance(m, ModelRequest):
for part in m.parts:
if isinstance(part, SystemPromptPart):
system_prompt.append({'text': part.content})
elif isinstance(part, UserPromptPart):
- bedrock_messages.extend(await self._map_user_prompt(part))
+ bedrock_messages.extend(await self._map_user_prompt(part, document_count))
elif isinstance(part, ToolReturnPart):
assert part.tool_call_id is not None
bedrock_messages.append(
@@ -430,20 +432,18 @@ async def _map_messages(
return system_prompt, bedrock_messages
@staticmethod
- async def _map_user_prompt(part: UserPromptPart) -> list[MessageUnionTypeDef]:
+ async def _map_user_prompt(part: UserPromptPart, document_count: Iterator[int]) -> list[MessageUnionTypeDef]:
content: list[ContentBlockUnionTypeDef] = []
if isinstance(part.content, str):
content.append({'text': part.content})
else:
- document_count = 0
for item in part.content:
if isinstance(item, str):
content.append({'text': item})
elif isinstance(item, BinaryContent):
format = item.format
if item.is_document:
- document_count += 1
- name = f'Document {document_count}'
+ name = f'Document {next(document_count)}'
assert format in ('pdf', 'txt', 'csv', 'doc', 'docx', 'xls', 'xlsx', 'html', 'md')
content.append({'document': {'name': name, 'format': format, 'source': {'bytes': item.data}}})
elif item.is_image:
@@ -464,8 +464,7 @@ async def _map_user_prompt(part: UserPromptPart) -> list[MessageUnionTypeDef]:
content.append({'image': image})
elif item.kind == 'document-url':
- document_count += 1
- name = f'Document {document_count}'
+ name = f'Document {next(document_count)}'
data = response.content
content.append({'document': {'name': name, 'format': item.format, 'source': {'bytes': data}}})
diff --git a/pydantic_ai_slim/pydantic_ai/models/gemini.py b/pydantic_ai_slim/pydantic_ai/models/gemini.py
index 9f4ad2c91..b98bfb9b1 100644
--- a/pydantic_ai_slim/pydantic_ai/models/gemini.py
+++ b/pydantic_ai_slim/pydantic_ai/models/gemini.py
@@ -58,6 +58,7 @@
'gemini-2.0-flash',
'gemini-2.0-flash-lite-preview-02-05',
'gemini-2.0-pro-exp-02-05',
+ 'gemini-2.5-flash-preview-04-17',
'gemini-2.5-pro-exp-03-25',
'gemini-2.5-pro-preview-03-25',
]
diff --git a/pydantic_ai_slim/pydantic_ai/models/groq.py b/pydantic_ai_slim/pydantic_ai/models/groq.py
index be590e9b7..7559e8851 100644
--- a/pydantic_ai_slim/pydantic_ai/models/groq.py
+++ b/pydantic_ai_slim/pydantic_ai/models/groq.py
@@ -218,6 +218,7 @@ async def _completions_create(
frequency_penalty=model_settings.get('frequency_penalty', NOT_GIVEN),
logit_bias=model_settings.get('logit_bias', NOT_GIVEN),
extra_headers={'User-Agent': get_user_agent()},
+ extra_body=model_settings.get('extra_body'),
)
except APIStatusError as e:
if (status_code := e.status_code) >= 400:
diff --git a/pydantic_ai_slim/pydantic_ai/models/instrumented.py b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
index 2b1577c6d..20fa568e9 100644
--- a/pydantic_ai_slim/pydantic_ai/models/instrumented.py
+++ b/pydantic_ai_slim/pydantic_ai/models/instrumented.py
@@ -261,9 +261,11 @@ def event_to_dict(event: Event) -> dict[str, Any]:
@staticmethod
def messages_to_otel_events(messages: list[ModelMessage]) -> list[Event]:
events: list[Event] = []
+ last_model_request: ModelRequest | None = None
for message_index, message in enumerate(messages):
message_events: list[Event] = []
if isinstance(message, ModelRequest):
+ last_model_request = message
for part in message.parts:
if hasattr(part, 'otel_event'):
message_events.append(part.otel_event())
@@ -275,6 +277,10 @@ def messages_to_otel_events(messages: list[ModelMessage]) -> list[Event]:
**(event.attributes or {}),
}
events.extend(message_events)
+ if last_model_request and last_model_request.instructions:
+ events.insert(
+ 0, Event('gen_ai.system.message', body={'content': last_model_request.instructions, 'role': 'system'})
+ )
for event in events:
event.body = InstrumentedModel.serialize_any(event.body)
return events
diff --git a/pydantic_ai_slim/pydantic_ai/models/openai.py b/pydantic_ai_slim/pydantic_ai/models/openai.py
index dc1026f9f..628dad556 100644
--- a/pydantic_ai_slim/pydantic_ai/models/openai.py
+++ b/pydantic_ai_slim/pydantic_ai/models/openai.py
@@ -284,6 +284,7 @@ async def _completions_create(
reasoning_effort=model_settings.get('openai_reasoning_effort', NOT_GIVEN),
user=model_settings.get('openai_user', NOT_GIVEN),
extra_headers={'User-Agent': get_user_agent()},
+ extra_body=model_settings.get('extra_body'),
)
except APIStatusError as e:
if (status_code := e.status_code) >= 400:
@@ -623,6 +624,7 @@ async def _responses_create(
reasoning=reasoning,
user=model_settings.get('openai_user', NOT_GIVEN),
extra_headers={'User-Agent': get_user_agent()},
+ extra_body=model_settings.get('extra_body'),
)
except APIStatusError as e:
if (status_code := e.status_code) >= 400:
diff --git a/pydantic_ai_slim/pydantic_ai/settings.py b/pydantic_ai_slim/pydantic_ai/settings.py
index 730ef609d..79104626e 100644
--- a/pydantic_ai_slim/pydantic_ai/settings.py
+++ b/pydantic_ai_slim/pydantic_ai/settings.py
@@ -141,6 +141,16 @@ class ModelSettings(TypedDict, total=False):
* Cohere
"""
+ extra_body: object
+ """Extra body to send to the model.
