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fix: cookbooks stale paths left by the directory renumber (#9789)

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## Summary

`cookbook/90_tools` and `cookbook/92_models` were renumbered to
`91_tools` and `90_models` by #6042 (2026-01-19), and #6515 (the v2.5
restructure) deleted a set of per-provider examples. Neither pass
updated the references. 296 `cookbook/...` paths across the repo pointed
at directories and files that no longer exist, and nothing in CI checks
path references, so this went unnoticed for seven months.

This resolves every reference that has a live target, removes the
entries whose target no longer exists anywhere, and fixes one case that
was breaking at runtime rather than in docs.

### Runtime fix

`cookbook/frameworks/langgraph/langgraph_session_agentos.py` passed
`app="langgraph_tools_agentos:app"` to `agent_os.serve`. `AgentOS.serve`
hands a string straight to uvicorn, which imports that module — and
`langgraph_tools_agentos` does not exist, so the example could never
start. It now self-references.

### Path fixes

- `cookbook/92_models/...` -> `cookbook/90_models/...`, resolved
folder-locally so a README never points at another provider's file
- pre-restructure flat paths: `cookbook/storage/`, `cookbook/db/`,
`cookbook/agents/`, `cookbook/07_knowledge/cloud|protocol|vector_db/`
- `cookbook/run_pgvector.sh` -> `cookbook/scripts/run_pgvector.sh`;
`./scripts/run_mongodb.sh` -> `./cookbook/scripts/run_mongodb.sh` (7
files)
- self-references in files that moved a directory deeper
(`06_storage/*`, `07_knowledge/09_archive/*`, `frameworks/langgraph/*`,
`91_tools/google/workspace/*`, `91_tools/workspace_tools/*`,
`91_tools/scheduler_tools.py`)
- `storage.py` -> each provider's own `db.py` (renamed per provider;
only `meta/llama_openai` kept the old name)
- renamed successors: `image_agent.py` -> `image_input_url.py`
(anthropic), `image_input.py` (gemini), `image_agent_bytes.py` (watsonx)
- `CONTRIBUTING.md`: four paths that misdirect new contributors, plus
`tools/toolkit/toolkit.py` -> `tools/toolkit.py`
- `08_learning/setup_venv.sh`: `venv_setup.sh` (words transposed) and
`1_user_profile_always.py` -> `1a_user_profile_always.py`

### Removals — target deleted upstream, not renamed

- 8 sections whose script exists nowhere: 6 `async_*` examples folded
into `basic.py` in v3.0, plus `aws/bedrock` storage/knowledge (that
folder has neither file; sibling `aws/claude` does and keeps both
sections)
- 83 `- Streaming on` / `- Streaming off` bullets. Every v3.0 `basic.py`
runs Sync, Sync+Streaming, Async and Async+Streaming in its `__main__`,
so both labels were factually wrong, not only the ones whose file was
deleted.

### Label corrections

- `perplexity` §5 ran `cohere/tool_use.py`; now runs its own
`web_search.py`, bullet relabelled from "DuckDuckGo Search"
- `azure/ai_foundry` ran four `azure/openai/*.py` scripts; now runs its
own
- `litellm` said "DuckDuckGo Search" but the script imports
`YFinanceTools` -> "Financial data"
- `mistral` said "DuckDuckGo search" but the script defines a local
`@tool` -> "Custom tool"

Section numbering is resequenced in every README a removal touched.

## Type of change

- [x] Bug fix
- [ ] New feature
- [ ] Breaking change
- [x] Improvement
- [ ] Model update
- [ ] Other:

---

## Checklist

- [x] Code complies with style guidelines
- [x] Ran format/validation scripts (`./scripts/format.sh` and
`./scripts/validate.sh`)
- [x] Self-review completed
- [x] Documentation updated (comments, docstrings)
- [x] Examples and guides: Relevant cookbook examples have been included
or updated (if applicable)
- [x] Tested in clean environment
- [ ] Tests added/updated (if applicable)

### Duplicate and AI-Generated PR Check

- [x] I have searched existing [open pull requests](../../pulls) and
confirmed that no other PR already addresses this issue
- [x] If a similar PR exists, I have explained below why this PR is a
better approach
- [ ] Check if this PR was entirely AI-generated (by Copilot, Claude
Code, Cursor, etc.)

