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Telnyx Email Inbound - curl · team-telnyx | DecimalAI

Industryby team-telnyx

Telnyx Email Inbound - curl

Manage email inboxes, list and search inbound messages, threads, sender filters, and reply to or forward messages.

Maintained

SkillScore

SkillScore95/100

Test results 95

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

14%95%of test cases passed +82 pts

Without skill3 of 22

With skill21 of 22

19 fixed2 passed either way0 still failing1 broke

Measured on gemini-3.6-flash9/3/2026v1

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskWhen forwarding an email using Telnyx inbound email forward action, what HTTP status code does the API return if every action recipient is suppressed, and what field in a 202 response indicates partial suppression?

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add team-telnyx-telnyx-email-inbound-curl
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install team-telnyx-telnyx-email-inbound-curl

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add team-telnyx-telnyx-email-inbound-curl

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-inbound-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add team-telnyx-telnyx-email-inbound-curl

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-inbound-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-inbound-curl/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-inbound-curl.json

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 9/3/2026
Source: team-telnyx/ai ↗
License: MIT

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

Telnyx Email Inbound - curl

Installation

# curl is pre-installed on macOS, Linux, and Windows 10+

Setup

export TELNYX_API_KEY="YOUR_API_KEY_HERE"
export TELNYX_API_BASE="https://api.telnyx.com/v2"

All examples below use $TELNYX_API_KEY for authentication. Resource IDs are UUIDs; store the IDs returned by create and list calls rather than parsing them from email addresses.

Error Handling

All API calls can fail with network errors, authentication errors (401), validation errors (422), temporary service errors (503), or rate limits (429). Capture the HTTP status separately from the JSON response in production:

response_file="$(mktemp)"
status="$({ curl -sS \
  -o "$response_file" \
  -w '%{http_code}' \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_inboxes"; } || printf '000')"

if [[ "$status" != "200" ]]; then
  printf 'Telnyx request failed (HTTP %s)\n' "$status" >&2
  jq . "$response_file" >&2 2>/dev/null || true
fi
rm -f "$response_file"

Common status codes:

Status	Meaning	Action
`400`	Malformed request or send-time prerequisite failure	Fix the request; do not retry unchanged.
`401`	Invalid or missing API key	Replace the key and retry.
`403`	The account or inbox domain cannot send	Correct permissions or sending-domain configuration.
`404`	Resource is missing, deleted, foreign, or the sending domain could not be resolved	Re-list account-scoped resources; do not use the response to infer foreign resource existence.
`422`	Validation failed or every action recipient was suppressed	Read `.errors[]` and fix the referenced field.
`429`	Rate limited or inbox-domain reputation suspended sending	Honor retry guidance for rate limits; reputation suspension requires remediation.
`503`	Inbound storage, actions, or a dependency is unavailable	Retry with bounded exponential backoff and jitter.

Important Notes

Base path: The OpenAPI path names are relative to https://api.telnyx.com/v2.
Authentication: Send Authorization: Bearer $TELNYX_API_KEY on every request.
Identifiers: inbox_id, message_id, and thread_id path parameters are Telnyx UUIDs. A message's RFC Message-ID appears separately as the message_id response field.
Pagination: Inbox listing uses page_size and page_cursor. Message and thread listing uses page[size] and page[after]. Continue with .meta.page_cursor until it is absent.
Safe query encoding: Use curl --get --data-urlencode for bracketed filters such as filter[search]; this avoids shell globbing and preserves spaces.
Delete semantics: Deleting an inbox soft-deletes it, reserves its address, and returns 204 with no response body.

Operational Caveats

Thread identity is composite. Treat every thread as (inbox_id, thread_id), not as thread_id alone. Inbox-scoped routes encode both values in the path. Account-wide GET /email_threads/{thread_id} requires inbox_id as a query parameter.
Labels are not tags. Labels are mutable mailbox state such as spam, promos, or account_alerts; tags are immutable billing and reporting attribution set when outbound mail is sent. Label mutation routes are not yet available through the gateway.
Sender filters are case-insensitive. Entries are normalized to lowercase. Exact addresses and @domain.com domain wildcards are accepted. Blocklist matches beat allowlist matches. Empty or absent lists accept all senders.
Reply and forward use the inbox domain. The action sends from the inbox address through the standard email send pipeline. The inbox must resolve to a valid configured sending domain.
Search is PostgreSQL full-text search. filter[search] searches subject, plain-text body, and HTML body; it is not a literal substring filter. Use filter[from] or filter[subject] for case-insensitive literal substrings.

Reference Use Rules

Do not invent Telnyx parameters, enums, recipient shapes, response fields, or webhook fields.

