optionsahoy-langchain 0.1.5

LangChain tools for the OptionsAhoy equity-compensation calculators.

optionsahoy-langchain

LangChain tools for the OptionsAhoy equity-compensation calculators. One StructuredTool per OptionsAhoy REST endpoint, built on the keyless optionsahoy client. No OptionsAhoy account, no application programming interface (API) key, full federal tax code plus all 50 states and the District of Columbia (DC).

Why not just ask the model?

We benchmarked five frontier large language models (LLMs), 3 runs each, 15 trials total, on the same multi-year incentive stock option (ISO) exercise problem. Every trial overshot the true after-tax outcome, by 2x to 20x. Multi-year scheduling has a search space larger than an LLM can reason through in-context; these tools return the verifiable answer instead.

Raw responses and scoring: llm-iso-benchmark. Full write-up: But can it do taxes though?.

Verified

Beyond determinism, the tax math is independently verified, every release: every 2026 federal constant matches its IRS Rev. Proc. 2025-32 value, worked federal cases reproduce to the cent against the independently-maintained PSL Tax-Calculator, and state tax reproduces to the cent against OpenTaxSolver across CA, NY, NJ, PA, and MA, with the headline answer recomputed live in your browser. Proof, shown beside the public sources: https://optionsahoy.com/verification

What it provides

get_optionsahoy_tools() returns seven StructuredTools, each with a pydantic args_schema mirroring its endpoint:

• optionsahoy_amt_iso_optimize - multi-year ISO exercise optimizer under the alternative minimum tax (AMT)
• optionsahoy_nso_calculate - non-qualified stock option (NSO) exercise tax, sell-at-exercise versus hold
• optionsahoy_rsu_sell_vs_hold - restricted stock unit (RSU) sell at vest versus hold for long-term capital gains
• optionsahoy_concentration_analyze - single-stock concentration risk and the after-tax cost of diversifying
• optionsahoy_protective_put_price - protective put and zero-cost collar pricing
• optionsahoy_qsbs_check - qualified small business stock (QSBS) Section 1202 eligibility and exclusion
• optionsahoy_equity_funding_plan - multi-year plan to fund a cash goal from equity by a target date

Coverage spans the full federal tax code plus all 50 states and DC. The adapter pulls in the keyless optionsahoy client automatically. No API key is read, stored, or sent anywhere.

Tools: inputs and outputs

Each tool's args_schema lists the required parameters below; every tool also accepts optional forward-looking fields (such as expectedSalePrice, volatility, expectedMarketReturn) and, where noted, a convenience ticker so the API can derive forward-looking inputs from that symbol. Returns are the top-level fields of the response, wrapped as {"ok": true, "result": {...}}; the fields below are those of result.

optionsahoy_amt_iso_optimize

Optimizes a multi-year incentive stock option (ISO) exercise schedule under the alternative minimum tax (AMT): how many shares to exercise each year so the after-tax outcome is best.

• Inputs (required): shares (ISO shares available to exercise), strike (exercise price per share, USD), fmv (current fair market value per share, USD), filingStatus (single | married_joint | head_household), ordinaryIncome (annual ordinary income before this exercise, USD), stateCode (two-letter US state code, or DC), carryforwardCredit (existing AMT credit carryforward, USD), horizon (planning horizon in years, 1 to 10), cashReturnRate (annual return on cash held instead of exercising, decimal), grantDate (ISO grant date, YYYY-MM-DD), hasLeftCompany (boolean), terminationDate (YYYY-MM-DD, or null if still employed).
• Optional: expectedGrowth (expected annual share-price growth, decimal), volatility (annualized, decimal), volatilityDrag (0 to 0.99), ticker (covered public symbol to source expected return from).
• Returns: crossoverShares and crossoverBargain (the share count and bargain-element dollar amount at which AMT starts to bite this year); alreadyInAmt (boolean, whether the holder is already in AMT before exercising); stateHasAmt (boolean); bargainPerShare (fair market value minus strike, USD); effectiveHorizon (years actually usable, capped by grant expiration); timing (key dates: grantExpiration, qdEligibleDate for the qualifying-disposition long-term threshold, exerciseWindowClose, daysUntilWindowClose, windowClosed, qdNotYetEligible); and schedules with three strategies lumpSum, evenSplit, and optimized. Each schedule carries years[] (per year: shares exercised, bargain, regularFederal, regularState, tmtFederal and tmtState tentative minimum tax, amtOwedFederal and amtOwedState AMT actually owed above regular tax, creditRecovered, cashTax total cash tax that year) plus totalTax, creditEarned and creditRemaining (AMT credit generated and still unrecovered), grossGain, federalLTCG and stateLTCG (long-term capital-gains tax at final sale), and nfv (net future value of the schedule).