---

## Additional Notes
This commit is contained in:
Harsh
2026-08-26 10:34:54 +05:30
committed by GitHub
parent 3c6ae209c8
commit e5651dcc36
92 changed files with 259 additions and 761 deletions
Download Patch File Download Diff File Expand all files Collapse all files
CONTRIBUTING.md
+5 -5
View File
@@ -81,7 +81,7 @@ Make sure all tests pass before submitting your pull request. If you add new fea
- The `VectorDb` interface is defined in `libs/agno/agno/vectordb/base.py`
- Import your `VectorDb` Class in `libs/agno/agno/vectordb/<your_db>/__init__.py`.
- Checkout the [`libs/agno/agno/vectordb/pgvector/pgvector`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/vectordb/pgvector/pgvector.py) file for an example.
4. Add a recipe for using your `VectorDb` under `cookbook/07_knowledge/vector_db/<your_db>`.
4. Add a recipe for using your `VectorDb` under `cookbook/07_knowledge/09_archive/vector_dbs/<your_db>`.
- Checkout [`cookbook/07_knowledge/09_archive/vector_dbs/pgvector_db`](https://github.com/agno-agi/agno/blob/main/cookbook/07_knowledge/09_archive/vector_dbs/pgvector_db.py) for an example.
5. Important: Format and validate your code by running `./scripts/format.sh` and `./scripts/validate.sh`.
6. Submit a pull request.
@@ -118,7 +118,7 @@ Make sure all tests pass before submitting your pull request. If you add new fea
- CI enforces registration: `test_every_model_subclass_is_registered` statically discovers every
concrete `Model` subclass and fails if one is missing. If your class is an abstract base rather
than a user-selectable provider, add it to that test's allowlist instead.
6. Add a recipe for using your Model provider under `cookbook/models/<your_model>`.
6. Add a recipe for using your Model provider under `cookbook/90_models/<your_model>`.
- Checkout [`agno/cookbook/90_models/aws/claude`](https://github.com/agno-agi/agno/tree/main/cookbook/90_models/aws/claude) for an example.
- Show both the model class and string syntax in your examples
7. Important: Format and validate your code by running `./scripts/format.sh` and `./scripts/validate.sh`.
@@ -128,13 +128,13 @@ Make sure all tests pass before submitting your pull request. If you add new fea
1. Setup your local environment by following the [Development setup](#development-setup).
2. Create a new directory under `libs/agno/agno/tools` for the new Tool.
3. Create a Class for your Tool that inherits the `Toolkit` Class from `libs/agno/agno/tools/toolkit/toolkit.py`.
3. Create a Class for your Tool that inherits the `Toolkit` Class from `libs/agno/agno/tools/toolkit.py`.
- Your Class will be in `libs/agno/agno/tools/<your_tool>.py`.
- Make sure to register all functions in your class via a flag.
- Checkout the [`agno/tools/youtube.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/tools/youtube.py) file for an example.
- If your tool requires an API key, checkout the [`agno/tools/serpapi.py`](https://github.com/agno-agi/agno/blob/main/libs/agno/agno/tools/serpapi.py) as well.
4. Add a recipe for using your Tool under `cookbook/tools/<your_tool>`.
- Checkout [`agno/cookbook/91_tools/youtube_tools`](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/youtube_tools.py) for an example.
4. Add a recipe for using your Tool under `cookbook/91_tools/<your_tool>`.
- Checkout [`agno/cookbook/91_tools/youtube_tools.py`](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/youtube_tools.py) for an example.
5. Important: Format and validate your code by running `./scripts/format.sh` and `./scripts/validate.sh`.
6. Submit a pull request.
cookbook/02_agents/07_knowledge/agentic_rag.py
+1 -1
View File
@@ -2,7 +2,7 @@
Agentic Rag
=============================
1. Run: `./cookbook/run_pgvector.sh` to start a postgres container with pgvector.
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector.
"""
from agno.agent import Agent
cookbook/02_agents/07_knowledge/traditional_rag.py
+1 -1
View File
@@ -2,7 +2,7 @@
Traditional Rag
=============================
1. Run: `./cookbook/run_pgvector.sh` to start a postgres container with pgvector.
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector.
"""
from agno.agent import Agent
cookbook/02_agents/14_advanced/background_execution.py
+1 -1
View File
@@ -10,7 +10,7 @@ Requirements:
- OPENAI_API_KEY set
Usage:
.venvs/demo/bin/python cookbook/02_agents/other/background_execution.py
.venvs/demo/bin/python cookbook/02_agents/14_advanced/background_execution.py
"""
import asyncio
cookbook/02_agents/14_advanced/background_execution_structured.py
+1 -1
View File
@@ -9,7 +9,7 @@ Requirements:
- OPENAI_API_KEY set
Usage:
.venvs/demo/bin/python cookbook/02_agents/other/background_execution_structured.py
.venvs/demo/bin/python cookbook/02_agents/14_advanced/background_execution_structured.py
"""
import asyncio
cookbook/02_agents/14_advanced/custom_cancellation_manager.py
+1 -1
View File
@@ -9,7 +9,7 @@ cancellation state to a JSON file, which could be shared across processes
via a network filesystem.
Usage:
.venvs/demo/bin/python cookbook/02_agents/other/custom_cancellation_manager.py
.venvs/demo/bin/python cookbook/02_agents/14_advanced/custom_cancellation_manager.py
"""
import json
cookbook/03_teams/15_distributed_rag/01_distributed_rag_pgvector.py
+3 -3
View File
@@ -138,7 +138,7 @@ async def async_pgvector_rag_demo() -> None:
except Exception as e:
print(f"Error: {e}")
print("Make sure PostgreSQL with pgvector is running!")
print(" Run: ./cookbook/run_pgvector.sh")
print(" Run: ./cookbook/scripts/run_pgvector.sh")
def sync_pgvector_rag_demo() -> None:
@@ -159,7 +159,7 @@ def sync_pgvector_rag_demo() -> None:
except Exception as e:
print(f"Error: {e}")
print("Make sure PostgreSQL with pgvector is running!")
print(" Run: ./cookbook/run_pgvector.sh")
print(" Run: ./cookbook/scripts/run_pgvector.sh")
def complex_query_demo() -> None:
@@ -186,7 +186,7 @@ def complex_query_demo() -> None:
except Exception as e:
print(f"Error: {e}")
print("Make sure PostgreSQL with pgvector is running!")
print(" Run: ./cookbook/run_pgvector.sh")
print(" Run: ./cookbook/scripts/run_pgvector.sh")
if __name__ == "__main__":
cookbook/03_teams/22_metrics/README.md
+1 -1
View File
@@ -16,4 +16,4 @@ Examples for team-level metrics: run metrics, streaming metrics, session metrics
- Some examples require PostgreSQL (`./cookbook/scripts/run_pgvector.sh`).
## Run
- `.venvs/demo/bin/python cookbook/03_teams/metrics/<file>.py`
- `.venvs/demo/bin/python cookbook/03_teams/22_metrics/<file>.py`
cookbook/06_storage/firestore/firestore_for_agent.py
+1 -1
View File
@@ -5,7 +5,7 @@ Steps:
1. Ensure your gcloud project is enabled with Firestore. Reference https://cloud.google.com/firestore/docs/create-database-server-client-library ?
2. Run: `uv pip install openai google-cloud-firestore agno` to install dependencies
3. Make sure your gcloud project is set up and you have the necessary permissions to access Firestore
4. Run: `python cookbook/storage/firestore_storage.py` to run the agent
4. Run: `python cookbook/06_storage/firestore/firestore_for_agent.py` to run the agent
"""
from agno.agent import Agent
cookbook/06_storage/in_memory/in_memory_storage_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/in_memory_storage/in_memory_storage_for_team.py` to run the team
2. Run: `python cookbook/06_storage/in_memory/in_memory_storage_for_team.py` to run the team
"""
from typing import List
cookbook/06_storage/mongo/README.md
+1 -1
View File
@@ -19,7 +19,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
## Configuration
cookbook/06_storage/mongo/async_mongo/README.md
+1 -1
View File
@@ -19,7 +19,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
## Examples
cookbook/06_storage/mongo/async_mongo/async_mongodb_for_agent.py
+1 -1
View File
@@ -13,7 +13,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
"""
cookbook/06_storage/mongo/async_mongo/async_mongodb_for_team.py
+1 -1
View File
@@ -14,7 +14,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
"""
cookbook/06_storage/mongo/async_mongo/async_mongodb_for_workflow.py
+2 -2
View File
@@ -1,6 +1,6 @@
"""
Run: `pip install openai ddgs pymongo motor` to install dependencies
Run: `python cookbook/db/mongo/async_mongo/async_mongodb_for_workflow.py` to run the workflow
Run: `python cookbook/06_storage/mongo/async_mongo/async_mongodb_for_workflow.py` to run the workflow
Run a local MongoDB server using:
```bash
@@ -13,7 +13,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
"""
cookbook/06_storage/mongo/mongodb_for_agent.py
+1 -1
View File
@@ -13,7 +13,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
```
"""
cookbook/06_storage/mongo/mongodb_for_team.py
+1 -1
View File
@@ -14,7 +14,7 @@ docker run -d \
```
or use our script:
```bash
./scripts/run_mongodb.sh
./cookbook/scripts/run_mongodb.sh
"""
from typing import List
cookbook/06_storage/postgres/async_postgres/async_postgres_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/db/async_postgres/async_postgres_for_team.py` to run the team