+
+ Supported by:
+
+ * OpenAI
+ * Anthropic
+ * Groq
+ """
+
def merge_model_settings(base: ModelSettings | None, overrides: ModelSettings | None) -> ModelSettings | None:
"""Merge two sets of model settings, preferring the overrides.
diff --git a/tests/models/cassettes/test_bedrock/test_bedrock_multiple_documents_in_history.yaml b/tests/models/cassettes/test_bedrock/test_bedrock_multiple_documents_in_history.yaml
new file mode 100644
index 000000000..638a3fcaf
--- /dev/null
+++ b/tests/models/cassettes/test_bedrock/test_bedrock_multiple_documents_in_history.yaml
@@ -0,0 +1,52 @@
+interactions:
+- request:
+ body: '{"messages": [{"role": "user", "content": [{"text": "Here is a PDF document: "}, {"document": {"name": "Document
+ 1", "format": "pdf", "source": {"bytes": "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"}}}]},
+ {"role": "assistant", "content": [{"text": "foo bar"}]}, {"role": "user", "content": [{"text": "Here is another PDF
+ document: "}, {"document": {"name": "Document 2", "format": "pdf", "source": {"bytes": 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0m/nFW9f2V0y/ubhhZWN/+fSbatFtj3Zu396567LmL5/t5ru+WlG/4aa7pjlvvWfHstZr7z77AWKWNL1V3YbcTGM1R1NLDCxtMnraaU1IrjFnJibXmMTFKC6GTOC4cI4tZ00NgqomLkoyWjilGdU0rioKg9vTeizMMsmOOFMXJSdWJpWQllGV0ZOhvJPBMoR/lxTViN6Zmre4JiMrK0ddrTit2TUHFaZMsmJnHJcjVD8xSsXTiTNvZY1GVagW2enfGYs52LHpbDau+Gc9u7nF0/xrh2Pv8CbLu69Tw5mdlQ3StSx1dYr0a+pqAKYki9joDibjsrMtbOloC69BxY+oFjoefYdY9J1xBc/veHXjRDlGhuhvnEmJKQ1plrRsXFKtDQacIRMYiD6CcUxWd1pBWloBMyUp9iXFxWLL1CUxx/T7zD59Y1Nh06cOtm/dnL2+tvfT2WrR2ST+hw/4sZ29Fy1J+UVioFvUwDvxLPg+amAy7rdHnIVGw7H0Y1blYgPbY/iJgaemFCYmJVGupRAuSSZz5jlVL9OWX5Xfk+/PP5RvyLckayzmLFH48hYWvtm6J6pe6urKudq3IqVAQ/HLSDeKymfP5nLj14i6dyf7V5a07cBjvV/a/JnvP/vAkX1Nn95QO2Y4nlnw6pHrJ70pGWd/qj433VPR29jenxiPbPoS1nMt1hNHw84Gs0E1GgpNmrnKfNL8mlmtNB82c7OZFFWsJ47MpgbjFjyKb1Nw8vAcbVHVIr5IjZu/iPj5i0D9eg8ABnPL2LkXvWKw1GM1WEhGgWxfUs6cXcv7zt5rOP7+9IPvn71NVCcrHP5rw8uowpPO6pUqK1M1i5bSrR6yGszqSSvPyEzh6amZKUlpyWRJSmNk4elx5uRFbNeiKAwTZSbeyFKSY4VYVh2c13jYFomPkr2iwbzF3G5WzCWWypRdKTxlkqnOxKS0Ip6+i8YypzJ5JkL3ZFxCTWZ21hXHuJfk0hx76zeJ0/KDnfXv7sx+naxYm1gVWgMuq6uT8UJ5EMUhbUVtjSgLWSZRBDIyVmTYURLs1ntX3x26IlDUtO6i2n/+5+k371WL2r9wbcfS71hWb2179YOnlI0i126Hsd9AbMTZPnKM4rAPG1DnnHHtcfxQXDhuKu5U3O/jDLa4nriDcWNAGBSjCQe/kkzMSafwxKjQTtwiGA1GkxrPTUVMFXs5rmBpjZpt1o8ah34LIAOEJcjQyOhgAcOONJjL0G5n2dNvsmz1SaZOf/CXT6hFOEDYPAs7xBaccpYK+wztBn7IEDZMGU4Zfm8w2Aw9hoOGMSAMMAY3JVwpYjRjCWWr51ii614R02s4/udWeKMRZ3Ixzqp0ymNfO0aW6PvO1kWr7477SuJdlkcMD8efiDuROJljNqezDfxiY2v8lsWPJD5pfDLnu/HfS/hJ/CsJ75v+lJiYl5yX4czNr8lwJqXUJGeczHgpQ5GFLnlxg+yTstDzW5wJyUmp7Uk9STzJmspEFmTn1rAVqcLsiXytRvZLSmO9ozzWW/Nk70xOSq4ZE/flFpi9KzUVmTehLkq1igxcushEBawyo2BLEkvKqVy8a7Fv8X2L1cXJBWYnirY5O9/bGPPGpjNy+2w68y6KwBkUOWe61VmS3mB1Lk7GJdeCS15KgyxqDWdlEUyFEaBIFcaASPagE31khhTnnSyEkoEwgeNMzGeJLjwRF79ODhsLGhwk6F93oCjvlOqTnPBSklCaJNQnOeEskkJRnBwOHKP1uAtD8HbupZ0OhiPHrhUX1VpoRTUpBfL+JE0chiZjFv8