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Bump pydantic-ai, prepare for 2.*

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Yiorgis Gozadinos 2026-05-15 15:24:57 +03:00
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1
CHANGELOG.md
View file

@ -4,6 +4,7 @@
### Changed
- Bump `docling>=2.93.0` and `docling-core>=2.75.0`.
- Bump `pydantic-ai-slim>=1.96.0`. Migrate off deprecated APIs: AG-UI imports use `pydantic_ai.ui.ag_ui`, docs/CLI examples use the explicit `openai-chat:` model prefix, and `Agent(retries=)` is split into `tool_retries=` + `output_retries=`.
## [0.47.0] - 2026-05-14

2
app/backend/main.py
View file

@ -6,8 +6,8 @@ from pathlib import Path
from dotenv import find_dotenv, load_dotenv
from pydantic_ai import Agent
from pydantic_ai.ag_ui import AGUIAdapter
from pydantic_ai.ui import SSE_CONTENT_TYPE
from pydantic_ai.ui.ag_ui import AGUIAdapter
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware

2
docs/python.md
View file

@ -490,7 +490,7 @@ skill = create_skill(db_path=db_path, config=config)
toolset = SkillToolset(skills=[skill])
agent = Agent(
"openai:gpt-4o",
"openai-chat:gpt-4o",
instructions=build_system_prompt(toolset.skill_catalog),
toolsets=[toolset],
)

2
docs/skills/analysis.md
View file

@ -59,7 +59,7 @@ analysis = create_analysis_skill(db_path=db_path)
toolset = SkillToolset(skills=[rag, analysis])
agent = Agent(
"openai:gpt-4o",
"openai-chat:gpt-4o",
instructions=build_system_prompt(toolset.skill_catalog),
toolsets=[toolset],
)

4
docs/skills/index.md
View file

@ -31,7 +31,7 @@ skill = create_skill(db_path=db_path, config=config)
toolset = SkillToolset(skills=[skill])
agent = Agent(
"openai:gpt-4o",
"openai-chat:gpt-4o",
instructions=build_system_prompt(toolset.skill_catalog),
toolsets=[toolset],
)
@ -98,7 +98,7 @@ See the individual skill pages for state model details.
For web applications, use pydantic-ai's `AGUIAdapter` to stream tool calls, text, and state deltas:
```python
from pydantic_ai.ag_ui import AGUIAdapter
from pydantic_ai.ui.ag_ui import AGUIAdapter
adapter = AGUIAdapter(agent=agent, run_input=run_input)
event_stream = adapter.run_stream()

3
evaluations/evaluations/evaluators/judge.py
View file

@ -51,7 +51,8 @@ class LLMJudge:
model=model_obj,
output_type=LLMJudgeResponseSchema,
system_prompt=ANSWER_EQUIVALENCE_RUBRIC,
retries=3,
tool_retries=3,
output_retries=3,
)
async def judge_answers(

2
examples/custom_agent_agui.py
View file

@ -16,8 +16,8 @@ import sys
from pathlib import Path
from pydantic_ai import Agent
from pydantic_ai.ag_ui import AGUIAdapter
from pydantic_ai.ui import SSE_CONTENT_TYPE
from pydantic_ai.ui.ag_ui import AGUIAdapter
from starlette.applications import Starlette
from starlette.requests import Request
from starlette.responses import JSONResponse, Response, StreamingResponse

3
haiku_rag_slim/haiku/rag/agents/analysis/agent.py
View file

@ -27,7 +27,8 @@ def create_analysis_agent(config: AppConfig) -> Agent[AnalysisDeps, RawAnalysisR
deps_type=AnalysisDeps,
output_type=RawAnalysisResult,
instructions=ANALYSIS_SYSTEM_PROMPT,
retries=3,
tool_retries=3,
output_retries=3,
)
@agent.tool

3
haiku_rag_slim/haiku/rag/agents/qa/agent.py
View file

@ -69,7 +69,8 @@ class QuestionAnswerAgent:
output_type=RawSearchAnswer,
instructions=system_prompt,
toolsets=[search_toolset],
retries=3,
tool_retries=3,
output_retries=3,
)
deps = _QARunDeps(client=self._client)

9
haiku_rag_slim/haiku/rag/agents/research/graph.py
View file

@ -70,7 +70,8 @@ async def _iterative_plan_logic(
model=model,
output_type=IterativePlanResult,
instructions=effective_prompt,
retries=3,
tool_retries=3,
output_retries=3,
deps_type=ResearchDependencies,
)
@ -120,7 +121,8 @@ async def _search_one_step_logic(
model=model,
output_type=RawSearchAnswer,
instructions=search_prompt,
retries=3,
tool_retries=3,
output_retries=3,
deps_type=ResearchDependencies,
)
@ -222,7 +224,8 @@ def build_research_graph(
model=model,
output_type=ResearchReport,
instructions=synthesis_prompt,
retries=3,
tool_retries=3,
output_retries=3,
deps_type=ResearchDependencies,
)

2
haiku_rag_slim/haiku/rag/chat/app.py
View file

@ -21,7 +21,7 @@ from ag_ui.core import (
)
from jsonpatch import JsonPatch
from pydantic_ai import Agent
from pydantic_ai.ag_ui import AGUIAdapter
from pydantic_ai.ui.ag_ui import AGUIAdapter
from textual.app import App, SystemCommand
from textual.binding import Binding
from textual.widgets import Footer, Header, Input

2
haiku_rag_slim/haiku/rag/cli.py
View file

@ -663,7 +663,7 @@ def chat( # pragma: no cover
model: str | None = typer.Option(
None,
"--model",
help="Model to use for the chat (e.g. openai:gpt-4o)",
help="Model to use for the chat (e.g. openai-chat:gpt-4o)",
),
skill: list[str] | None = typer.Option(
None,

2
haiku_rag_slim/pyproject.toml
View file

@ -30,7 +30,7 @@ dependencies = [
"lancedb==0.30.2",
"pathspec>=1.0.4",
"pydantic>=2.12.5",
"pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]>=1.81.0",
"pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]>=1.96.0",
"pydantic-monty>=0.0.9",
"python-dotenv>=1.2.2",
"pyyaml>=6.0.3",

103
uv.lock
View file

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@ -1157,22 +1193,15 @@ dependencies = [
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@ -1370,7 +1399,7 @@ requests = [
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@ -1621,7 +1650,7 @@ requires-dist = [
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