2. Run: `python cookbook/06_storage/postgres/async_postgres/async_postgres_for_team.py` to run the team
"""
import asyncio
cookbook/06_storage/postgres/postgres_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/postgres_storage/postgres_storage_for_team.py` to run the team
2. Run: `python cookbook/06_storage/postgres/postgres_for_team.py` to run the team
"""
from typing import List
cookbook/06_storage/singlestore/singlestore_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/singlestore_storage/singlestore_storage_for_team.py` to run the team
2. Run: `python cookbook/06_storage/singlestore/singlestore_for_team.py` to run the team
"""
from os import getenv
cookbook/06_storage/sqlite/async_sqlite/async_sqlite_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno sqlalchemy aiosqlite` to install the dependencies
2. Run: `python cookbook/db/async_sqlite/async_sqlite_for_team.py` to run the team
2. Run: `python cookbook/06_storage/sqlite/async_sqlite/async_sqlite_for_team.py` to run the team
"""
import asyncio
cookbook/06_storage/sqlite/async_sqlite/async_sqlite_for_workflow.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
Run: `pip install openai ddgs sqlalchemy aiosqlite` to install dependencies
Run: `python cookbook/db/async_sqlite/async_sqlite_for_workflow.py` to run the workflow
Run: `python cookbook/06_storage/sqlite/async_sqlite/async_sqlite_for_workflow.py` to run the workflow
"""
import asyncio
cookbook/06_storage/sqlite/sqlite_for_team.py
+1 -1
View File
@@ -1,6 +1,6 @@
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/sqlite_storage/sqlite_storage_for_team.py` to run the team
2. Run: `python cookbook/06_storage/sqlite/sqlite_for_team.py` to run the team
"""
from typing import List
cookbook/06_storage/surrealdb/surrealdb_for_agent.py
+1 -1
View File
@@ -14,7 +14,7 @@ surreal start -u root -p root
Then, run this test like this:
```
uv run cookbook/db/surrealdb/surrealdb_for_agent.py
uv run cookbook/06_storage/surrealdb/surrealdb_for_agent.py
```
"""
cookbook/06_storage/surrealdb/surrealdb_for_team.py
+1 -1
View File
@@ -14,7 +14,7 @@ surreal start -u root -p root
Then:
1. Run: `uv pip install anthropic ddgs newspaper4k lxml_html_clean surrealdb agno` to install the dependencies
2. Run: `python cookbook/db/surrealdb/surrealdb_for_team.py` to run the team
2. Run: `python cookbook/06_storage/surrealdb/surrealdb_for_team.py` to run the team
"""
from typing import List
cookbook/06_storage/surrealdb/surrealdb_for_workflow.py
+1 -1
View File
@@ -14,7 +14,7 @@ surreal start -u root -p root
Then:
1. Run: `uv pip install anthropic ddgs newspaper4k lxml_html_clean surrealdb agno` to install the dependencies.
2. Run: `python cookbook/db/surrealdb/surrealdb_for_workflow.py` to run the workflow.
2. Run: `python cookbook/06_storage/surrealdb/surrealdb_for_workflow.py` to run the workflow.
"""
from agno.agent import Agent
cookbook/07_knowledge/09_archive/cloud/azure_blob.py
+1 -1
View File
@@ -32,7 +32,7 @@ Environment Variables:
AZURE_CONTAINER_NAME - Container name
Run this cookbook:
python cookbook/07_knowledge/cloud/azure_blob.py
python cookbook/07_knowledge/09_archive/cloud/azure_blob.py
"""
from os import getenv
cookbook/07_knowledge/09_archive/cloud/cloud_agentos.py
+1 -1
View File
@@ -9,7 +9,7 @@ Once running, the AgentOS API lets you browse sources, upload
content from any configured source, and search the knowledge base.
Run:
python cookbook/07_knowledge/cloud/cloud_agentos.py
python cookbook/07_knowledge/09_archive/cloud/cloud_agentos.py
Key Concepts:
- Each source type has its own config: S3Config, GcsConfig, SharePointConfig, GitHubConfig, AzureBlobConfig
cookbook/07_knowledge/09_archive/cloud/github.py
+1 -1
View File
@@ -15,7 +15,7 @@ Requirements:
- For GitHub App auth: ``pip install PyJWT cryptography``
Run this cookbook:
python cookbook/07_knowledge/cloud/github.py
python cookbook/07_knowledge/09_archive/cloud/github.py
"""
from os import getenv
cookbook/07_knowledge/09_archive/cloud/sharepoint.py
+1 -1
View File
@@ -33,7 +33,7 @@ Environment Variables:
SHAREPOINT_SITE_ID - Full site ID (hostname,guid,guid format)
Run this cookbook:
python cookbook/07_knowledge/cloud/sharepoint.py
python cookbook/07_knowledge/09_archive/cloud/sharepoint.py
"""
from os import getenv
cookbook/07_knowledge/09_archive/custom_retriever/knowledge_tools.py
+1 -1
View File
@@ -3,7 +3,7 @@ Here is a tool with reasoning capabilities to allow agents to search and analyze
1. Run: `uv pip install openai agno lancedb sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `python cookbook/07_knowledge/knowledge_tools.py` to run the agent
3. Run: `python cookbook/07_knowledge/09_archive/custom_retriever/knowledge_tools.py` to run the agent
"""
from agno.agent import Agent
cookbook/07_knowledge/09_archive/filters/isolate_vector_search.py
+1 -1
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@@ -15,7 +15,7 @@ IMPORTANT: If you have existing production data and want to enable isolation, yo
need to re-index your data with isolate_vector_search=True to add the linked_to metadata.
Existing documents without linked_to metadata will NOT be found when isolation is enabled.
Run: `python cookbook/07_knowledge/basic_operations/async/05_isolate_vector_search.py`
Run: `python cookbook/07_knowledge/09_archive/filters/isolate_vector_search.py`
"""
import asyncio
cookbook/07_knowledge/09_archive/protocol/file_system.py
+1 -1
View File
@@ -9,7 +9,7 @@ three tools to the agent:
- list_files: List files matching a glob pattern
- get_file: Read the full contents of a specific file
Run: `python cookbook/07_knowledge/protocol/file_system.py`
Run: `python cookbook/07_knowledge/09_archive/protocol/file_system.py`
"""
from agno.agent import Agent
cookbook/07_knowledge/09_archive/vector_dbs/lance_db_cloud.py
+1 -1
View File
@@ -6,7 +6,7 @@ Requires environment variables:
- LANCE_DB_API_KEY or LANCEDB_API_KEY: LanceDB Cloud API key
Run from repo root with env loaded (e.g. direnv):
.venvs/demo/bin/python cookbook/07_knowledge/vector_db/lance_db_cloud/lance_db_cloud.py
.venvs/demo/bin/python cookbook/07_knowledge/09_archive/vector_dbs/lance_db_cloud.py
"""
import asyncio
cookbook/08_learning/setup_venv.sh
+3 -3
View File
@@ -4,8 +4,8 @@
#
# Learning Machines Environment Setup
#
# Usage: ./cookbook/08_learning/venv_setup.sh
# Run: python cookbook/08_learning/01_basics/1_user_profile_always.py
# Usage: ./cookbook/08_learning/setup_venv.sh
# Run: python cookbook/08_learning/01_basics/1a_user_profile_always.py
#
############################################################################
@@ -70,7 +70,7 @@ echo ""
echo -e " ${BOLD}Done.${NC}"
echo ""
echo -e " ${DIM}Activate:${NC} ${ACTIVATE_CMD}"
echo -e " ${DIM}Run:${NC} python cookbook/08_learning/01_basics/1_user_profile_always.py"
echo -e " ${DIM}Run:${NC} python cookbook/08_learning/01_basics/1a_user_profile_always.py"
echo ""
echo -e " ${DIM}(Activation command copied to clipboard. Just paste and hit enter.)${NC}"
echo ""
cookbook/90_models/README.md
+1 -1
View File
@@ -30,7 +30,7 @@ uv pip install agno openai
export OPENAI_API_KEY=your-key
# Run example
python cookbook/92_models/openai/basic.py
python cookbook/90_models/openai/chat/basic.py
```
## Common Patterns
cookbook/90_models/aimlapi/README.md
+3 -11
View File
@@ -28,16 +28,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/aimlapi/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/aimlapi/basic.py
python cookbook/90_models/aimlapi/basic.py
```
### 5. Run Agent with Tools
@@ -45,12 +37,12 @@ python cookbook/92_models/aimlapi/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/aimlapi/tool_use.py
python cookbook/90_models/aimlapi/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/aimlapi/structured_output.py
python cookbook/90_models/aimlapi/structured_output.py
```
cookbook/90_models/anthropic/README.md
+9 -23
View File
@@ -25,16 +25,8 @@ uv pip install -U anthropic ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/anthropic/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/anthropic/basic.py
python cookbook/90_models/anthropic/basic.py
```
### 5. Run Agent with Tools
@@ -42,19 +34,19 @@ python cookbook/92_models/anthropic/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/anthropic/tool_use.py
python cookbook/90_models/anthropic/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/anthropic/structured_output.py
python cookbook/90_models/anthropic/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/anthropic/storage.py
python cookbook/90_models/anthropic/db.py
```
### 8. Run Agent that uses knowledge
@@ -65,37 +57,31 @@ export OPENAI_API_KEY=***
```
```shell
python cookbook/92_models/anthropic/knowledge.py
python cookbook/90_models/anthropic/knowledge.py
```
### 9. Run Agent that uses memory
```shell
python cookbook/92_models/anthropic/memory.py
python cookbook/90_models/anthropic/memory.py
```
### 10. Run Agent that analyzes an image
```shell
python cookbook/92_models/anthropic/image_agent.py