zs65868j0767zsvSXz7BU41mncrVr/Y5i5YpLLquvZ2xb5Vfuf+K2V5kZ1fm70898/qYNbODKg01NAfkxmPiI79d7nvlx/8ldyfV/NGeb5adDD/yqfu5Tf5reavwyqgdDbWMzH58RmdZNb6amuQ/UPvQBU4IRKMN36Q71V3SLKZ8OqAFK4qtx53sJ3Qncl/hjZMX4dtEw1wielfQ4s7H/5JN8UtGUIeV/qw1qyPBZXXoClSANxIsjISppO+65Nlt82AgCu0u9ksTduzRYXhXJFy9HiuTCnaEOK9TFLDqsUjrr12EDWdnndNgI+A4dNtF32Dd02ExF3K/DcTTK79LhePU5RdPhRdRr+qUOJ9Buc7MOJxqPmh/T4SS6LPnTs347mHxch+E2y2od5qRa1umwQsss63VYpXjLkA4bKMFyhQ4bAV+rwybqtRzWYTOlWf6gw3HUkmLQ4XjuSvmEDi+i5WmPz35btiLtFzqcqOxIT9bhJKrI8sISpgqvJ2V9SYdVysl6UMIG4OOzTuqwSplZ35ewEXhj1ms6rFJq1hsSNom4ZP1JhxGLrKiEzcAnWNN0WCWr1SbhOBFfa50OI77ZtToMOdkNOoz4Zl+sw5CZfZ8OI77ZEzqM+Gb/ow4jvtm/0mHEN+dhHUZ8c17UYcQ391M6jPhq2TqM+Gqf1WHEV/tfOoz4Ft8p4Xjhq+J/12H4qji2xkXAp5Zk67BKi0scEk4QaynZqMOwv2SrhJNE5pd4dFilvJKQhC1Szm06LOR8TcJpwuclz+owfF7yXQmnC3tKfqbDsKfkTQlnAJ9eynRYJa00Q8KZgr60VodBX9ok4WxJv1OHBf1eCeeKHCi9TYeRA6X3SDhf2FM6rsOwp/QpCdsk/fd1WNC/LOGlIgdK39Jh5EDpHyVcJvxTlqjD8E9ZzM5yUQnKSnVYnYHN0v+zMOwvk/ljlusq26rDAr9LwAkx+v06LPDXS1jGpex+HRZ6H6VO2k9+8tBucpEbvUaPonVSv4Q3kY+G0II6lYaK6aNhwOLqAt4rKTRgBsBfAahZ4l3/Q0mVs5Zp1IGZAQrN0gSA24g+pm85rca7isp1qFpiG8ExgH4bePbAhqDk2gZ5AbRh2odrH6iGMe8C5Xqpo+8cO9fMo9FmqdbQJVJKYNbqFdBahbeGKr8JWDdmfZj3wbNBKj2vlI+SMUdbPs+uznn4b0nPCr/1QcYg+mG6HDih7b/vcw1YD7zlhU1BaZvwkYaxoAnqUrcjHhq1S36NiqS+Tbhuge7d0vcu0As+D6QKb49ITiGt4jw2xeLsg15hkx+0+z+SyiPzS9CNSKv2zOr16tlbLqPso17d6s1ypl960QVrls3aPixnvDJTO3ANSatjEYll1SrkUpO0JCi9POO3Ydiigcql52Iso7zS930yw0TODUld8+Pu1mW5pG2Cc1BKFHb3Q/+glBjzviatdkl9bj0asRlhdUCPh0uuMca3fzb+Xj3b/XoEPdI3AZmNsdXNRMil2x+S2jSpYb5VM5EXvhHjESm7f142CFqflBXTPYOPeTuoe8StZ2rgHLogZHqkV7zoY7LdOiYkPS0yai6nfXLnDkuPDkh+YamI56DONaPBLfn36Vq9+kpj+1FImPPCblAKaTHsnF+9und9+kq8kj4kR3NRDcgsHZDWnT8nZmprYHYtYm5QypuTIerF5bq1Lt3/bln1NH2XzvisT+reI7ExfrHDvHoM++W+8+s54sNV7Oh9urdjEuaqvUvGKpYdmvShW1+/V0ZtQNL45d6LZeOQ5IytZH52e2czS+z8K/TIDEprRG7u0/dWrO4MzNoxKEdz2Rv80IkU+ND63LqOXikhJD3dtyA3PbQX+BnPitx2z65wt8xtTebAFdK3AZl3wdl6Eou6sD2234N61YjtpoCeZXPVMzY7KCPioislf8xqIdctZ+cyLaa9T3rLL3fJ/tlVzOgekjVTzLukJ4Z1HWIPxbwYlPwzFs9I98scGpR1c8a2Cnn2BTG3BmdqJeSKd4Wkml9hK2R1GgRFv9xLA4AGAQ3JCHnkKEC7ZA7EIl4xS/l/V8OIzJgYrWeels2o9J0491vRmpB5At4CrDgBWnH9pMS3ANOBq8jNi3EStOC9SWI7KRFPU6J1ymwKnCfXtFl8bJ/EPOrXfT6Xo3/dKTYXmZmKPBPnXjm7H/ShWZ3u2doWy+e582h+tYxVjrk6Gtu/Xr1mBvQ9vUdK8czWRLFbu3VtYnfv02tp7+xpFNMZ/BjPzNTOkdnq5NF3nGc2p4dl/Qjq+3m3no/n89fMLhQe88yTMreLz9XXp5+AIgN7ZWWMWd2rR2ZIl3y+CBXLVS30VKwin5sV52qeqW2iirnkvagLWgd0bwf0GvJRuoX3twMzV2f3nxMLj36XMf+eK1a9XdIiv/SsV7/T+Wtirum5ODSvts3oFZWkT3raO+8UGZ53r7xslnp4Xt7Ond0f7ylh3aCUP5NXvgXyRmT8L5fRnH8fOlMf5yh9oI3doYakx4X8/tn1xOyan92DekWN+T+2q/x6fsxV3oU59HErmsuPjXLt50Zu5t5LnDke/Q4ttprY/Z5bRnXoQzEY/pC/5yQH5N1qSN71x86hffLeaITm313919GfkTes3/959Wee893FnRvHmLfm7ljdUua5+3gmYq4P+Xr332TtnJfP1bDwvF9okUe/iw3i7JmRIJ5PGin2JFCCe/gaqsPzl4brcozK8XxVI5+yxKcj26lNp6zC7HLM1OhwHZ7G6iTXSqrFs4BoQvrfdtb990/GmbnKD3lv9jzs3O/37Ha5PdqjWme/R9vkG/IFgdKafMN+37Ar6PUNaf4Bd4XW7Aq6/guiSiFM6/ANhAQmoG0cAt/y1aurynGprtAaBwa0bd49/cGAts0T8Azv8/