optionsahoy_nso_calculate

Computes the tax and after-tax proceeds of exercising non-qualified stock options (NSOs), comparing selling at exercise against holding for later long-term capital gains.

• Inputs (required): shares (NSO shares to exercise), strike (exercise price per share, USD), currentPrice (current share price, USD), ordinaryIncome (annual ordinary income before this exercise, USD), filingStatus (single | married_joint | head_household), stateCode (two-letter, or DC), stillEmployed (boolean; payroll taxes differ once separated), holdYears (years held after exercise, at least 1), holdFunding (sell-to-cover | cash; how the exercise is funded).
• Optional: expectedSalePrice (USD), haircut (risk haircut on expected upside, 0 to 1), volatility (decimal), expectedMarketReturn (decimal), ticker (covered symbol to source expected return).
• Returns: exercise (bargainElement ordinary income at exercise, plus federal, state, socialSecurity, medicare, additionalMedicare taxes, total, and netCashSellAll cash kept if you sell every share at exercise); bracketJump (fromRate, toRate, thresholdAtJump: the marginal-rate jump this exercise triggers); hold (the hold-and-sell-later path: sharesRetained, expectedGain, ltcgTotal long-term capital-gains tax at sale, afterTaxProceedsAtSale, netAtYearN net wealth at the end of the hold); sellNowInvest (the alternative of selling now and investing the proceeds: netCashAtY0, marketGain, netAtYearN); holdMinusCashless (the dollar difference between holding and the sell-now path, positive favors holding).

optionsahoy_rsu_sell_vs_hold

Compares selling vested restricted stock units (RSUs) at vest against holding them, on an after-tax, risk-adjusted basis.

• Inputs (required): shares (vested RSU shares), currentPrice (USD), ordinaryIncome (annual ordinary income, USD), filingStatus (single | married_joint | head_household), stateCode (two-letter, or DC), stillEmployed (boolean), holdYears (years to hold, 0.25 to 5).
• Optional: expectedSalePrice (USD), haircut (0 to 1), volatility (decimal), expectedMarketReturn (decimal), ticker (covered symbol).
• Returns: vest (taxes due at vest: vestValue ordinary income recognized, federal, state, medicare, total, netCashAtVest, and federalWithheldAtVest the typical flat withholding); bracketJump (fromRate, toRate, thresholdAtJump); hold (sharesRetained, expectedGain, capGainTotal capital-gains tax at sale, isLongTerm boolean, netAtYearN net wealth from holding); sellNowInvest (netCashAtY0, marketGain, netAtYearN from selling at vest and investing); holdMinusSell (dollar difference, positive favors holding).

optionsahoy_concentration_analyze

Quantifies single-stock concentration risk and compares the after-tax cost of three responses: sell down, hold, or hedge.