python cookbook/90_models/anthropic/image_input_url.py
```
### 11. Run Agent with Thinking enabled
- Streaming on
```shell
python cookbook/92_models/anthropic/thinking.py
```
- Streaming off
```shell
python cookbook/92_models/anthropic/thinking_stream.py
python cookbook/90_models/anthropic/thinking.py
```
### 12. Run Agent with Interleaved Thinking
```shell
python cookbook/92_models/anthropic/financial_analyst_thinking.py
python cookbook/90_models/anthropic/financial_analyst_thinking.py
```
### 13. Adaptive Thinking with `output_config`
cookbook/90_models/anthropic/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install anthropic sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/anthropic/memory.py` to run the agent
3. Run: `python cookbook/90_models/anthropic/memory.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/aws/bedrock/README.md
+3 -24
View File
@@ -46,7 +46,6 @@ agent = Agent(
)
```
### 3. Install libraries
```shell
@@ -55,16 +54,8 @@ uv pip install -U boto3 ddgs agno
### 4. Run basic agent
- Streaming on
```shell
python cookbook/92_models/aws/bedrock/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/aws/bedrock/basic.py
python cookbook/90_models/aws/bedrock/basic.py
```
### 5. Run Agent with Tools
@@ -72,23 +63,11 @@ python cookbook/92_models/aws/bedrock/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/aws/bedrock/tool_use.py
python cookbook/90_models/aws/bedrock/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/aws/bedrock/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/aws/bedrock/storage.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/aws/bedrock/knowledge.py
python cookbook/90_models/aws/bedrock/structured_output.py
```
cookbook/90_models/aws/claude/README.md
+5 -13
View File
@@ -38,16 +38,8 @@ uv pip install -U anthropic ddgs agno
### 4. Run basic agent
- Streaming on
```shell
python cookbook/92_models/aws/claude/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/aws/claude/basic.py
python cookbook/90_models/aws/claude/basic.py
```
### 5. Run Agent with Tools
@@ -55,25 +47,25 @@ python cookbook/92_models/aws/claude/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/aws/claude/tool_use.py
python cookbook/90_models/aws/claude/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/aws/claude/structured_output.py
python cookbook/90_models/aws/claude/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/aws/claude/storage.py
python cookbook/90_models/aws/claude/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/aws/claude/knowledge.py
python cookbook/90_models/aws/claude/knowledge.py
```
### 9. Adaptive Thinking with `output_config`
cookbook/90_models/azure/ai_foundry/README.md
+5 -13
View File
@@ -31,16 +31,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/azure/openai/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/azure/openai/basic.py
python cookbook/90_models/azure/ai_foundry/basic.py
```
### 5. Run Agent with Tools
@@ -48,23 +40,23 @@ python cookbook/92_models/azure/openai/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/azure/openai/tool_use.py
python cookbook/90_models/azure/ai_foundry/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/azure/openai/structured_output.py
python cookbook/90_models/azure/ai_foundry/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/azure/openai/storage.py
python cookbook/90_models/azure/ai_foundry/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/azure/openai/knowledge.py
python cookbook/90_models/azure/ai_foundry/knowledge.py
```
cookbook/90_models/azure/openai/README.md
+5 -13
View File
@@ -28,16 +28,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/azure/openai/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/azure/openai/basic.py
python cookbook/90_models/azure/openai/basic.py
```
### 5. Run Agent with Tools
@@ -45,23 +37,23 @@ python cookbook/92_models/azure/openai/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/azure/openai/tool_use.py
python cookbook/90_models/azure/openai/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/azure/openai/structured_output.py
python cookbook/90_models/azure/openai/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/azure/openai/storage.py
python cookbook/90_models/azure/openai/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/azure/openai/knowledge.py
python cookbook/90_models/azure/openai/knowledge.py
```
cookbook/90_models/cohere/README.md
+6 -14
View File
@@ -23,16 +23,8 @@ uv pip install -U cohere ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/cohere/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/cohere/basic.py
python cookbook/90_models/cohere/basic.py
```
### 5. Run Agent with Tools
@@ -40,29 +32,29 @@ python cookbook/92_models/cohere/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/cohere/tool_use.py
python cookbook/90_models/cohere/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/cohere/structured_output.py
python cookbook/90_models/cohere/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/cohere/storage.py
python cookbook/90_models/cohere/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/cohere/knowledge.py
python cookbook/90_models/cohere/knowledge.py
```
### 9. Run Agent that uses memory
```shell
python cookbook/92_models/cohere/memory.py
python cookbook/90_models/cohere/memory.py
```
cookbook/90_models/cohere/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install cohere sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/cohere/memory.py` to run the agent
3. Run: `python cookbook/90_models/cohere/memory.py` to run the agent
"""
from agno.agent.agent import Agent
cookbook/90_models/cometapi/README.md
+10 -50
View File
@@ -29,82 +29,42 @@ uv pip install -U openai duckduckgo-search duckdb agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/cometapi/basic_stream.py
python cookbook/90_models/cometapi/basic.py
```
- Streaming off
```shell
python cookbook/92_models/cometapi/basic.py
```
### 5. Run Async examples
- Basic async
```shell
python cookbook/92_models/cometapi/async_basic.py
```
- Async with streaming
```shell
python cookbook/92_models/cometapi/async_basic_stream.py
```
### 6. Run Agent with Tools
### 5. Run Agent with Tools
- DuckDuckGo Search
```shell
python cookbook/92_models/cometapi/tool_use.py
python cookbook/90_models/cometapi/tool_use.py
```
- Tool use with streaming
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/cometapi/tool_use_stream.py
python cookbook/90_models/cometapi/structured_output.py
```
- Async tool use
```shell
python cookbook/92_models/cometapi/async_tool_use.py
```
- Async tool use with streaming
```shell
python cookbook/92_models/cometapi/async_tool_use_stream.py
```
### 7. Run Agent that returns structured output
```shell
python cookbook/92_models/cometapi/structured_output.py
```
### 8. Image analysis examples
### 7. Image analysis examples
- Basic image analysis
```shell
python cookbook/92_models/cometapi/image_agent.py
python cookbook/90_models/cometapi/image_agent.py
```
- Image analysis with memory
```shell
python cookbook/92_models/cometapi/image_agent_with_memory.py
python cookbook/90_models/cometapi/image_agent_with_memory.py
```
### 9. Multi-model showcase
### 8. Multi-model showcase
```shell
python cookbook/92_models/cometapi/multi_model.py
python cookbook/90_models/cometapi/multi_model.py
```
## Available Models
cookbook/90_models/dashscope/README.md
+8 -42
View File
@@ -23,70 +23,36 @@ uv pip install -U openai ddgs agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/dashscope/basic_stream.py
python cookbook/90_models/dashscope/basic.py
```
- Streaming off
```shell
python cookbook/92_models/dashscope/basic.py
```
### 5. Run async Agent
- Async basic
```shell
python cookbook/92_models/dashscope/async_basic.py
```
- Async streaming
```shell
python cookbook/92_models/dashscope/async_basic_stream.py
```
### 6. Run Agent with Tools
### 5. Run Agent with Tools
- DuckDuckGo Search
```shell
python cookbook/92_models/dashscope/tool_use.py
python cookbook/90_models/dashscope/tool_use.py
```
- Async tool use
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/dashscope/async_tool_use.py
python cookbook/90_models/dashscope/structured_output.py
```
### 7. Run Agent that returns structured output
```shell
python cookbook/92_models/dashscope/structured_output.py
```
### 8. Run Agent that analyzes images
### 7. Run Agent that analyzes images
- Basic image analysis
```shell
python cookbook/92_models/dashscope/image_agent.py
python cookbook/90_models/dashscope/image_agent.py
```
- Image analysis with bytes
```shell
python cookbook/92_models/dashscope/image_agent_bytes.py
```
- Async image analysis
```shell
python cookbook/92_models/dashscope/async_image_agent.py
python cookbook/90_models/dashscope/image_agent_bytes.py
```
For more information about Qwen models and capabilities, visit:
cookbook/90_models/dashscope/knowledge_tools.py
+1 -1
View File
@@ -3,7 +3,7 @@ Here is a tool with reasoning capabilities to allow agents to search and analyze