Q1DntdA+t9A30zMtdIjCZQay7xDAeE6BUVVVVaySave9gX8O0Ols6RzKeQ2HIpq1PCj2idw64+z6Br+HLNt/tjLdeGPXu8gaBn2NOneYe0IEi3d2jtrqBWpHVu0rbs3l2huYb6NM9AwDPSD7KKWUlYs2/PsMvfv38+yqM1D7tGvEN7BK8X7i3Xtvl6IXqz193vG3AFlgnpw16316V1uEJDfVgIXLWqusk3FPQMCtuG92sBF7wIR3l3a32egHfP0DIttnY3qFxeTA76hj1af2jQNQTzNXe/a9jlxjIw8LoDWIdrSMPcfrF+L9zuxwI9bk8g4IM6sSAX5Ifc/ZpXFyUWHxryaCPeYL90w6DP1ye4BQyzgzDEDacGZnDBEc9Q0OsBtRtAaHh/hSY97dvnGXYh3sFhjys4iCnB4A4h5gGhTMTRMyxN2B0aGAAobYX6QR+UeIf6QoGgXGoguH/AM98TIlsDQotneNA7JCmGfZdDrAv2u0NQFAtgn9e1xyfmR/rhc63fM+CHR3zaHu8+jySQae/SBuAObdAD3w153SB3+f0euHHI7YGSmLu9wlma5wosZtAzsF/D2gLInQEhY9A7IN0b1DdSQNfnBkevRwsFkFLSm569IWFsyC38r+32YcmQiEUFgyJPsPRhD+IeRGogTAG4TKYnhoOuPa4rvUMQ7Qm6l8WcBvY+b8A/4NovVAjuIc9IwO/ywzSQ9MHEoDcgBAty/7Bv0CelVfQHg/41lZUjIyMVg3rCVrh9g5X9wcGBysGg+NuSysHALpdYeIVA/pUMI54BYD2SZfOWzo2tG5saOzdu2axtadU+ubGpZXNHi9Z48baWlk0tmzsT4xPjO/vh1hmvCReLmMBQrCAoPXqeLSYXIxJZrLl3v7bfFxKcbpFt8LPcR7G0RHLIHEV8sf2GQO7aM+zxiEys0LrB1u9CGvh6xTYCZ3CBMSI7R0Q6eRA4j/D0sMcdRJx3w49zdokQ+vZ4JIkM8SwfQoPs7Q0FIRpm+rCj5i2oODBjFBJ51hWzzCLbtH2ugZCrFxnmCiBD5nNXaNuHZM7un1kF1qRXLqS3Swv4PW4vis65K9fgxSGZbYLX1dfnFTmBrByWVXmZQA9L38rd/SGjBryDXrEgKJF0I77hywOxJJX5KJG+ERTUUO+AN9Av9EBWzN2DSFTYj1D592ux5NU9tFCR9MfG3XOLE9Vrb8gTkGpQ99ye4SF9BcO63ZI40O8LDfRhD+3zekZi5eqc5Qs6RNKDCtA3V+Jm1wizZGF1B+diLBbm0q3efX6x0uRZBn3f64KgxxVcIwi2dzTiEChZVVNXqtUtX1VeVVNVFRe3vQ3IquXLa2pwrVtRp9WtrF1duzox/iN23cduRjGq1M2T+xCPqx79Jknc6sz/mGXhTJBCLBG3Bm8toJnD7qaFH3NrOqZV/9Bj/oyOU25QnlG+o5zEdXz+/AL8ha8NLnxtcOFrgwtfG1z42uDC1wYXvja48LXBha8NLnxtcOFrgwtfG1z42uDC1wYXvjb4f/hrg9nPD7z0UZ8sxGY+iT6WrT6JCS2gPXf2Ylk1AguoZnCt9BbGl9N7oH8LuIWfOiycm+GZub/ynVfi3OwlEppPE8NskKN98vOOhfMLZ9r10zckn/18clfOpz7f/HxP+T7Shz7Vpq5T16pN6kp1lepUL1Lb1NXzqc8733neT3TmsK3nrCeGaRMjthw08+fmsG36venlH7J4Hp6l0C8VO7Jk3vws7q/Nm7/SN3+1vI/LK/3/y1O0mH5K53l9mzqVr1AyY2SLTilfnrCkVzsnlbsnktOqnY0W5U5qR+MUVjbRFBonn3IbHUTjIG+LlC+vPiaAifikagvobyIN7RCaQmO4Mjl2ogn6mybSMoX4ayLJKZLvs5GqmhgwYbFWtzemK1cQUzzKENnJphxAvxi9G30++l6lD5VC2OmcSLZUH4K+BpA3KBkoQzalUcmkavTNSg7lSrJQJCmmJxQpKatujFeaFKskSVYSUY9silkxRapt2glF/NmwU7lhIm6RsO+GiCWj+hnlOsVE6aA6BKosW/IzSjxVoomVdE7EJVYfbkxQOrHMTrjFpoj/rH+fvDqVoQgEQV+LkkeZmLtcyacM9K3K4kiGbeqEcrsk+zshBfrWRcwrRDeRmFQ91RiniL8HCCu3wuO3Sm2HJ4pWVVNjkVJCVYr4EwlNOQjooPjP4soooFGEaRShGUVoRmHFKBkR+RsxcyNoKpUrya+M0GG0+wCrEJkRgQePSWBpSfUxJVuxwhOWE/AdAzZnIi5JWGaNpKZJMutEQlJ1wzNKgLagcRgfnMiyVvtOKGVyKcsmrLmCwR+JS4DrsmKxAGOmiMEzSp6yWHoiX3og3GjDmFGyYiPGf8BPCe/wl/mPRXzFT/rI/h/1/kW9/2Gsj07xUxPQ4pzk/yz60415/A0I28VfpfsAcX6CP4+jxsZ/zieFFfxn/Bg1oH8F4z70x9CvQH88UvA92ySfnEAH2++JJGaKxfLnI45KHbAV6kBWrg6kZlY3FvLn+LOUBxE/Rb8U/bN8ipagP4nein6KB+l76J/gtbQW/VG9/w5/WuQ0f4o/iTPTxiciScKEcMQkuiMRo+i+FaHYqL3S9jT/Fn+cckD6zUhRDrCPTBQttSWfgDzGH+TBSL4ttTGe38+62LsgGqNXRE+p/IFInRByOPK0ZjvGD/PDTmuds9BZ7nxIqSqsKq96SNEKtXKtTntIa7TwW8kA52HD8ptwxfnMkT1oTrTD/MaIWhduPIs1iXVxOoTrmIR6cPVLiHC1zM6+I6EGfh1tQeOQcQDtINohtKtIxfVKtM+ifQ7t8xITRAuhjaB8+MHhB4cfHH7J4QeHHxx+cPglh19qD6EJjh5w9ICjBxw9kqMHHD3g6