pydantic-ai-pathcourse
Pydantic AI integration for PathCourse Health. Build typed, production-grade agents with autonomous USDC billing on Base L2 — no accounts, no credit cards, no KYC.
Install
pip install pydantic-ai-pathcourse
Quick Start
from pydantic_ai import Agent
from pydantic_ai_pathcourse import PathCourseModel
agent = Agent(
model=PathCourseModel("pch-pro"),
system_prompt="You are an expert in autonomous agent infrastructure.",
)
result = agent.run_sync("What is Path Score?")
print(result.data)
Structured output
Pydantic AI's structured-output guarantees work unchanged with PCH:
from pydantic import BaseModel
from pydantic_ai import Agent
from pydantic_ai_pathcourse import PathCourseModel
class InfraReport(BaseModel):
summary: str
requirements: list[str]
risk_level: int
agent = Agent(
model=PathCourseModel("pch-pro"),
result_type=InfraReport,
)
result = agent.run_sync("Analyze autonomous agent infrastructure for a fintech startup.")
print(result.data.requirements)
Tool use
from pydantic_ai import Agent, RunContext
from pydantic_ai_pathcourse import PathCourseModel
agent = Agent(model=PathCourseModel("pch-pro"))
@agent.tool
async def get_balance(ctx: RunContext[None], agent_id: str) -> float:
"""Look up the USDC balance for a PCH agent."""
return 42.50
result = agent.run_sync("What is the balance for agent abc123?")
Models
| Model | Rate | Min tier | Notes |
|---|---|---|---|
pch-fast |
$0.44 / M tokens | uncertified | Fast reasoning, classification, routing |
pch-coder |
$3.50 / M tokens | uncertified | Code generation, debugging |
pch-embed |
$0.015 / M tokens | uncertified | Text embeddings for semantic search / RAG |
pch-translate |
$0.08 / M chars | uncertified | Multilingual translation |
pch-pro |
$1.96 / M tokens | bronze | Deep reasoning, multi-step planning |
pch-audio |
$1.85 / M chars | bronze | Text-to-speech, standard quality |
pch-documents |
$0.26 in / $1.48 out per M tokens | bronze | Document parsing / OCR |
pch-transcribe |
$0.0008 / minute | bronze | Speech-to-text |
pch-extract |
$0.012 / M tokens | bronze | Structured data extraction |
pch-rerank |
$0.025 / M tokens | bronze | Reranking for RAG pipelines |
pch-image |
$0.028 / image | silver | Text-to-image |
pch-audio-premium |
$37.00 / M chars | silver | Text-to-speech, premium quality |
pch-talk |
$0.001 / minute | silver | Voice conversation |
claude-haiku |
Common rate | silver | Anthropic Claude Haiku |
claude-sonnet |
Common rate | gold | Anthropic Claude Sonnet |
PathCourseModel only operates on chat-completion shapes — for image/audio/transcription, use the PCH Python SDK directly.
Choosing a chat model:
- Fast response, simple task →
pch-fast - Complex reasoning, multi-step →
pch-pro - Writing or reviewing code →
pch-coder - Long context or premium reasoning →
claude-sonnet(Gold tier)
Authentication
Set PCH_API_KEY in your environment, or pass pch_api_key= to PathCourseModel.
export PCH_API_KEY=pch_prod_b_...
Developer access — $5 USDC. Send $5+ USDC on Base (chain ID 8453) to the PCH treasury wallet, then call pathcourse.claim_key(tx_hash, wallet) to retrieve your key. No accounts, no credit card, no KYC. $5 buys thousands of pch-fast calls — enough to verify any typed-agent integration. Top up to $25 lifetime and your account auto-upgrades to Uncertified with pch-coder access. Treasury address: see payment.treasury_wallet in /.well-known/agent.json.
Links
- Platform: pathcoursehealth.com
- Pydantic AI: ai.pydantic.dev
- Python SDK: pypi.org/project/pathcourse-sdk
- Integration examples: github.com/pathcourse-health/pch-integration-examples
License
MIT
Metadata
Release files for pydantic-ai-pathcourse 0.1.2
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| pydantic_ai_pathcourse-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for pydantic_ai_pathcourse-0.1.2-py3-none-any.whl |
Total release size: 7.4 kB
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