1. Run: `uv pip install openai agno lancedb sqlalchemy` to install the dependencies
2. Export your OPENAI_API_KEY
3. Run: `cookbook/92_models/dashscope/knowledge_tools.py` to run the agent
3. Run: `cookbook/90_models/dashscope/knowledge_tools.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/deepinfra/README.md
+4 -32
View File
@@ -25,48 +25,20 @@ uv pip install -U openai ddgs agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/deepinfra/basic_stream.py
python cookbook/90_models/deepinfra/basic.py
```
- Streaming off
```shell
python cookbook/92_models/deepinfra/basic.py
```
### 5. Run Async Agent
- Streaming on
```shell
python cookbook/92_models/deepinfra/async_basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/deepinfra/async_basic.py
```
### 6. Run Agent with Tools
### 5. Run Agent with Tools
- DuckDuckGo Search
```shell
python cookbook/92_models/deepinfra/tool_use.py
```
- Async DuckDuckGo Search
```shell
python cookbook/92_models/deepinfra/async_tool_use.py
python cookbook/90_models/deepinfra/tool_use.py
```
### 6. Run Agent that returns JSON output defined by the response model
```shell
python cookbook/92_models/deepinfra/json_output.py
python cookbook/90_models/deepinfra/json_output.py
```
cookbook/90_models/fireworks/README.md
+3 -13
View File
@@ -23,16 +23,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/fireworks/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/fireworks/basic.py
python cookbook/90_models/fireworks/basic.py
```
### 5. Run Agent with Tools
@@ -40,14 +32,12 @@ python cookbook/92_models/fireworks/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/fireworks/tool_use.py
python cookbook/90_models/fireworks/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/fireworks/structured_output.py
python cookbook/90_models/fireworks/structured_output.py
```
cookbook/90_models/google/gemini/README.md
+21 -35
View File
@@ -35,16 +35,8 @@ uv pip install -U google-generativeai ddgs yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/google/gemini/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/google/gemini/basic.py
python cookbook/90_models/google/gemini/basic.py
```
### 5. Run Agent with Tools
@@ -52,90 +44,84 @@ python cookbook/92_models/google/gemini/basic.py
- DuckDuckGo Agent
```shell
python cookbook/92_models/google/gemini/tool_use.py
python cookbook/90_models/google/gemini/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/google/gemini/structured_output.py
python cookbook/90_models/google/gemini/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/google/gemini/storage.py
python cookbook/90_models/google/gemini/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/google/gemini/knowledge.py
python cookbook/90_models/google/gemini/knowledge.py
```
### 9. Run Agent that interprets an audio file
```shell
python cookbook/92_models/google/gemini/audio_input_bytes_content.py
python cookbook/90_models/google/gemini/audio_input_bytes_content.py
```
### 10. Run Agent that analyzes an image
```shell
python cookbook/92_models/google/gemini/image_agent.py
python cookbook/90_models/google/gemini/image_input.py
```
or
```shell
python cookbook/92_models/google/gemini/image_agent_file_upload.py
python cookbook/90_models/google/gemini/image_input_file_upload.py
```
### 11. Run Agent that analyzes a video
```shell
python cookbook/92_models/google/gemini/video_agent_input_bytes_content.py
python cookbook/90_models/google/gemini/video_input_bytes_content.py
```
### 12. Run Agent that uses flash thinking mode from Gemini
### 12. Run Agent with thinking budget configuration
```shell
python cookbook/92_models/google/gemini/flash_thinking_agent.py
python cookbook/90_models/google/gemini/agent_with_thinking_budget.py
```
### 13. Run Agent with thinking budget configuration
### 13. Run agent with URL context
```shell
python cookbook/92_models/google/gemini/agent_with_thinking_budget.py
python cookbook/90_models/google/gemini/url_context.py
```
### 14. Run agent with URL context
### 14. Run agent with URL context + Search Grounding
```shell
python cookbook/92_models/google/gemini/url_context.py
python cookbook/90_models/google/gemini/url_context_with_search.py
```
### 15. Run agent with URL context + Search Grounding
### 15. Run agent with Google Search
```shell
python cookbook/92_models/google/gemini/url_context_with_search.py
python cookbook/90_models/google/gemini/search.py
```
### 16. Run agent with Google Search
### 16. Run agent with Google Search Grounding
```shell
python cookbook/92_models/google/gemini/search.py
python cookbook/90_models/google/gemini/grounding.py
```
### 17. Run agent with Google Search Grounding
### 17. Run agent with Vertex AI Search
```shell
python cookbook/92_models/google/gemini/grounding.py
```
### 18. Run agent with Vertex AI Search
```shell
python cookbook/92_models/google/gemini/vertex_ai_search.py
python cookbook/90_models/google/gemini/vertex_ai_search.py
```
cookbook/90_models/groq/README.md
+9 -26
View File
@@ -23,16 +23,8 @@ uv pip install -U groq ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/groq/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/groq/basic.py
python cookbook/90_models/groq/basic.py
```
### 5. Run Agent with Tools
@@ -40,19 +32,19 @@ python cookbook/92_models/groq/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/groq/tool_use.py
python cookbook/90_models/groq/tool_use.py
```
- Research using Exa
```shell
python cookbook/92_models/groq/research_agent_exa.py
python cookbook/90_models/groq/research_agent_exa.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/groq/structured_output.py
python cookbook/90_models/groq/structured_output.py
```
### 7. Run Agent that uses storage
@@ -60,33 +52,24 @@ python cookbook/92_models/groq/structured_output.py
Please run pgvector in a docker container using:
```shell
./cookbook/run_pgvector.sh
./cookbook/scripts/run_pgvector.sh
```
Then run the following:
```shell
python cookbook/92_models/groq/storage.py
python cookbook/90_models/groq/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/groq/knowledge.py
python cookbook/90_models/groq/knowledge.py
```
Take note that by default, OpenAI embeddings are used and an API key will be required. Alternatively, there are other embedders available that can be used. See more examples in `/cookbook/07_knowledge/embedders`
Take note that by default, OpenAI embeddings are used and an API key will be required. Alternatively, there are other embedders available that can be used. See more examples in `/cookbook/07_knowledge/09_archive/embedders`
### 9. Run Agent that analyzes an image
```shell
python cookbook/92_models/groq/image_agent.py
```
### 10. Run in async mode
```shell
python cookbook/92_models/groq/async/basic_stream.py
```
```shell
python cookbook/92_models/groq/async/basic.py
python cookbook/90_models/groq/image_agent.py
```
cookbook/90_models/huggingface/README.md
+2 -10
View File
@@ -23,16 +23,8 @@ uv pip install -U huggingface_hub agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/huggingface/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/huggingface/basic.py
python cookbook/90_models/huggingface/basic.py
```
### 5. Run agent with tools
@@ -40,5 +32,5 @@ python cookbook/92_models/huggingface/basic.py
- An essay writer using Llama model
```shell
python cookbook/92_models/huggingface/llama_essay_writer.py
python cookbook/90_models/huggingface/llama_essay_writer.py
```
cookbook/90_models/ibm/watsonx/README.md
+6 -14
View File
@@ -41,16 +41,8 @@ uv pip install -U ibm-watsonx-ai ddgs agno
### 4. Run basic agent
- Streaming on
```shell
python cookbook/92_models/ibm/watsonx/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/ibm/watsonx/basic.py
python cookbook/90_models/ibm/watsonx/basic.py
```
### 5. Run Agent with Tools
@@ -58,29 +50,29 @@ python cookbook/92_models/ibm/watsonx/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/ibm/watsonx/tool_use.py
python cookbook/90_models/ibm/watsonx/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/ibm/watsonx/structured_output.py
python cookbook/90_models/ibm/watsonx/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/ibm/watsonx/storage.py
python cookbook/90_models/ibm/watsonx/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/ibm/watsonx/knowledge.py
python cookbook/90_models/ibm/watsonx/knowledge.py
```
### 9. Run Agent that uses images
```shell
python cookbook/92_models/ibm/watsonx/image_agent.py
python cookbook/90_models/ibm/watsonx/image_agent_bytes.py
```
cookbook/90_models/langdb/README.md
+6 -21
View File
@@ -24,54 +24,39 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run Agent without Tools
- Streaming on
```shell
python cookbook/92_models/langdb/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/langdb/basic.py
python cookbook/90_models/langdb/basic.py
```
### 5. Run Agent with Tools
- Yahoo Finance with streaming on
```shell
python cookbook/92_models/langdb/agent_stream.py
```
- Yahoo Finance without streaming
```shell
python cookbook/92_models/langdb/agent.py