AFHj+QQ9vaAo0dytIOjHRzt4GiXHO3gaAdHOzjaJUc7ONrB0S45nOBwgsMJDqfkcILDCQ4nOJySwwkOJzickqMKHFXgqAJHleSoAkcVOKrAUSU5qsBRBY4qyaGBQwOHBg5Ncmjg0MChgUOTHBo4NHBoksMCDgs4LOCwSA4LOCzgsIDDIjksMj4hNMFxGhynwXEaHKclx2lwnAbHaXCclhynwXEaHKf5yLhyqvEFsJwCyymwnJIsp8ByCiynwHJKspwCyymwnNKXHpTO4EibA2gH0Q6hCd4p8E6Bdwq8U5J3SqZXCE3whsERBkcYHGHJEQZHGBxhcIQlRxgcYXCEJccYOMbAMQaOMckxBo4xcIyBY0xyjMnEDaEJjr89Kf/m0PCrWJcZhys/xEplf5Delv0BekX2n6dx2X+OHpL9Z+lq2V9JdbIfoSLZQ57sg2Qzs4itLrkxEyVgC9ouNB/afWhH0E6imST0EtpraFFe61yiJpu2mO4zHTGdNBmOmE6beLJxi/E+4xHjSaPhiPG0kWuNuTxR1lGUFvqivB7E9fdoOERwbZBQA6+B3hrU2Vq8a3iNM+WM9vsy9lIZO1nGjpSxL5axxjh+MVNlpcOdPofhrMuZULTO9gpaXVHxOlSmW598O8sWKVppm2RPx7pSpwP922jjaA+hXY1Wh1aNVo5WiGaTuDLQdzmX6CKfRitGK0DThArKzMTdTWqK2XmMJ7KHJl5IpDihp7gEfCcixVXoJiPFW9A9FSnutTXGsSepWNwGsScQucfRH4nYXsf0N2PdNyK2E+geidhq0O2MFFeguzRS/KKtMZFtJ5sqWDv1vgPrFv22iO0SkG2N2ErROSLFRYK6DIoKMVvKuuh19IU619KYJnvEthbdkohttaA2U7EIPDNSuTTPgCZ6ZQIG/f4Y61KZc5HtjO1229tg/x0ci/T4mTaponupcJJd4oy3PV3+VRA32iKN8YIe58O43odF/4TtocIbbfdAFit80na3rcJ2a/mkGehbYPeNUkXEdrU2yR93ptkO2apswfLXbQHbJ2wu2zbbzkLgI7bLbE8LM6mbdfHHn7S1Q+BGrKIwYru4cFKa2Grbb3Paim2rtaeFf2lVTG5d+dPCA1Qd074M/i0rnBQ5vr1ukqU4y0zvmA6bLjWtN6012U1LTItN+aZ0c6rZYk4yJ5jjzWaz0ayauZnM6eLnHRzizyvTjeKv18moiqsqYQsXVx77S1POzJw+QeE0pY23daxnbeEpN7X1auH3OuyTLH7rjrDBvp6FU9uorXN9eJWjbdIU3Rauc7SFTe2Xdo0zdms3sGF+wySjzq5JFhWo63LFD1GNM7rultxjxFj2dbd0d5M1c1+DtSF1Xcrq1ubzXHr0q2PuZZ0P5ofvauvoCj+W3x2uFkA0v7stfJX4mapjPJkntjQf40mi6+46pvp5css2gVf9zd0ge12SIZuTQEbFogOZeT1pggz1ZL0gQ4xidEVgB12B6EAXn0hFkq4oPlHSqUzQjb+itTSPa5qkKSR6RdK8UkjzaJAx4G0eLyqSVHaNdQkq1mXXpGGlUpDNBpJymyTBk5tNCrIxqSxcOUdSqJPUzpLUSl0Km6OxxWjSS2Zo0ktA4/gfvjzrHWxieejA8+KXv3rsLR60nvBN+/qt4UO9mjZ+IKT/JFhRT6+7X/QuTzhk9zSHD9ibtfHlz59n+nkxvdzePE7Pt3R2jT/v9DRHljuXt9hdzd0TDfVdjQt03Tirq6v+PMLqhbAuoauh8TzTjWK6QehqFLoaha4GZ4PU1eIVed/eNW6m9eJ3QWQ/wRfFI4d7cgu612da/OtEQh9bW2A9kHtcJfYILXJ0hxPs68OJaGKqvLG8UUxhn4mpJPHzbvqU9cDagtzj7BF9ygJ0in09zbiWBFFbuHZrW7igY0eXSJWw03X+mAXES05bqcXbjH8YB2XDez4lBc77Cp7vFQqFAuIScuApuS1c1tEWXrkVlphMUNXT3A1cxQxOUSRuPC6uZTI6hUkHjGBBoU5ADiZ+I8AZj6cuEx8zjpm4eFQITuTkV/uewQl+EA3PcXwkUimfl/nIxJJC8fwSnKisjfV4PhV9JKegWvwUQR1YRV8Y650p5QAOFx4uP1w3VjhWPlZnFD+08BCQtofEURqpfEihoCMw4wiAwW6K/XQB9N0fycuXiscE4HB0OwLyN17ow6526L8jA6fPOjagSw1I8cGZgMTwAYoRxyYdoRmmkM4iJ0OSRSr8P1jbNhMKZW5kc3RyZWFtCmVuZG9iagoKNiAwIG9iagoxMDgyNQplbmRvYmoKCjcgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9CQUFBQUErQXJpYWwtQm9sZE1UCi9GbGFncyA0Ci9Gb250QkJveFstNjI3IC0zNzYgMjAwMCAxMDExXS9JdGFsaWNBbmdsZSAwCi9Bc2NlbnQgOTA1Ci9EZXNjZW50IDIxMQovQ2FwSGVpZ2h0IDEwMTAKL1N0ZW1WIDgwCi9Gb250RmlsZTIgNSAwIFI+PgplbmRvYmoKCjggMCBvYmoKPDwvTGVuZ3RoIDI3Mi9GaWx0ZXIvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJxdkc9uhCAQxu88BcftYQNadbuJMdm62cRD/6S2D6AwWpKKBPHg2xcG2yY9QH7DzDf5ZmB1c220cuzVzqIFRwelpYVlXq0A2sOoNElSKpVwe4S3mDpDmNe22+JgavQwlyVhbz63OLvRw0XOPdwR9mIlWKVHevioWx+3qzFfMIF2lJOqohIG3+epM8/dBAxVx0b6tHLb0Uv+Ct43AzTFOIlWxCxhMZ0A2+kRSMl5RcvbrSKg