If a parameter or response field is not shown inline, read references/api-details.md before writing code.
Before composing filters or cursor loops, read request and query parameters.
Before relying on a message, thread, or action response field, read response schemas.
Before implementing an inbound handler, read webhook guidance and the Telnyx webhook documentation.

Core Tasks

Create an inbox

Create an inbox on an account-owned inbound-enabled domain. Both body fields are optional: omit domain_id to use the shared inbound subdomain and omit username to generate a unique local part.

POST /email_inboxes

Parameter	Type	Required	Description
`username`	string	No	Local part, normalized to lowercase; 1-64 characters using letters, digits, dots, hyphens, and underscores.
`domain_id`	UUID	No	Account-owned inbound-enabled domain. Omit for the shared inbound subdomain.

curl -sS \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "username": "support",
    "domain_id": "22222222-2222-2222-2222-222222222222"
  }' \
  "$TELNYX_API_BASE/email_inboxes"

Primary response fields: .data.id, .data.address, .data.status, .data.domain_id, .data.domain, .data.created_at.

List inboxes

Lists non-deleted inboxes newest first with stable cursor pagination.

GET /email_inboxes

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page_size=50' \
  "$TELNYX_API_BASE/email_inboxes"

# Next page: pass the previous response's .meta.page_cursor unchanged.
curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page_size=50' \
  --data-urlencode "page_cursor=$PAGE_CURSOR" \
  "$TELNYX_API_BASE/email_inboxes"

page_size defaults to 20 and accepts 1-250. An absent .meta.page_cursor means there is no next page.

Get an inbox

GET /email_inboxes/{id}

export INBOX_ID="11111111-1111-1111-1111-111111111111"

curl -sS \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID"

Missing, deleted, and foreign inboxes return an opaque 404.

Delete an inbox

Soft-delete an inbox. Its address remains reserved, and list/get no longer return it.

DELETE /email_inboxes/{id}

curl -sS \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID"

Success is 204 No Content. Do not attempt to parse a success response body.

List and search inbound messages

Lists inbound messages newest first. Filters compose with stable cursor pagination.

GET /email_inboxes/{inbox_id}/messages

Query parameter	Behavior
`filter[from]`	Case-insensitive literal substring of sender address.
`filter[subject]`	Case-insensitive literal substring of subject.
`filter[received_after]`	Inclusive ISO 8601 lower timestamp bound.
`filter[received_before]`	Inclusive ISO 8601 upper timestamp bound.
`filter[read]`	Filter by presence of a read timestamp.
`filter[unread]`	Set `true` for messages with no read timestamp.
`filter[label]`	Exact, case-sensitive label filter; label mutation is not yet gateway-routed.
`filter[search]`	PostgreSQL full-text query over subject and bodies, maximum 500 characters.
`page[size]`	1-100; defaults to 25.
`page[after]`	Opaque cursor from `.meta.page_cursor`.

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'filter[search]=quarterly renewal' \
  --data-urlencode 'filter[unread]=true' \
  --data-urlencode 'filter[received_after]=2026-07-01T00:00:00Z' \
  --data-urlencode 'page[size]=25' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages"

Each result includes the Telnyx message UUID in .data[].id, the RFC header value in .data[].message_id, its .data[].thread_id, envelope addresses, body URLs, file metadata, labels, and read/received timestamps.

Mark a message read or unread

PATCH /email_inboxes/{inbox_id}/messages/{message_id}

Set read_at to true for server time, an ISO 8601 timestamp for explicit time, or null to mark unread. Repeating the same update is idempotent.

export MESSAGE_ID="55555555-5555-5555-5555-555555555555"

# Mark read at server time.
curl -sS \
  -X PATCH \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"read_at": true}' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages/$MESSAGE_ID"

# Mark unread.
curl -sS \
  -X PATCH \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"read_at": null}' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages/$MESSAGE_ID"

The response returns the updated inbound message in .data.

Reply to a message

Recipients are derived from the original Reply-To, falling back to From. Original Cc recipients are not included. Telnyx adds the Re: subject prefix and threading headers.

POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/reply

curl -sS \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Thanks for the update. I will review it today."}' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages/$MESSAGE_ID/actions/reply"

At least one of text or html must contain non-whitespace content. Caller-supplied to, cc, and bcc are ignored. Success is 202; .data.id is the queued outbound message ID. Inspect optional .suppressed[] and the X-Telnyx-Reputation-Warning response header.

Reply all to a message

The To list starts with original Reply-To or From and includes original To recipients; Cc includes original Cc. The inbox address is excluded and recipients are de-duplicated case-insensitively. Bcc is empty.

POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/reply_all

curl -sS \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"html": "<p>Everyone, please review the attached update.</p>"}' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages/$MESSAGE_ID/actions/reply_all"

The body rules, 202 response, suppression behavior, domain requirement, and threading behavior are the same as reply.