python cookbook/90_models/langdb/agent.py
```
- Web Search Agent
```shell
python cookbook/92_models/langdb/web_search.py
python cookbook/90_models/langdb/web_search.py
```
- Data Analyst
```shell
python cookbook/92_models/langdb/data_analyst.py
python cookbook/90_models/langdb/data_analyst.py
```
- Finance Agent
```shell
python cookbook/92_models/langdb/finance_agent.py
python cookbook/90_models/langdb/finance_agent.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/langdb/structured_output.py
python cookbook/90_models/langdb/structured_output.py
```
cookbook/90_models/litellm/README.md
+14 -48
View File
@@ -28,54 +28,40 @@ uv pip install -U litellm ddgs duckdb yfinance agno
### 4. Run an Agent
- Streaming off
```shell
python cookbook/92_models/litellm/basic.py
```
- Streaming on
```shell
python cookbook/92_models/litellm/basic_stream.py
python cookbook/90_models/litellm/basic.py
```
### 5. Run Agent with Tools
- DuckDuckGo Search
- Financial data
```shell
python cookbook/92_models/litellm/tool_use.py
```
- Tool use with streaming
```shell
python cookbook/92_models/litellm/tool_use_stream.py
python cookbook/90_models/litellm/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/litellm/structured_output.py
python cookbook/90_models/litellm/structured_output.py
```
### 7. Run Agent that uses memory
```shell
python cookbook/92_models/litellm/memory.py
python cookbook/90_models/litellm/memory.py
```
### 8. Run Agent that uses storage
```shell
python cookbook/92_models/litellm/storage.py
python cookbook/90_models/litellm/db.py
```
### 9. Run Agent that uses knowledge
```shell
python cookbook/92_models/litellm/knowledge.py
python cookbook/90_models/litellm/knowledge.py
```
### 10. Run Agent that analyzes images
@@ -83,19 +69,19 @@ python cookbook/92_models/litellm/knowledge.py
- URL-based image
```shell
python cookbook/92_models/litellm/image_agent.py
python cookbook/90_models/litellm/image_agent.py
```
- Byte-based image
```shell
python cookbook/92_models/litellm/image_agent_bytes.py
python cookbook/90_models/litellm/image_agent_bytes.py
```
### 11. Run Agent that analyzes audio
```shell
python cookbook/92_models/litellm/audio_input_agent.py
python cookbook/90_models/litellm/audio_input_agent.py
```
### 12. Run Agent that processes PDF files
@@ -103,43 +89,23 @@ python cookbook/92_models/litellm/audio_input_agent.py
- Local PDF file
```shell
python cookbook/92_models/litellm/pdf_input_local.py
python cookbook/90_models/litellm/pdf_input_local.py
```
- Remote PDF URL
```shell
python cookbook/92_models/litellm/pdf_input_url.py
python cookbook/90_models/litellm/pdf_input_url.py
```
- PDF from bytes
```shell
python cookbook/92_models/litellm/pdf_input_bytes.py
python cookbook/90_models/litellm/pdf_input_bytes.py
```
### 13. Run Agent with metrics
```shell
python cookbook/92_models/litellm/metrics.py
```
### 14. Run async Agents
- Basic async
```shell
python cookbook/92_models/litellm/async_basic.py
```
- Async with streaming
```shell
python cookbook/92_models/litellm/async_basic_stream.py
```
- Async with tools
```shell
python cookbook/92_models/litellm/async_tool_use.py
python cookbook/90_models/litellm/metrics.py
```
cookbook/90_models/litellm_openai/README.md
+2 -4
View File
@@ -33,10 +33,8 @@ litellm --model claude-3-sonnet-20240229 --host 127.0.0.1 --port 4000
### 5. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/litellm_proxy/basic_stream.py
python cookbook/90_models/litellm_openai/basic.py
```
### 6. Run Agent with Tools
@@ -44,5 +42,5 @@ python cookbook/92_models/litellm_proxy/basic_stream.py
- DuckDuckGo Search
```shell
python cookbook/92_models/litellm_proxy/tool_use.py
python cookbook/90_models/litellm_openai/tool_use.py
```
cookbook/90_models/llama_cpp/README.md
+3 -19
View File
@@ -27,34 +27,18 @@ uv pip install -U ddgs openai agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/llama_cpp/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/llama_cpp/basic.py
python cookbook/90_models/llama_cpp/basic.py
```
### 5. Run Agent with Tools
- Streaming on
```shell
python cookbook/92_models/llama_cpp/tool_use_stream.py
```
- Streaming off
```shell
python cookbook/92_models/llama_cpp/tool_use.py
python cookbook/90_models/llama_cpp/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/llama_cpp/structured_output.py
python cookbook/90_models/llama_cpp/structured_output.py
```
cookbook/90_models/lmstudio/README.md
+7 -15
View File
@@ -21,16 +21,8 @@ uv pip install -U ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/lmstudio/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/lmstudio/basic.py
python cookbook/90_models/lmstudio/basic.py
```
### 5. Run Agent with Tools
@@ -38,35 +30,35 @@ python cookbook/92_models/lmstudio/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/lmstudio/tool_use.py
python cookbook/90_models/lmstudio/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/lmstudio/structured_output.py
python cookbook/90_models/lmstudio/structured_output.py
```
### 7. Run Agent that uses storage
```shell
python cookbook/92_models/lmstudio/storage.py
python cookbook/90_models/lmstudio/db.py
```
### 8. Run Agent that uses knowledge
```shell
python cookbook/92_models/lmstudio/knowledge.py
python cookbook/90_models/lmstudio/knowledge.py
```
### 9. Run Agent that uses memory
```shell
python cookbook/92_models/lmstudio/memory.py
python cookbook/90_models/lmstudio/memory.py
```
### 10. Run Agent that takes image as input
```shell
python cookbook/92_models/lmstudio/image_agent.py
python cookbook/90_models/lmstudio/image_agent.py
```
cookbook/90_models/lmstudio/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install ollama sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/lmstudio/memory.py` to run the agent
3. Run: `python cookbook/90_models/lmstudio/memory.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/meta/README.md
+2 -18
View File
@@ -29,30 +29,14 @@ uv pip install -U agno openai
### 4. Run a basic Agent
- Streaming on
```shell
python cookbook/92_models/meta/llama/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/meta/llama/basic.py
python cookbook/90_models/meta/llama/basic.py
```
### 5. Run an Agent with Tools
> Run `uv pip install ddgs` to install dependencies.
- Streaming on
```shell
python cookbook/92_models/meta/llama/tool_use_stream.py
```
- Streaming off
```shell
python cookbook/92_models/meta/llama/tool_use.py
python cookbook/90_models/meta/llama/tool_use.py
```
cookbook/90_models/mistral/README.md
+5 -14
View File
@@ -23,35 +23,26 @@ uv pip install -U mistralai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/mistral/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/mistral/basic.py
python cookbook/90_models/mistral/basic.py
```
### 5. Run Agent with Tools
- DuckDuckGo search
- Custom tool
```shell
python cookbook/92_models/mistral/tool_use.py
python cookbook/90_models/mistral/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/mistral/structured_output.py
python cookbook/90_models/mistral/structured_output.py
```
### 7. Run Agent that uses memory
```shell
python cookbook/92_models/mistral/memory.py
python cookbook/90_models/mistral/memory.py
```
cookbook/90_models/mistral/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install mistralai sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/mistral/memory.py` to run the agent
3. Run: `python cookbook/90_models/mistral/memory.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/neosantara/README.md
-16
View File
@@ -23,14 +23,6 @@ uv pip install -U ddgs agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/90_models/neosantara/basic_stream.py
```
- Streaming off
```shell
python cookbook/90_models/neosantara/basic.py
```
@@ -47,11 +39,3 @@ python cookbook/90_models/neosantara/tool_use.py
```shell
python cookbook/90_models/neosantara/structured_output.py
```
### 7. Run Async Examples
```shell
python cookbook/90_models/neosantara/async_basic.py
python cookbook/90_models/neosantara/async_basic_stream.py
python cookbook/90_models/neosantara/async_tool_use.py
```
cookbook/90_models/nexus/README.md
+2 -18
View File
@@ -28,28 +28,12 @@ uv pip install -U openai agno
### 5. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/nexus/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/nexus/basic.py
python cookbook/90_models/nexus/basic.py
```
### 6. Run Agent with Tools
- Streaming on
```shell
python cookbook/92_models/nexus/tool_use.py
```
- Streaming off
```shell
python cookbook/92_models/nexus/tool_use.py
python cookbook/90_models/nexus/tool_use.py
```
cookbook/90_models/nvidia/README.md
+2 -18
View File
@@ -23,28 +23,12 @@ uv pip install -U openai agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/nvidia/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/nvidia/basic.py
python cookbook/90_models/nvidia/basic.py
```
### 5. Run Agent with Tools
- Streaming on
```shell
python cookbook/92_models/nvidia/tool_use_stream.py
```
- Streaming off
```shell
python cookbook/92_models/nvidia/tool_use.py