5b9cskv6QXx21pcmvpTzLKs8p8inPPA9cnENnMX3c+AcOeWBC+Qc+RT7FIEfohb5HBm1l8h14MfIOZrc3QS7YZ8/a6BitdavAJeOs4eplYbffzGzCSo83zuVhO0KZW5kc3RyZWFtCmVuZG9iagoKOSAwIG9iago8PC9UeXBlL0ZvbnQvU3VidHlwZS9UcnVlVHlwZS9CYXNlRm9udC9CQUFBQUErQXJpYWwtQm9sZE1UCi9GaXJzdENoYXIgMAovTGFzdENoYXIgMTEKL1dpZHRoc1s3NTAgNzIyIDYxMCA4ODkgNTU2IDI3NyA2NjYgNjEwIDMzMyAyNzcgMjc3IDU1NiBdCi9Gb250RGVzY3JpcHRvciA3IDAgUgovVG9Vbmljb2RlIDggMCBSCj4+CmVuZG9iagoKMTAgMCBvYmoKPDwKL0YxIDkgMCBSCj4+CmVuZG9iagoKMTEgMCBvYmoKPDwvRm9udCAxMCAwIFIKL1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKMSAwIG9iago8PC9UeXBlL1BhZ2UvUGFyZW50IDQgMCBSL1Jlc291cmNlcyAxMSAwIFIvTWVkaWFCb3hbMCAwIDU5NSA4NDJdL0dyb3VwPDwvUy9UcmFuc3BhcmVuY3kvQ1MvRGV2aWNlUkdCL0kgdHJ1ZT4+L0NvbnRlbnRzIDIgMCBSPj4KZW5kb2JqCgoxMiAwIG9iago8PC9Db3VudCAxL0ZpcnN0IDEzIDAgUi9MYXN0IDEzIDAgUgo+PgplbmRvYmoKCjEzIDAgb2JqCjw8L1RpdGxlPEZFRkYwMDQ0MDA3NTAwNkQwMDZEMDA3OTAwMjAwMDUwMDA0NDAwNDYwMDIwMDA2NjAwNjkwMDZDMDA2NT4KL0Rlc3RbMSAwIFIvWFlaIDU2LjcgNzczLjMgMF0vUGFyZW50IDEyIDAgUj4+CmVuZG9iagoKNCAwIG9iago8PC9UeXBlL1BhZ2VzCi9SZXNvdXJjZXMgMTEgMCBSCi9NZWRpYUJveFsgMCAwIDU5NSA4NDIgXQovS2lkc1sgMSAwIFIgXQovQ291bnQgMT4+CmVuZG9iagoKMTQgMCBvYmoKPDwvVHlwZS9DYXRhbG9nL1BhZ2VzIDQgMCBSCi9PdXRsaW5lcyAxMiAwIFIKPj4KZW5kb2JqCgoxNSAwIG9iago8PC9BdXRob3I8RkVGRjAwNDUwMDc2MDA2MTAwNkUwMDY3MDA2NTAwNkMwMDZGMDA3MzAwMjAwMDU2MDA2QzAwNjEwMDYzMDA2ODAwNkYwMDY3MDA2OTAwNjEwMDZFMDA2RTAwNjkwMDczPgovQ3JlYXRvcjxGRUZGMDA1NzAwNzIwMDY5MDA3NDAwNjUwMDcyPgovUHJvZHVjZXI8RkVGRjAwNEYwMDcwMDA2NTAwNkUwMDRGMDA2NjAwNjYwMDY5MDA2MzAwNjUwMDJFMDA2RjAwNzIwMDY3MDAyMDAwMzIwMDJFMDAzMT4KL0NyZWF0aW9uRGF0ZShEOjIwMDcwMjIzMTc1NjM3KzAyJzAwJyk+PgplbmRvYmoKCnhyZWYKMCAxNgowMDAwMDAwMDAwIDY1NTM1IGYgCjAwMDAwMTE5OTcgMDAwMDAgbiAKMDAwMDAwMDAxOSAwMDAwMCBuIAowMDAwMDAwMjI0IDAwMDAwIG4gCjAwMDAwMTIzMzAgMDAwMDAgbiAKMDAwMDAwMDI0NCAwMDAwMCBuIAowMDAwMDExMTU0IDAwMDAwIG4gCjAwMDAwMTExNzYgMDAwMDAgbiAKMDAwMDAxMTM2OCAwMDAwMCBuIAowMDAwMDExNzA5IDAwMDAwIG4gCjAwMDAwMTE5MTAgMDAwMDAgbiAKMDAwMDAxMTk0MyAwMDAwMCBuIAowMDAwMDEyMTQwIDAwMDAwIG4gCjAwMDAwMTIxOTYgMDAwMDAgbiAKMDAwMDAxMjQyOSAwMDAwMCBuIAowMDAwMDEyNDk0IDAwMDAwIG4gCnRyYWlsZXIKPDwvU2l6ZSAxNi9Sb290IDE0IDAgUgovSW5mbyAxNSAwIFIKL0lEIFsgPEY3RDc3QjNEMjJCOUY5MjgyOUQ0OUZGNUQ3OEI4RjI4Pgo8RjdENzdCM0QyMkI5RjkyODI5RDQ5RkY1RDc4QjhGMjg+IF0KPj4Kc3RhcnR4cmVmCjEyNzg3CiUlRU9GCg=="}}}]},
+ {"role": "assistant", "content": [{"text": "foo bar 2"}]}, {"role": "user", "content": [{"text": "What is in the documents?"}]}],
+ "system": [], "inferenceConfig": {}}'
+ headers:
+ amz-sdk-invocation-id:
+ - !!binary |
+ NjNjMWFiZTUtMjVhMS00M2Y0LWE3ZWQtZjE3MmYwODllNWFl
+ amz-sdk-request:
+ - !!binary |
+ YXR0ZW1wdD0x
+ content-length:
+ - '35917'
+ content-type:
+ - !!binary |
+ YXBwbGljYXRpb24vanNvbg==
+ method: POST
+ uri: https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-3-7-sonnet-20250219-v1%3A0/converse
+ response:
+ headers:
+ connection:
+ - keep-alive
+ content-length:
+ - '506'
+ content-type:
+ - application/json