• Inputs (required): positionValue (current market value of the position, USD), costBasis (total cost basis, USD), acquisitionDate (earliest lot, YYYY-MM-DD; sets the one-year long-term threshold), sector (one of tech_software, semiconductors, consumer_cyclical, consumer_defensive, financials, healthcare_biotech, energy, industrials, communication, broad_market; sets default volatility), stateCode (two-letter, or DC), filingStatus (single | married_joint | head_household), ordinaryIncome (USD), totalAssets (whole investable portfolio including this position, USD).
• Optional: expectedPositionReturn (decimal) and expectedMarketReturn (decimal), or ticker (covered symbol to derive both); volatility (decimal), volatilityDrag (0 to 0.99), hedgeChoice ({kind: put|collar, protectionLevel, tenorYears, upsideCapPct}).
• Returns: concentration (position divided by totalAssets, 0 to 1); riskBand (a label: Low | Moderate | Concentrated | Highly concentrated | Extreme); isLongTermToday (boolean), longTermDate and daysUntilLongTerm (when the position reaches long-term treatment); lossExposure[] (dollar loss and resulting concentration at 30/50/70 percent drops: drop, dollarLoss, newConcentration); waitForLtInsight (a string nudge to wait for long-term rates, or null); schedule[] (after-tax sell-down plans, each planKey/planLabel, yearlySales, totalTax, endOfHorizonWealth, savingsVsLumpSum, wealthByYear); hedging (put or collar strike, putPrice, sigma, riskFreeRate, present when hedgeChoice is given); sectorContextLine and advisorBenchmarkLine (human-readable summary strings).

optionsahoy_protective_put_price

Prices a protective put and a zero-cost collar for a stock position at a chosen downside-protection level and tenor.

• Inputs (required): positionValue (market value to hedge, USD), sector (one of tech_software, semiconductors, consumer_cyclical, consumer_defensive, financials, healthcare_biotech, energy, industrials, communication, broad_market; sets default volatility), protectionLevel (downside protected as a fraction, 0.05 to 0.5), tenorYears (hedge tenor in years, at least 0.25).
• Optional: volatility (annualized, decimal), expectedReturn (decimal), tickerLabel (display label for the symbol).
• Returns: inputs (the resolved inputs including the volatility used); riskFreeRate and realWorldDrift (rates used to price); barePut (the put alone: strike, premium, annualCost, annualCostPct, maxLoss, coveredLossAtBadYear); collar (put financed by selling a call: putStrike, callStrike, netPremium, maxLoss, upsideCap and upsideCapPct the gain you give up, isZeroCost boolean); payoffTable[] (profit and loss at each drawdown: drawdownPct, barePutPnl, collarPnl, unhedgedPnl); payoffRange (lowerPct, upperPct); recommended (bare-put | collar | none).

optionsahoy_qsbs_check

Checks qualified small business stock (QSBS) Section 1202 eligibility and computes the resulting federal capital-gains exclusion.

• Inputs (required): acquisitionDate and saleDate (YYYY-MM-DD; the gap sets the holding period), entityType (us-c-corp | other), acquisitionMethod (original-issuance | gift-or-inheritance | secondary | unsure), assetCategory (issuer gross assets at issuance: under-50m | 50m-to-75m | over-75m | unsure), industry (tech-software | manufacturing | biotech-research | retail-wholesale | health-services | law | engineering | architecture | accounting-actuarial | consulting | finance | farming | extraction | hospitality | performing-arts | other-services | unsure), activeBusiness (yes | no | unsure), adjustedBasis (USD), expectedGain (USD), stateCode (two-letter, or DC), ordinaryIncome (USD), filingStatus (single | married_joint | head_household).
• Returns: verdict (qualifies | partial | does-not-qualify and similar); exclusionPercent (fraction of gain excluded, 0 to 1); perIssuerCap, tenXBasisCap (ten-times-basis cap), and applicableCap (the binding cap, USD); excludableGain and taxableGain (USD); federalTaxSaved (USD); stateConforms (full | partial | none) and stateNote (explanation string); holdingYears; yearsUntilFullExclusion; era (which Section 1202 ruleset applies, for example pre-obbba); tests[] (each eligibility test: id, label, status pass | fail | warn, detail).

optionsahoy_equity_funding_plan

Plans which equity lots to sell, and when, to fund a cash goal by a target date at the least after-tax cost, accounting for holding-period thresholds and shortfall risk.