python cookbook/90_models/nvidia/tool_use.py
```
cookbook/90_models/ollama/README.md
-13
View File
@@ -40,14 +40,7 @@ The `chat/` folder contains examples using the native Ollama Chat API.
### Basic Usage
```shell
# Streaming
python cookbook/90_models/ollama/chat/basic_stream.py
# Non-streaming
python cookbook/90_models/ollama/chat/basic.py
# Async
python cookbook/90_models/ollama/chat/async_basic.py
```
### Tools and Structured Output
@@ -101,12 +94,6 @@ The `responses/` folder contains examples using the OpenAI-compatible Responses
```shell
# Basic
python cookbook/90_models/ollama/responses/basic.py
# Streaming
python cookbook/90_models/ollama/responses/basic_stream.py
# Async
python cookbook/90_models/ollama/responses/async_basic.py
```
### Tools and Structured Output
cookbook/90_models/ollama/chat/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install ollama sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/ollama/memory.py` to run the agent
3. Run: `python cookbook/90_models/ollama/chat/memory.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/openai/chat/README.md
+14 -22
View File
@@ -23,16 +23,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/openai/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/openai/basic.py
python cookbook/90_models/openai/chat/basic.py
```
### 5. Run Agent with Tools
@@ -40,64 +32,64 @@ python cookbook/92_models/openai/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/openai/tool_use.py
python cookbook/90_models/openai/chat/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/openai/structured_output.py
python cookbook/90_models/openai/chat/structured_output.py
```
### 7. Run Agent uses memory
```shell
python cookbook/92_models/openai/memory.py
python cookbook/90_models/openai/chat/memory.py
```
### 8. Run Agent that uses storage
```shell
python cookbook/92_models/openai/storage.py
python cookbook/90_models/openai/chat/db.py
```
### 9. Run Agent that uses knowledge
```shell
python cookbook/92_models/openai/knowledge.py
python cookbook/90_models/openai/chat/knowledge.py
```
### 10. Run Agent that generates an image using Dall-E
```shell
python cookbook/92_models/openai/generate_images.py
python cookbook/90_models/openai/chat/generate_images.py
```
### 11. Run Agent that analyzes an image
```shell
python cookbook/92_models/openai/image_agent.py
python cookbook/90_models/openai/chat/image_agent.py
```
or
```shell
python cookbook/92_models/openai/image_agent_with_memory.py
python cookbook/90_models/openai/chat/image_agent_with_memory.py
```
### 11. Run Agent that analyzes audio
### 12. Run Agent that analyzes audio
```shell
python cookbook/92_models/openai/audio_input_agent.py
python cookbook/90_models/openai/chat/audio_input_agent.py
```
### 12. Run Agent that generates audio
### 13. Run Agent that generates audio
```shell
python cookbook/92_models/openai/audio_output_agent.py
python cookbook/90_models/openai/chat/audio_output_agent.py
```
### 13. Run Agent that returns web search citations
### 14. Run Agent that returns web search citations
```shell
python cookbook/90_models/openai/chat/citations.py
cookbook/90_models/openai/chat/access_memories_in_memory_completed_event.py
+1 -1
View File
@@ -3,7 +3,7 @@ Test script to verify memory events are working correctly.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `pip install openai sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/11_models/openai/chat/access_memories_in_memory_completed_event.py`
3. Run: `python cookbook/90_models/openai/chat/access_memories_in_memory_completed_event.py`
"""
from agno.agent import Agent
cookbook/90_models/openrouter/README.md
-13
View File
@@ -32,14 +32,7 @@ The `chat/` folder contains examples using the OpenRouter Chat API.
### Basic Usage
```shell
# Streaming
python cookbook/90_models/openrouter/chat/basic_stream.py
# Non-streaming
python cookbook/90_models/openrouter/chat/basic.py
# Async
python cookbook/90_models/openrouter/chat/async_basic.py
```
### Tools and Structured Output
@@ -48,9 +41,6 @@ python cookbook/90_models/openrouter/chat/async_basic.py
# Tool use
python cookbook/90_models/openrouter/chat/tool_use.py
# Async tool use
python cookbook/90_models/openrouter/chat/async_tool_use.py
# Structured output
python cookbook/90_models/openrouter/chat/structured_output.py
```
@@ -75,9 +65,6 @@ python cookbook/90_models/openrouter/responses/basic.py
# Streaming
python cookbook/90_models/openrouter/responses/stream.py
# Async
python cookbook/90_models/openrouter/responses/async_basic.py
```
### Tools and Structured Output
cookbook/90_models/perplexity/README.md
+4 -12
View File
@@ -23,29 +23,21 @@ uv pip install -U ddgs duckdb agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/cohere/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/cohere/basic.py
python cookbook/90_models/perplexity/basic.py
```
### 5. Run Agent with Tools
- DuckDuckGo Search
- Web Search
```shell
python cookbook/92_models/cohere/tool_use.py
python cookbook/90_models/perplexity/web_search.py
```
### 6. Run Agent with Knowledge
```shell
python cookbook/92_models/perplexity/knowledge.py
python cookbook/90_models/perplexity/knowledge.py
```
cookbook/90_models/portkey/README.md
+3 -11
View File
@@ -26,20 +26,12 @@ uv pip install -U agno portkey-ai
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/portkey/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/portkey/basic.py
python cookbook/90_models/portkey/basic.py
```
### 5. Run Agent with Tools
```shell
python cookbook/92_models/portkey/tool_use.py
```
python cookbook/90_models/portkey/tool_use.py
```
cookbook/90_models/requesty/README.md
+4 -12
View File
@@ -25,16 +25,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/requesty/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/requesty/basic.py
python cookbook/90_models/requesty/basic.py
```
### 5. Run Agent with Tools
@@ -42,11 +34,11 @@ python cookbook/92_models/requesty/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/requesty/tool_use.py
python cookbook/90_models/requesty/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/requesty/structured_output.py
```
python cookbook/90_models/requesty/structured_output.py
```
cookbook/90_models/sambanova/README.md
+1 -9
View File
@@ -23,16 +23,8 @@ uv pip install -U openai agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/sambanova/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/sambanova/basic.py
python cookbook/90_models/sambanova/basic.py
```
## Disclaimer:
cookbook/90_models/siliconflow/README.md
+3 -11
View File
@@ -23,16 +23,8 @@ uv pip install -U openai duckduckgo-search duckdb agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/siliconflow/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/siliconflow/basic.py
python cookbook/90_models/siliconflow/basic.py
```
### 5. Run Agent with Tools
@@ -40,11 +32,11 @@ python cookbook/92_models/siliconflow/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/siliconflow/tool_use.py
python cookbook/90_models/siliconflow/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/siliconflow/structured_output.py
python cookbook/90_models/siliconflow/structured_output.py
```
cookbook/90_models/together/README.md
+6 -14
View File
@@ -23,45 +23,37 @@ uv pip install -U together openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/together/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/together/basic.py
python cookbook/90_models/together/basic.py
```
### 5. Run Agent with Tools
- DuckDuckGo Search
```shell
python cookbook/92_models/together/tool_use.py
python cookbook/90_models/together/tool_use.py
```
### 6. Run Agent that returns structured output
```shell
python cookbook/92_models/together/structured_output.py
python cookbook/90_models/together/structured_output.py
```
### 7. Run Agent with Image URL Input
```shell
python cookbook/92_models/together/image_agent.py
python cookbook/90_models/together/image_agent.py
```
### 8. Run Agent with Image Input
```shell
python cookbook/92_models/together/image_agent_bytes.py
python cookbook/90_models/together/image_agent_bytes.py
```
### 9. Run Agent with Image Input and Memory
```shell
python cookbook/92_models/together/image_agent_with_memory.py
python cookbook/90_models/together/image_agent_with_memory.py
```
cookbook/90_models/vercel/README.md
+1 -9
View File
@@ -28,14 +28,6 @@ uv pip install -U agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/vercel/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/vercel/basic.py
python cookbook/90_models/vercel/basic.py
```
cookbook/90_models/vertexai/claude/README.md
+8 -24
View File
@@ -34,16 +34,8 @@ uv pip install -U anthropic ddgs duckdb agno
### 5. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/vertexai/claude/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/vertexai/claude/basic.py
python cookbook/90_models/vertexai/claude/basic.py
```
### 6. Run Agent with Tools
@@ -51,19 +43,19 @@ python cookbook/92_models/vertexai/claude/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/vertexai/claude/tool_use.py