+ parsed_body:
+ metrics:
+ latencyMs: 1820
+ output:
+ message:
+ content:
+ - text: Based on the documents you've shared, both Document 1.pdf and Document 2.pdf contain the text "Dummy PDF
+ file". These appear to be placeholder or sample PDF documents rather than files with substantial content.
+ role: assistant
+ stopReason: end_turn
+ usage:
+ cacheReadInputTokenCount: 0
+ cacheReadInputTokens: 0
+ cacheWriteInputTokenCount: 0
+ cacheWriteInputTokens: 0
+ inputTokens: 145
+ outputTokens: 48
+ totalTokens: 193
+ status:
+ code: 200
+ message: OK
+version: 1
diff --git a/tests/models/test_bedrock.py b/tests/models/test_bedrock.py
index c19fa94af..a214f03d1 100644
--- a/tests/models/test_bedrock.py
+++ b/tests/models/test_bedrock.py
@@ -30,13 +30,12 @@
UserPromptPart,
VideoUrl,
)
-from pydantic_ai.models.bedrock import BedrockModelSettings
from pydantic_ai.usage import Usage
from ..conftest import IsDatetime, try_import
with try_import() as imports_successful:
- from pydantic_ai.models.bedrock import BedrockConverseModel
+ from pydantic_ai.models.bedrock import BedrockConverseModel, BedrockModelSettings
from pydantic_ai.providers.bedrock import BedrockProvider
pytestmark = [
@@ -560,3 +559,25 @@ async def test_bedrock_empty_system_prompt(allow_model_requests: None, bedrock_p
assert result.output == snapshot(
'The capital of France is Paris. Paris, officially known as "Ville de Paris," is not only the capital city but also the most populous city in France. It is located in the northern central part of the country along the Seine River. Paris is a major global city, renowned for its cultural, political, economic, and social influence. It is famous for its landmarks such as the Eiffel Tower, the Louvre Museum, Notre-Dame Cathedral, and the Champs-Élysées, among many other historic and modern attractions. The city has played a significant role in the history of art, fashion, gastronomy, and science.'
)
+
+
+@pytest.mark.vcr()
+async def test_bedrock_multiple_documents_in_history(
+ allow_model_requests: None, bedrock_provider: BedrockProvider, document_content: BinaryContent
+):
+ m = BedrockConverseModel(model_name='us.anthropic.claude-3-7-sonnet-20250219-v1:0', provider=bedrock_provider)
+ agent = Agent(model=m)
+
+ result = await agent.run(
+ 'What is in the documents?',
+ message_history=[
+ ModelRequest(parts=[UserPromptPart(content=['Here is a PDF document: ', document_content])]),
+ ModelResponse(parts=[TextPart(content='foo bar')]),
+ ModelRequest(parts=[UserPromptPart(content=['Here is another PDF document: ', document_content])]),
+ ModelResponse(parts=[TextPart(content='foo bar 2')]),
+ ],
+ )
+
+ assert result.output == snapshot(
+ 'Based on the documents you\'ve shared, both Document 1.pdf and Document 2.pdf contain the text "Dummy PDF file". These appear to be placeholder or sample PDF documents rather than files with substantial content.'