Forward a message

Supply at least one To recipient. Recipients may be email strings or objects with email and optional name. Telnyx prepends optional text/html notes to a generated forwarded-message block and applies the Fwd: subject prefix.

POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/forward

curl -sS \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "to": [{"email": "[email protected]", "name": "Account Owner"}],
    "cc": "[email protected]",
    "bcc": ["[email protected]"],
    "text": "FYI — please review this inbound request."
  }' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/messages/$MESSAGE_ID/actions/forward"

Success is 202. Partial suppression appears in .suppressed[]; if every recipient is suppressed, the request returns 422 and no message is sent.

List threads in one inbox

GET /email_inboxes/{inbox_id}/threads

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[size]=25' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/threads"

Thread summaries are newest first and include .id, .inbox_id, .subject, .message_count, .unread_count, .last_message_id, and .last_message_at. Although filter[label] can filter existing labels, label mutation is not yet available.

Get a thread and its messages in one inbox

Returns inbound and outbound messages interleaved in chronological order. Message pages are bounded; follow .meta.page_cursor with page[after].

GET /email_inboxes/{inbox_id}/threads/{thread_id}

export THREAD_ID="33333333-3333-3333-3333-333333333333"

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[size]=50' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/threads/$THREAD_ID"

Use .data.messages[].direction to distinguish inbound and outbound entries. Never use the thread ID without retaining its inbox ID.

List threads across the account

Use this for an agent serving multiple inboxes. Omit filter[inbox_id] for every inbox, or repeat it to constrain the account-wide result.

GET /email_threads

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode "filter[inbox_id][]=$INBOX_ID" \
  --data-urlencode "filter[inbox_id][]=22222222-2222-2222-2222-222222222222" \
  --data-urlencode 'page[size]=50' \
  "$TELNYX_API_BASE/email_threads"

The filter also accepts a comma-separated inbox list. Foreign inbox IDs are silently excluded. Route follow-up actions using each row's .inbox_id and .id pair.

Get an account-wide thread

The path has only thread_id, but the required inbox_id query parameter completes the thread's composite identity.

GET /email_threads/{thread_id}

curl -sS --get \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode "inbox_id=$INBOX_ID" \
  --data-urlencode 'page[size]=50' \
  "$TELNYX_API_BASE/email_threads/$THREAD_ID"

Omitting inbox_id is a validation error. Use .meta.page_cursor as page[after] to continue through chronological thread messages.

List sender filters

GET /email_inboxes/{inbox_id}/filters

curl -sS \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/filters"

The current normalized sets are returned in .data.allowlist and .data.blocklist. Empty lists mean accept all senders.

Add sender filter entries

POST performs idempotent set union against one selected list.

POST /email_inboxes/{inbox_id}/filters

curl -sS \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "blocklist",
    "entries": ["[email protected]", "@bulk.spam.example"]
  }' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/filters"

type is allowlist or blocklist. Each list supports up to 500 exact addresses or @domain wildcards. The response contains both resulting lists.

Replace all sender filters

PUT atomically replaces both lists. An omitted list is cleared, so include both keys when preserving one side.

PUT /email_inboxes/{inbox_id}/filters

curl -sS \
  -X PUT \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "allowlist": ["[email protected]", "@partner.example"],
    "blocklist": ["@spam.example"]
  }' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/filters"

If an address matches both lists, blocklist precedence rejects it.

Remove sender filter entries

DELETE performs idempotent set subtraction from one selected list and still returns the current filter state when an entry was not present.

DELETE /email_inboxes/{inbox_id}/filters

curl -sS \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "allowlist",
    "entries": ["[email protected]"]
  }' \
  "$TELNYX_API_BASE/email_inboxes/$INBOX_ID/filters"

Additional Operations

Use the core tasks above first. All 17 reachable operations are indexed below with their exact HTTP method, endpoint, use case, and required parameters; use references/api-details.md for complete request parameters and response schemas. Before using an operation, read the request and query parameter section and the response schema section so you do not guess missing fields.