python cookbook/90_models/vertexai/claude/tool_use.py
```
### 7. Run Agent that returns structured output
```shell
python cookbook/92_models/vertexai/claude/structured_output.py
python cookbook/90_models/vertexai/claude/structured_output.py
```
### 8. Run Agent that uses storage
```shell
python cookbook/92_models/vertexai/claude/db.py
python cookbook/90_models/vertexai/claude/db.py
```
### 9. Run Agent that uses knowledge
@@ -75,33 +67,25 @@ export OPENAI_API_KEY=***
```
```shell
python cookbook/92_models/vertexai/claude/knowledge.py
python cookbook/90_models/vertexai/claude/knowledge.py
```
### 10. Run Agent that uses memory
```shell
python cookbook/92_models/vertexai/claude/memory.py
python cookbook/90_models/vertexai/claude/memory.py
```
### 11. Run Agent that analyzes an image
```shell
python cookbook/92_models/vertexai/claude/image_input_url.py
python cookbook/90_models/vertexai/claude/image_input_url.py
```
### 12. Run Agent with Thinking enabled
- Streaming on
```shell
python cookbook/92_models/vertexai/claude/thinking.py
```
- Streaming off
```shell
python cookbook/92_models/vertexai/claude/thinking_stream.py
python cookbook/90_models/vertexai/claude/thinking.py
```
### 13. Adaptive Thinking with `output_config`
cookbook/90_models/vertexai/claude/memory.py
+1 -1
View File
@@ -3,7 +3,7 @@ This recipe shows how to use personalized memories and summaries in an agent.
Steps:
1. Run: `./cookbook/scripts/run_pgvector.sh` to start a postgres container with pgvector
2. Run: `uv pip install anthropic sqlalchemy 'psycopg[binary]' pgvector` to install the dependencies
3. Run: `python cookbook/92_models/anthropic/memory.py` to run the agent
3. Run: `python cookbook/90_models/vertexai/claude/memory.py` to run the agent
"""
from agno.agent import Agent
cookbook/90_models/vllm/README.md
+5 -7
View File
@@ -67,8 +67,8 @@ vLLM embedders can load and run embedding models locally without requiring a ser
```
5. **Examples**:
- Basic usage: `cookbook/07_knowledge/embedders/vllm_embedder.py`
- With batching: `cookbook/07_knowledge/embedders/vllm_embedder_batching.py`
- Basic usage: `cookbook/07_knowledge/09_archive/embedders/vllm_embedder_local.py`
- With batching: `cookbook/07_knowledge/09_archive/embedders/vllm_embedder_remote.py`
### Local vs Remote Mode
@@ -99,13 +99,11 @@ vLLM embedders can load and run embedding models locally without requiring a ser
## Examples
```shell
python cookbook/92_models/vllm/basic.py
python cookbook/90_models/vllm/basic.py
```
### Embeddings
- [vllm_embedder.py](../knowledge/embedders/vllm_embedder.py) - Local and remote embeddings
- [vllm_embedder_batching.py](../knowledge/embedders/vllm_embedder_batching.py) - Batch processing
- [vllm_embedder_local.py](../../07_knowledge/09_archive/embedders/vllm_embedder_local.py) - Local embeddings
- [vllm_embedder_remote.py](../../07_knowledge/09_archive/embedders/vllm_embedder_remote.py) - Remote embeddings
cookbook/90_models/xai/README.md
+5 -13
View File
@@ -23,16 +23,8 @@ uv pip install -U openai ddgs duckdb yfinance agno
### 4. Run basic Agent
- Streaming on
```shell
python cookbook/92_models/xai/basic_stream.py
```
- Streaming off
```shell
python cookbook/92_models/xai/basic.py
python cookbook/90_models/xai/basic.py
```
### 5. Run with Tools
@@ -40,25 +32,25 @@ python cookbook/92_models/xai/basic.py
- DuckDuckGo Search
```shell
python cookbook/92_models/xai/tool_use.py
python cookbook/90_models/xai/tool_use.py
```
### 6. Run Agent with Image URL Input
```shell
python cookbook/92_models/xai/image_agent.py
python cookbook/90_models/xai/image_agent.py
```
### 7. Run Agent with Image Input
```shell
python cookbook/92_models/xai/image_agent_bytes.py
python cookbook/90_models/xai/image_agent_bytes.py
```
### 8. Run Agent with Image Input and Memory
```shell
python cookbook/92_models/xai/image_agent_with_memory.py
python cookbook/90_models/xai/image_agent_with_memory.py
```
### 9. Run Agent with SuperGrok sign-in (no API key)
cookbook/91_tools/e2b_tools.py
-4
View File
@@ -120,10 +120,6 @@ if __name__ == "__main__":
"Write Python code to generate the first 10 Fibonacci numbers and calculate their sum and average"
)
# agent.print_response(
# " upload file cookbook/90_tools/sample_data.csv and use it to create a matplotlib visualization of total sales by region and provide chart image or its downloaded path or any link "
# )
# agent.print_response(" use dataset sample_data.csv and create a matplotlib visualization of total sales by region and provide chart image")
# agent.print_response(" run a server and Write a simple fast api web server that displays 'Hello from E2B Sandbox!' and run it , use run_command to get the data from the server and provide the url of api swagger docs and host link")
# agent.print_response(
# " run server and Create and run a Python script that fetch top 5 latest news from hackernews using hackernews api"
cookbook/91_tools/google/workspace/service_account.py
+1 -1
View File
@@ -21,7 +21,7 @@ Setup:
4. Set GOOGLE_SERVICE_ACCOUNT_FILE and GOOGLE_DELEGATED_USER env vars
Run:
.venvs/demo/bin/python cookbook/91_tools/google/google_service_account.py
.venvs/demo/bin/python cookbook/91_tools/google/workspace/service_account.py
"""
from os import getenv
cookbook/91_tools/mcp/mcp_toolbox_demo/README.md
+1 -1
View File
@@ -172,4 +172,4 @@ The agent is configured with two toolsets:
To stop and remove all services:
```bash
docker-compose down -v
```
```
cookbook/91_tools/mcp/sse_transport/README.md
+1 -1
View File
@@ -12,4 +12,4 @@ python cookbook/91_tools/mcp/sse_transport/server.py
python cookbook/91_tools/mcp/sse_transport/client.py
```
Optionally set `refresh_connection` to `True` on the `MCPTools` configuration to refresh the MCP tools on each run.
Optionally set `refresh_connection` to `True` on the `MCPTools` configuration to refresh the MCP tools on each run.
cookbook/91_tools/mcp/streamable_http_transport/README.md
+1 -1
View File
@@ -12,4 +12,4 @@ python cookbook/91_tools/mcp/streamable_http_transport/server.py
python cookbook/91_tools/mcp/streamable_http_transport/client.py
```
Optionally set `refresh_connection` to `True` on the `MCPTools` configuration to refresh the MCP tools on each run.
Optionally set `refresh_connection` to `True` on the `MCPTools` configuration to refresh the MCP tools on each run.
cookbook/91_tools/scheduler_tools.py
+1 -1
View File
@@ -10,7 +10,7 @@ into cron-based schedules that run via the AgentOS scheduler infrastructure.
Prerequisites:
pip install agno[scheduler]
# A running AgentOS server with scheduler enabled
# See cookbook/05_agent_os/scheduler/scheduler_tools_agent.py for full setup
# See cookbook/05_agent_os/12_scheduler/04_scheduler_tools_agent.py for full setup
"""
from agno.agent import Agent
cookbook/91_tools/workspace_tools/README.md
+1 -1
View File
@@ -100,5 +100,5 @@ tools = [Workspace(".", allow_paths=[".env.example"])]
```bash
.venvs/demo/bin/python cookbook/91_tools/workspace_tools/basic_usage.py
.venvs/demo/bin/python cookbook/91_tools/workspace_tools/with_confirmation.py
.venvs/demo/bin/python cookbook/91_tools/workspace_tools/workspace_tools_with_confirmation.py
```
cookbook/environments/_00_quickstart/TEST_LOG.md
+1 -1
View File
@@ -113,6 +113,6 @@ scorer -> grid -> learning_zone() -> to_sft_jsonl wiring was exercised end-to-en
with a stub model (6 tasks, k=2, 12 scored — sound). The live model run was NOT
performed here because no OPENAI_API_KEY was available. Run it with a key to
produce the authentic grid (with duration + cost) for the screenshot:
`.venvs/demo/bin/python cookbook/environments/_07_support_triage.py`
`.venvs/demo/bin/python cookbook/environments/_00_quickstart/_07_support_triage.py`
---
cookbook/frameworks/langgraph/langgraph_session_agentos.py
+2 -2
View File
@@ -8,7 +8,7 @@ Requirements:
pip install langgraph langchain-openai langchain-community
Usage:
python cookbook/frameworks/langgraph/langgraph_tools_agentos.py
python cookbook/frameworks/langgraph/langgraph_session_agentos.py
Then call the API:
# Streaming
@@ -78,4 +78,4 @@ agent_os = AgentOS(agents=[agent])
app = agent_os.get_app()
if __name__ == "__main__":
agent_os.serve(app="langgraph_tools_agentos:app", reload=True)
agent_os.serve(app="langgraph_session_agentos:app", reload=True)
libs/agno/tests/unit/os/test_unified_continue_gate.py
+1 -1
View File
@@ -5,7 +5,7 @@ follow-up, RUNNING/ERROR resume, unresolved HITL raises its own precise
error - so the router carries no paused-only gate. A stale router gate
here once 409'd persisted COMPLETED runs with "run is already continued"
(false: nothing was continued) before the request reached the dispatch
that supports it, breaking cookbook/04_run_lifecycle/checkpoints.py.
that supports it, breaking cookbook/05_agent_os/04_run_lifecycle/checkpoints.py.
These tests pin the gate's absence at the endpoint level. The seeded agent
has no model, so the continuation fails deeper in the machinery - the