+ )
diff --git a/tests/models/test_instrumented.py b/tests/models/test_instrumented.py
index bb55679cf..a09e29e86 100644
--- a/tests/models/test_instrumented.py
+++ b/tests/models/test_instrumented.py
@@ -692,3 +692,47 @@ def __repr__(self):
'event.name': 'gen_ai.tool.message',
},
]
+
+
+def test_messages_to_otel_events_instructions():
+ messages = [
+ ModelRequest(instructions='instructions', parts=[UserPromptPart('user_prompt')]),
+ ModelResponse(parts=[TextPart('text1')]),
+ ]
+ assert [
+ InstrumentedModel.event_to_dict(e) for e in InstrumentedModel.messages_to_otel_events(messages)
+ ] == snapshot(
+ [
+ {'content': 'instructions', 'role': 'system', 'event.name': 'gen_ai.system.message'},
+ {'content': 'user_prompt', 'role': 'user', 'gen_ai.message.index': 0, 'event.name': 'gen_ai.user.message'},
+ {
+ 'role': 'assistant',
+ 'content': 'text1',
+ 'gen_ai.message.index': 1,
+ 'event.name': 'gen_ai.assistant.message',
+ },
+ ]
+ )
+
+
+def test_messages_to_otel_events_instructions_multiple_messages():
+ messages = [
+ ModelRequest(instructions='instructions', parts=[UserPromptPart('user_prompt')]),
+ ModelResponse(parts=[TextPart('text1')]),
+ ModelRequest(instructions='instructions2', parts=[UserPromptPart('user_prompt2')]),
+ ]
+ assert [
+ InstrumentedModel.event_to_dict(e) for e in InstrumentedModel.messages_to_otel_events(messages)
+ ] == snapshot(
+ [
+ {'content': 'instructions2', 'role': 'system', 'event.name': 'gen_ai.system.message'},
+ {'content': 'user_prompt', 'role': 'user', 'gen_ai.message.index': 0, 'event.name': 'gen_ai.user.message'},
+ {
+ 'role': 'assistant',
+ 'content': 'text1',
+ 'gen_ai.message.index': 1,
+ 'event.name': 'gen_ai.assistant.message',
+ },
+ {'content': 'user_prompt2', 'role': 'user', 'gen_ai.message.index': 2, 'event.name': 'gen_ai.user.message'},
+ ]
+ )
diff --git a/tests/models/test_openai.py b/tests/models/test_openai.py
index b19c03b6c..5fba5fef8 100644
--- a/tests/models/test_openai.py
+++ b/tests/models/test_openai.py
@@ -176,6 +176,7 @@ async def test_request_simple_success(allow_model_requests: None):
'model': 'gpt-4o',
'n': 1,
'extra_headers': {'User-Agent': IsStr(regex=r'pydantic-ai\/.*')},
+ 'extra_body': None,
},
{
'messages': [
@@ -186,6 +187,7 @@ async def test_request_simple_success(allow_model_requests: None):
'model': 'gpt-4o',
'n': 1,
'extra_headers': {'User-Agent': IsStr(regex=r'pydantic-ai\/.*')},
+ 'extra_body': None,
},
]
@@ -559,6 +561,7 @@ async def test_system_prompt_role(
'model': 'gpt-4o',
'n': 1,
'extra_headers': {'User-Agent': IsStr(regex=r'pydantic-ai\/.*')},
+ 'extra_body': None,
}
]
@@ -635,6 +638,7 @@ async def test_image_url_input(allow_model_requests: None):
],
'n': 1,
'extra_headers': {'User-Agent': IsStr(regex=r'pydantic-ai\/.*')},
+ 'extra_body': None,
}
]
)
diff --git a/tests/test_agent.py b/tests/test_agent.py
index fd823195c..a3b8d2d60 100644
--- a/tests/test_agent.py
+++ b/tests/test_agent.py
@@ -1813,3 +1813,59 @@ def test_instructions_with_message_history():
),
]
)
+
+
+def test_empty_final_response():
+ def llm(messages: list[ModelMessage], info: AgentInfo) -> ModelResponse:
+ if len(messages) == 1:
+ return ModelResponse(parts=[TextPart('foo'), ToolCallPart('my_tool', {'x': 1})])
+ elif len(messages) == 3:
+ return ModelResponse(parts=[TextPart('bar'), ToolCallPart('my_tool', {'x': 2})])
+ else:
+ return ModelResponse(parts=[])
+
+ agent = Agent(FunctionModel(llm))
+
+ @agent.tool_plain
+ def my_tool(x: int) -> int:
+ return x * 2
+
+ result = agent.run_sync('Hello')
+ assert result.output == 'bar'
+
+ assert result.new_messages() == snapshot(
+ [
+ ModelRequest(parts=[UserPromptPart(content='Hello', timestamp=IsNow(tz=timezone.utc))]),
+ ModelResponse(
+ parts=[
+ TextPart(content='foo'),
+ ToolCallPart(tool_name='my_tool', args={'x': 1}, tool_call_id=IsStr()),
+ ],
+ model_name='function:llm:',
+ timestamp=IsNow(tz=timezone.utc),
+ ),
+ ModelRequest(
+ parts=[
+ ToolReturnPart(
+ tool_name='my_tool', content=2, tool_call_id=IsStr(), timestamp=IsNow(tz=timezone.utc)
+ )
+ ]
+ ),
+ ModelResponse(
+ parts=[
+ TextPart(content='bar'),
+ ToolCallPart(tool_name='my_tool', args={'x': 2}, tool_call_id=IsStr()),
+ ],
+ model_name='function:llm:',
+ timestamp=IsNow(tz=timezone.utc),
+ ),
+ ModelRequest(
+ parts=[
+ ToolReturnPart(
+ tool_name='my_tool', content=4, tool_call_id=IsStr(), timestamp=IsNow(tz=timezone.utc)
+ )
+ ]
+ ),
+ ModelResponse(parts=[], model_name='function:llm:', timestamp=IsNow(tz=timezone.utc)),
+ ]
+ )
diff --git a/tests/test_tools.py b/tests/test_tools.py
index 7677121a1..69864a040 100644
--- a/tests/test_tools.py
+++ b/tests/test_tools.py
@@ -549,6 +549,20 @@ def test_init_plain_tool_invalid():
Tool(ctx_tool, takes_ctx=False)
+@pytest.mark.parametrize(
+ 'args, expected',
+ [
+ ('', {}),
+ ({'x': 42, 'y': 'value'}, {'x': 42, 'y': 'value'}),
+ ('{"a": 1, "b": "c"}', {'a': 1, 'b': 'c'}),
+ ],
+)
+def test_tool_call_part_args_as_dict(args: Union[str, dict[str, Any]], expected: dict[str, Any]):
+ part = ToolCallPart(tool_name='foo', args=args)
+ result = part.args_as_dict()
+ assert result == expected
+
+
def test_return_pydantic_model():
agent = Agent('test')