Operation	SDK method	Endpoint	Use when	Required params
Create an inbox	HTTP only	`POST /email_inboxes`	Provision an inbound mailbox on a shared or account-owned domain.	None
List inboxes	HTTP only	`GET /email_inboxes`	Discover active inboxes and retain their resource IDs.	None
Get an inbox	HTTP only	`GET /email_inboxes/{id}`	Fetch one inbox's current state.	`id`
Delete an inbox	HTTP only	`DELETE /email_inboxes/{id}`	Soft-delete an inbox while leaving its address reserved.	`id`
List inbound messages	HTTP only	`GET /email_inboxes/{inbox_id}/messages`	Search, filter, or page through messages received by one inbox.	`inbox_id`
Update an inbound message	HTTP only	`PATCH /email_inboxes/{inbox_id}/messages/{message_id}`	Mark a message read or unread.	`inbox_id`, `message_id`, `read_at`
Reply to a message	HTTP only	`POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/reply`	Reply only to the original sender or Reply-To address.	`inbox_id`, `message_id`, one of `text` or `html`
Reply all to a message	HTTP only	`POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/reply_all`	Reply to the original sender and the original To/Cc recipients.	`inbox_id`, `message_id`, one of `text` or `html`
Forward a message	HTTP only	`POST /email_inboxes/{inbox_id}/messages/{message_id}/actions/forward`	Forward a received message to caller-selected recipients.	`inbox_id`, `message_id`, `to`
List threads in an inbox	HTTP only	`GET /email_inboxes/{inbox_id}/threads`	Page through conversation summaries for one inbox.	`inbox_id`
Get a thread in an inbox	HTTP only	`GET /email_inboxes/{inbox_id}/threads/{thread_id}`	Fetch one inbox-scoped thread and its message page.	`inbox_id`, `thread_id`
List threads across the account	HTTP only	`GET /email_threads`	Discover conversation summaries across all account inboxes.	None
Get an account-wide thread	HTTP only	`GET /email_threads/{thread_id}`	Fetch a thread using its composite inbox and thread identity.	`thread_id`, `inbox_id`
List sender filters	HTTP only	`GET /email_inboxes/{inbox_id}/filters`	Inspect an inbox's current allowlist and blocklist.	`inbox_id`
Add sender filter entries	HTTP only	`POST /email_inboxes/{inbox_id}/filters`	Add addresses or domain wildcards without replacing existing entries.	`inbox_id`, `type`, `entries`
Replace sender filters	HTTP only	`PUT /email_inboxes/{inbox_id}/filters`	Atomically replace both sender-filter lists.	`inbox_id`
Remove sender filter entries	HTTP only	`DELETE /email_inboxes/{inbox_id}/filters`	Remove addresses or domain wildcards while preserving other entries.	`inbox_id`, `type`, `entries`

Webhook Verification

Telnyx signs email webhooks with Ed25519. Each request includes telnyx-signature-ed25519 and telnyx-timestamp headers. Always verify the signature over the exact raw request body before parsing JSON or processing message content:

1. Read the exact raw HTTP request body bytes.
2. Reject stale telnyx-timestamp values (commonly more than five minutes old).
3. Verify telnyx-signature-ed25519 with the Telnyx public key and SDK webhook helper.
4. Deduplicate by event ID before starting side effects.
5. Return 2xx promptly, then process asynchronously and idempotently.

Ed25519 is asymmetric signature verification, not HMAC. Do not reserialize parsed JSON before verification.

Webhooks

Inbound Email Received

The email.received webhook fires when a message arrives in an inbox. The payload includes event metadata and message content. See the Telnyx webhook documentation for the full payload format.

Telnyx retries webhook deliveries on timeout or non-2xx responses. Keep your endpoint idempotent — the same event may be delivered multiple times. Return 2xx within 10 seconds to acknowledge receipt.

Not Yet Available

The following operations exist in the OpenAPI specification but are not yet routed through the Telnyx API gateway. They will become available after gateway routes are deployed. Do not generate curl examples or call these operations yet.

Drafts (8): ListEmailDrafts, CreateEmailDraft, GetEmailDraft, UpdateEmailDraft, PatchEmailDraft, DeleteEmailDraft, SendEmailDraft, CreateEmailReplyDraft.
Labels (4): AddEmailInboxMessageLabels, RemoveEmailInboxMessageLabels, AddEmailInboxThreadLabels, RemoveEmailInboxThreadLabels.

For exhaustive parameters, request and response schemas, cursor behavior, action semantics, and webhook guidance, see references/api-details.md.

When it activates

Automatically, when a task matches. Use for building email agents that read and respond to incoming email.

About this skill

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Source

Imported

team-telnyx / ai

skills/telnyx-email-inbound-curl/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1Bundled 1 file

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Use this skill

Telnyx Email Inbound - curl

Installation

Setup

Error Handling

Important Notes

Operational Caveats

Reference Use Rules

Core Tasks

Create an inbox

List inboxes

Get an inbox

Delete an inbox

List and search inbound messages

Mark a message read or unread

Reply to a message

Reply all to a message

Forward a message

List threads in one inbox

Get a thread and its messages in one inbox

List threads across the account

Get an account-wide thread

List sender filters

Add sender filter entries

Replace all sender filters

Remove sender filter entries

Additional Operations

Webhook Verification

Webhooks

Inbound Email Received

Not Yet Available

When it activates

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Source

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