• Inputs (required): targetAfterTax (after-tax cash goal to raise, USD), targetDate (when the cash is needed, YYYY-MM-DD), ordinaryIncome (USD), filingStatus (single | married_joint | head_household), stateCode (two-letter, or DC), plus the holdings as either stacks (preferred: a list of stacks, each with currentPrice and a lots list of {shares, costBasisPerShare, acquisitionDate, vestDate?}, optional per-stack ticker, expectedAnnualGrowth, volatility) or the legacy lots plus a single currentPrice.
• Optional: expectedAnnualGrowth (decimal), cashInterestRate (decimal), riskToleranceShortfall (acceptable probability of shortfall, 0 to 1), defaultVolatility (decimal), today (override for the current date, YYYY-MM-DD).
• Returns: four named plans recommended, lockInNow, balanced, holdForGrowth, plus frontier[] (the full risk/return frontier), and the echoed targetAfterTax, targetDateISO, appliedRiskTolerance. Each plan carries planKey/planLabel, wealthAtTarget (projected net wealth at the target date), totalTax, shortfallProbability (chance of missing the goal), and a plan with feasible (boolean), totalAfterTaxAchieved, totalSharesSold, totalGrossProceeds, totalTaxes (federal, state, niit, total), schedule (per-year sales with per-lot shares, grossProceeds, gainAmount, isLongTerm, federalTax, stateTax, niit, netCash), comparison (savings versus selling everything in the target year), and remainingShares/remainingPositionValue (what is left unsold).

To see the full typed input schema for any tool, call tools[0].args_schema.model_json_schema() (substitute the tool you want). The authoritative request schemas are the OpenAPI spec at https://optionsahoy.com/openapi.json and the agent docs at https://optionsahoy.com/for-agents.

Install

pip install optionsahoy-langchain

Quickstart

Bind the tools to any tool-calling chat model and run a minimal tool-calling loop:

import os

from langchain_core.messages import AIMessage, HumanMessage, SystemMessage, ToolMessage
from langchain_openai import ChatOpenAI  # pip install langchain-openai; set OPENAI_API_KEY

from langchain_optionsahoy import get_optionsahoy_tools

tools = get_optionsahoy_tools()
tools_by_name = {t.name: t for t in tools}

model = ChatOpenAI(model="gpt-4o-mini", temperature=0)
model_with_tools = model.bind_tools(tools)

messages = [
    SystemMessage(content=(
        "You are an equity-compensation assistant. Use the OptionsAhoy tools to "
        "compute exact tax-aware answers; do not estimate the math yourself."
    )),
    HumanMessage(content=(
        "I have 8000 ISOs at a $3 strike, current fair market value $40, granted "
        "2022-03-01, still employed. I file single in California with $250000 of "
        "ordinary income, no AMT carryforward, 4% cash return, 5-year horizon. "
        "How many shares should I exercise each year? "
        "Use the optionsahoy_amt_iso_optimize tool."
    )),
]

# Minimal tool-calling loop: invoke the model, run any tools it requests,
# append results as ToolMessages, repeat until it gives a final answer.
for _ in range(5):
    ai: AIMessage = model_with_tools.invoke(messages)
    messages.append(ai)
    if not ai.tool_calls:
        print(ai.content)
        break
    for call in ai.tool_calls:
        result = tools_by_name[call["name"]].invoke(call["args"])
        messages.append(ToolMessage(content=str(result), tool_call_id=call["id"]))

Pass your own configured client with get_optionsahoy_tools(client=OptionsAhoyClient(...)).

The seven endpoints accept forward-looking fields (such as expectedSalePrice or volatility) that the schema marks optional but the API requires at call time; set a covered ticker (for example "NVDA") to let the API derive them, or pass explicit values. Omitting both returns a clear 400 explaining which field is needed.

Runnable example and source

• Runnable example: examples/
• Source: integrations/python/optionsahoy-langchain

Related

Sibling packages wrapping the same calculators:

• optionsahoy - plain Python client (no framework)
• llama-index-tools-optionsahoy - LlamaIndex tools
• crewai-optionsahoy - CrewAI tools

Other surfaces for the same calculators:

• Hosted Model Context Protocol (MCP) server: https://optionsahoy.com/mcp
• Agent integration docs: https://optionsahoy.com/for-agents
• Free in-browser calculators: https://optionsahoy.com/tools

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